Contents |
Chapter Title Page
Figures
Figure 3.1a Locations
of Air Sensitive Receivers (Outside WKCD Site)
Figure 3.1b Locations
of Air Sensitive Receivers (Within WKCD Site)
Figure 3.2 Locations
of XRL Air Monitoring Stations Close to the WKCD Site
Figure 3.3a Locations
of Potential Construction Dust Sources from Concrete Batching Plant and its
Haul Road in Year 2013
Figure 3.3b Locations
of Potential Construction Dust Sources (Tier 1) in Year 2013
Figure 3.3c-1 Locations
of Potential Construction Dust Sources from Concrete Batching Plant (Phase 1)
and its Haul Road in Year 2014
Figure 3.3c-2 Locations
of Potential Construction Dust Sources from Concrete Batching Plant (Phase 2)
and its Haul Road in 2014
Figure 3.3c-3 Locations
of Potential Construction Dust Sources (Tier 1) in Year 2014
Figure 3.3d Locations
of Potential Construction Dust Sources from Concrete Batching Plant and its
Haul Road in Year 2015 – 2016
Figure 3.3e Locations
of Potential Construction Dust Sources (Tier 1) in Year 2015
Figure 3.3f Locations
of Potential Construction Dust Sources (Tier 1) in Year 2016
Figure 3.3g Locations
of Potential Construction Dust Sources from Concrete Batching Plant and its
Haul Road in Year 2017 – 2020
Figure 3.3h Locations
of Potential Construction Dust Sources (Tier 1) in Year 2017
Figure 3.3i Locations
of Potential Construction Dust Sources (Tier 1) in Year 2018
Figure 3.3j Locations
of Potential Construction Dust Sources (Tier 1) in Year 2019
Figure 3.3k Locations
of Potential Construction Dust Sources (Tier 1) in Year 2020
Figure 3.4a Locations
of Potential Construction Dust Sources (Tier 2) for P01d-1 at the end of Year
2015
Figure 3.4b Locations
of Potential Construction Dust Sources (Tier 2) for ASR P53-1 at the end of
Year 2015
Figure 3.4c Locations
of Potential Construction Dust Sources (Tier 2) for ASR P01a-1, P01b-1, P01c-1
and P01d-1 at the end of Year 2016
Figure 3.4d Locations
of Potential Construction Dust Sources (Tier 2) for ASR P53-1 at the end of
Year 2016
Figure 3.4e Locations
of Potential Construction Dust Sources (Tier 2) for ASR P39-1 and P52-1 at the
end of Year 2017
Figure 3.4f Locations
of Potential Construction Dust Sources (Tier 2) for ASR P52-1 at the end of
Year 2018
Figure 3.5.1a Road
Links within 500m Assessment Area for 2015 (Key Plan)
Figure 3.5.1b Road
Links within 500m Assessment Area for 2015 (Sheet 1 of 24)
Figure 3.5.1c Road
Links within 500m Assessment Area for 2015 (Sheet 2 of 24)
Figure 3.5.1d Road
Links within 500m Assessment Area for 2015 (Sheet 3 of 24)
Figure 3.5.1e Road
Links within 500m Assessment Area for 2015 (Sheet 4 of 24)
Figure 3.5.1f Road
Links within 500m Assessment Area for 2015 (Sheet 5 of 24)
Figure 3.5.1g Road
Links within 500m Assessment Area for 2015 (Sheet 6 of 24)
Figure 3.5.1h Road
Links within 500m Assessment Area for 2015 (Sheet 7 of 24)
Figure 3.5.1i Road
Links within 500m Assessment Area for 2015 (Sheet 8 of 24)
Figure 3.5.1j Road
Links within 500m Assessment Area for 2015 (Sheet 9 of 24)
Figure 3.5.1k Road
Links within 500m Assessment Area for 2015 (Sheet 10 of 24)
Figure 3.5.1l Road
Links within 500m Assessment Area for 2015 (Sheet 11 of 24)
Figure 3.5.1m Road
Links within 500m Assessment Area for 2015 (Sheet 12 of 24)
Figure 3.5.1n Road
Links within 500m Assessment Area for 2015 (Sheet 13 of 24)
Figure 3.5.1o Road
Links within 500m Assessment Area for 2015 (Sheet 14 of 24)
Figure 3.5.1p Road
Links within 500m Assessment Area for 2015 (Sheet 15 of 24)
Figure 3.5.1q Road
Links within 500m Assessment Area for 2015 (Sheet 16 of 24)
Figure 3.5.1r Road
Links within 500m Assessment Area for 2015 (Sheet 17 of 24)
Figure 3.5.1s Road
Links within 500m Assessment Area for 2015 (Sheet 18 of 24)
Figure 3.5.1t Road
Links within 500m Assessment Area for 2015 (Sheet 19 of 24)
Figure 3.5.1u Road
Links within 500m Assessment Area for 2015 (Sheet 20 of 24)
Figure 3.5.1v Road
Links within 500m Assessment Area for 2015 (Sheet 21 of 24)
Figure 3.5.1w Road
Links within 500m Assessment Area for 2015 (Sheet 22 of 24)
Figure 3.5.1x Road
Links within 500m Assessment Area for 2015 (Sheet 23 of 24)
Figure 3.5.1y Road
Links within 500m Assessment Area for 2015 (Sheet 24 of 24)
Figure 3.6 Location
of Emission Sources for ISCST model
Figure 3.7 Location of Marine
Emission Sources
Figure 3.9 Odour
Sampling Grids and Discharge Points
Figure 3.10 (not used)
Figure 3.11a Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2013 during construction phase (unmitigated)
Figure 3.11b Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2014 during construction phase (unmitigated)
Figure 3.11c Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2015 during construction phase (unmitigated)
Figure 3.11d Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2016 during construction phase (unmitigated)
Figure 3.11e Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2017 during construction phase (unmitigated)
Figure 3.11f Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2018 during construction phase (unmitigated)
Figure 3.11g Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2019 during construction phase (unmitigated)
Figure 3.11h Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2020 during construction phase (unmitigated)
Figure 3.12a Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2013 during construction phase (mitigated)
Figure 3.12b Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2014 during construction phase (mitigated)
Figure 3.12c Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2015 during construction phase (mitigated)
Figure 3.12d Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2016 during construction phase (mitigated)
Figure 3.12e Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2017 during construction phase (mitigated)
Figure 3.12f Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2018 during construction phase (mitigated)
Figure 3.12g Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2019 during construction phase (mitigated)
Figure 3.12h Cumulative
Result – Contour of Tier 1 Hourly TSP Concentration (µg/m3) at 1.5m
above ground at year 2020 during construction phase (mitigated)
Figure 3.13a Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2013 during construction phase (unmitigated)
Figure 3.13b Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2014 during construction phase (unmitigated)
Figure 3.13c Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2015 during construction phase (unmitigated)
Figure 3.13d Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2016 during construction phase (unmitigated)
Figure 3.13e Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2017 during construction phase (unmitigated)
Figure 3.13f Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2018 during construction phase (unmitigated)
Figure 3.13g Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2019 during construction phase (unmitigated)
Figure 3.13h Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2020 during construction phase (unmitigated)
Figure 3.14a Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2013 during construction phase (mitigated)
Figure 3.14b Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2014 during construction phase (mitigated)
Figure 3.14c Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2015 during construction phase (mitigated)
Figure 3.14d Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2016 during construction phase (mitigated)
Figure 3.14e Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2017 during construction phase (mitigated)
Figure 3.14f Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2018 during construction phase (mitigated)
Figure 3.14g Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2019 during construction phase (mitigated)
Figure 3.14h Cumulative
Result – Contour of Tier 1 Daily TSP Concentration (µg/m3) at 1.5m
above ground at year 2020 during construction phase (mitigated)
Figure 3.15a Cumulative
Result – Contour of Tier 2 Hourly TSP Concentration (µg/m3) at 1.5m
above ground for dust sources near ASR P01d-1 at year 2015 during construction
phase (mitigated)
Figure 3.15b Cumulative
Result – Contour of Tier 2 Hourly TSP Concentration (µg/m3) at 1.5m
above ground for dust sources near ASR P53-1 at year 2015 during construction
phase (mitigated)
Figure 3.15c Cumulative
Result – Contour of Tier 2 Hourly TSP Concentration (µg/m3) at 1.5m
above ground for dust sources near ASR P01a-1, P01b-1, P01c-1 and P01d-1 at
year 2016 during construction phase (mitigated)
Figure 3.15d Cumulative
Result – Contour of Tier 2 Hourly TSP Concentration (µg/m3) at 1.5m
above ground for dust sources near ASR P53-1 at year 2016 during construction
phase (mitigated)
Figure 3.15e Cumulative
Result – Contour of Tier 2 Hourly TSP Concentration (µg/m3) at 1.5m
above ground for dust sources near ASR P39-1, P52-1 at year 2017 during
construction phase (mitigated)
Figure 3.15f Cumulative
Result – Contour of Tier 2 Hourly TSP Concentration (µg/m3) at 1.5m
above ground for dust sources near ASR P52-1 at year 2018 during construction
phase (mitigated)
Figure 3.16 Cumulative
Result – Contour of Tier 2 Daily TSP Concentration (µg/m3) at 1.5m
above ground for dust sources near ASR P01b-1 and P01c-1 at year 2016 during
construction phase (mitigated)
Figure 3.17a Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2013 during construction phase (unmitigated)
Figure 3.17b Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2014 during construction phase (unmitigated)
Figure 3.17c Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2015 during construction phase (unmitigated)
Figure 3.17d Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2016 during construction phase (unmitigated)
Figure 3.17e Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2017 during construction phase (unmitigated)
Figure 3.17f Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2018 during construction phase (unmitigated)
Figure 3.17g Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2019 during construction phase (unmitigated)
Figure 3.17h Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2020 during construction phase (unmitigated)
Figure 3.18a Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2013 during construction phase (mitigated)
Figure 3.18b Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2014 during construction phase (mitigated)
Figure 3.18c Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2015 during construction phase (mitigated)
Figure 3.18d Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2016 during construction phase (mitigated)
Figure 3.18e Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2017 during construction phase (mitigated)
Figure 3.18f Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2018 during construction phase (mitigated)
Figure 3.18g Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2019 during construction phase (mitigated)
Figure 3.18h Cumulative
Result – Contour of Annual TSP Concentration (µg/m3) at 1.5m above
ground at year 2020 during construction phase (mitigated)
Figure 3.19 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 1 through portal
Figure 3.20 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 2 through portal
Figure 3.21 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 3 through portal
Figure 3.22 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 4 through portal
Figure 3.23 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 1 through stack
Figure 3.24 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 2 through stack
Figure 3.25 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 3 through stack
Figure 3.26 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 4 through stack
Figure 3.27 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 1 through portal
Figure 3.28 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 2 through portal
Figure 3.29 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 3 through portal
Figure 3.30 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 4 through portal
Figure 3.31 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 1 through stack
Figure 3.32 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 2 through stack
Figure 3.33 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 3 through stack
Figure 3.34 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 4 through stack
Figure 3.35 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 1 through portal
Figure 3.36 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 2 through portal
Figure 3.37 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 3 through portal
Figure 3.38 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 4 through portal
Figure 3.39 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 1 through stack
Figure 3.40 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 2 through stack
Figure 3.41 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 3 through stack
Figure 3.42 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
1.5m above ground during operational phase for scenario 4 through stack
Figure 3.43 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 1 through portal
Figure 3.44 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 2 through portal
Figure 3.45 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 3 through portal
Figure 3.46 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 4 through portal
Figure 3.47 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 1 through stack
Figure 3.48 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 2 through stack
Figure 3.49 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 3 through stack
Figure 3.50 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 4 through stack
Figure 3.51 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 1 through portal
Figure 3.52 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 2 through portal
Figure 3.53 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 3 through portal
Figure 3.54 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 4 through portal
Figure 3.55 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 1 through stack
Figure 3.56 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 2 through stack
Figure 3.57 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 3 through stack
Figure 3.58 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 1.5m above
ground during operational phase for scenario 4 through stack
Figure 3.59 Cumulative
Results - Contour of Hourly SO2 Concentration (µg/m3) at
1.5m above ground during operational phase
Figure 3.60 Cumulative
Results - Contour of Daily SO2 Concentration (µg/m3) at
1.5m above ground during operational phase
Figure 3.61 Cumulative
Results - Contour of Annual SO2 Concentration (µg/m3) at
1.5m above ground during operational phase
Figure 3.62 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
12m above ground during operational phase for scenario 1 through stack
Figure 3.63 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
12m above ground during operational phase for scenario 1 through stack
Figure 3.64 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
12m above ground during operational phase for scenario 1 through stack
Figure 3.65 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 12m above
ground during operational phase for scenario 1 through stack
Figure 3.66 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 12m above
ground during operational phase for scenario 1 through stack
Figure 3.67 Cumulative
Results - Contour of Hourly SO2 Concentration (µg/m3) at
12m above ground during operational phase
Figure 3.68 Cumulative
Results - Contour of Daily SO2 Concentration (µg/m3) at
12m above ground during operational phase
Figure 3.69 Cumulative
Results - Contour of Annual SO2 Concentration (µg/m3) at
12m above ground during operational phase
Figure 3.70 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
40m above ground during operational phase for scenario 1 through stack
Figure 3.71 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
40m above ground during operational phase for scenario 1 through stack
Figure 3.72 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
40m above ground during operational phase for scenario 1 through stack
Figure 3.73 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 40m above
ground during operational phase for scenario 1 through stack
Figure 3.74 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 40m above
ground during operational phase for scenario 1 through stack
Figure 3.75 Cumulative
Results - Contour of Hourly SO2 Concentration (µg/m3) at
40m above ground during operational phase
Figure 3.76 Cumulative
Results - Contour of Daily SO2 Concentration (µg/m3) at
40m above ground during operational phase
Figure 3.77 Cumulative
Results - Contour of Annual SO2 Concentration (µg/m3) at
40m above ground during operational phase
Figure 3.78 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
50m above ground during operational phase for scenario 1 through stack
Figure 3.79 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
50m above ground during operational phase for scenario 1 through stack
Figure 3.80 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
50m above ground during operational phase for scenario 1 through stack
Figure 3.81 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 50m above
ground during operational phase for scenario 1 through stack
Figure 3.82 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 50m above
ground during operational phase for scenario 1 through stack
Figure 3.83 Cumulative
Results - Contour of Hourly SO2 Concentration (µg/m3) at
50m above ground during operational phase
Figure 3.84 Cumulative
Results - Contour of Daily SO2 Concentration (µg/m3) at
50m above ground during operational phase
Figure 3.85 Cumulative
Results - Contour of Annual SO2 Concentration (µg/m3) at
50m above ground during operational phase
Figure 3.86 Cumulative
Results - Contour of Hourly NO2 Concentration (µg/m3) at
60m above ground during operational phase for scenario 1 through stack
Figure 3.87 Cumulative
Results - Contour of Daily NO2 Concentration (µg/m3) at
60m above ground during operational phase for scenario 1 through stack
Figure 3.88 Cumulative
Results - Contour of Annual NO2 Concentration (µg/m3) at
60m above ground during operational phase for scenario 1 through stack
Figure 3.89 Cumulative
Results - Contour of Daily RSP Concentration (µg/m3) at 60m above
ground during operational phase for scenario 1 through stack
Figure 3.90 Cumulative
Results - Contour of Annual RSP Concentration (µg/m3) at 60m above
ground during operational phase for scenario 1 through stack
Figure 3.91 Cumulative
Results - Contour of Hourly SO2 Concentration (µg/m3) at
60m above ground during operational phase
Figure 3.92 Cumulative
Results - Contour of Daily SO2 Concentration (µg/m3) at
60m above ground during operational phase
Figure 3.93 Cumulative
Results - Contour of Annual SO2 Concentration (µg/m3) at
60m above ground during operational phase
Figure 3.94 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Background Scenario)
Figure 3.95 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Current Scenario)
Figure 3.96 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Mitigated - A 1:1 Scenario)
Figure 3.97 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Mitigated - A 1:0.75 Scenario)
Figure 3.98 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Mitigated - A 1:0.50 Scenario)
Figure 3.99 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Mitigated - A 1:0.25 Scenario)
Figure 3.100 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Mitigated - B 1:1 Scenario)
Figure 3.101 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Mitigated - B 1:0.75 Scenario)
Figure 3.102 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Mitigated - B 1:0.50 Scenario)
Figure 3.103 Contour
of 5-s Odour Concentration (ou/m3) at 1.5m
above ground during operation phase (Mitigated - B 1:0.25 Scenario)
Appendices
Appendix 3.1 Details of
Dust Emission Sources for 1-hour and Daily TSP Assessment (Tier 1) from Year
2013 – 2020
Appendix 3.2 Details of
Dust Emission Sources for 1-hour and Daily TSP Assessment (Tier 2) from Year
2015 – 2020
Appendix 3.3 Details of
Dust Emission Sources for Annual TSP Assessment from Year 2013 – 2020
Appendix 3.4 Data Input
of Tier 1 Dust Sources for Unmitigated and Mitigated Scenario including
their Coordinates, Dimensions and Estimated Emission Rates
Appendix 3.5 Data Input
of Tier 2 Dust Sources including their Coordinates, Dimensions and
Estimated Emission Rates
Appendix 3.6 Data Input
of Annual Dust Sources for Unmitigated and Mitigated Scenario including their
Coordinates, Dimensions and Estimated Emission Rates
Appendix 3.7 Detailed
Estimation of the Percentages Active Work Areas
Appendix 3.8 Calculation
of Dust Suppression Efficiency
Appendix 3.9 Letter
from Traffic Department regarding Traffic Forecast Data
Appendix 3.10 24-Hour
Traffic Pattern
Appendix 3.11 Vehicle
Age Distribution in Base Year 2010
Appendix 3.12 Lengths of
Individual Road Links of Connecting Road
Appendix 3.13 24-hour VKT
values for All Vehicle Classes in each of the Model years 2015, 2020, 2025 and
2030
Appendix 3.15 24-hour
variations of Annual Averages of Temperature and Relative Humidity
Appendix 3.16 24-hour speed
fractions
Appendix 3.17 Calculation of
Emission Factors for Each Model Year
Appendix 3.18a Calculation of
emission rate for scenario 1 through portal for ISCST3 model input (for 2015
traffic forecast)
Appendix 3.18b Calculation of
emission rate for scenario 2 through portal for ISCST3 model input (for 2015
traffic forecast)
Appendix 3.18c Calculation of
emission rate for scenario 3 through portal for ISCST3 model input (for 2015
traffic forecast)
Appendix 3.18d Calculation of
emission rate for scenario 4 through portal for ISCST3 model input (for 2015
traffic forecast)
Appendix 3.18e Calculation of
emission rate for scenario 1 through stack for ISCST3 model input (for 2015
traffic forecast)
Appendix 3.18f Calculation of
emission rate for scenario 2 through stack for ISCST3 model input (for 2015
traffic forecast)
Appendix 3.18g Calculation of
emission rate for scenario 3 through stack for ISCST3 model input (for 2015
traffic forecast)
Appendix 3.18h Calculation of
emission rate for scenario 4 through stack for ISCST3 model input (for 2015
traffic forecast)
Appendix 3.19 Calculation
of emission rate for scenario 1 through stack for ISCST3 model input (for 2020
traffic forecast)
Appendix 3.20 Summary data
for EPD's WKCD air quality monitoring station
Appendix 3.21 (not
used)
Appendix 3.22 (not
used)
Appendix 3.23 Composition
Emission factor in Year 2015
Appendix 3.24 Composition
Emission factor in Year 2020
Appendix 3.25 Marine emission calculations
Appendix 3.26a Odour Patrol
Report
Appendix 3.26b Report on
Expert Review of New Yau Ma Tei
Typhoon Shelter (NYMTTS) Odour Source Measurement
Appendix 3.26c Estimation of
Odour Emission Rates
Appendix 3.27 XRL EM&A
TSP monitoring data
Appendix 3.28 Tier 1 TSP Screening
Results for Unmitigated and Mitigated Scenarios including Background
Contribution
Appendix 3.29 Tier 2 TSP Results for Mitigated Scenario including
Background Contribution
Appendix 3.30 Annual TSP Results for
Unmitigated and Mitigated Scenarios including Background Contribution
Appendix 3.31 Modelling
results for SO2, NO2 and RSP during operation phase (for
traffic forecast and background concentrations in 2015)
Appendix 3.32 Modelling
results for NO2 during operation phase (for traffic forecast and
background concentrations in 2020)
Appendix 3.33 Estimation of
Odour Emission Reduction by Improvement of DWFI Interception Efficiency
Appendix 3.34 Estimated
Odour Emission Rates for Background, Current, Mitigated Scenario A and
Mitigated Scenario B
Appendix 3.35 Odour
Modelling Results for Background, Current, Mitigated Scenario A and Mitigated
Scenario B
Appendix 3.36 Review of
Government’s Existing and Planned Measures for New Yau
Ma Tei Typhoon Shelter
This section presents the assessment of potential air quality impacts associated with the construction and operational phase of the proposed Core Arts and Cultural Facilities (CACFs), other Arts and Cultural Facilities (OACFs) and Infrastructure and Support Facilities. Dust generated from various construction activities is the primary concern during the construction phase. During the operation phase the major sources of air pollution include, but are not limited to, vehicular emissions in the vicinity of and within the project area including from open roads, ventilation shafts, tunnel portals and from the nearby Western Harbour Crossing (WHC) portal; marine emissions relating to the nearby China Ferry Terminal, Ocean Terminal and New Yau Ma Tei Public Cargo Working Area (NYPCWA), and; odours from the adjacent New Yau Ma Tei Typhoon Shelter (NYMTTS). Representative Air Sensitive Receivers (ASRs) within 500 m of the subject site have been identified and the worst case impacts on these receivers will be assessed. Suitable mitigation measures, where necessary, have been recommended to protect the nearby sensitive receivers and to achieve the legislative criteria and guidelines.
3.2 Air Quality Legislations, Standards and Guidelines
The following legislation and regulations provide the standards and guidelines for evaluation of air quality impacts and the type of works that are subject to air pollution control:
·
Environmental Impact Assessment Ordinance (EIAO) (Cap. 499.S16),
EIAO-TM, Annexes 4 and 12;
·
Air Pollution Control Ordinance (APCO) (Cap. 311) and the Air Quality
Objectives (AQO);
·
Air Pollution Control (Construction Dust) Regulation;
·
Control of Air Pollution in Car Parks (ProPECC
PN 2/96);
·
Practice Note on Control of Air Pollution in Vehicle Tunnels, and;
·
Guidance Note on the Best Practicable Means for Cement Works (Concrete
Batching Plant) BPM 3/2
3.2.1 Technical Memorandum on Environmental Impact Assessment Process
The criteria and guidelines for evaluation of air quality impacts are laid out in Annex 4 and Annex 12 of the Technical Memorandum on Environmental Impact Assessment Process (EIAO-TM). Annex 4 stipulates the criteria for evaluating air quality impacts. This includes meeting the Air Quality Objectives and other standards established under the Air Pollution Control Ordinance, as well as meeting the hourly Total Suspended Particulate concentration of 500 µg/m3 and the 5-second average odour concentration of 5 odour units (ou). Annex 12 provides the guidelines for conducting air quality assessments under the EIA process, including determination of air sensitive receivers, assessment methodology and impact prediction and assessment.
3.2.2 Air Pollution Control Ordinance
The principal legislation for the management of air quality is the Air Pollution Control Ordinance (APCO) (Cap 311). The APCO specific Air Quality Objectives (AQOs) which stipulate the statutory limits of air pollutants and the maximum allowable numbers of exceedance over specific periods. The AQOs are summarised in Table 3.1.
Table 3.1: Hong Kong Air Quality Objectives
Pollutant |
Averaging
Time |
AQO concentration (µg/m³) |
Allowable exceedances |
Sulfur
Dioxide (SO2) |
1 hour |
800 |
3 |
24 hours |
350 |
1 |
|
Annual |
80 |
0 |
|
Total Suspended Particulates (TSP) |
1 hour(1) |
500(1) |
|
24 hours |
260 |
1 |
|
Annual |
80 |
0 |
|
Respirable Suspended Particulates (RSP) |
24 hours |
180 |
1 |
Annual |
55 |
0 |
|
Nitrogen Dioxide (NO2) |
1 hour |
300 |
3 |
24 hours |
150 |
1 |
|
Annual |
80 |
0 |
|
Carbon Monoxide (CO) |
1 hour |
30,000 |
3 |
8 hours |
10,000 |
1 |
|
Ozone (O3) |
1 hour |
240 |
3 |
Lead |
3 months |
1.5 |
0 |
Note (1) The criterion
under EIAO-TM
not an AQO
3.2.3 Air Pollution Control (Construction Dust) Regulation
The Air Pollution Control (Construction Dust) Regulation enacted under the APCO defines notifiable and regulatory works activities that are subject to construction dust control, as listed below:
Notifiable Works:
1. Site formation
2. Reclamation
3. Demolition of a building
4. Work carried out in any part of a tunnel that is within 100 m of any exit to the open air
5. Construction of the foundation of a building
6. Construction of the superstructure of a building
7. Road construction work
Regulatory Works:
1. Renovation carried out on the outer surface of the external wall or the upper surface of the roof of a building
2. Road opening or resurfacing work
3. Slope stabilisation work
4. Any work involving any of the following activities:
a. Stockpiling of dusty materials
b. Loading, unloading or transfer of dusty materials
c. Transfer of dusty materials using a belt conveyor system
d. Use of vehicles
e. Pneumatic or power-driven drilling, cutting and polishing
f. Debris handling
g. Excavation or earth moving
h. Concrete production
i. Site clearance
j. Blasting
Notifiable works require that advance notice of activities shall be given to EPD. The Regulation also requires the works contractor to ensure that both notifiable works and regulatory works are conducted in accordance with the Schedule of the Regulation, which provides dust control and suppression measures.
3.2.4 Practice Note on Control of Air Pollution in Car Parks and in Vehicle Tunnels
The
practice note for professional persons ProPECC PN 2/96 and the Practice
Note on Control of Air Pollution in Vehicle Tunnels prepared by EPD
provide guidance on the control of air pollution in car parks and vehicle tunnels, respectively. These two practice notes include air quality guidelines required for
the protection of public health and factors that should be considered in the
design and operation of car parks and vehicle tunnels in order to achieve the
required air quality. The limits
for air pollutants as recommended by
the two practice notes are summarised in Table
3.2. As
there will be fully enclosed vehicle roads and car parks inside the proposed
WKCD basement, the air quality within the basement will need to comply with the
relevant air pollutant limits as given in the Table.
Table 3.2: Limits
of air pollutant concentrations inside car parks and
vehicle tunnels
Air Pollutant |
Averaging Time |
Maximum Concentration (μg/m3)* |
Parts Per Million (ppm) |
Remark |
Carbon Monoxide (CO) |
5 minutes |
115,000 |
100 |
Applicable
to both car parks and vehicle tunnels |
Nitrogen Dioxide (NO2) |
5 minutes |
1,800 |
1 |
Ditto |
Sulfur Dioxide (SO2) |
5 minutes |
1,000 |
0.4 |
Applicable
to vehicle tunnels only |
* Concentrations at reference conditions of
298K and 101.325kPa.
3.2.5 Guidance Note on the Best Practicable Means for Cement Works (Concrete Batching Plant) BPM 3/2
This
note lists the minimum requirement for meeting the best practicable means for Cement Works (Concrete Batching Plant).
The guidance note includes: emission limits; fugitive emission control
recommendations; monitoring requirements; commissioning details, and; operation
and maintenance provisions. This guidance note is relevant
because concrete batching plant currently used by the adjacent XRL project
would be handed over to and used by the WKCD Project during the construction
phase.
The project lies on the south-western tip of the Kowloon Peninsula with Victoria Harbour to the west and south of the site and the existing urbanised areas to the north and east. The New Yau Ma Tei Typhoon Shelter (NYMTTS) is adjacent to the site to the north.
Land uses surrounding the project are mainly comprised of residential, commercial and government/institution/community (GIC) use. The WKCD boundary is flanked by primary distributor roads: Austin Road West, running immediately adjacent to the northern edge of the WKCD boundary; Canton Road, running adjacent to the eastern boundary; Lin Cheung Road, perpendicular to the mid-northern boundary, and; the Western Harbour Crossing on the northwest boundary. The Ocean Terminal and China Ferry Terminal are to the south-east of the site.
The site for the proposed development is flat to undulating with a ground level of 5 to 23 mPD, the surrounding terrain is flat.
The PATH (Pollutants in the Atmosphere and
their Transport over Hong Kong) model, a regional air quality prediction model
developed by EPD, is used to predict the meteorology at WKCD. The PATH model is
also used to predict background air quality as a result of various sources in
Hong Kong and the surrounding regions including the Pearl River Delta Economic
Zone (PRDEZ).
Features of the wind profile that are
significant for WKCD are both the wind speed and wind direction. Low wind
speeds are significant for dispersion of non buoyant
area sources, such as odours, as low wind speeds can allow for accumulation of odour
which may be swept off site when the wind speed increases. At high wind speeds,
dust emissions can become significant.
At the WKCD site, winds from the northeast
are frequent in the autumn and winter. Significant sources that lay to the northeast
of the site include Austin Road West and Lin Cheung Road. Easterly winds are
dominant in spring. Kowloon Peninsula lays to the east of the site. During
summer the winds are predominately from the southeast to the southwest. The
major source from the southwest is marine emissions in transit to and from the China
Ferry; the China Ferry and Ocean Terminals, the southern tip of the Kowloon
Peninsula and Victoria Harbour to the southeast of WKCD.
Graph
3.1 shows seasonal windroses for WKCD from PATH data at grid (28, 27). PATH uses
wind data based on meteorology information from 2010.
Graph
3.1: Seasonal windroses for WKCD from 2010 PATH data at grid (28, 27)
The existing and planned representative Air Sensitive Receivers (ASRs) that could be effected by the WKCD Project within 500 m from its site boundary have been identified and are summarised in Table 3.3. The final use of each of the parcels may change in the future; therefore, ASRs have been assessed at a variety of intervals up to the proposed maximum height of the buildings that are currently planned. Receptors are located every four metres from 4 m to 20 m above ground and every 10 metres from 20 m to the maximum height of the proposed building. A bias is generated towards the lower levels as this is where the maximum pollutant concentrations are expected to occur.
A
field study of the selected existing
ASRs external to WKCD was undertaken and the fresh air intake and residential
levels were estimated based on a visual survey. Fresh air intakes for low level
commercial property were assumed to be at podium level or where ventilation
ducts were identified. Residential receptors were assessed every four metres
from the lowest residential level up to 20 metres and then every 10 metres
above that.
All the ASRs as listed in Table 3.3 are subject to air quality impact during the operation phase of WKCD. Construction of the WKCD Project is scheduled to complete in phases from 2013 to 2020 when the majority of the site works and superstructures are expected to be completed. The planned ASRs representing facilities/buildings within the WKCD site that will be completed at the early stage of the Project will be subject to air quality impact due to construction of the facilities/buildings at a later stage. Hence, the years in which the planned ASRs will be subject to the construction phase air quality impacts are detailed in Table 3.3 and shown in Figures 3.1a and 3.1b. Shaded cells in Table 3.3 are indicative of residential ASRs.
Table 3.3: Representative ASRs Identified for
the Assessment
No. |
ASR |
Description |
Horizontal
distance from WKCD site boundary (m) |
Height (mPD) |
Height above ground (m) |
No. of storeys |
Year
subject to construction phase impact |
Notes |
1 |
SRT-1 |
Sorrento – Tower 1 (Existing ASR) |
404 |
24 |
19 |
65 |
2013 – 2020 |
4m above podium |
2 |
SRT-2 |
28 |
23 |
8m above podium |
||||
3 |
SRT-3 |
32 |
27 |
12m above podium |
||||
4 |
SRT-4 |
36 |
31 |
16m above podium |
||||
5 |
SRT-5 |
40 |
35 |
20m above podium |
||||
6 |
SRT-6 |
50 |
45 |
30 m above podium |
||||
7 |
SRT-7 |
60 |
55 |
40 m above podium |
||||
8 |
SRT-8 |
70 |
65 |
50 m above podium |
||||
9 |
SRT-9 |
80 |
75 |
60 m above podium |
||||
10 |
SRT-10 |
90 |
85 |
70 m above podium |
||||
11 |
SRT-11 |
100 |
95 |
80 m above podium |
||||
12 |
SRT-12 |
110 |
105 |
90 m above podium |
||||
13 |
SRT-13 |
120 |
115 |
100 m above podium |
||||
14 |
SRT-14 |
130 |
125 |
110 m above podium |
||||
15 |
SRT-15 |
140 |
135 |
120 m above podium |
||||
16 |
SRT-16 |
150 |
145 |
130 m above podium |
||||
17 |
SRT-17 |
160 |
155 |
140 m above podium |
||||
18 |
SRT-18 |
170 |
165 |
150 m above podium |
||||
19 |
SRT-19 |
180 |
175 |
160 m above podium |
||||
20 |
SRT-20 |
190 |
185 |
170 m above podium |
||||
21 |
SRT-21 |
200 |
195 |
180 m above podium |
||||
22 |
SRT-22 |
210 |
205 |
190 m above podium |
||||
23 |
SRT-23 |
220 |
215 |
200 m above podium |
||||
24 |
SRT-24 |
230 |
225 |
210 m above podium |
||||
25 |
SRT-25 |
240 |
235 |
220 m above podium |
||||
26 |
SRT-26 |
250 |
245 |
230 m above podium |
||||
27 |
SRT-27 |
260 |
255 |
240 m above podium |
||||
28 |
CLS-1 |
The Cullinan – Lunar Sky (Existing ASR) |
194 |
59.8 |
54.8 |
33 |
2013 – 2020 |
lowest possible fresh air intake (1st floor above podium) |
29 |
CLS-2 |
62.6 |
57.6 |
2nd lowest possible fresh air intake (2nd floor above podium) |
||||
30 |
CLS-3 |
127.0 |
122 |
24th floor inlet |
||||
31 |
CLS-4 |
129.8 |
124.8 |
25th floor inlet |
||||
32 |
CLS-5 |
163.4 |
158.4 |
37th floor inlet |
||||
33 |
CLS-6 |
166.2 |
161.2 |
38th floor inlet |
||||
34 |
WF3-1 |
The Waterfront – Tower 3 (Existing ASR) |
158 |
36.2 |
31.2 |
|
2013 – 2020 |
4m above podium |
35 |
WF3-2 |
40.2 |
35.2 |
8m above podium |
||||
36 |
WF3-3 |
44.2 |
39.2 |
12m above podium |
||||
37 |
WF3-4 |
48.2 |
43.2 |
16m above podium |
||||
38 |
WF3-5 |
58.2 |
53.2 |
20m above podium |
||||
39 |
WF3-6 |
68.2 |
63.2 |
30 m above podium |
||||
40 |
WF3-7 |
78.2 |
73.2 |
40 m above podium |
||||
41 |
WF3-8 |
88.2 |
83.2 |
50 m above podium |
||||
42 |
WF3-9 |
98.2 |
93.2 |
60 m above podium |
||||
43 |
WF3-10 |
108.2 |
103.2 |
70 m above podium |
||||
44 |
WF3-11 |
118.2 |
113.2 |
80 m above podium |
||||
45 |
WF3-12 |
128.2 |
123.2 |
90 m above podium |
||||
46 |
WF3-13 |
138.2 |
133.2 |
100 m above podium |
||||
47 |
WF6-1 |
The Waterfront – Tower 6 (Existing ASR) |
309 |
36.1 |
31.1 |
|
2013 – 2020 |
4m above podium |
48 |
WF6-2 |
40.1 |
35.1 |
8m above podium |
||||
49 |
WF6-3 |
44.1 |
39.1 |
12m above podium |
||||
50 |
WF6-4 |
48.1 |
43.1 |
16m above podium |
||||
51 |
WF6-5 |
58.1 |
53.1 |
20m above podium |
||||
52 |
WF6-6 |
68.1 |
63.1 |
30 m above podium |
||||
53 |
WF6-7 |
78.1 |
73.1 |
40 m above podium |
||||
54 |
WF6-8 |
88.1 |
83.1 |
50 m above podium |
||||
55 |
WF6-9 |
98.1 |
93.1 |
60 m above podium |
||||
56 |
WF6-10 |
108.1 |
103.1 |
70 m above podium |
||||
57 |
WF6-11 |
118.1 |
113.1 |
80 m above podium |
||||
58 |
WF6-12 |
128.1 |
123.1 |
90 m above podium |
||||
59 |
WF6-13 |
138.1 |
133.1 |
100 m above podium |
||||
60 |
ICC-1 |
International Commerce Centre(i) (Existing ASR) |
142 |
61.3 |
56.3 |
>100 |
2013 – 2020 |
5th floor inlet |
61 |
ICC-2 |
64.1 |
59.1 |
6th floor inlet |
||||
62 |
ICC-3 |
66.9 |
61.9 |
7th floor inlet |
||||
63 |
ICC-4 |
69.7 |
64.7 |
8th floor inlet |
||||
64 |
ICC-5 |
72.5 |
67.5 |
9th floor inlet |
||||
65 |
ICC-6 |
75.3 |
70.3 |
10th floor inlet |
||||
66 |
ICC-7 |
145.3 |
140.3 |
35th floor inlet |
||||
67 |
ICC-8 |
148.1 |
143.1 |
36th floor inlet |
||||
68 |
ICC-9 |
150.9 |
145.9 |
37th floor inlet |
||||
69 |
ICC-10 |
153.7 |
148.7 |
38th floor inlet |
||||
70 |
ICC-11 |
156.5 |
151.5 |
39th floor inlet |
||||
71 |
ICC-12 |
159.3 |
154.3 |
40th floor inlet |
||||
72 |
ICC-13 |
220.9 |
215.9 |
62nd floor inlet |
||||
73 |
ICC-14 |
223.7 |
218.7 |
63rd floor inlet |
||||
74 |
ICC-15 |
226.5 |
221.5 |
64th floor inlet |
||||
75 |
ICC-16 |
229.3 |
224.3 |
65th floor inlet |
||||
76 |
ICC-17 |
285.3 |
280.3 |
85th floor inlet |
||||
77 |
ICC-18 |
288.1 |
283.1 |
86th floor inlet |
||||
78 |
ICC-19 |
290.9 |
285.9 |
87th floor inlet |
||||
79 |
ICC-20 |
293.7 |
288.7 |
88th floor inlet |
||||
80 |
ICC-21 |
302.1 |
297.1 |
91st floor inlet |
||||
81 |
ICC-22 |
335.7 |
330.7 |
103rd floor inlet |
||||
82 |
HT2-1 |
The HarbourSide – Tower 2 (Existing ASR) |
47 |
30.8 |
25.8 |
63 |
2013 – 2020 |
4m above podium |
83 |
HT2-2 |
34.8 |
29.8 |
8m above podium |
||||
84 |
HT2-3 |
38.8 |
33.8 |
12m above podium |
||||
85 |
HT2-4 |
42.8 |
37.8 |
16m above podium |
||||
86 |
HT2-5 |
46.8 |
41.8 |
20m above podium |
||||
87 |
HT2-6 |
56.8 |
51.8 |
30 m above podium |
||||
88 |
HT2-7 |
66.8 |
61.8 |
40 m above podium |
||||
89 |
HT2-8 |
76.8 |
71.8 |
50 m above podium |
||||
90 |
HT2-9 |
86.8 |
81.8 |
60 m above podium |
||||
91 |
HT2-10 |
96.8 |
91.8 |
70 m above podium |
||||
92 |
HT2-11 |
106.8 |
101.8 |
80 m above podium |
||||
93 |
HT2-12 |
116.8 |
111.8 |
90 m above podium |
||||
94 |
HT2-13 |
126.8 |
121.8 |
100 m above podium |
||||
95 |
HT2-14 |
136.8 |
131.8 |
110 m above podium |
||||
96 |
HT2-15 |
146.8 |
141.8 |
120 m above podium |
||||
97 |
HT2-16 |
156.8 |
151.8 |
130 m above podium |
||||
98 |
HT2-17 |
166.8 |
161.8 |
140 m above podium |
||||
99 |
HT2-18 |
176.8 |
171.8 |
150 m above podium |
||||
100 |
HT2-19 |
186.8 |
181.8 |
160 m above podium |
||||
101 |
HT2-20 |
196.8 |
191.8 |
170 m above podium |
||||
102 |
HT2-21 |
206.8 |
201.8 |
180 m above podium |
||||
103 |
HT2-22 |
216.8 |
211.8 |
190 m above podium |
||||
104 |
HT2-23 |
226.8 |
221.8 |
200 m above podium |
||||
105 |
HT2-24 |
236.8 |
231.8 |
210 m above podium |
||||
106 |
HT2-25 |
246.8 |
241.8 |
220 m above podium |
||||
107 |
HT2-26 |
256.8 |
251.8 |
230 m above podium |
||||
108 |
HT2-27 |
266.8 |
261.8 |
240 m above podium |
||||
109 |
WKTA1-1 |
Topside Developments at West Kowloon Terminus Site
A(ii) (iii) |
31 |
28.0 |
23 |
15 |
2015 – 2020 |
4m above podium |
110 |
WKTA1-2 |
32.0 |
27 |
8m above podium |
||||
111 |
WKTA1-3 |
36.0 |
31 |
12m above podium |
||||
112 |
WKTA1-4 |
40.0 |
35 |
16m above podium |
||||
113 |
WKTA1-5 |
44.0 |
39 |
20m above podium |
||||
114 |
WKTA1-6 |
54.0 |
49 |
30 m above podium |
||||
115 |
WKTA1-7 |
64.0 |
59 |
40 m above podium |
||||
116 |
WKTA1-8 |
74.0 |
69 |
50 m above podium |
||||
117 |
WKTA1-9 |
84.0 |
79 |
60 m above podium |
||||
118 |
WKTA2-1 |
Topside Developments at West Kowloon Terminus Site
A(ii) (iii) |
198 |
28.0 |
23 |
21 |
2015 – 2020 |
4m above podium |
119 |
WKTA2-2 |
32.0 |
27 |
8m above podium |
||||
120 |
WKTA2-3 |
36.0 |
31 |
12m above podium |
||||
121 |
WKTA2-4 |
40.0 |
35 |
16m above podium |
||||
122 |
WKTA2-5 |
44.0 |
39 |
20m above podium |
||||
123 |
WKTA2-6 |
54.0 |
49 |
30 m above podium |
||||
124 |
WKTA2-7 |
64.0 |
59 |
40 m above podium |
||||
125 |
WKTA2-8 |
74.0 |
69 |
50 m above podium |
||||
126 |
WKTA2-9 |
84.0 |
79 |
60 m above podium |
||||
127 |
WKTA2-10 |
94.0 |
89 |
70 m above podium |
||||
128 |
WKTA2-11 |
104.0 |
99 |
80 m above podium |
||||
129 |
WKTA3-1 |
Topside Developments at West Kowloon Terminus Site
A(ii) (iii) |
404 |
28.0 |
23 |
15 |
2015 – 2020 |
4m above podium |
130 |
WKTA3-2 |
32.0 |
27 |
8m above podium |
||||
131 |
WKTA3-3 |
36.0 |
31 |
12m above podium |
||||
132 |
WKTA3-4 |
40.0 |
35 |
16m above podium |
||||
133 |
WKTA3-5 |
44.0 |
39 |
20m above podium |
||||
134 |
WKTA3-6 |
54.0 |
49 |
30 m above podium |
||||
135 |
WKTA3-7 |
64.0 |
59 |
40 m above podium |
||||
136 |
WKTA3-8 |
74.0 |
69 |
50 m above podium |
||||
137 |
WKTA3-9 |
84.0 |
79 |
60 m above podium |
||||
138 |
WKTA4-1 |
Topside Developments at West Kowloon Terminus Site
A(ii) (iii) |
182 |
28.0 |
23 |
25 |
2015 – 2020 |
4m above podium |
139 |
WKTA4-2 |
32.0 |
27 |
8m above podium |
||||
140 |
WKTA4-3 |
36.0 |
31 |
12m above podium |
||||
141 |
WKTA4-4 |
40.0 |
35 |
16m above podium |
||||
142 |
WKTA4-5 |
44.0 |
39 |
20m above podium |
||||
143 |
WKTA4-6 |
54.0 |
49 |
30 m above podium |
||||
144 |
WKTA4-7 |
64.0 |
59 |
40 m above podium |
||||
145 |
WKTA4-8 |
74.0 |
69 |
50 m above podium |
||||
146 |
WKTA4-9 |
84.0 |
79 |
60 m above podium |
||||
147 |
WKTA4-10 |
94.0 |
89 |
70 m above podium |
||||
148 |
WKTA4-11 |
104.0 |
99 |
80 m above podium |
||||
149 |
WKTA4-12 |
114.0 |
109 |
90 m above podium |
||||
150 |
WKTA4-13 |
124.0 |
119 |
100 m above podium |
||||
151 |
AMT-1 |
The Arch – Moon Tower (Existing ASR) |
95 |
42.0 |
37 |
52 |
2013 – 2020 |
4m above podium |
152 |
AMT-2 |
46.0 |
41 |
8m above podium |
||||
153 |
AMT-3 |
50.0 |
45 |
12m above podium |
||||
154 |
AMT-4 |
54.0 |
49 |
16m above podium |
||||
155 |
AMT-5 |
58.0 |
53 |
20m above podium |
||||
156 |
AMT-6 |
68.0 |
63 |
30 m above podium |
||||
157 |
AMT-7 |
78.0 |
73 |
40 m above podium |
||||
158 |
AMT-8 |
88.0 |
83 |
50 m above podium |
||||
159 |
AMT-9 |
98.0 |
93 |
60 m above podium |
||||
160 |
AMT-10 |
108.0 |
103 |
70 m above podium |
||||
161 |
AMT-11 |
118.0 |
113 |
80 m above podium |
||||
162 |
AMT-12 |
128.0 |
123 |
90 m above podium |
||||
163 |
AMT-13 |
138.0 |
133 |
100 m above podium |
||||
164 |
AMT-14 |
148.0 |
143 |
110 m above podium |
||||
165 |
AMT-15 |
158.0 |
153 |
120 m above podium |
||||
166 |
AMT-16 |
168.0 |
163 |
130 m above podium |
||||
167 |
AMT-17 |
178.0 |
173 |
140 m above podium |
||||
168 |
AMT-18 |
188.0 |
183 |
150 m above podium |
||||
169 |
AMT-19 |
198.0 |
193 |
160 m above podium |
||||
170 |
AMT-20 |
208.0 |
203 |
170 m above podium |
||||
171 |
AMT-21 |
218.0 |
213 |
180 m above podium |
||||
172 |
AMT-22 |
228.0 |
223 |
190 m above podium |
||||
173 |
PB1-1 |
Residential Developments at Austin Station(iii) |
326 |
15.8 |
10.8 |
23 |
2015 – 2020 |
4m above podium |
174 |
PB1-2 |
30.1 |
25.1 |
8m above podium |
||||
175 |
PB1-3 |
34.1 |
29.1 |
12m above podium |
||||
176 |
PB1-4 |
38.1 |
33.1 |
16m above podium |
||||
177 |
PB1-5 |
42.1 |
37.1 |
20m above podium |
||||
178 |
PB1-6 |
46.1 |
41.1 |
30 m above podium |
||||
179 |
PB1-7 |
56.1 |
51.1 |
40 m above podium |
||||
180 |
PB1-8 |
66.1 |
61.1 |
50 m above podium |
||||
181 |
PB1-9 |
76.1 |
71.1 |
60 m above podium |
||||
182 |
PB1-10 |
86.1 |
81.1 |
70 m above podium |
||||
183 |
PB1-11 |
96.1 |
91.1 |
80 m above podium |
||||
184 |
PB2-1 |
Residential Developments at Austin Station(iii) |
222 |
15.8 |
10.8 |
21 |
2015 – 2020 |
4m above podium |
185 |
PB2-2 |
30.1 |
25.1 |
8m above podium |
||||
186 |
PB2-3 |
34.1 |
29.1 |
12m above podium |
||||
187 |
PB2-4 |
38.1 |
33.1 |
16m above podium |
||||
188 |
PB2-5 |
42.1 |
37.1 |
20m above podium |
||||
189 |
PB2-6 |
46.1 |
41.1 |
30 m above podium |
||||
190 |
PB2-7 |
56.1 |
51.1 |
40 m above podium |
||||
191 |
PB2-8 |
66.1 |
61.1 |
50 m above podium |
||||
192 |
PB2-9 |
76.1 |
71.1 |
60 m above podium |
||||
193 |
PB2-10 |
86.1 |
81.1 |
70 m above podium |
||||
194 |
PB3-1 |
Residential Developments at Austin Station(iii) |
182 |
30.6 |
25.6 |
26 |
2015 – 2020 |
4m above podium |
195 |
PB3-2 |
34.6 |
29.6 |
8m above podium |
||||
196 |
PB3-3 |
38.6 |
33.6 |
12m above podium |
||||
197 |
PB3-4 |
42.6 |
37.6 |
16m above podium |
||||
198 |
PB3-5 |
46.6 |
41.6 |
20m above podium |
||||
199 |
PB3-6 |
56.6 |
51.6 |
30 m above podium |
||||
200 |
PB3-7 |
66.6 |
61.6 |
40 m above podium |
||||
201 |
PB3-8 |
76.6 |
71.6 |
50 m above podium |
||||
202 |
PB3-9 |
86.6 |
81.6 |
60 m above podium |
||||
203 |
PB3-10 |
96.6 |
91.6 |
70 m above podium |
||||
204 |
PB4-1 |
Residential Developments at Austin Station(iii) |
39 |
49.5 |
44.5 |
20 |
2015 – 2020 |
4m above podium |
205 |
PB4-2 |
53.5 |
48.5 |
8m above podium |
||||
206 |
PB4-3 |
57.5 |
52.5 |
12m above podium |
||||
207 |
PB4-4 |
61.5 |
56.5 |
16m above podium |
||||
208 |
PB4-5 |
65.5 |
60.5 |
20m above podium |
||||
209 |
PB4-6 |
75.5 |
70.5 |
30 m above podium |
||||
210 |
PB4-7 |
85.5 |
80.5 |
40 m above podium |
||||
211 |
PB4-8 |
95.5 |
90.5 |
50 m above podium |
||||
212 |
PB4-9 |
105.5 |
100.5 |
60 m above podium |
||||
213 |
PB4-10 |
115.5 |
110.5 |
70 m above podium |
||||
214 |
WOB-1 |
Wai On Building – Block A (Existing ASR) |
47 |
11.8 |
6.8 |
16 |
2013 – 2020 |
4m above podium |
215 |
WOB-2 |
15.8 |
10.8 |
8m above podium |
||||
216 |
WOB-3 |
19.8 |
14.8 |
12m above podium |
||||
217 |
WOB-4 |
23.8 |
18.8 |
16m above podium |
||||
218 |
WOB-5 |
27.8 |
22.8 |
20m above podium |
||||
219 |
WOB-6 |
37.8 |
32.8 |
30 m above podium |
||||
220 |
WOB-7 |
47.8 |
42.8 |
40 m above podium |
||||
221 |
WOB-8 |
57.8 |
52.8 |
50 m above podium |
||||
222 |
VT1-1 |
The Victoria Towers – Tower 1 (Existing ASR) |
31 |
49.3 |
44.3 |
52 |
2013 – 2020 |
4m above podium |
223 |
VT1-2 |
53.3 |
48.3 |
8m above podium |
||||
224 |
VT1-3 |
57.3 |
52.3 |
12m above podium |
||||
225 |
VT1-4 |
61.3 |
56.3 |
16m above podium |
||||
226 |
VT1-5 |
65.3 |
60.3 |
20m above podium |
||||
227 |
VT1-6 |
75.3 |
70.3 |
30 m above podium |
||||
228 |
VT1-7 |
85.3 |
80.3 |
40 m above podium |
||||
229 |
VT1-8 |
95.3 |
90.3 |
50 m above podium |
||||
230 |
VT1-9 |
105.3 |
100.3 |
60 m above podium |
||||
231 |
VT1-10 |
115.3 |
110.3 |
70 m above podium |
||||
232 |
VT1-11 |
125.3 |
120.3 |
80 m above podium |
||||
233 |
VT1-12 |
135.3 |
130.3 |
90 m above podium |
||||
234 |
VT1-13 |
145.3 |
140.3 |
100 m above podium |
||||
235 |
VT1-14 |
155.3 |
150.3 |
110 m above podium |
||||
236 |
VT1-15 |
165.3 |
160.3 |
120 m above podium |
||||
237 |
VT1-16 |
175.3 |
170.3 |
130 m above podium |
||||
238 |
VT1-17 |
185.3 |
180.3 |
140 m above podium |
||||
239 |
VT1-18 |
195.3 |
190.3 |
150 m above podium |
||||
240 |
VT1-19 |
205.3 |
200.3 |
160 m above podium |
||||
241 |
VT1-20 |
215.3 |
210.3 |
170 m above podium |
||||
242 |
VT1-21 |
225.3 |
220.3 |
180 m above podium |
||||
243 |
VT1-22 |
235.3 |
230.3 |
190 m above podium |
||||
244 |
VT1-23 |
|
|
13.0 |
8 |
|
|
Fresh Air Intake |
245 |
LCS-1 |
Lai Chak Middle School (Existing ASR) |
31 |
11.2 |
6.2 |
7 |
2013 – 2020 |
4m above podium |
246 |
LCS-2 |
15.2 |
10.2 |
8m above podium |
||||
247 |
CHC1-1 |
China HK City
– Tower 3(i) (Existing ASR) |
15 |
23.1 |
18.1 |
11 |
2013 – 2020 |
4m above podium |
248 |
CHC1-2 |
27.1 |
22.1 |
8m above podium |
||||
249 |
CHC1-3 |
31.1 |
26.1 |
12m above podium |
||||
250 |
CHC1-4 |
35.1 |
30.1 |
16m above podium |
||||
251 |
CHC1-5 |
39.1 |
34.1 |
20m above podium |
||||
252 |
CHC1-6 |
49.1 |
44.1 |
30 m above podium |
||||
253 |
CHC2-1 |
China HK City
– Tower 5(i) (Existing ASR) |
7 |
23.1 |
18.1 |
11 |
2013 – 2020 |
4m above podium |
254 |
CHC2-2 |
27.1 |
22.1 |
8m above podium |
||||
255 |
CHC2-3 |
31.1 |
26.1 |
12m above podium |
||||
256 |
CHC2-4 |
35.1 |
30.1 |
16m above podium |
||||
257 |
CHC2-5 |
39.1 |
34.1 |
20m above podium |
||||
258 |
CHC2-6 |
49.1 |
44.1 |
30 m above podium |
||||
259 |
RPH-1 |
The Royal Pacific Hotel(i) (Existing ASR) |
119 |
23.1 |
18.1 |
15 |
2013 – 2020 |
4m above podium |
260 |
RPH-2 |
27.1 |
22.1 |
8m above podium |
||||
261 |
RPH-3 |
31.1 |
26.1 |
12m above podium |
||||
262 |
RPH-4 |
35.1 |
30.1 |
16m above podium |
||||
263 |
RPH-5 |
39.1 |
34.1 |
20m above podium |
||||
264 |
RPH-6 |
49.1 |
44.1 |
30 m above podium |
||||
265 |
PCK-1 |
Pacific Club Kowloon (Existing ASR) |
317 |
24.0 |
19 |
4 |
2013 – 2020 |
4m above podium |
266 |
P01a-1 |
Parcel 01 (Planned ASR from 2015 onwards) |
N/A |
13.4 |
4.0 |
7 |
2015 – 2020 |
See Note (vi) |
267 |
P01a-2 |
17.4 |
8.0 |
|
||||
268 |
P01a-3 |
21.4 |
12.0 |
|
||||
269 |
P01a-4 |
25.4 |
16.0 |
|
||||
270 |
P01a-5 |
29.4 |
20.0 |
|
||||
271 |
P01a-6 |
39.4 |
30.0 |
|
||||
272 |
P01a-7 |
49.4 |
40.0 |
|
||||
273 |
P01b-1 |
Parcel 01 (Planned ASR from 2015 onwards) |
N/A |
13.4 |
4.0 |
7 |
2015 – 2020 |
See Note (vi) |
274 |
P01b-2 |
17.4 |
8.0 |
|
||||
275 |
P01b-3 |
21.4 |
12.0 |
|
||||
276 |
P01b-4 |
25.4 |
16.0 |
|
||||
277 |
P01b-5 |
29.4 |
20.0 |
|
||||
278 |
P01b-6 |
39.4 |
30.0 |
|
||||
279 |
P01b-7 |
49.4 |
40.0 |
|
||||
280 |
P01c-1 |
Parcel 01 (Planned ASR from 2015 onwards) |
|
13.4 |
4.0 |
7 |
2015 – 2020 |
See Note (vi) |
281 |
P01c-2 |
17.4 |
8.0 |
|
||||
282 |
P01c-3 |
21.4 |
12.0 |
|
||||
283 |
P01c-4 |
25.4 |
16.0 |
|
||||
284 |
P01c-5 |
29.4 |
20.0 |
|
||||
285 |
P01c-6 |
39.4 |
30.0 |
|
||||
286 |
P01c-7 |
49.4 |
40.0 |
|
||||
287 |
P01d-1 |
Parcel 01 (Planned ASR from 2015 onwards) |
|
13.4 |
4.0 |
7 |
2015 – 2020 |
See Note (vi) |
288 |
P01d-2 |
17.4 |
8.0 |
|
||||
289 |
P01d-3 |
21.4 |
12.0 |
|
||||
290 |
P01d-4 |
25.4 |
16.0 |
|
||||
291 |
P01d-5 |
29.4 |
20.0 |
|
||||
292 |
P01d-6 |
39.4 |
30.0 |
|
||||
293 |
P01d-7 |
49.4 |
40.0 |
|
||||
294 |
P01e-1 |
Parcel 01 (Planned ASR from 2015 onwards) |
|
49.4 |
40.0 |
7 |
2015 – 2020 |
|
295 |
P02-1 |
Parcel 02 (Planned ASR from 2030 onwards) |
N/A |
13.4 |
4.0 |
15 |
Phase 2
construction, not complete until 2030 |
See Note (vi) |
296 |
P02-2 |
17.4 |
8.0 |
|
||||
297 |
P02-3 |
21.4 |
12.0 |
Lowest residential floor |
||||
298 |
P02-4 |
25.4 |
16.0 |
|
||||
299 |
P02-5 |
29.4 |
20.0 |
|
||||
300 |
P02-6 |
39.4 |
30.0 |
|
||||
301 |
P02-7 |
49.4 |
40.0 |
|
||||
302 |
P02-8 |
59.4 |
50.0 |
|
||||
303 |
P03-1 |
Parcel 03 (Planned ASR from 2030 onwards) |
N/A |
11.2 |
4.0 |
8 |
Phase 2
construction, not complete until 2030 |
|
304 |
P03-2 |
15.2 |
8.0 |
|
||||
305 |
P03-3 |
19.2 |
12.0 |
Lowest residential floor |
||||
306 |
P03-4 |
23.2 |
16.0 |
|
||||
307 |
P03-5 |
27.2 |
20.0 |
|
||||
308 |
P04-1 |
Parcel 04 (Planned ASR from 2030 onwards) |
N/A |
9.0 |
4.0 |
5 |
Phase 2
construction, not complete until 2030 |
See Note (vi) |
309 |
P04-2 |
13.0 |
8.0 |
|
||||
310 |
P04-3 |
17.0 |
12.0 |
|
||||
311 |
P04-4 |
21.0 |
16.0 |
|
||||
312 |
P04-5 |
25.0 |
20.0 |
|
||||
313 |
P04-6 |
35.0 |
30.0 |
|
||||
314 |
P05-1 |
Parcel 05 (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
15 |
2017 – 2020 |
See Note (vi) |
315 |
P05-2 |
17.4 |
8.0 |
|
||||
316 |
P05-3 |
21.4 |
12.0 |
|
||||
317 |
P05-4 |
25.4 |
16.0 |
|
||||
318 |
P05-5 |
29.4 |
20.0 |
|
||||
319 |
P05-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
320 |
P05-7 |
49.4 |
40.0 |
|
||||
321 |
P06-1 |
Parcel 06 Residential (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
14 |
2017 – 2020 |
See Note (vi) |
322 |
P06-2 |
17.4 |
8.0 |
|
||||
323 |
P06-3 |
21.4 |
12.0 |
|
||||
324 |
P06-4 |
25.4 |
16.0 |
|
||||
325 |
P06-5 |
29.4 |
20.0 |
|
||||
326 |
P06-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
327 |
P06-7 |
49.4 |
40.0 |
|
||||
328 |
P07-1 |
Parcel 07 Residential (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
14 |
2017 – 2020 |
See Note (vi) |
329 |
P07-2 |
17.4 |
8.0 |
|
||||
330 |
P07-3 |
21.4 |
12.0 |
|
||||
331 |
P07-4 |
25.4 |
16.0 |
|
||||
332 |
P07-5 |
29.4 |
20.0 |
|
||||
333 |
P07-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
334 |
P07-7 |
49.4 |
40.0 |
|
||||
335 |
P08-1 |
Parcel 08 (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
5 |
2018 – 2020 |
See Note (vi) |
336 |
P08-2 |
17.4 |
8.0 |
|
||||
337 |
P08-3 |
21.4 |
12.0 |
|
||||
338 |
P08-4 |
25.4 |
16.0 |
|
||||
339 |
P08-5 |
29.4 |
20.0 |
|
||||
340 |
P09-1 |
Parcel 09 (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
15 |
2017 – 2020 |
See Note (vi) |
341 |
P09-2 |
17.4 |
8.0 |
|
||||
342 |
P09-3 |
21.4 |
12.0 |
|
||||
343 |
P09-4 |
25.4 |
16.0 |
|
||||
344 |
P09-5 |
29.4 |
20.0 |
|
||||
345 |
P09-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
346 |
P09-7 |
49.4 |
40.0 |
|
||||
347 |
P10-1 |
Parcel 10 Residential (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
15 |
2017 – 2020 |
See Note (vi) |
348 |
P10-2 |
17.4 |
8.0 |
|
||||
349 |
P10-3 |
21.4 |
12.0 |
|
||||
350 |
P10-4 |
25.4 |
16.0 |
|
||||
351 |
P10-5 |
29.4 |
20.0 |
|
||||
352 |
P10-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
353 |
P10-7 |
49.4 |
40.0 |
|
||||
354 |
P10-8 |
59.4 |
50.0 |
|
||||
355 |
P11-1 |
Parcel 11 Residential (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
15 |
2017 – 2020 |
See Note (vi) |
356 |
P11-2 |
17.4 |
8.0 |
|
||||
357 |
P11-3 |
21.4 |
12.0 |
Lowest residential floor |
||||
358 |
P11-4 |
25.4 |
16.0 |
|
||||
359 |
P11-5 |
29.4 |
20.0 |
|
||||
360 |
P11-6 |
39.4 |
30.0 |
|
||||
361 |
P11-7 |
49.4 |
40.0 |
|
||||
362 |
P11-8 |
59.4 |
50.0 |
|
||||
363 |
P12-1 |
Parcel 12 (Planned ASR from beyond 2020) |
N/A |
13.4 |
4.0 |
15 |
Beyond 2020 |
See Note (vi) |
364 |
P12-2 |
17.4 |
8.0 |
|
||||
365 |
P12-3 |
21.4 |
12.0 |
|
||||
366 |
P12-4 |
25.4 |
16.0 |
|
||||
367 |
P12-5 |
29.4 |
20.0 |
|
||||
368 |
P13-1 |
Parcel 13 Residential (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
15 |
2017 – 2020 |
See Note (vi) |
369 |
P13-2 |
17.4 |
8.0 |
|
||||
370 |
P13-3 |
21.4 |
12.0 |
|
||||
371 |
P13-4 |
25.4 |
16.0 |
|
||||
372 |
P13-5 |
29.4 |
20.0 |
|
||||
373 |
P13-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
374 |
P13-7 |
49.4 |
40.0 |
|
||||
375 |
P13-8 |
59.4 |
50.0 |
|
||||
376 |
P14-1 |
Parcel 14 (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
12 |
2017 – 2020 |
See Note (vi) |
377 |
P14-2 |
17.4 |
8.0 |
|
||||
378 |
P14-3 |
21.4 |
12.0 |
|
||||
379 |
P14-4 |
25.4 |
16.0 |
|
||||
380 |
P14-5 |
29.4 |
20.0 |
|
||||
381 |
P14-6 |
39.4 |
30.0 |
|
||||
382 |
P14-7 |
49.4 |
40.0 |
|
||||
383 |
P15-1 |
Parcel 15 (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
12 |
2017 – 2020 |
See Note (vi) |
384 |
P15-2 |
17.4 |
8.0 |
|
||||
385 |
P15-3 |
21.4 |
12.0 |
|
||||
386 |
P15-4 |
25.4 |
16.0 |
|
||||
387 |
P15-5 |
29.4 |
20.0 |
|
||||
388 |
P15-6 |
39.4 |
30.0 |
|
||||
389 |
P15-7 |
49.4 |
40.0 |
|
||||
390 |
P16-1 |
Parcel 16 Retail/ Dining/ Entertainment (v) Residential (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
8 |
2018 – 2020 |
See Note (vi) |
391 |
P16-2 |
17.4 |
8.0 |
|
||||
392 |
P16-3 |
21.4 |
12.0 |
|
||||
393 |
P16-4 |
25.4 |
16.0 |
|
||||
394 |
P16-5 |
29.4 |
20.0 |
|
||||
395 |
P16-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
396 |
P16-7 |
49.4 |
40.0 |
|
||||
397 |
P16-8 |
59.4 |
50.0 |
|
||||
398 |
P17-1 |
Parcel 17 Residential (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
15 |
2018 – 2020 |
See Note (vi) |
399 |
P17-2 |
17.4 |
8.0 |
|
||||
400 |
P17-3 |
21.4 |
12.0 |
|
||||
401 |
P17-4 |
25.4 |
16.0 |
|
||||
402 |
P17-5 |
29.4 |
20.0 |
|
||||
403 |
P17-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
404 |
P17-7 |
49.4 |
40.0 |
|
||||
405 |
P18a-1 |
Parcel 18 (iv) (Planned ASR from 2020 onwards) |
N/A |
13.4 |
4.0 |
8 |
2020 |
See Note (vi) |
406 |
P18a-2 |
17.4 |
8.0 |
|
||||
407 |
P18a-3 |
21.4 |
12.0 |
|
||||
408 |
P18a-4 |
25.4 |
16.0 |
|
||||
409 |
P18a-5 |
29.4 |
20.0 |
|
||||
410 |
P18a-6 |
39.4 |
30.0 |
|
||||
411 |
P18a-7 |
49.4 |
40.0 |
|
||||
412 |
P18b-1 |
Parcel 18 (iv) (Planned ASR from 2020 onwards) |
N/A |
13.4 |
4.0 |
8 |
2020 |
See Note (vi) |
413 |
P18b-2 |
17.4 |
8.0 |
|
||||
414 |
P18b-3 |
21.4 |
12.0 |
|
||||
415 |
P18b-4 |
25.4 |
16.0 |
|
||||
416 |
P18b-5 |
29.4 |
20.0 |
|
||||
417 |
P18b-6 |
39.4 |
30.0 |
|
||||
418 |
P18b-7 |
49.4 |
40.0 |
|
||||
419 |
P18c-1 |
Parcel 18 (iv) (Planned ASR from 2020 onwards) |
N/A |
13.4 |
4.0 |
8 |
2020 |
See Note (vi) |
420 |
P18c-2 |
17.4 |
8.0 |
|
||||
421 |
P18c-3 |
21.4 |
12.0 |
|
||||
422 |
P18c-4 |
25.4 |
16.0 |
|
||||
423 |
P18c-5 |
29.4 |
20.0 |
|
||||
424 |
P18c-6 |
39.4 |
30.0 |
|
||||
425 |
P18c-7 |
49.4 |
40.0 |
|
||||
426 |
P18d-1 |
Parcel 18 (iv) (Planned ASR from 2020 onwards) |
N/A |
13.4 |
4.0 |
8 |
2020 |
See Note (vi) |
427 |
P18d-2 |
17.4 |
8.0 |
|
||||
428 |
P18d-3 |
21.4 |
12.0 |
|
||||
429 |
P18d-4 |
25.4 |
16.0 |
|
||||
430 |
P18d-5 |
29.4 |
20.0 |
|
||||
431 |
P18d-6 |
39.4 |
30.0 |
|
||||
432 |
P18d-7 |
49.4 |
40.0 |
|
||||
433 |
P18e |
Parcel 18 (iv) (Planned ASR from 2030 onwards) |
N/A |
49.4 |
40.0 |
8 |
Phase 2 construction,
not complete until 2030 |
|
434 |
P19-1 |
Parcel 19 + Retail/ Dining/ Entertainment (v) Residential (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
14 |
2018 – 2020 |
See Note (vi) |
435 |
P19-2 |
17.4 |
8.0 |
|
||||
436 |
P19-3 |
21.4 |
12.0 |
|
||||
437 |
P19-4 |
25.4 |
16.0 |
|
||||
438 |
P19-5 |
29.4 |
20.0 |
|
||||
439 |
P19-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
440 |
P19-7 |
49.4 |
40.0 |
|
||||
441 |
P19-8 |
59.4 |
50.0 |
|
||||
442 |
P20-1 |
Parcel 20 + Retail/ Dining/ Entertainment (iv) (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
13 |
2017 – 2020 |
See Note (vi) |
443 |
P20-2 |
17.4 |
8.0 |
|
||||
444 |
P20-3 |
21.4 |
12.0 |
|
||||
445 |
P20-4 |
25.4 |
16.0 |
|
||||
446 |
P20-5 |
29.4 |
20.0 |
|
||||
447 |
P20-6 |
39.4 |
30.0 |
|
||||
448 |
P20-7 |
49.4 |
40.0 |
|
||||
449 |
P20-8 |
59.4 |
50.0 |
|
||||
450 |
P21-1 |
Parcel 21 + Retail/ Dining/ Entertainment (v) Residential (Planned ASR
from 2017 onwards) |
N/A |
13.4 |
4.0 |
13 |
2017 – 2020 |
See Note (vi) |
451 |
P21-2 |
17.4 |
8.0 |
|
||||
452 |
P21-3 |
21.4 |
12.0 |
|
||||
453 |
P21-4 |
25.4 |
16.0 |
|
||||
454 |
P21-5 |
29.4 |
20.0 |
|
||||
455 |
P21-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
456 |
P21-7 |
49.4 |
40.0 |
|
||||
457 |
P22-1 |
Parcel 22 + Retail/ Dining/ Entertainment (v) Residential (Planned ASR
from 2018 onwards) |
N/A |
13.4 |
4.0 |
13 |
2018 – 2020 |
See Note (vi) |
458 |
P22-2 |
17.4 |
8.0 |
|
||||
459 |
P22-3 |
21.4 |
12.0 |
|
||||
460 |
P22-4 |
25.4 |
16.0 |
|
||||
461 |
P22-5 |
29.4 |
20.0 |
Lowest residential floor |
||||
462 |
P22-6 |
39.4 |
30.0 |
|
||||
463 |
P22-7 |
49.4 |
40.0 |
|
||||
464 |
P22-8 |
59.4 |
50.0 |
|
||||
465 |
P23a-1 |
Parcel 23 (Planned ASR from 2020 onwards) |
N/A |
13.4 |
4.0 |
8 |
2020 |
See Note (vi) |
466 |
P23a-2 |
17.4 |
8.0 |
|
||||
467 |
P23a-3 |
21.4 |
12.0 |
|
||||
468 |
P23a-4 |
25.4 |
16.0 |
|
||||
469 |
P23a-5 |
29.4 |
20.0 |
|
||||
470 |
P23a-6 |
39.4 |
30.0 |
|
||||
471 |
P23a-7 |
49.4 |
40.0 |
|
||||
472 |
P23b-1 |
Parcel 23 (Planned ASR from 2020 onwards) |
|
13.4 |
4.0 |
8 |
2020 |
See Note (vi) |
473 |
P23b-2 |
17.4 |
8.0 |
|
||||
474 |
P23b-3 |
21.4 |
12.0 |
|
||||
475 |
P23b-4 |
25.4 |
16.0 |
|
||||
476 |
P23b-5 |
29.4 |
20.0 |
|
||||
477 |
P23b-6 |
39.4 |
30.0 |
|
||||
478 |
P23b-7 |
49.4 |
40.0 |
|
||||
479 |
P23c-1 |
Parcel 23 (Planned ASR from 2020 onwards) |
|
13.4 |
4.0 |
8 |
2020 |
See Note (vi) |
480 |
P23c-2 |
17.4 |
8.0 |
|
||||
481 |
P23c-3 |
21.4 |
12.0 |
|
||||
482 |
P23c-4 |
25.4 |
16.0 |
|
||||
483 |
P23c-5 |
29.4 |
20.0 |
|
||||
484 |
P23c-6 |
39.4 |
30.0 |
|
||||
485 |
P23c-7 |
49.4 |
40.0 |
|
||||
486 |
P23d-1 |
Parcel 23 (Planned ASR from 2020 onwards) |
|
13.4 |
4.0 |
8 |
2020 |
See Note (vi) |
487 |
P23d-2 |
17.4 |
8.0 |
|
||||
488 |
P23d-3 |
21.4 |
12.0 |
|
||||
489 |
P23d-4 |
25.4 |
16.0 |
|
||||
490 |
P23d-5 |
29.4 |
20.0 |
|
||||
491 |
P23d-6 |
39.4 |
30.0 |
|
||||
492 |
P23d-7 |
49.4 |
40.0 |
|
||||
493 |
P23e |
Parcel 23 (Planned ASR from 2020 onwards) |
|
49.4 |
40.0 |
8 |
2020 |
|
494 |
P24-1 |
Parcel 24 + Retail/ Dining/ Entertainment (v) Residential (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
14 |
2018 – 2020 |
See Note (vi) |
495 |
P24-2 |
17.4 |
8.0 |
|
||||
496 |
P24-3 |
21.4 |
12.0 |
|
||||
497 |
P24-4 |
25.4 |
16.0 |
|
||||
498 |
P24-5 |
29.4 |
20.0 |
|
||||
499 |
P24-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
500 |
P24-7 |
49.4 |
40.0 |
|
||||
501 |
P24-8 |
59.4 |
50.0 |
|
||||
502 |
P25-1 |
Parcel 25 (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
1 |
2017 – 2020 |
See Note (vi) |
503 |
P25-2 |
17.4 |
8.0 |
|
||||
504 |
P25-3 |
21.4 |
12.0 |
|
||||
505 |
P25-4 |
25.4 |
16.0 |
|
||||
506 |
P25-5 |
29.4 |
20.0 |
|
||||
507 |
P26-1 |
Parcel 26 + Retail/ Dining/ Entertainment (v) Residential (Planned ASR
from 2018 onwards) |
N/A |
13.4 |
4.0 |
15 |
2018 – 2020 |
See Note (vi) |
508 |
P26-2 |
17.4 |
8.0 |
|
||||
509 |
P26-3 |
21.4 |
12.0 |
|
||||
510 |
P26-4 |
25.4 |
16.0 |
|
||||
511 |
P26-5 |
29.4 |
20.0 |
|
||||
512 |
P26-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
513 |
P26-7 |
49.4 |
40.0 |
|
||||
514 |
P26-8 |
59.4 |
50.0 |
|
||||
515 |
P27-1 |
Parcel 27 + Retail/ Dining/ Entertainment (v) Residential (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
15 |
2018 – 2020 |
See Note (vi) |
516 |
P27-2 |
17.4 |
8.0 |
|
||||
517 |
P27-3 |
21.4 |
12.0 |
|
||||
518 |
P27-4 |
25.4 |
16.0 |
|
||||
519 |
P27-5 |
29.4 |
20.0 |
|
||||
520 |
P27-6 |
39.4 |
30.0 |
|
||||
521 |
P27-7 |
49.4 |
40.0 |
Lowest residential floor |
||||
522 |
P27-8 |
59.4 |
50.0 |
|
||||
523 |
P28-1 |
Parcel 28 + Retail/ Dining/ Entertainment (v) Residential (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
21 |
2018 – 2020 |
See Note (vi) |
524 |
P28-2 |
17.4 |
8.0 |
|
||||
525 |
P28-3 |
21.4 |
12.0 |
|
||||
526 |
P28-4 |
25.4 |
16.0 |
|
||||
527 |
P28-5 |
29.4 |
20.0 |
|
||||
528 |
P28-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
529 |
P28-7 |
49.4 |
40.0 |
|
||||
530 |
P28-8 |
59.4 |
50.0 |
|
||||
531 |
P28-9 |
69.4 |
60.0 |
|
||||
532 |
P28-10 |
79.4 |
70.0 |
|
||||
533 |
P29-1 |
Parcel 29 + Retail/ Dining/ Entertainment (v) Residential (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
23 |
2018 – 2020 |
See Note (vi) |
534 |
P29-2 |
17.4 |
8.0 |
|
||||
535 |
P29-3 |
21.4 |
12.0 |
|
||||
536 |
P29-4 |
25.4 |
16.0 |
|
||||
537 |
P29-5 |
29.4 |
20.0 |
|
||||
538 |
P29-6 |
39.4 |
30.0 |
Lowest residential floor |
||||
539 |
P29-7 |
49.4 |
40.0 |
|
||||
540 |
P29-8 |
59.4 |
50.0 |
|
||||
541 |
P29-9 |
69.4 |
60.0 |
|
||||
542 |
P29-10 |
79.4 |
70.0 |
|
||||
543 |
P30a-1 |
Parcel 30 (Planned ASR from beyond 2020) |
N/A |
13.4 |
4.0 |
6 |
Beyond 2020 |
See Note (vi) |
544 |
P30a-2 |
17.4 |
8.0 |
|
||||
545 |
P30a-3 |
21.4 |
12.0 |
|
||||
546 |
P30a-4 |
25.4 |
16.0 |
|
||||
547 |
P30a-5 |
29.4 |
20.0 |
|
||||
548 |
P30b-1 |
Parcel 30 (Planned ASR from beyond 2020) |
|
13.4 |
4.0 |
6 |
Beyond 2020 |
See Note (vi) |
549 |
P30b-2 |
17.4 |
8.0 |
|
||||
550 |
P30b-3 |
21.4 |
12.0 |
|
||||
551 |
P30b-4 |
25.4 |
16.0 |
|
||||
552 |
P30b-5 |
29.4 |
20.0 |
|
||||
553 |
P30c-1 |
Parcel 30 (Planned ASR from beyond 2020) |
|
13.4 |
4.0 |
6 |
Beyond 2020 |
See Note (vi) |
554 |
P30c-2 |
17.4 |
8.0 |
|
||||
555 |
P30c-3 |
21.4 |
12.0 |
|
||||
556 |
P30c-4 |
25.4 |
16.0 |
|
||||
557 |
P30c-5 |
29.4 |
20.0 |
|
||||
558 |
P30d-1 |
Parcel 30 (Planned ASR from beyond 2020) |
|
13.4 |
4.0 |
6 |
Beyond 2020 |
See Note (vi) |
559 |
P30d-2 |
17.4 |
8.0 |
|
||||
560 |
P30d-3 |
21.4 |
12.0 |
|
||||
561 |
P30d-4 |
25.4 |
16.0 |
|
||||
562 |
P30d-5 |
29.4 |
20.0 |
|
||||
563 |
P30e |
Parcel 30 (Planned ASR from beyond 2020) |
|
29.4 |
20.0 |
6 |
Beyond 2020 |
|
564 |
P31-1 |
Parcel 31 Office(iv) (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
22 |
2018 – 2020 |
See Note (vi) |
565 |
P31-2 |
17.4 |
8.0 |
|
||||
566 |
P31-3 |
21.4 |
12.0 |
|
||||
567 |
P31-4 |
25.4 |
16.0 |
|
||||
568 |
P31-5 |
29.4 |
20.0 |
|
||||
569 |
P31-6 |
39.4 |
30.0 |
|
||||
570 |
P31-7 |
49.4 |
40.0 |
|
||||
571 |
P31-8 |
59.4 |
50.0 |
|
||||
572 |
P31-9 |
69.4 |
60.0 |
|
||||
573 |
P31-10 |
79.4 |
70.0 |
|
||||
574 |
P31-11 |
89.4 |
80.0 |
|
||||
575 |
P32-1 |
Parcel 32 Residential (Planned ASR
from 2018 onwards) |
N/A |
13.4 |
4.0 |
15 |
2018 – 2020 |
See Note (vi) |
576 |
P32-2 |
17.4 |
8.0 |
|
||||
577 |
P32-3 |
21.4 |
12.0 |
Lowest residential floor |
||||
578 |
P32-4 |
25.4 |
16.0 |
|
||||
579 |
P32-5 |
29.4 |
20.0 |
|
||||
580 |
P32-6 |
39.4 |
30.0 |
|
||||
581 |
P32-7 |
49.4 |
40.0 |
|
||||
582 |
P34-1 |
Parcel 34 + Planned Performance Art Venues within WKCD (iv) (Planned ASR
from 2018 onwards) |
N/A |
13.4 |
4.0 |
21 |
2018 – 2020 |
See Note (vi) |
583 |
P34-2 |
17.4 |
8.0 |
|
||||
584 |
P34-3 |
21.4 |
12.0 |
|
||||
585 |
P34-4 |
25.4 |
16.0 |
|
||||
586 |
P34-5 |
29.4 |
20.0 |
|
||||
587 |
P34-6 |
39.4 |
30.0 |
|
||||
588 |
P34-7 |
49.4 |
40.0 |
|
||||
589 |
P34-8 |
59.4 |
50.0 |
|
||||
590 |
P34-9 |
69.4 |
60.0 |
|
||||
591 |
P34-10 |
79.4 |
70.0 |
|
||||
592 |
P35a-1 |
Parcel 35 (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
7 |
2017 – 2020 |
See Note (vi) |
593 |
P35a-2 |
17.4 |
8.0 |
|
||||
594 |
P35a-3 |
21.4 |
12.0 |
|
||||
595 |
P35a-4 |
25.4 |
16.0 |
|
||||
596 |
P35a-5 |
29.4 |
20.0 |
|
||||
597 |
P35b-1 |
Parcel 35 (Planned ASR from 2017 onwards) |
|
13.4 |
4.0 |
7 |
2017 – 2020 |
See Note (vi) |
598 |
P35b-2 |
17.4 |
8.0 |
|
||||
599 |
P35b-3 |
21.4 |
12.0 |
|
||||
600 |
P35b-4 |
25.4 |
16.0 |
|
||||
601 |
P35b-5 |
29.4 |
20.0 |
|
||||
602 |
P35c-1 |
Parcel 35 (Planned ASR from 2017 onwards) |
|
13.4 |
4.0 |
7 |
2017 – 2020 |
See Note (vi) |
603 |
P35c-2 |
17.4 |
8.0 |
|
||||
604 |
P35c-3 |
21.4 |
12.0 |
|
||||
605 |
P35c-4 |
25.4 |
16.0 |
|
||||
606 |
P35c-5 |
29.4 |
20.0 |
|
||||
607 |
P35d-1 |
Parcel 35 (Planned ASR from 2017 onwards) |
|
13.4 |
4.0 |
7 |
2017 – 2020 |
See Note (vi) |
608 |
P35d-2 |
17.4 |
8.0 |
|
||||
609 |
P35d-3 |
21.4 |
12.0 |
|
||||
610 |
P35d-4 |
25.4 |
16.0 |
|
||||
611 |
P35d-5 |
29.4 |
20.0 |
|
||||
612 |
P35e-1 |
Parcel 35 (Planned ASR from 2017 onwards) |
|
29.4 |
20.0 |
7 |
2017 – 2020 |
|
613 |
P36-1 |
Parcel 36 (Planned ASR from 2018 onwards) |
N/A |
11.4 |
4.0 |
15 |
2018 – 2020 |
See Note (vi) |
614 |
P36-2 |
15.4 |
8.0 |
|
||||
615 |
P36-3 |
19.4 |
12.0 |
|
||||
616 |
P36-4 |
23.4 |
16.0 |
|
||||
617 |
P36-5 |
27.4 |
20.0 |
|
||||
618 |
P36-6 |
37.4 |
30.0 |
|
||||
619 |
P36-7 |
47.4 |
40.0 |
|
||||
620 |
P36-8 |
57.4 |
50.0 |
|
||||
621 |
P36-9 |
67.4 |
60.0 |
|
||||
622 |
P36-10 |
77.4 |
70.0 |
|
||||
623 |
P37-1 |
Parcel 37 (Planned ASR from 2017 onwards) |
N/A |
11.4 |
4.0 |
15 |
2017 – 2020 |
See Note (vi) |
624 |
P37-2 |
15.4 |
8.0 |
|
||||
625 |
P37-3 |
19.4 |
12.0 |
|
||||
626 |
P37-4 |
23.4 |
16.0 |
|
||||
627 |
P37-5 |
27.4 |
20.0 |
|
||||
628 |
P37-6 |
37.4 |
30.0 |
|
||||
629 |
P37-7 |
47.4 |
40.0 |
|
||||
630 |
P37-8 |
57.4 |
50.0 |
|
||||
631 |
P37-9 |
67.4 |
60.0 |
|
||||
632 |
P37-10 |
77.4 |
70.0 |
|
||||
633 |
P38-1 |
Parcel 38 Planned Performance Art Venues within WKCD (iv) (Planned ASR from 2017 onwards) |
N/A |
13.4 |
4.0 |
21 |
2017 – 2020 |
See Note (vi) |
634 |
P38-2 |
17.4 |
8.0 |
|
||||
635 |
P38-3 |
21.4 |
12.0 |
|
||||
636 |
P38-4 |
25.4 |
16.0 |
|
||||
637 |
P38-5 |
29.4 |
20.0 |
|
||||
638 |
P38-6 |
39.4 |
30.0 |
|
||||
639 |
P38-7 |
49.4 |
40.0 |
|
||||
640 |
P38-8 |
59.4 |
50.0 |
|
||||
641 |
P38-9 |
69.4 |
60.0 |
|
||||
642 |
P38-10 |
79.4 |
70.0 |
|
||||
643 |
P39-1 |
Parcel 39 Planned Performance Art Venues within WKCD (iv) (Planned ASR from 2020 onwards) |
N/A |
13.4 |
4.0 |
11 |
2020 |
See Note (vi) |
644 |
P39-2 |
17.4 |
8.0 |
|
||||
645 |
P39-3 |
21.4 |
12.0 |
|
||||
646 |
P39-4 |
25.4 |
16.0 |
|
||||
647 |
P39-5 |
29.4 |
20.0 |
|
||||
648 |
P39-6 |
39.4 |
30.0 |
|
||||
649 |
P39-7 |
49.4 |
40.0 |
|
||||
650 |
P39-8 |
59.4 |
50.0 |
|
||||
651 |
P39-9 |
69.4 |
60.0 |
|
||||
652 |
P39-10 |
79.4 |
70.0 |
|
||||
653 |
P40a-1 |
Parcel 40 (Planned ASR from 2018 onwards) |
N/A |
13.4 |
4.0 |
6 |
2018 – 2020 |
See Note (vi) |
654 |
P40a-2 |
17.4 |
8.0 |
|
||||
655 |
P40a-3 |
21.4 |
12.0 |
|
||||
656 |
P40a-4 |
25.4 |
16.0 |
|
||||
657 |
P40a-5 |
29.4 |
20.0 |
|
||||
658 |
P40a-6 |
39.4 |
30.0 |
|
||||
659 |
P40a-7 |
49.4 |
40.0 |
|
||||
660 |
P40b-1 |
Parcel 40 (Planned ASR from 2018 onwards) |
|
13.4 |
4.0 |
6 |
2018 – 2020 |
See Note (vi) |
661 |
P40b-2 |
17.4 |
8.0 |
|
||||
662 |
P40b-3 |
21.4 |
12.0 |
|
||||
663 |
P40b-4 |
25.4 |
16.0 |
|
||||
664 |
P40b-5 |
29.4 |
20.0 |
|
||||
665 |
P40b-6 |
39.4 |
30.0 |
|
||||
666 |
P40b-7 |
49.4 |
40.0 |
|
||||
667 |
P40c-1 |
Parcel 40 (Planned ASR from 2018 onwards) |
|
13.4 |
4.0 |
6 |
2018 – 2020 |
See Note (vi) |
668 |
P40c-2 |
17.4 |
8.0 |
|
||||
669 |
P40c-3 |
21.4 |
12.0 |
|
||||
670 |
P40c-4 |
25.4 |
16.0 |
|
||||
671 |
P40c-5 |
29.4 |
20.0 |
|
||||
672 |
P40c-6 |
39.4 |
30.0 |
|
||||
673 |
P40c-7 |
49.4 |
40.0 |
|
||||
674 |
P40d-1 |
Parcel 40 (Planned ASR from 2018 onwards) |
|
13.4 |
4.0 |
6 |
2018 – 2020 |
See Note (vi) |
675 |
P40d-2 |
17.4 |
8.0 |
|
||||
676 |
P40d-3 |
21.4 |
12.0 |
|
||||
677 |
P40d-4 |
25.4 |
16.0 |
|
||||
678 |
P40d-5 |
29.4 |
20.0 |
|
||||
679 |
P40d-6 |
39.4 |
30.0 |
|
||||
680 |
P40d-7 |
49.4 |
40.0 |
|
||||
681 |
P40e |
Parcel 40 (Planned ASR from 2018 onwards) |
|
49.4 |
40.0 |
6 |
2018 – 2020 |
|
682 |
P41-1 |
Parcel 41 (Planned ASR from 2030 onwards) |
N/A |
13.4 |
4.0 |
1 |
Phase 2
construction, not complete until 2030 |
See Note (vi) |
683 |
P41-2 |
17.4 |
8.0 |
|
||||
684 |
P41-3 |
21.4 |
12.0 |
|
||||
685 |
P41-4 |
25.4 |
16.0 |
|
||||
686 |
P41-5 |
29.4 |
20.0 |
|
||||
687 |
P43a-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
N/A |
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
688 |
P43a-2 |
20.5 |
8.0 |
|
||||
689 |
P43a-3 |
24.5 |
12.0 |
|
||||
690 |
P43a-4 |
28.5 |
16.0 |
|
||||
691 |
P43b-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
692 |
P43b-2 |
20.5 |
8.0 |
|
||||
693 |
P43b-3 |
24.5 |
12.0 |
|
||||
694 |
P43b-4 |
28.5 |
16.0 |
|
||||
695 |
P43b-5 |
32.5 |
20.0 |
|
||||
696 |
P43c-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
697 |
P43c-2 |
20.5 |
8.0 |
|
||||
698 |
P43c-3 |
24.5 |
12.0 |
|
||||
699 |
P43c-4 |
28.5 |
16.0 |
|
||||
700 |
P43c-5 |
32.5 |
20.0 |
|
||||
701 |
P43d-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
702 |
P43d-2 |
20.5 |
8.0 |
|
||||
703 |
P43d-3 |
24.5 |
12.0 |
|
||||
704 |
P43d-4 |
28.5 |
16.0 |
|
||||
705 |
P43d-5 |
32.5 |
20.0 |
|
||||
706 |
P43d-6 |
42.5 |
30.0 |
|
||||
707 |
P43d-7 |
52.5 |
40.0 |
|
||||
708 |
P43e-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
709 |
P43e-2 |
20.5 |
8.0 |
|
||||
710 |
P43e-3 |
24.5 |
12.0 |
|
||||
711 |
P43e-4 |
28.5 |
16.0 |
|
||||
712 |
P43e-5 |
32.5 |
20.0 |
|
||||
713 |
P43e-6 |
42.5 |
30.0 |
|
||||
714 |
P43e-7 |
52.5 |
40.0 |
|
||||
715 |
P43e-8 |
62.5 |
50.0 |
|
||||
716 |
P43f-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
717 |
P43f-2 |
20.5 |
8.0 |
|
||||
718 |
P43f-3 |
24.5 |
12.0 |
|
||||
719 |
P43f-4 |
28.5 |
16.0 |
|
||||
720 |
P43f-5 |
32.5 |
20.0 |
|
||||
721 |
P43f-6 |
42.5 |
30.0 |
|
||||
722 |
P43f-7 |
52.5 |
40.0 |
|
||||
723 |
P43f-8 |
62.5 |
50.0 |
|
||||
724 |
P43g-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
725 |
P43g-2 |
20.5 |
8.0 |
|
||||
726 |
P43g-3 |
24.5 |
12.0 |
|
||||
727 |
P43g-4 |
28.5 |
16.0 |
|
||||
728 |
P43g-5 |
32.5 |
20.0 |
|
||||
729 |
P43g-6 |
42.5 |
30.0 |
|
||||
730 |
P43g-7 |
52.5 |
40.0 |
|
||||
731 |
P43h-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
732 |
P43h-2 |
20.5 |
8.0 |
|
||||
733 |
P43h-3 |
24.5 |
12.0 |
|
||||
734 |
P43h-4 |
28.5 |
16.0 |
|
||||
735 |
P43h-5 |
32.5 |
20.0 |
|
||||
736 |
P43h-6 |
42.5 |
30.0 |
|
||||
737 |
P43h-7 |
52.5 |
40.0 |
|
||||
738 |
P43i-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
739 |
P43i-2 |
20.5 |
8.0 |
|
||||
740 |
P43i-3 |
24.5 |
12.0 |
|
||||
741 |
P43i-4 |
28.5 |
16.0 |
|
||||
742 |
P43i-5 |
32.5 |
20.0 |
|
||||
743 |
P43i-6 |
42.5 |
30.0 |
|
||||
744 |
P43j-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
745 |
P43j-2 |
20.5 |
8.0 |
|
||||
746 |
P43j-3 |
24.5 |
12.0 |
|
||||
747 |
P43j-4 |
28.5 |
16.0 |
|
||||
748 |
P43j-5 |
32.5 |
20.0 |
|
||||
749 |
P43k-1 |
Parcel 43 (Planned ASR from 2020 onwards) |
|
16.5 |
4.0 |
13 |
2020 |
See Note (vi) |
750 |
P43k-2 |
20.5 |
8.0 |
|
||||
751 |
P43k-3 |
24.5 |
12.0 |
|
||||
752 |
P43k-4 |
28.5 |
16.0 |
|
||||
753 |
P46a-1 |
Parcel 46 (Planned ASR from 2020 onwards) |
N/A |
16.4 |
4.0 |
5 |
2020 |
See Note (vi) |
754 |
P46a-2 |
20.4 |
8.0 |
|
||||
755 |
P46a-3 |
24.4 |
12.0 |
|
||||
755 |
P46a-4 |
28.4 |
16.0 |
|
||||
756 |
P46a-5 |
32.4 |
20.0 |
|
||||
757 |
P46a-6 |
42.4 |
30.0 |
|
||||
758 |
P46b-1 |
Parcel 46 (Planned ASR from 2020 onwards) |
|
16.4 |
4.0 |
5 |
2020 |
See Note (vi) |
759 |
P46b-2 |
20.4 |
8.0 |
|
||||
760 |
P46b-3 |
24.4 |
12.0 |
|
||||
761 |
P46b-4 |
28.4 |
16.0 |
|
||||
762 |
P46b-5 |
32.4 |
20.0 |
|
||||
763 |
P46b-6 |
42.4 |
30.0 |
|
||||
764 |
P46c-1 |
Parcel 46 (Planned ASR from 2020 onwards) |
|
16.4 |
4.0 |
5 |
2020 |
See Note (vi) |
765 |
P46c-2 |
20.4 |
8.0 |
|
||||
766 |
P46c-3 |
24.4 |
12.0 |
|
||||
767 |
P46c-4 |
28.4 |
16.0 |
|
||||
768 |
P46c-5 |
32.4 |
20.0 |
|
||||
769 |
P46c-6 |
42.4 |
30.0 |
|
||||
770 |
P46d-1 |
Parcel 46 (Planned ASR from 2020 onwards) |
|
16.4 |
4.0 |
5 |
2020 |
See Note (vi) |
771 |
P46d-2 |
20.4 |
8.0 |
|
||||
772 |
P46d-3 |
24.4 |
12.0 |
|
||||
773 |
P46d-4 |
28.4 |
16.0 |
|
||||
774 |
P46d-5 |
32.4 |
20.0 |
|
||||
775 |
P46d-6 |
42.4 |
30.0 |
|
||||
776 |
P46e-1 |
Parcel 46 (Planned ASR from 2020 onwards) |
|
42.4 |
30.0 |
5 |
2020 |
|
777 |
P50-1 |
Parcel 50 (Planned ASR from 2020 onwards) |
N/A |
9.0 |
4.0 |
NA |
2020 |
See Note (vi) |
778 |
P50-2 |
13.0 |
8.0 |
|
||||
779 |
P50-3 |
17.0 |
12.0 |
|
||||
780 |
P50-4 |
21.0 |
16.0 |
|
||||
781 |
P50-5 |
25.0 |
20.0 |
|
||||
782 |
P51-1 |
Parcel 51 (Planned ASR from 2016 onwards) |
N/A |
9.0 |
4.0 |
NA |
2016 – 2020 |
See Note (vi) |
783 |
P51-2 |
13.0 |
8.0 |
|
||||
784 |
P51-3 |
17.0 |
12.0 |
|
||||
785 |
P51-4 |
21.0 |
16.0 |
|
||||
786 |
P51-5 |
25.0 |
20.0 |
|
||||
787 |
P52-1 |
Parcel 52 (Planned ASR from 2016 onwards) |
N/A |
9.0 |
4.0 |
2 |
2016 – 2020 |
See Note (vi) |
788 |
P52-2 |
13.0 |
8.0 |
|
||||
789 |
P52-3 |
17.0 |
12.0 |
|
||||
790 |
P52-4 |
21.0 |
16.0 |
|
||||
791 |
P52-5 |
25.0 |
20.0 |
|
||||
792 |
P53-1 |
Parcel 53 (Planned ASR from 2014 onwards) |
N/A |
9.0 |
4.0 |
2 |
2014 – 2020 |
See Note (vi) |
793 |
P53-2 |
13.0 |
8.0 |
|
||||
794 |
P53-3 |
17.0 |
12.0 |
|
||||
795 |
P53-4 |
21.0 |
16.0 |
|
||||
796 |
P53-5 |
25.0 |
20.0 |
|
||||
797 |
P54-1 |
Parcel 54 (Planned ASR from 2017 onwards) |
N/A |
9.0 |
4.0 |
1 |
2017 – 2020 |
See Note (vi) |
798 |
P54-2 |
13.0 |
8.0 |
|
||||
799 |
P54-3 |
17.0 |
12.0 |
|
||||
800 |
P54-4 |
21.0 |
16.0 |
|
||||
801 |
P54-5 |
25.0 |
20.0 |
|
||||
802 |
OP |
Open space (Planned ASR from 2017 onwards) |
N/A |
6.5 |
1.5 |
0 |
2017-2020 |
|
Notes (i) Estimated locations of the fresh air takes
of these developments are taken as the ASRs.
(ii) The locations and no. of storeys of the planned ASRs representing the topside development at West Kowloon Terminus
(WKT) Site A are based on the approved EIA for Hong Kong Section of the Guangzhou – Shenzhen – Hong Kong Express Rail
Link
(XRL).
(iii) According
to the approved EIA for Road
Works at
West Kowloon, these planned ASRs
will be occupied upon completion of construction
of the Road Works at West Kowloon project in 2014.
(iv) The planned ASRs represent the indicative fresh air
intake locations of these planned developments.
(v) Selected assessment height
is the indicative location of fresh air intake at podium level.
(vi) The
planned ASRs at 4m above ground level are assessment points for reference only,
but are not fresh air intake or openable window
locations.
3.4 Identification of Pollution Sources
The WKCD is located on the Kowloon Peninsula
and is surrounded by the sea on two of its four sides. In accordance with the Guidelines in Assessing
the ‘TOTAL’ Air Quality Impacts, WKCD is categorised as an urban area. There
is no EPD general air quality monitoring station located in this area, the
recent five years (2007 –2011) annual average monitoring data recorded at five
of EPD’s general air quality monitoring stations in urban areas is used to
estimate the background TSP concentration. Using this average allows for the
harbour setting of the site to be considered and provides more representative estimation
of the background concentrations than by using any one station only.
With reference to EPD’s Air Quality Annual Report, the EPD’s general air quality monitoring
stations in urban areas that can be considered as an indication of the
background concentration include Central/Western, Kwun
Tong, Sham Shui Po, Tsuen
Wan and Kwai Chung. The average TSP concentration of
all these five monitoring stations is detailed in Table 3.4.
Table 3.4: Average
Background TSP Concentrations from EPD’s Urban Air Monitoring Stations (Year
2007-2011)
Urban Stations |
Distance from WKCD Boundary (km) |
Annual Average TSP Concentration (μg/m3) |
5-year Average Concentration (μg/m3) |
||||
2007 |
2008 |
2009 |
2010 |
2011 |
|||
Tsuen Wan |
8.65 |
79 |
67 |
63 |
63 |
69 |
68.2 |
Kwai Chung |
6.46 |
85 |
79 |
70 |
71 |
71 |
75.2 |
Sham Shui
Po |
2.83 |
79 |
81 |
77 |
76 |
79 |
78.4 |
Kwun Tong |
6.10 |
82 |
72 |
70 |
67 |
74 |
73.0 |
Central /Western |
1.91 |
77 |
78 |
73 |
76 |
78 |
76.4 |
|
|
|
|
|
|
Average |
74.2 |
Note: Monitoring results that exceeded AQO are
shown in bold characters.
Dust monitoring has been undertaken in the vicinity of the proposed West Kowloon Terminus (WKT) from March 2010 to December 2012 inclusive as part of the environmental monitoring and audit (EM&A) works for XRL project. The air monitoring stations considered to be most relevant to WKCD are AM16 and AM17, as both stations are in close proximity to the WKCD site (see Figure 3.2). The annual average TSP concentration during that construction period of WKT has been calculated, as shown in Table 3.5 (see Appendix 3.27 for details).
Table 3.5: Air Quality Monitoring Results for Hong Kong Section of Guangzhou-Shenzhen-Hong Kong Express Rail Link relevant to WKCD (March 2010 – December 2012)
Monitoring Station |
Location |
Annual Average TSP Concentration (μg/m3) |
3-year Average Concentration (μg/m3) |
||
|
2010(1) |
2011 |
2012 |
||
AM16 |
Tower
3, The Waterfront |
74.2 |
73.4 |
54.3 |
67.1 |
AM17 |
The
Victoria Towers |
74.7 |
79.3 |
55.5 |
69.7 |
|
|
|
|
Average
|
68.4 |
Note: (1) Monitoring
results from March 2010 to December 2010.
As the air quality monitoring stations AM16
and AM17 border the XRL site boundary, it is reasonable to assume that the
average TSP concentration of these two stations can represent XRL
generated dust concentrations plus
prevailing background dust concentrations at the WKCD area. While the 5‑year
average TSP concentration in urban
areas as obtained from EPD’s urban air quality monitoring stations (74.2
µg/m3 from Table
3.4)
is comparable to that from the XRL data (68.4 µg/m3 from Table
3.5),
it is considered that using the XRL monitoring data is a more
reasonable estimate for the WKCD TSP assessment. This is because there is a sufficient amount
of XRL data (about 3 years’ data) and the XRL monitoring stations are in close
proximity to the WKCD site whereas the EPD’s monitoring stations are at much
larger distances (1.91 km to 8.65 km) from the site.
Operational air quality contaminants of significance to the Project area include: SO2, from marine; NO2, from vehicles and marine; and RSP, from vehicles and marine. The 5-year average concentrations for these pollutants are detailed in Table 3.6.
Table 3.6: Average
Background Air Pollutant Concentrations from EPD’s Urban Air Monitoring
Stations (Year 2007-2011)
Pollutant |
Urban Stations and 5-year Average Concentration (μg/m3) |
AQO criteria (μg/m3) |
5-year Average Concentration (μg/m3) |
||||
Tsuen Wan |
Kwai Chung |
Sham Shui Po |
Kwun Tong |
Central/ Western |
|||
Sulfur Dioxide (SO2) |
19.8 |
24.4 |
17.4 |
13.8 |
17.6 |
80 |
18.6 |
Nitrogen Dioxide (NO2) |
63.2 |
64.6 |
68.4 |
60.4 |
52.8 |
80 |
61.9 |
Respirable Suspended Particulate (RSP/PM10) |
51.2 |
50.4 |
51.2 |
48.8 |
49.6 |
55 |
50.2 |
In addition to the urban air quality
monitoring stations, EPD had operated a local air quality monitoring station at
the WKCD site to record background air pollutant concentrations from September
2011 to August 2012. Although the monitoring data is only for a single year,
the recorded information is useful as a direct indication of the onsite air
quality. Table 3.7
shows the background air quality data for the WKCD
site for 2011-2012 (see details in Appendix 3.20).
Table 3.7: Average
Background Air Pollutant Concentrations from EPD’s Local Monitoring Station at
WKCD Site (September 2011 – August 2012)
Pollutant |
Annual Average Concentration (μg/m3) |
AQO criteria (μg/m3) |
Sulfur Dioxide (SO2) |
11.4 |
80 |
Nitrogen Dioxide (NO2) |
46.7 |
80 |
Respirable Suspended Particulate (RSP/PM10) |
45.0 |
55 |
By comparing the EPD’s onsite monitoring results at WKCD with the 5-year average from
the urban monitoring stations, it can be seen that the onsite monitoring results
are significantly lower – approximately 39% lower for SO2, 25% lower
for NO2, and 10% lower for RSP.
The future background air pollutant concentrations
to be used for predicting the total air quality impact due to operational phase
for NO2, RSP and SO2 are as extracted from the PATH model
(for year 2015) released by EPD in December 2012.
The New Yau Ma Tei Typhoon Shelter (NYMTTS) is located adjacent to the
north of the WKCD site. Due to its proximity, any odour emissions from NYMTTS
could potentially affect the future development of WKCD. Based on the
information provided by EPD,
the number of odour complaints against NYMTTS received by EPD from 2006 to 2013 are as summarised in Table
3.8.
Table 3.8: Number of Odour Complaints against NYMTTS Received by EPD (2006-2013)
Year |
No. of Odour Complaints against NYMTTS |
2006 |
1 |
2007 |
3 |
2008 |
Nil |
2009 |
Nil |
2010 |
2 (not including a complaint against suspected malodour from ships) |
2011 |
Nil |
2012 |
Nil |
2013 (till 28
April 2013) |
Nil |
The locations where the above complaints were lodged are as shown in Figure 1 in Appendix 3.26a. It can be seen from the above that:
· There were only one to three odour complaints against NYMTTS per year in 2006, 2007 and 2010, and none in 2008, 2009, 2011, 2012 and 2013 (up to April 2013).
· The few complaints were lodged from residents located on the north end of NYMTTS; these locations are over 1,500 m from the WKCD site boundary. In other words, no complaints were received from occupants within the 500 m assessment area of the WKCD site in the past seven years.
An odour patrol along the watercourse boundary of the NYMTTS was carried out in March 2011 to identify any malodour. The odour patrol route and the patrol results are documented in Appendix 3.26a. According to the odour patrol, malodour was only detected surrounding the northern portion of the boundary of NYMTTS, i.e., along the route from P2 to P3 in Figure 1 in Appendix 3.26a whereas no malodour was detected along the patrol route from P1 to P2.
Construction
of the WKCD facilities will be carried out in phases, with construction of
Phase 1 aimed at commencement in 2013 for completion in 2020 (see Appendix 2.4 for the tentative construction
programme). During construction, the major activities that would
generate construction dust emissions include the following:
· Excavation activities;
· Foundation works;
· Concrete batching plant and barging points (assumed to be handed over from the XRL project to WKCD);
· Site Formation, and;
· Movement of mobile plant and vehicles on haul roads.
Based on a review of
the construction methods adopted for the WKCD Project, construction dust will
be potentially generated from the aforementioned land-based construction
activities and is therefore identified as the representative pollutants.
Therefore, it is considered appropriate to adopt total suspended
particulate (TSP) as the key pollutant
during the construction phase. According to the “2011 Hong Kong Emission Inventory Report” published by EPD[1] in March 2013, which is the latest available information at the time of preparing this Report,
the top 3 major sources of RSP include navigation, road transport and public
electricity generation, which collectively accounted for about 72% of the total
RSP emission in 2011 whereas non-combustion sources only constituted about 15%
of the total emission. Since construction dust is only one of the various
non-combustion sources, it is considered that RSP would not be a representative
pollutant of construction dust.
Construction of the critical elements of WKCD is scheduled to begin in 2013. Due to construction of concurrent projects in the vicinity, cumulative impacts are expected. Table 3.9 summarises the concurrent projects that may contribute to cumulative construction dust impacts.
Table 3.9: Summary of concurrent projects during construction phase
Project |
Construction Period |
Possible Cumulative Impact |
Included in Cumulative Impact Assessment |
Hong Kong Section of the Guangzhou – Shenzhen – Hong Kong Express Rail Link (XRL) |
Jan 2010 – 2015 |
Dust emissions from construction of the West Kowloon Terminus and operation of the concrete batching plant and barging points |
Yes |
Road Works at West Kowloon |
2011 – 2014 |
According to the EIA, major dusty construction activities and excavation works are to be completed by March 2012. Minor dust emissions may arise from the remaining road works and movement of mobile plant and vehicles |
No |
Road Improvement Works in West Kowloon Reclamation Development – Phase I |
Late 2013 / early 2014 – end 2015 |
Dust emissions from the roadworks construction and movement of mobile plant and vehicles |
Yes |
Central Kowloon Route |
2015 – end 2020 |
Dust emissions from construction works. |
Yes |
As an updated schedule of construction works for the WKT of the XRL project is not available for 2013-2015, it is not possible to incorporate realistic dust emission sources of WKT into the FDM model for assessment of cumulative impacts. As such, relevant EM&A monitoring data of the XRL project is used to assess the potential cumulative impacts as described Section 3.4.1.
With reference to the dust monitoring results from the two air quality monitoring stations (AM16 and AM17) in the vicinity of the WKCD site from March 2010 to December 2012 inclusive, the average TSP concentration during that construction period of WKT has been calculated, as shown in Appendix 3.27. It is reasonable to assume that the average TSP concentration from these two dust monitoring stations can represent XRL generated dust concentrations plus prevailing background dust concentrations at the WKCD area. The background concentration used for the TSP assessment for WKCD is therefore taken as 68.4 µg/m3 (Table 3.5).
For the Central Kowloon Route (CKR) project, its construction dust impact assessment area overlaps part of the corresponding assessment area for WKCD. Therefore, the relevant TSP modelling results from the published EIA of CKR project have been added to those of the WKCD for ASRs that are within the overlapped portion of both assessment areas in order to assess the cumulative effects.
3.4.3 Operation Phase – Vehicular Emissions
During the operation phase, there will be cumulative air quality impacts on the ASRs due to vehicular emissions from:
· Existing and proposed open roads outside the WKCD area but within the 500 m assessment area;
· Proposed underpasses/landscape decks along the Austin Road West and Lin Cheung Road and the associated top openings under the Road Works at West Kowloon project, which is within the 500 m assessment area;
· Portal of the existing Western Harbour Crossing (WHC) which is in the vicinity of the WKCD site, and;
· Ventilation exhausts and portals serving the planned underground roads within the WKCD area.
It should be noted that all of
the above vehicular emission sources, except the planned underground roads
within WKCD, are due to the current and planned road networks serving the West
Kowloon area. Therefore, it is
anticipated that the WKCD development itself would only have a relatively small
contribution to the total vehicular
emissions in the area. On the contrary,
the WKCD development would be subject to potential air quality impacts that are
largely generated by the existing/planned road traffic in the area.
The air quality inside the WKCD basement where the underground vehicle roads are located should meet the air pollutant standards as recommended by the EPD’s Practice Note on Control of Air Pollution in Vehicle Tunnels (see Table 3.2). Therefore, the basement ventilation system should be properly designed by WKCDA’s consultant/engineer to adequately remove or dilute vehicle emissions and the basement air quality should be monitored to ensure compliance with the relevant air quality standards.
3.4.4 Operation Phase – Marine Traffic Emissions
There are existing marine activities within the 500 m assessment area, which include:
· Fast ferry traffic movements, based on scheduled sailings of up to 170 daily movements (ferry going to is one movement, ferry leaving is a second movement) at the China Ferry Terminal;
· Tugs associated with Derrick lighter barge movements in the NYMTTS;
· Derrick lighter barges operating at the New Yau Ma Tei Public Cargo Working Area (NYPCWA), and;
· Ocean Cruise Ship berthing at the Ocean Terminal.
Although emissions from all the above
current marine activities are not attributable to the WKCD development, the
development itself would be subject to potential air quality impacts caused by
such marine emissions.
Under
the current development of marine traffic planning at the WKCD site, it is intended
that marine services at WKCD will primarily be provided for visitor or leisure
activities. In terms of traffic volume, the support on the need of the possible
piers has been a key outcome from the public consultation in view of general
public's opinions and needs. No precedence case or similar scale of development
as the WKCD has been developed in the Victoria Harbour and therefore no
realistic marine traffic forecast can be developed at this stage of the
Project. However, as the possible piers would only be
used by visitors or for leisure purposes without any planning for routine uses,
it is anticipated that the
marine traffic to be generated at the two possible piers would be insignificant when compared to the
aforementioned existing marine activities. No vessel landing will be included at the optional viewing
platform and for the proposed landing steps of WKCD, and therefore they are being designed as features of the development and will not serve any marine traffic.
3.4.5
Operation Phase – Odour Emissions
3.4.5.1
New Yau Ma Tei Typhoon
Shelter
The
NYMTTS is located adjacent to the north of the WKCD site. Due to its proximity,
any odour emissions from NYMTTS could potentially affect the future development
of WKCD. It should be noted that similar to the
emissions from surrounding marine activities the WKCD development does not
contribute to any odour emissions from NYMTTS. As the first step to identify such potential
odour issues, the historical complaints against the odour from
NYMTTS received by EPD have been reviewed (see Section 3.4.1). In
addition, odour patrols and odour source monitoring were also conducted for NYMTTS,
the results of which are presented in Section
3.6.3.
3.4.5.2
Optional
Waste and Wastewater Facilities
The air quality impacts due to potential
odour emissions from the optional automatic waste collection facility has been
reviewed and assessed in a qualitative manner.
3.4.6
Operation Phase – Industrial Emissions
Chimney survey and desktop study have been
conducted to identify any existing or planned chimneys of industrial operations
within the 500m assessment area. Based
on the survey and desktop study findings, no existing or planned chimneys were
identified within the assessment area.
3.4.7
Operation Phase – Identification of Key Air Pollutants of Concern
As presented in Section 3.2.2, under the APCO, AQOs are stipulated for seven criteria air pollutants, namely, nitrogen dioxide (NO2), sulphur dioxide (SO2), total suspended
particulates (TSP), respirable suspended particulates
(RSP), carbon monoxide (CO), ozone and lead.
As identified in Sections 3.4.3 and 3.4.4,
during the operation phase, the WKCD development would be subject to
potential air quality impacts due to emissions from the road traffic within and in the vicinity
of WKCD as well as the surrounding marine traffic/vessels. Each of the seven criteria pollutants has
been reviewed for its relevance to such major air pollution sources of the
Project as follows.
Nitrogen Dioxide (NO2)
According to the “2011 Hong Kong Emission Inventory Report” published by EPD in March 2013, navigation and road transport
are the top two major sources of nitrogen oxides (NOx) generated in Hong Kong, constituting respectively about 33% and 29% of the total NOx
emission in 2011.
NOx would be transformed to NO2 in
the presence of O3 under sunlight.
As summarised in Table 3.6, the latest 5-year average of the
annual NO2 concentration in the urban areas (i.e., Tsuen
Wan, Kwai Chung, Sham Shui
Po, Kwun Tung and Central/Western) is about 77% of the corresponding AQO. Therefore, NO2 has been identified
as a key air pollutant of the emissions from both road traffic and marine
traffic/vessels, and has been assessed against the relevant AQOs for this
Project.
Respirable Suspended Particulates (RSP)
According to the latest statistics
of “2011 Hong Kong Emission Inventory Report”, navigation and road transport are the top two major sources of RSP in Hong Kong, accounting for respectively about 37% and 19% of the total RSP emissions in 2011.
As summarised in Table 3.6, the latest 5-year average of the
annual RSP concentration in the urban area is about 91% of the corresponding AQO. Therefore, RSP has been identified as a key
air pollutant of the emissions from both road traffic
and marine traffic/ vessels, and has been assessed against the relevant AQOs
for this Project.
Sulphur Dioxide (SO2)
According to the latest statistics
of “2011 Hong Kong Emission Inventory Report”, 54% of total SO2 emission in Hong Kong is attributed to navigation whereas only
below 1% of the total emission is due to road transport. The introduction of ultra
low sulphur diesel for vehicle fleet in 2000 has also helped reducing the
SO2 emission from road transport in Hong Kong. As summarised in Table 3.6, the latest 5-year average of the
annual SO2 concentration in the urban area is about 23% of the corresponding AQO. While
the 5-year average SO2 level appears to be well below the relevant
AQO with a large margin, a number of the future ASRs within WKCD (such as those
at Parcels 02, 03, 10, 11, 13, 15, etc.) are close to the potential marine
traffic emission sources from the ferry/cruise ship terminals. Therefore, SO2 has been identified as a key air pollutant
of the emissions from marine traffic/vessels (but not from road transport), and
has been assessed against the relevant AQOs for this Project.
Ozone
According to the “Air
Quality in Hong Kong 2011” published by EPD[2], ozone is a
major constituent of photochemical smog. It is not a pollutant directly emitted from
man-made sources but formed by photochemical reactions of primary pollutants
such as NOx and volatile organic compounds
(VOCs) under sunlight. As
it takes several hours for these photochemical reactions to take place, ozone recorded in
one place could be attributed to VOC and NOx
emissions from places afar. Hence, ozone
is a regional air pollution problem. In other words, unlike such air pollutants
as NOx, RSP and SO2, ozone is not a pollutant directly attributable to
emissions from nearby marine or road traffic.
As a result, ozone is not identified as a key air pollutant for air
quality impact assessment for this Project, though it is one of the criteria
pollutants under the AQO.
Carbon Monoxide (CO)
According to the latest statistics of “2011 Hong Kong Emission Inventory Report”, road transport and
navigation are the top two major sources of CO emissions
in Hong Kong, contributing
to respectively about 67% and 18% of the total CO emission in
2011. However, based on the “Air Quality in Hong Kong 2012 Preliminary Report” published by EPD[3], the highest 1-hour CO
level and the highest 8-hour CO concentration in Mong
Kok are respectively 3,590 μg/m3 and 2,755 μg/m3, which are only 12% and
28% of the corresponding AQO respectively.
Given that the ambient CO levels are well below the relevant AQO with large margins as
opposed to the other
pollutants such as RSP and NO2, it is considered appropriate to
select RSP and NO2, but not CO, as the key
pollutants for air quality impact
assessment against the AQO for this Project.
Lead
Since leaded petrol was banned in Hong Kong on 1 April 1999, it is no longer considered as
a primary source in Hong Kong. According
to the “Air Quality in Hong Kong 2011” published by EPD, the ambient lead concentrations continued to linger
at very low levels during 2011 as in previous years, and the overall 3-month averages, ranging from 0.02 μg/m3 (in Kwun Tong and Tung Chung) to 0.104 μg/m3 (in Yuen Long), were well below the AQO limit
of 1.5 μg/m3.
Therefore, it is not considered as a key air pollutant for the operation
phase air quality impact assessment.
Identified Key Air Pollutants
Based on the above review results, the
following key air pollutants of concerns are identified for the purpose of air
quality impact assessment during the operation phase of WKCD:
· For road traffic emissions – NO2 and RSP; and
· For marine traffic/vessel emissions – SO2, NO2 and RSP.
3.5 Air Quality Modelling Methodology
3.5.1.1 Introduction
To assess the construction phase through air quality modelling, use of the air quality model Fugitive Dust Model (FDM) was required. In accordance with the EPD’s Guidelines on Choice of Models and Model Parameters, FDM was used to predict the air pollutant concentrations due to fugitive and open dust source impacts, which are shown in Figures 3.3a to k and 3.4a to f. Details of the emission rates from the activities are given in Appendices 3.1 to 3.3.
3.5.1.2 Model Description – FDM
FDM
is a computerised air quality model specifically designed for computing the
concentration and deposition impacts from fugitive dust sources. The model is
generally based on the well-known Gaussian Plume formulation for computing
concentrations, but the model has been specifically adapted to incorporate an
improved gradient transfer deposition algorithm. FDM is one of the air quality
models listed as commonly used for EIA studies by EPD in Guidelines on Choice of Models and Model Parameters.
It should be
noted that FDM and all Gaussian based dispersion models have limited ability to
predict dispersion in the following situations[4]:
§ Causality effects
Gaussian plume models assume pollutant
material is transported in a straight line instantly (like a beam of light) to
receptors that may be several hours or more in transport time away from the
source. The model takes no account for the fact that the wind may only be
blowing at 1 m/s and will have only travelled 3.6 km in the first hour.
This means that Gaussian models cannot account for causality effects, where the
plume may meander across the terrain as the wind speed or direction changes.
This effect is not considered to be significant for the WKCD site as the site
is small.
§ Low wind speeds
Gaussian-plume models ‘break down’ during low wind speed or calm conditions due to the inverse speed dependence of the steady state plume equation. These models usually set a minimum wind speed of 0.5 m/s or 1.0 m/s and ignore or overwrite data below this limit.
§ Straight-line trajectories
Gaussian models will typically overestimate terrain impingement effects during stable conditions because they do not account for turning or rising wind caused by the terrain itself. This effect is not considered to be important for WKCD as the site and surrounding terrain is flat.
§ Spatially uniform meteorological conditions
Gaussian models assume that the atmosphere is uniform across the entire modelling domain, and that transport and dispersion conditions exist unchanged long enough for the material to reach the receptor even if this is several kilometres away. In the atmosphere, truly uniform conditions rarely occur. As the WKCD site and surrounding assessment area is sufficiently small with no significant terrain features, uniform meteorological conditions are considered appropriate.
§ No memory of previous hour’s emissions
In calculating each hour’s ground-level concentrations, Gaussian models have no memory of the contaminants released during the previous hours. This limitation is especially important for the proper simulation of morning inversion break-up, fumigation and diurnal recycling of pollutants.
3.5.1.3 Assumptions and Inputs – FDM
During the construction stage, the study
area will not have many tall buildings. As such, the "Guideline on Air Quality model (revised), EPA - 450/2-78-027R,
July 1986" is used to calculate the roughness length for use in FDM.
The EPD guideline on "Choice of Models and Model Parameters" states: the
selection of rural or urban dispersion coefficients in a specific application
should follow a land use classification procedure. If the land use types
including industrial, commercial and residential uses account for 50% or more
of an area within a 3 km radius from the source, the site is classified as
urban; otherwise it is classified as rural. The surface roughness height is
closely related to the land use characteristics of a study area and associated
with the roughness element height. As a first approximation, the surface
roughness can be estimated as 3 to 10 percent of the
average height of physical structures. Typical values used for urban and new
development areas are 370 cm and 100 cm, respectively.
Within a three kilometre radius of the site 55% is classified as urban and the remaining 45% is sea. As the sea roughness is typically given a value of 0.01 cm and urban is assumed to be 370 cm, an area averaged roughness height of 205 cm is used. This is to take account of the low turbulence over the sea water, and also the very large turbulence generated due to nearby large structures.
Hourly meteorological data for a full year as extracted from the PATH model released by EPD in December 2012 (meteorological data year 2010, grid 28, 27) has been adopted for use in the FDM. The data is considered to be the most up to date data available. PATH data has been observed to have a lower mixing height for some hours, when compared to the measured mixing height. The minimum mixing height recorded by HKO in 2010 is 121.3 m, whereas the PATH minimum mixing height is 40 m. The HKO minimum mixing height of 121.3 m is used to replace any PATH mixing height below this value. This approach is considered appropriate as it will minimise over-estimation due to lower mixing heights and also will minimise under-estimation due to high stacks being excluded in the mixing volume. The PATH data with the above modification is considered to be representative of the site wind data at WKCD.
Prediction of dust emissions is based on emissions factors from the Compilation of Air Pollution Emission Factors (AP-42), 5th
Edition published by the US Environmental Protection Agency (USEPA). The
emission factor for a typical heavy construction activity is 2.69 megagrams (Mg)/hectare/month according to Section 13.2.3.3 of AP-42. The number of working days for a
month and number of working hours per day of the project are anticipated to be 26 days and 12
hours respectively. No construction work is anticipated to be carried out on
Sundays. Based on Table 11.9-4 of AP-42, the emission factor of wind
erosion is 0.85 megagrams (Mg)/hectare/year. The locations of assumed dust sources are
given in Figures 3.3a to 3.3k. The key dust emission factors
adopted in FDM are summarised in Table 3.10.
Table 3.10: Key
Dust Emission Factors Adopted in the Assessment
Activities |
Emission Factors |
Reference |
Heavy construction activities including all above ground and open construction works, excavation and slope cutting works |
2.69 Mg/hectare/month |
Section
13.2.3.3 AP-42, 5th
Edition |
Wind erosion from heavy construction |
0.85 Mg/hectare/year |
Table 11.9-4 AP-42, 5th
Edition |
Paved haul road within concrete batching plant |
Emission
Factor
= k
x (sL) 0.91
x (W) 1.02 g/VKT where k
is particle size multiplier * sL
is road surface silt loading W is average truck weight |
Section 13.2.1 AP-42, 5th
Edition (Jan 2011 edition) |
* The particle size
distribution was made reference to Section 13.2.1(Table 13.2.1-1) of the USEPA
Compilation of Air Pollution Emission Factors (AP-42), 5th Edition (Jan 2011
edition).
For the mitigated scenario, the active construction areas have ground
watering applied once per hour or 12 times per day. This gives rise to dust suppression
of 91.7%, as estimated in Appendix 3.8. The unmitigated scenario does not employ any watering for dust
suppression.
For the concrete batching plant, it is assumed that the plant will be
handed over from the XRL project to the WKCD Project, and therefore the
emissions from the plant will be the same as those given in the approved EIA
for XRL. All assumptions and calculations are extracted from the Specified
Process (SP) License issued to the XRL for the concrete batching plant. The
concrete batching plant and haul roads within the site are modelled as having
operation hours of 12 hours per day, that is, from 7:00 am to 7:00 pm.
No stockpile is modelled as excavated material is anticipated to be transported out of the site immediately after generation. Barging points are assumed to be handed over from the XRL project to the WKCD Project, and therefore the emissions from the plant will be the same as those given in the approved EIA for XRL.
The emission inventory and
calculation of emission factors for the
construction activities are detailed
in Appendices
3.1 to 3.3.
With addition of the average background TSP concentration of two monitoring stations as described in Section 3.4.1, i.e., 68.4 μg/m3, the hourly, daily and annual TSP concentrations at the identified ASRs have been predicted and compared with the hourly, daily and annual average TSP criteria of 500 µg/m3, 260 µg/m3 and 80 µg/m3 respectively.
Construction on the WKCD site is to be
completed in stages; as such the FDM assessment has been completed for each
construction year from 2013 to 2020, when the majority of the site works and
superstructures are expected to be completed.
For
hourly and daily TSP, a tiered modelling approach has been adopted. Tier 1
assumes 100% active area for a given
year is emitting TSP. This Tier 1 scenario (i.e. assuming 100% active
area for the WKCD Project and the concurrent project) is hypothetical and for
screening purposes to identify which
ASRs may be subject to TSP concentrations above the relevant standards. For the purpose of the Tier 1 screening, the
dust mitigation measures, including frequent water spraying, as detailed in Section 3.5.1.3, are taken into account when estimating the
dust emission rates from the construction activities. Details of the Tier 1 dust sources including
their coordinates, dimensions and estimated emission rates are detailed in Appendix 3.4.
Locations of the assumed dust sources for the Tier 1 assessment are shown in Figures 3.3a to 3.3k. The Tier 1 hourly and daily TSP levels at all the ASRs are then
predicted for both scenarios of with and without the dust mitigation measures
in place.
The ASRs identified with hourly or daily TSP non-compliance under Tier 1 screening, where mitigation measures are in place, are selected for the subsequent Tier 2 assessment.
The entire works area is broken into a
number of zones for construction timetabling purposes. Based on the assumed
construction plant inventory of individual zones and planned construction activities
for each year, the percentage active areas for different zones are calculated,
as summarised in Table 3.11.
The maximum percentage active area for each year is taken from all zones and
applied to the entire site.
It is
assumed in the Tier 2 assessment that the maximum percentage active area of the
WKCD site for each zone, and the corresponding active areas of the relevant
concurrent project, would be
located closest to the ASR being assessed. The Tier 2 hourly or daily TSP
levels at each of these ASRs are predicted with the dust mitigation measures in
place.
Under normal circumstances, construction
activities for the proposed Project and the concurrent projects would likely
spread over the whole work sites and zones. As such, the maximum percentage active
area calculated from all zones, applied to the entire WKCD site, and the
corresponding active areas of the relevant concurrent project to be located
closest to a particular ASR at any one time during the Tier 2 assessment is a
conservative approach. Details of the Tier 2 dust sources including their
coordinates, dimensions and estimated emission rates are given in Appendix 3.5.
Locations of the assumed
dust sources for Tier 2 assessment
are shown in Figures
3.4a to 3.4f.
For the assessment
of annual TSP concentrations, the active work area over the entire year would
be less than that for a typical working hour or a typical working day. The
percentage active area averaged over each construction year has been estimated
for each zone as summarised in Table 3.11. The annual
TSP assessment is based on the percentage active areas for individual zones. The
annual TSP levels are predicted at all the ASRs for both scenarios of with and
without the dust mitigation measures in place. Details of the dust sources for
annual TSP assessment including their coordinates, dimensions and estimated
emission rates are given in Appendix 3.6. Locations of assumed dust sources for annual
assessment are shown in Figures 3.3a to 3.3k.
Based on project-specific
information, the percentages of active work
areas for heavy construction activities for hourly, daily and annual TSP
assessment have been estimated and are summarised in Table 3.11. Detailed estimation of the percentages of active work areas are provided in Appendix 3.7.
Table 3.11: Summary of tentative active area calculations for Tier 2 and Annual TSP assessment
Construction Year |
Zone |
Percentage Active Area |
||
Hourly |
Daily |
Annually |
||
2013 |
1 |
47.1% |
47.1% |
18.4% |
|
2a |
0.0% |
0.0% |
0.0% |
|
2b |
17.8% |
17.8% |
6.1% |
|
3 |
21.1% |
21.1% |
3.5% |
|
4 |
0.0% |
0.0% |
0.0% |
|
5 |
0.0% |
0.0% |
0.0% |
|
The Park (A, B, C) |
1.4% |
1.4% |
0.8% |
|
Maximum |
47.1% |
47.1% |
18.4% |
2014 |
1 |
3.7% |
3.7% |
1.3% |
|
2a |
66.1% |
66.1% |
44.6% |
|
2b |
13.4% |
13.4% |
9.0% |
|
3 |
16.1% |
16.1% |
9.6% |
|
4 |
0.0% |
0.0% |
0.0% |
|
5 |
0.0% |
0.0% |
0.0% |
|
The Park (A, B, C) |
9.9% |
9.9% |
9.9% |
|
Maximum |
66.1% |
66.1% |
44.6% |
2015 |
1 |
0.9% |
0.9% |
0.8% |
|
2a |
6.5% |
6.5% |
5.7% |
|
2b |
4.5% |
4.5% |
3.9% |
|
3 |
5.1% |
5.1% |
2.2% |
|
4 |
0.0% |
0.0% |
0.0% |
|
5 |
0.0% |
0.0% |
0.0% |
|
The Park (A, B, C) |
0.3% |
0.3% |
0.3% |
|
Maximum |
6.5% |
6.5% |
5.7% |
2016 |
1 |
0.6% |
0.6% |
0.6% |
|
2a |
1.3% |
1.3% |
0.7% |
|
2b |
0.6% |
0.6% |
0.3% |
|
3 |
0.2% |
0.2% |
0.2% |
|
4 |
22.9% |
22.9% |
16.7% |
|
5 |
0.0% |
0.0% |
0.0% |
|
The Park (A, B, C) |
0.5% |
0.5% |
0.5% |
|
Maximum |
22.9% |
22.9% |
16.7% |
2017 |
1 |
0.0% |
0.0% |
0.0% |
|
2a |
3.2% |
3.2% |
3.2% |
|
2b |
0.7% |
0.7% |
0.7% |
|
3 |
0.2% |
0.2% |
0.2% |
|
4 |
13.0% |
13.0% |
3.7% |
|
5 |
3.1% |
3.1% |
1.8% |
|
The Park (A, B, C) |
2.4% |
2.4% |
1.6% |
|
Maximum |
13.0% |
13.0% |
3.7% |
2018 |
1 |
0.0% |
0.0% |
0.0% |
|
2a |
6.2% |
6.2% |
6.2% |
|
2b |
1.4% |
1.4% |
1.4% |
|
3 |
0.2% |
0.2% |
0.2% |
|
4 |
1.9% |
1.9% |
1.9% |
|
5 |
1.8% |
1.8% |
1.1% |
|
The Park (A, B, C) |
1.5% |
1.5% |
1.5% |
|
Maximum |
6.2% |
6.2% |
6.2% |
2019 |
1 |
0.0% |
0.0% |
0.0% |
|
2a |
0.0% |
0.0% |
0.0% |
|
2b |
1.4% |
1.4% |
1.4% |
|
3 |
0.0% |
0.0% |
0.0% |
|
4 |
1.9% |
1.9% |
1.9% |
|
5 |
0.4% |
0.4% |
0.4% |
|
The Park (A, B, C) |
1.5% |
1.5% |
0.6% |
|
Maximum |
1.9% |
1.9% |
1.9% |
2020 |
1 |
0.0% |
0.0% |
0.0% |
|
2a |
0.0% |
0.0% |
0.0% |
|
2b |
1.4% |
1.4% |
1.2% |
|
3 |
0.0% |
0.0% |
0.0% |
|
4 |
0.8% |
0.8% |
0.3% |
|
5 |
0.4% |
0.4% |
0.2% |
|
The Park (A, B, C) |
0.0% |
0.0% |
0.0% |
|
Maximum |
1.4% |
1.4% |
1.2% |
Note: (a) The Tier 2 assessment for hourly and daily TSP uses the maximum percentage active area for all zones.
(b) The assessment of annual TSP uses zone specific percentage active area.
3.5.2 [MCD1] Operation Phase – Vehicular Emissions
3.5.2.1 Introduction
To assess the operational air
quality, a variety of models were required. In
accordance with the
EPD’s Guidelines
on Choice of Models and Model Parameters, the following air dispersion models have been
employed to predict the cumulative NO2 and RSP levels at the
identified ASRs:
· EMFAC-HK V2.5.1 (I and M) model has been used to determine the fleet average emission factors, for all the planned and existing roads within the 500 m assessment area, including planned underpass roads within WKCD site, and the proposed Central Kowloon Route (CKR). The model has included the effect of Inspection and Maintenance (I/M) program and is applicable for calendar years between 2013 and 2040.
· CALINE4 has been used to predict the air pollutant concentrations due to vehicular emissions from all open road links within the 500 m assessment area, which are as shown in Figures 3.5.1a to 3.5.1y.
· ISCST3 has been used to predict the air pollutant concentrations due to vehicular emissions from the Western Harbour Crossing (WHC) portal (modelled as volume sources); the proposed underpasses/landscape deck portals (modelled as volume sources) and the associated top openings (modelled as area source) under the Road Works at West Kowloon project; as well as from the assumed ventilation serving the planned underground roads within the WKCD site (modelled as volume or point sources). The locations of all such pollution sources are as shown in Figure 3.6.
· Pollutants in the Atmosphere and the Transport over Hong Kong (PATH) has been used to predict the current background air pollution due to sources outside the project boundary. Sources include, but are not limited to: the Pearl River Deltas Economic Zone (PRDEZ); the Hong Kong International Airport; power plants in HKSAR; roads beyond the WKCD, and; marine emissions. Background data predicted by PATH for year 2015 represents the worst case year relevant to the assessment of the Project.
The localised impacts due to the vehicle
emissions within the 500 m assessment area of WKCD have been separately
modelled by the near-field models (CALINE4 and ISCST3) in which the vehicular
emission factors have been calculated from the EMFAC-HKV2.5.1 model.
The cumulative hourly maximum NOx and RSP concentrations are predicted by the
above models by using the corresponding MM5 hourly meteorological data in 2010
as extracted from the PATH model released by EPD in December 2012.
3.5.2.2 Model Description – EMFAC-HKV2.5.1
EMFAC-HKV2.5.1 is an emissions inventory model that calculates emissions inventories for motor vehicles operating on roads in Hong Kong. The model is used for estimating vehicular tailpipe emissions including RSP and NOx. The model can take into account both vehicle technologies and driving conditions. The model follows that of the California Air Resources Boards’ EMFAC model but with modifications to cater for local factors, including the substantial reduction of the smoky vehicle problem in recent years.
3.5.2.3
Assumptions and Inputs – EMFAC-HK
For all the planned and
existing roads
within the 500 m assessment area including
those planned underpass roads within WKCD site and the proposed CKR, the EMFAC-HK V2.5.1 model (I and M), which is
the latest version at the time of preparing this report, has been used to determine the fleet
average emission factors.
The Burden mode, used for calculating area-specific
emission factors, has been selected in the model. Under this mode, the total
emissions of pollutants such as RSP and NOx were
computed for each type of vehicle class based on temperature, relative humidity,
speed corrected emission factors and vehicle activity. Hourly output was
selected.
The
assumptions and input parameters on
modelling of vehicle emission factors are presented in the following
sections. The
traffic data used for the assessment includes the hourly traffic flows of 16
vehicle classes at various road links and the speed fractions of various
vehicle classes in four model
years. The model
years are: 2015 (the year when operation of the Project was originally planned
to commence); intermediate years 2020 and 2025, and 2030 (15 years after
commencement of operation of the Project). According to the recently updated Project
programme (see Appendix 2.4), the planned commencement of operation of the
Project has been changed to 2017.
Despite the change, the EMFAC results as presented in Graph
3.2 show that year 2015 represents the worst case
scenario where the total traffic emission is the highest among all model years
of 2015, 2020, 2025 and 2030. In other
words, the total traffic emission in year 2017 when the Project is planned to
commence operation is anticipated to be lower than that in year 2015. Therefore, use of the emission estimates in
2015 for air quality impact assessment is a conservative approach.
Traffic data is provided by the Traffic Consultant,
and are presented in the following sections.
The traffic forecast data has been submitted
to the Transport
Department (TD) for review. TD has no objection in principle to the traffic
data. The correspondence from TD is provided in Appendix
3.9
for reference. The 24-hour traffic patterns are given in Appendix
3.10.
The emission standards, according to the latest
implementation programme (as of November 2012) have been adopted in EMFAC-HK
V2.5.1 model for vehicles registered in Hong Kong. In this model, the latest
European Union (EU) emission standard, Euro VI, for all vehicle classes can be
applied, with the exception of motorcycles which do not have applicable new EU
emission standards.
Road Grouping
The road links for assessment have been grouped
into five types.
Emission factors for the following five road types have been calculated:
Road Type 1 - Expressway (Design speed limit: 100kph);
Road Type 2 - Trunk Road (Design speed limit: 80kph);
Road Type 3 - Trunk Road (Design speed limit: 50kph);
Road Type 4 - Local Roads (Design speed limit: 50kph), and;
Road Type 5 - Trunk Road (Design speed limit: 70kph).
The five road types are characterised
by continuous and interrupted flow with different design speed limits. It is
assumed that there is continuous traffic flow in Expressway and Trunk Roads
(Road Types 1, 2, 3 & 5), whereas there is interrupted flow in Local Roads
(Road Type 4). The
road type classification of individual road links in the assessment
area are
as shown in Figures
3.5.1a to 3.5.1y.
Road Type 5 is associated with the CKR
and will not be present in 2015 or 2020, but will be present in 2025 and 2030, as
CKR is anticipated to be in operation in 2021.
Vehicles operating on open roads have been
categorised into 16 vehicle classes according to the Guideline on Modelling Vehicle Emission – Appendix I for EMFAC-HK
V2.5.1, and is presented in Table
3.12.
Table 3.12: Vehicle Classification in the EMFAC-HK Model
Index |
Description |
Notation in EMFAC-HK Model |
Fuel Type |
Gross Vehicle Weight |
1 |
Private Cars (PC) |
PC |
ALL |
ALL |
3 |
Taxi |
taxi |
ALL |
ALL |
4 |
Light Goods Vehicles (<=2.5t) |
LGV3 |
ALL |
<=2.5ton |
5 |
Light Goods Vehicles (2.5-3.5t) |
LGV4 |
ALL |
>2.5-3.5ton |
6 |
Light Goods Vehicles (3.5-5.5t) |
LGV6 |
ALL |
>3.5ton |
7 |
Medium & Heavy Goods Vehicles (5.5-15t) |
HGV7 |
ALL |
>5.5ton-15ton |
8 |
Medium & Heavy Goods Vehicles (>=15t) |
HGV8 |
ALL |
>15ton |
11 |
Public Light Buses |
PLB |
ALL |
ALL |
12 |
Private Light Buses (<=3.5t) |
PV4 |
ALL |
<=3.5ton |
13 |
Private Light Buses (>3.5t) |
PV5 |
ALL |
>3.5ton |
14 |
Non-franchised Buses (<6.4t) |
NFB6 |
ALL |
<=6.4ton |
15 |
Non-franchised Buses (6.4-15t) |
NFB7 |
ALL |
>6.4ton – 15ton |
16 |
Non-franchised Buses (>15t) |
NFB8 |
ALL |
<=15ton |
17 |
Single Deck Franchised Buses |
FBSD |
ALL |
ALL |
18 |
Double Deck Franchised Buses |
FBDD |
ALL |
ALL |
19 |
Motor Cycles |
MC |
ALL |
ALL |
Exhaust /
Evaporation Technology Fraction
Vehicle classes are grouped with different
exhaust technology indexes and technology fractions. Each technology group
represent a distinct emission control technologies. The EMFAC-HK
V2.5.1 model has a set of default exhaust technology fractions which best
represents the scheduled implementation of new vehicle emission standards as of
November 2012. As there is no update to the planned emission control measures
since the release of the guideline in November 2012, the default exhaust
technology fractions are considered to be applicable in this assessment.
According to the Guideline on Modelling Vehicle Emissions, the vehicle
population forecast function in EMFAC-HKV2.5.1 used 2010 as the base year.
Natural replacement of vehicles and a set of annual growth rates and survival
rates for different vehicles are assumed for 2011 to 2040. In particular,
vehicles including private cars, motorcycles, and goods vehicles are assumed to
grow by a varying percentage (from 0% - 2.5% annual) during the period whereas
the number of franchised buses, public light buses and taxis are assumed to
have no growth.
There have
been some minor policy change from April 2012 to November 2012. The changes
include moving two diesel taxis (TAXI) to the private car (PC) category and
moving 4 LPG Private light buses (PV4) to the PV5 category. These changes,
however, are considered to be
insignificant and therefore have been excluded from the assessment. The default
populations from the April 2012 population information have been adopted for
the model years (2015, 2020, 2025, and 2030). The vehicle age distributions, in
the base year 2010, are presented in Appendix 3.11 for
reference.
The use of electric vehicles (EVs), which do not
have tailpipe emissions, has been promoted by the government in the recent
years. By April 2012, there were more than 310 EVs in Hong Kong. The
introduction of EVs will have an impact on the future vehicle fleet
composition, although the effect is still unknown. Impacts will vary with
policy in the future and the successful application of EVs as an alternative to
the traditional vehicles. As a conservative approach, this assessment does not
take into account the presence of EVs and any programme on the promotion of
EVs.
Default values and compositions have
been adopted with reference to in the EMFAC-HKV2.5.1 Guideline.
Diurnal Variation of Daily Vehicle Kilometres
Travelled (VKT)
For each vehicle class, the Vehicle Kilometres
Travelled (VKT) of individual hours is calculated by multiplying the hourly
number of vehicles with the length of the corresponding road link (in kilometres).
Diurnal (24-hour) traffic pattern has been provided by Traffic Consultant. The
lengths of individual road links of the connecting road are given in Appendix 3.12. The 24-hour VKT values for all
vehicle classes in each of the model years 2015, 2020, 2025 and 2030 together
with a graphical plot, are provided in Appendix 3.13.
The daily trips were used to estimate
the cold start emissions of the petrol and LPG vehicles only, as is prescribed
by the model. Therefore, trips for vehicles other than petrol or LPG type vehicles
would be assumed to be zero. Different road types have different number of
trips as follows.
Expressway
and Trunk Road (Road Types 1, 2 & 3)
Zero trips are assumed in Expressway
and Trunk Roads since there will be no cold start under normal circumstances.
Local
Road (Road Type 4)
Trip within assessment area
= (Trip within HK/VKT within HK) x VKT within assessment
area
Trip within HK is the
default data of EMFAC-HKV2.5.1 model. VKT within HK is
the VKT of local roads in Hong Kong, which is estimated based on the default VKT
data of EMFAC-HKV2.5.1 model and the relevant data as
published in the Annual Traffic Census 2010 by TD. Details of the trip estimation
are as shown in Appendix
3.14. According to the Mobile Source Group
of EPD, the default VKT and trips in the model are based on EPD’s estimated
data for Hong Kong. VKT within assessment area is calculated as
mentioned above. The trips in each year are provided in Appendix 3.13.
While the number of trips is dependent on vehicle population, no project-specific vehicle population data can be identified for the assessment area according to the Traffic Consultants. However, project-specific VKT has been estimated based on the traffic forecast in the assessment area. Moreover, it can be argued that VKT is related to vehicle population in such a way that a higher vehicle population would generally result in a higher VKT. As a result, it has been proposed to estimate the number of trips in the assessment area on the basis of the project-specific VKT and the assumption that the number of trips per VKT in the assessment area would be similar to the number of trips per VKT in Hong Kong. It is considered that this proposed approach is based on best available data and reasonable assumption. This approach for estimating the number of trips together with the results of estimation has been submitted to TD for review. TD has no objection in principle to the method and the correspondence from TD is provided in Appendix 3.9 for reference.
Hourly Temperature and Relative Humidity Profile
Annual
and monthly hourly average ambient temperature and relative humidity obtained
from the meteorological data as extracted from the 2010
HKO’s King’s Park meteorology station (with
at least 90% valid data) have been
adopted. The 24-hour variations of the annual averages of temperature and
relative humidity are presented graphically in Appendix
3.15.
The
24-hour speed fractions for different road types and individual vehicle classes
are provided by the Traffic Consultant, and are calculated based on the 24-hour
traffic flow in each model year and the volume/capacity ratio of different road
types. For each vehicle class, the VKT of each road link was grouped into
sub-groups with speed bins of 8 km/h (0 - 8 km/h, 8 - 16 km/h, 16 - 24 km/h,
etc.). The speed fraction of each sub-group was derived by the summation of the
total VKT of road link within this sub-group divided by the total VKT of all
road links. The estimated speed fractions provided by the Traffic Consultant
are given in Appendix 3.16.
The maximum speed for Heavy Goods Vehicles, Franchised Buses and
Non-franchised Buses has been restricted to 70 km/h and for Public Light
Buses to 80 km/h.
Predicted Emission Factors by EMFAC-HKV2.5.1 model
To determine the emissions with 15 years after commencement of the Project, emission rates were modelled for years 2015, 2020, 2025 and 2030. Upon modelling with EMFAC-HKV2.5.1, the emissions for each vehicle class at different hours are then divided by the corresponding VKT to obtain 24-hr emission factors in grams/vehicle-kilometre (g/veh-km). The calculations of emission factors for each model year are shown in Appendix 3.17. By comparing the total emissions in different model years as shown in Graph 3.2, year 2015 represents the worst case scenario where the total emission is the highest among all model years. Even with addition of the traffic due to the CKR project after 2020, the worst-case year is still predicted to be 2015. This is because despite the increased traffic volume, the total emissions are expected to decrease as a result of the retirement of older and more polluting vehicles in the fleet, which would be replaced with newer vehicles with lower emissions. Therefore, it is proposed to use the emission factors of this worst case year 2015 for the prediction of air quality impacts due to vehicular emissions in order to arrive at conservative impact assessment results.
Although the planned commencement year of operation
of the Project has been updated from 2015 to 2017, use of the emission factors
in 2015 represents conservative emissions for the assessment. This is because the total traffic emission in
year 2017 is anticipated to be lower than that in year 2015 as illustrated in Graph 3.2.
Graph 3.2: Comparison of RSP and NOx
EMFAC results for 2015, 2020, 2025 and 2030
|
3.5.2.4 Model Description – ISCST3
The Industrial Source Complex – Short Term version 3 (ISCST3) dispersion model was used to model the air pollutant concentrations due to vehicular emissions from the Western Harbour Crossing (WHC) portal (modelled as volume sources); the proposed underpasses/landscape deck portals (modelled as volume sources) and the associated top openings (modelled as area source) under the Road Works at West Kowloon project; as well as from the assumed ventilation serving the planned underground roads within the WKCD site (modelled as point or volume sources).
ISCST3 is a steady state Gaussian plume model which can be used to assess pollutant concentrations from sources associated with an industrial source complex. ISCST3 is one of the models prescribed by the EPD Guidelines on Choice of Models and Model Parameters. ISCST3 is considered an appropriate model to use for this situation as meteorological conditions will not vary greatly over the site, as the site is relatively flat and small and no significant effects are expected due to terrain variations.
It should be noted that ISCST3 and all Gaussian based dispersion models have limited ability to predict dispersion in the situations as described previously in Section 3.5.1.2.
3.5.2.5 Assumptions and Inputs – ISCST3
The operational sources for ISCST3 modelling (shown in Figure 3.6) include:
· Proposed underpasses/landscape decks along the Austin Road West and Lin Cheung Road and the associated top openings under the Road Works at West Kowloon project, which is within the 500 m assessment area;
· Portal of the existing WHC which is in the vicinity of the WKCD site; and
· Ventilation exhausts and portals serving the planned underground roads within the WKCD area.
EMFAC-HKV2.5.1 and the traffic modelling data from the Traffic Consultants were used to generate the inputs for use in ISCST3.
Hourly meteorological data for a full year as extracted from the PATH model released by EPD in December 2012 (meteorological data year 2010, grid 28, 27) has been adopted for use in ISCST3. The data is considered to be the most up to date data available. PATH data has been observed to have a lower mixing height for some hours, when compared to the measured mixing height. The minimum mixing height recorded by HKO in 2010 is 121.3 m, whereas the PATH minimum mixing height is 40 m. The HKO minimum mixing height of 121.3 m is used to replace any PATH mixing height below this value. This approach is considered appropriate as it will minimise over-estimation due to lower mixing heights and also will minimise under-estimation due to high stacks being excluded in the mixing volume. The PATH data with the above modification is considered to be representative of the site wind data at WKCD.
Ventilation
Exhausts/Portals Serving WKCD Basement
The basement will be ventilated through stacks; however the proportion released through stacks and through the portals cannot be determined until a comprehensive ventilation study is carried out during the detailed design phase. Two scenarios were therefore considered for the ventilation of the WKCD basement:
Scenario I – 100% of the vehicle
emissions generated within the basement is ventilated through a series of stack
exhausts and 0% through the basement entry and exit points
Under this Scenario, the
exhausts are assumed to be attached to buildings within the WKCD and were
modelled as 6 m tall point sources with an exit air velocity of
2.0 m/s. The stack diameter was dependant on the ventilation area. The
basement is broken into three areas, namely B1 Road, B1 Loading and B2 Carpark, for the purpose of the ventilation calculations.
The areas are shown in Figures 3.5.1n, 3.5.1r, 3.5.1s and 3.5.1t;
Standard practice is to model
ventilation shafts as point sources. As the final dimensions of the exhaust louvres are yet to be known at this stage, it is considered
appropriate to model the basement ventilation louvres
as stacks. A single stack is used at approximately the horizontal centre of the
proposed louvre area to allow the greatest
flexibility in the final stack location.
The Practice Note ADM-2
recommends MTR ventilation exhausts should be located not closer than 5 m
to any opening such as an openable or fixed window,
doorway, building ventilation system intake or exhaust and the like in any
building irrespective of whether such ventilation shaft is freestanding or is
accommodated in a building. Although there is no such practice note for
underground roads and tunnels, this basis has been used to adopt a minimum
stack height of 6 m. This is considered to give worst case results at the
ground level and allows for flexibility of the final design and the ventilation
to be located at this level.
There are several ventilation
exhausts for the XRL/WKT basement carpark, however
this basement does not include an underground road and therefore does not need
to be considered as a concurrent source.
Scenario II – 100% of the
vehicle emissions generated within the basement is ventilated through the
basement entry and exit points and 0% through a series of stack exhausts
Under this Scenario, the
basement emissions were considered as a total of the three roads (basements
roads A, B and C) as shown in Figures 3.5.1n,
3.5.1r,
3.5.1s
and 3.5.1t.
The detailed design of the basement and its ventilation system is not yet complete;
therefore it has been broadly assumed that the emissions would be evenly
distributed among the three entry/exit points to approximate the scenario. Therefore, one third of the total basement
emissions were assumed to be emitted from the western portal near the western
tunnel, one third through the eastern portal onto Austin Road West and one
third through the northern portal onto Austin Road West.
The basement entry and exit
point are not treated as a standard portal as the traffic does not exit
directly from the portal, that is the vehicles come to a T-intersection at the
entry and exit point for Location A and C as shown in Figure 3.6. The entry and exit points
are modelled as volume sources based on the dimensions of the opening.
Underpasses/landscape decks along the Austin Road West and Lin Cheung
Road and the associated top openings
The portal emissions are the
worst case emissions from portals and other openings of Austin Road West and
Lin Cheung Road. EPD’s Guidelines on
Choice of Models and Model Parameters recommends portals and similar
openings are modelled as volume sources according to the Permanent
International of Road Congresses (PIARC) XIXth World Road Congress Report. To obtain worst case emissions from
each top opening and portal, using the recommended guideline the following
situations were considered:
Scenario 1 - 10% of tunnel
emissions released through short top openings, the remainder released through
the tunnel portal;
Scenario 2 - 20% of tunnel
emissions released through short top openings, the remainder released through
the tunnel portal;
Scenario 3 - 30% of tunnel
emissions released through short top openings, the remainder released through
the tunnel portal, and;
Scenario 4 - Maximum emissions
according to PIARC recommendations (which are dependant
on top opening lengths – 66% of emissions through top opening if the length is
50m and 100% through top opening if the length is 100m), the remainder of
emissions which are not released through the top opening are released through
the tunnel portal.
By
adopting the traffic forecast in the worst case year of 2015, the emission rates for Scenarios
1 to 4, with 100% of the WKCD basement emission through its portals (Scenario
II) are given in Appendix 3.18a – Appendix 3.18d [MCD2] whereas the emission rates for Scenarios 1 to 4, with 100% of the WKCD
basement emissions through its stack exhausts (Scenario I) are given in Appendix 3.18e – Appendix 3.18[MCD3] h.
All scenarios were modelled to determine the worst case effects.
By
adopting the traffic forecast in 2020, the emission rates for the combination
of Scenario I and Scenario 1 are also
estimated, as presented in Appendix 3.19. Based on the comparison of the modeling
results for all eight combinations of Scenarios I & II with Scenarios 1-4
for the worst case year of 2015, the results for different combinations differ
by a small amount (less than 2%) and yet the combination of Scenario I with
Scenario 1 tends to give relatively more conservative results. Therefore, this combination has been used to
estimate the emission rates for year 2020, which are then used to refine the NO2
modelling results for those planned ASRs that will be
in operation from 2020 onwards (see Section
3.6.2).
EMFAC-HKV2.5.1 model results and the traffic
modelling data from the Traffic Consultants were used to generate the inputs for
use in ISCST3.
The portal emissions are modelled according to EPD’s Guidelines on Choice of Models and Model Parameters, which recommends portals and similar openings are modelled as volume sources according to the PIARC XIXth World Road Congress Report. Details of the assumptions are in Appendix 3.18a – Appendix 3.18h and Appendix 3.19.
3.5.2.6 Model Description – CALINE4
CALINE4 is a line source air quality model developed by the California Department of Transportation and is one of the models prescribed by the EPD Guidelines on Choice of Models and Model Parameters. It is based on the Gaussian diffusion equation and employs a mixing zone concept to characterise pollutant dispersion over the roadway.
The purpose of the model is to assess air quality impacts near transportation facilities. Given source strength, meteorology and site geometry, CALINE4 can predict pollutant concentrations for receptors located within 500 m of a given roadway. As with all Gaussian models, CALINE4 has some limitations, as described in Section 3.5.1.2.
3.5.2.7 Assumptions and Inputs – CALINE4
The predicted traffic flows have taken into account the development of the four concurrent projects, namely: Road Works at West Kowloon; Road Improvement Works in West Kowloon Reclamation; the Hong Kong Section of the XRL, and; Central Kowloon Route (CKR). Appendix 3.10 presents details of the 24-hour traffic forecast for different vehicles and individual road links within the 500 m assessment area (see Figures 3.5.1a to 3.5.1y) as provided by the Traffic Consultants.
Hourly meteorological data for a full year as extracted from the PATH model released by EPD in December 2012 (meteorological data year 2010, grid 28, 27) has been adopted for use in CALINE4. The data is considered to be the most up to date data available. PATH data has been observed to have a lower mixing height for some hours, when compared to the measured mixing height. The minimum mixing height recorded by HKO in 2010 is 121.3 m, whereas the PATH minimum mixing height is 40 m. The HKO minimum mixing height of 121.3 m is used to replace any PATH mixing height below this value. This approach is considered appropriate as it will minimise over-estimation due to lower mixing heights and also will minimise under-estimation due to high stacks being excluded in the mixing volume. The PATH data with the above modification is considered to be representative of the site wind data at WKCD. A roughness coefficient of 370cm is used, as the area is considered to be urban.
Based on the worst case emission factors and the 24-hour traffic flow in 2015, the composite fleet emission factors have been calculated for the road links, as detailed in Appendix 3.23.
By adopting the traffic forecast in 2020, the composite fleet emission factors have also been calculated for the road links, as detailed in Appendix 3.24. These emission factors have been used to refine the NO2 modelling results for those planned ASRs that will be in operation from 2020 onwards (see Section 3.6.2).
3.5.3
Operation Phase – Marine Emissions
3.5.3.1
Introduction
To assess the operational air quality from
marine sources ISCST3 was used to predict the cumulative NOx,
RSP and SO2 levels at the identified ASRs in accordance with the EPD’s
Guidelines on Choice of Models and Model
Parameters,
Under the current development of marine
traffic planning at the WKCD site, it is intended that marine services at WKCD
will primarily be provided for visitor or leisure activities. In terms of
traffic volume, the support on the need of the possible piers has been a key
outcome from the public consultation in view of general public's opinions and
needs. No precedence case or similar scale of development as the WKCD has been
developed in the Victoria Harbour and therefore no realistic marine traffic
forecast can be developed at this stage of the Project. However, as the possible piers would only be
used by visitors or for leisure purposes without any planning for routine uses,
it is anticipated that the marine traffic to be generated at the two possible piers
would be insignificant when compared to the existing marine activities. No vessel landing will be included at the
optional viewing platform and for the proposed landing steps of WKCD, and
therefore they are being designed as features of the development and will not
serve any marine traffic.
Marine emissions considered to be important for the assessment are: fast ferry traffic movements, based on scheduled sailings at the China Ferry Terminal; cargo-handling vessel traffic movements along the Yau Ma Tei Fairway at the western edge waterfront of the WKCD site; derrick lighter barges operating at the New Yau Ma Tei Public Cargo Working Area (NYPCWA), and; ocean cruise ship emissions at berth at the Ocean Terminal. As the marine emissions are all from existing marine activities within the surrounding waters and the WKCD development itself does not contribute to any marine traffic emissions, the cumulative SO2 levels due to the various surrounding sources are assessed for the proposed ASRs within the WKCD site only. ISCST3 has been used to predict the air pollutant concentrations due to marine sources. The locations of all such pollution sources are as shown in Figure 3.7. Details of the emissions rates for individual sources are given in Appendix 3.25.
The cumulative hourly maximum NOx, RSP and SO2 concentrations are
predicted by the above models by using the corresponding MM5 hourly
meteorological data in 2010 as extracted from the PATH model released by EPD in
December 2012.
3.5.3.2
Model Description – ISCST3
Gaussian model ISCST3 has been used for modelling potential impacts from the above-mentioned nearby marine emission sources. Refer to Section 3.5.2.4 for model description and limitations.
3.5.3.3
Assumptions and Inputs – ISCST3
Given the lack of realistic marine traffic
forecast for the two possible piers and the insignificant contribution to the
existing marine traffic in the surrounding waters of WKCD (see Section 3.4.4), it is anticipated that the
air quality impact due to potential marine traffic emissions from future operation
of the two possible piers of WKCD would not be significant as compared
to that due to the existing marine traffic level. Hence, the marine traffic emissions due to the
two possible piers of WKCD are not included in the modelling exercise.
The
operational sources for the ISCST3 modelling (shown in Figure 3.7) include:
· Fast ferry traffic movements, based on scheduled sailings, of up to 170 daily movements (ferry going to is one movement, ferry leaving is a second movement) at the China Ferry Terminal;
· Tugs associated with derrick lighter barge movements in the NYMTTS;
· Derrick lighter barges operating at the New Yau Ma Tei Public Cargo Working Area (NYPCWA), and;
· Ocean cruise ship movements at the Ocean Terminal.
Hourly meteorological data for a full year as extracted from the PATH model released by EPD in December 2012 (meteorological data year 2010, grid 28, 27) has been adopted for use in CALINE4. The data is considered to be the most up to date data available. PATH data has been observed to have a lower mixing height for some hours, when compared to the measured mixing height. The minimum mixing height recorded by HKO in 2010 is 121.3 m, whereas the PATH minimum mixing height is 40 m. The HKO minimum mixing height of 121.3 m is used to replace any PATH mixing height below this value. This approach is considered appropriate as it will minimise over-estimation due to lower mixing heights and also will minimise under-estimation due to high stacks being excluded in the mixing volume. The PATH data with the above modification is considered to be representative of the site wind data at WKCD.
New Yau Ma Tei Public Cargo
Working Area (NYPCWA)
The NYPCWA is located on the north-south
shoreline of the NYMTTS to the north of WKCD. The area is mainly used for
loading and unloading cargo using derrick lighter barges. The shoreline is
approximately 1,250 metres long. According to the Merchant Shipping (Local Vessels) (Typhoon Shelters) Regulation –
Chapter 548E the maximum permitted length for local vessels in the typhoon
shelter is 50 metres. For manoeuvring purposes it was assumed that each vessel
would need 5 metres at bow and stern. The maximum number of vessels operating
at any one time was therefore assumed to be the shoreline length divided by
vessel and manoeuvring length, which gives 20 vessels. Although this does not
take into account a larger possible vessel density should smaller barges being
used, it is still considered realistic estimate, as a visual survey identified
a similar number of vessels along the shore front.
The emission rates
were estimated with reference to the USEPA
Non-Road Diesel Standards and USEPA
Current Methodologies in Preparing Mobile Source Port-Related Emission
Inventories (April 2009), hereafter referred to as “USEPA Methodology”. The barges were assumed to have an engine size
of 314.6 kW, which is based on average engine size information from 250 ton
cranes. Based on the maximum
theoretical loading factor of 43% for gantry cranes[5],
a loading factor of 50%, which is considered to be conservative, is assumed for
the barges. A visual survey showed the derrick lighters operate approximately 5
minutes out of every 20 minutes, with an on-off sequence of: rigging – 10
minutes; crane operation – 5 minutes; unrigging – 5 minutes. Therefore all engines
are assumed to be operating at 50% load and for 25% of the operation hours.
Marine diesel engines are assumed to have an
average operating lifetime of 10,000 hours. Derrick lighter barges are assumed
to operate during the same period as the NYPCWA, i.e., 7:00 am to
9:00 pm daily or 14 hours per day (Monday to Saturday), with a time-in
mode of 25%. Based on these assumptions, it can be estimated that the average
life span of the marine engine on a derrick lighter barge is approximately 10
years, which is used to
determine the emission rate for the
engines by making reference to the emission
standards for non-road diesel engines.
This
estimated engine life span is considered to give a conservative emission rate as the average age of engines is likely to
be less
than 10 years. Based on a visual survey, the exhaust height of the derrick lighter
engine is assumed to be 8.7m (approximately the height of three shipping containers).
Details of estimating the engine emission can be found in Appendix 3.25.
Information provided by the marine sub-consultant
estimates 130 small craft movements per day in the NYMTTS (both entering and
leaving). It is assumed that all small craft are tugs and are restricted to the
same operation period as the NYPCWA, that is, 7:00 am to 9:00 pm
daily.
The NOx
emission rates for tugs were estimated by using actual engine data sourced from
maritime sales information. RSP emission rates are based on Harbour Craft
Emission Factors as published in the “USEPA
Methodology”. SO2 emission rates were estimated from the Starcrest Consulting Group, LLC Puget Sound Maritime
Air Emission Inventory (April 2007). The tugs were assumed to have two
696 kW engines (average engine size from maritime sales information). The
RSP emission rates were adjusted according to the Starcrest Consulting Group, LLC Puget Sound Maritime Air Emission Inventory
(April 2007) whereas the SO2 emission rates were adjusted based
on the fuel sulfur content as given in the reference
material, and the actual fuel sulfur content as used
in Hong Kong marine vessels. Detailed information can be found in Appendix 3.25.
Engine loading factor for tugs was assumed
to be 31% as described in the “USEPA
Methodology”. The tug movements were divided evenly among the operating
hours and so for modelling purposes there are nine tug movements per operating
hour of NYPCWA.
As the tugs are moving, the emissions are
modelled as a series of area sources. To allow for variation in the actual vessel
route, a width of 30 m is applied. The average hourly area emission rate
was calculated by the instantaneous emission rate (g/s) multiplied by the time
that it takes for the vessel to move over the length of the route (based on the
reported average speed), and then divided by the total route area and 3600 seconds
(one hour).
The estimated emission rates are summarised
in Table 3.13
and details of the estimation are given in Appendix 3.25.
Table 3.13: Estimated Emission Rates of Barges at NYPCWA
Pollutant |
Vessel type |
Estimated Emission Rates |
NOx |
Barge |
0.0799 g/s for
each barge |
|
Tug |
2.30 x 10-6
g/m2.s for each tug |
RSP |
Barge |
0.0022 g/s for
each barge |
|
Tug |
8.81 x 10-8
g/m2.s for each tug |
SO2 |
Barge |
0.0136 g/s for
each barge |
|
Tug |
6.07 x 10-7
g/m2.s for each tug |
The China
Ferry Terminal is located to the south-east of WKCD. Three main companies
operate at the Terminal, which are: CotaiJet, TurboJet and Chu Kong
Passenger Transport Limited. Sailing timetables were reviewed for each of the
companies and total vessel unloading/loading to the terminal calculated. The
total unloading/loading was from one to 14 vessels per hour, between the hours
of 7:00am and 11:00pm. Outside of these hours there are no scheduled ferry
services and therefore no emissions modelled.
The emission
rates were calculated based on the “Institute
for the Environment, The Hong Kong University of Science & Technology:
Study on Marine Vessels Emission Inventory”, hereafter referred to as the “HK Inventory”. During berthing, it is
assumed that only auxiliary engines are operational. An overall average
emission rate for all ferries was calculated for berthing based on the average
auxiliary engine information available. The auxiliary engines are assumed to
have a loading factor of 45% during cruise and berthing, as stated in the “HK Inventory”. It is also assumed that
each unloading/loading takes 30 minutes to complete, including manoeuvring and
berthing.
From information available from ferry operators,
the exhausts were assumed to emit at water level, as no stack was visible for
majority of the ferries surveyed, and stacks for fast ferries are horizontal. To account for this exhaust position, the
stacks were modelled with an efflux velocity of 0.001 m/s and an
equivalent stack diameter. This approach is as described in Section 6.1 of the USEPA AERMOD Implementation Guide, 2009
and is considered conservative.
Emissions for the movement of fast ferries
to and from the terminal were also modelled. Separate emission factors were
calculated for Macau ferries (i.e., fast ferries travelling to/from Macau) and
China ferries (i.e., fast ferries travelling to/from cities in Mainland China).
Emissions are estimated based on the “HK
Inventory”. Slow cruise is defined as 8 – 12 knots, but the marine speed limit within Victoria Harbour is
10 knots. Therefore, all fast ferries are assumed to travel at 10
knots within the study area for the purpose of estimating the engine emission
rates.
For Macau ferries,
the largest engine power as stated in the “HK Inventory” is 9,280kW
and the maximum design cruise speed is 45 knots. For China ferries, the largest engine power as stated in the “HK Inventory” is 5,490kW
and the maximum design cruise speed is 32 knots. In order to estimate the ferry
engine power at the cruise speed of 10 knots, it is assumed that the engine
power, which can be estimated as hydrodynamic drag force multiplied by cruise
speed, is directly proportional to the cruise speed. In other
words, the hydrodynamic drag
force is assumed to be at a constant
level
that equals to the highest hydrodynamic drag force at
maximum engine power. This is a conservative assumption for estimating the engine power at reduced cruise speed conditions where the
hydrodynamic drag force would be lower. With such a conservative assumption, it can be
estimated that the engine power levels for Macau ferries and China ferries travelling at 10 knots are respectively 0.22 (i.e., 10knots / 45knots) x 9,280kW and 0.31 (i.e., 10knots / 32knots) x 5,490kW. Each scheduled travel of a fast ferry is considered to have two vessel
trips along the ferry route (one to and one from). The estimated emission rates are summarised in
Table
3.14
and details of the estimation are given in Appendix 3.25.
As the marine traffic emissions are included
as part of the emission inventory of the PATH model, there is a certain amount
of double counting. The modelling results for the fast ferries are therefore
considered to be conservative.
Table 3.14: Estimated Emission Rates of Fast Ferries at China Ferry Terminal
Pollutant |
Mode |
Estimated Emission Rates |
NOx |
Berth |
0.12 g/s for each ferry* |
|
China Ferry - Transit |
8.84 x 10-6 g/m2.s for each ferry |
|
Macau Ferry - Transit |
1.01 x 10-5 g/m2.s for each ferry |
RSP |
Berth |
0.004 g/s for each ferry* |
|
China Ferry - Transit |
2.79 x 10-7 g/m2.s for each ferry |
|
Macau Ferry - Transit |
3.21 x 10-7 g/m2.s for each ferry |
SO2 |
Berth |
0.026 g/s for each ferry* |
|
China Ferry - Transit |
1.88 x 10-6 g/m2.s for each ferry |
|
Macau Ferry - Transit |
2.15 x 10-6 g/m2.s for each ferry |
*Assumed to last for 30 minutes during each hour of
operation
The Ocean
Terminal is located to the south-east of WKCD. A 40,000-ton ship is berthed at
the Ocean Terminal during day-time but leaves for the sea during night-time. This 40,000-ship is hereafter referred to as the
day-time ship. Other cruise ships are also periodically berthed at the Ocean Terminal.
There are totally two berths available at the Ocean Terminal. Therefore, it is assumed for the worst-case scenario
that both the day-time ship and another 70,000-ton ship are berthed at the Terminal simultaneously, with the 70,000-ton
ship berthing for 24 hours of a day (hereafter referred to as the 24-hour ship).
The day-time ship is generally berthed between about 8:00am and 8:00pm, and has
been modelled as such. The 24-hour ship
is assumed to be berthed for 24 hours at the Terminal, as when visiting it can
be berthed at the Terminal for more than a day. This modelling approach is
considered to have captured the worst-case scenario when both cruise ships are
at the berths.
Emission rates of the ships berthing at the Ocean
Terminal were estimated by using the “USEPA
Methodology”, MARPOL regulations, as stated in Merchant Shipping (Prevention of Air Pollution) Regulation – Chapter
413M, Section 27 (3) (b) and engine information for the auxiliary engines.
No information was available as to whether the ship is to cold iron during
berth, so it is assumed all auxiliary engines are running for the entire time
the cruise ships are berthed at the Ocean Terminal. During berthing, the cruise
ships would also be running auxiliary boilers to provide hot water, heating and
other services. These services would be provided by exhaust heat exchangers on
the main and auxiliary engines during cruising, however during berth the main
engines are off and therefore auxiliary boilers are needed. Boiler emissions
were estimated based on the “HK Inventory”. The fuel used during
berthing is assumed to be residual oil, with a sulfur
content of 2.8%. This is conservative as some ocean going vessels use
distillate fuel, which has a lower sulfur content and
leads to lower RSP and SO2 emissions. The future projected average
fuel sulfur content is 1.98% for auxiliary engines
and 2.07% for auxiliary boilers, both of which are lower than the assumed 2.8% sulfur content.
Moreover, the MARPOL regulations will reduce the sulfur content to 0.5%
from 2020 onwards.
To prevent over-estimation of the SO2 emissions from the ships berthing at the Ocean Terminal, a calibration exercise was performed with reference to the on-site SO2 data recorded at the EPD’s WKCD monitoring station (see Section 3.4.1). Historic berthing timetable at the Ocean Terminal during the monitoring period of the WKCD monitoring station (i.e., from Sep 2011 to Aug 2012) was identified. As there are many day-time marine traffic emission sources (e.g., Star Ferries, China ferries, Macau ferries, recreational and cargo vessels) during day-time, the calibration exercise was carried out only for night-tme periods between 9pm and 8am when the 24-hour ship alone is berthed at the Ocean Terminal (the day-time ship is at cruise during night-time) and the emissions from fast ferries and other marine traffic are minimal. The calibration results were then used to adjust the SO2 emission rate for the 24-hour ship to provide more realistic estimates of the maximum SO2 concentrations at the ASRs. The SO2 emission rate for the day-time ship, which is smaller in tonnage than the 24-hour ship, is conservatively assumed to be the same as the adjusted emission rate for the 24-hour ship. Details of the calibration results for estimation of SO2 emission rates are given in Appendix 3.25.
Based on a
visual survey and information on the day-time ship, the height of the stacks
was assumed to be 50 metres. Based on engine information, there are four
auxiliary engines for day-time ship, and it is therefore assumed there are four
stacks. The estimated emission rates of the ships are summarised
in Table
3.15
and details of the estimation are given in Appendix 3.25.
No emissions for vessels sailing to and from the terminal were estimated or
modelled as this is considered
to be adequately covered by the PATH model and is outside the 500 m assessment
area.
Table 3.15: Estimated Emission Rates of Cruise Ships at Ocean Terminal
Pollutant |
Vessel |
Estimated Emission Rates (g/s) |
NOx |
Day-time ship |
12.97 |
|
24-hour ship |
14.55 |
RSP |
Day-time ship |
1.88 |
|
24-hour ship |
1.97 |
SO2 |
Day-time ship |
7.62 |
|
24-hour ship |
7.62 |
3.5.4 Operation Phase – General Emissions
To assess the operational air
quality, a variety of models were required. In
accordance with the
EPD’s Guidelines
on Choice of Models and Model Parameters.
3.5.4.1 Model Description - PATH
The PATH model is a numerical air quality modelling system developed specifically for use in Hong Kong. The model comprises of three modules: an emission model; a prognostic meteorological model and an Eulerian transport and chemistry model. These modules are interfaced together and set up on a series of nested domains to account for influences outside of Hong Kong.
3.5.4.2
Assumptions and Inputs – PATH
An updated version of PATH was released by
the EPD for general use in December 2012. As there is no significant policy
change or inventory update since the release of the latest PATH and the
submission of this report, use of the 2012 PATH model in its current state is
considered appropriate.
For EIA applications, PATH simulates wind field, pollutant emissions,
transportation and chemical transformation and outputs pollutant concentrations
over Hong Kong and the Pearl River Delta (PRD) region at a fine grid size of
1.5km.
During the 12th Hong Kong-Guangdong Joint Working Group
Meeting on Sustainable Development and Environmental Protection (Nov 2012), the
Hong Kong and Guangdong Governments jointly endorsed a Major Air Pollutant
Emission Reduction Plan for the Pearl River Delta Region up to year 2020. A
comprehensive emission inventory for Hong Kong and PRD was compiled for year
2010 based on current best estimates and projected to 2015 and 2020 in
accordance with the emission reduction measures proposed in the plan. The
emission inventory for year 2010 was used in PATH and produced reasonable agreement
with air quality measurements. The projected emission inventories for years
2015 and 2020 were also used in PATH to predict air qualities for future years.
The emission inventories include the total emissions from six key groups,
namely, public electricity generation, road transport (emissions estimated
based on VKT forecast provided by TD and EMFAC-HK model version 2.1),
navigation, civil aviation (emissions estimated based on forecasted air traffic
movements), other fuel combustion (covering emissions from such major
facilities as HK & China Gas, Green Island Cement and Integrated Waste
Management Facilities) and non-combustion. The Hong Kong emission inventories of the key
air pollutants of concerns for the Project are summarized in Table 3.16.
Table 3.16: Summary of 2015 and 2020 Hong Kong Emission Inventory for the PATH Model
Pollutant |
Total Emission in 2015 (ton/year) |
Total Emission in 2020 (ton/year) |
SO2 |
26,625 |
23,075 |
NOx |
98,100 |
87,200 |
RSP |
5,706 |
5,389 |
PATH model was used to quantify the background air
quality during the operational phase of the Project. Emission sources including
roads, marine, airports, power plants and industries within the Pearl River
Delta Economic Zone and Hong Kong were considered in the PATH model. Details of
the PATH Model and related emission inventory can be found in EPD’s web site.
The hourly SO2, NOx
and RSP concentrations as extracted from the PATH for year 2015 are adopted as
the background air pollutant concentrations in the estimation of cumulative
impact for the Project during the worst case year of 2015. The hourly pollutant concentrations as
extracted from the PATH for year 2020 have also been used to refine the NO2
modelling results for those planned ASRs that will be
in operation from 2020 onwards (see Section
3.6.2).
Since the vehicular and marine
traffic emissions at local scale (i.e. within the 500m assessment area) have
been modeled by near-field dispersion models, namely, CALINE4 and ISCST (see Sections 3.5.2 and 3.5.3), adding the PATH background concentrations to the
near-field modeling results would lead to certain amount of double counting,
and hence conservative cumulative modeling results.
3.5.4.3 Other Assumptions
According to Entec UK Limited: Defra
UK Ship Emissions Inventory, 2010 the NOx:NO2
ratio can vary between 0.05 and 0.10. The NOx
formed during combustion comprise predominantly of NO, with a small percentage
of primary NO2. In the atmosphere the NO oxidises to NO2
which is considered as secondary NO2. For conservative results a
conversion factor of 0.10 has been used for NOx
to NO2.
The Ozone Limiting Method (OLM) as described
in EPD’s Guidelines on Choice of Models and Model Parameters has been adopted to estimate the conversion
of NOx to NO2 from both marine
and vehicular emissions. The ozone concentrations are based on the future
hourly background ozone concentrations for year 2015 or 2020, which were
extracted from grid (28, 27) of the most up to date PATH. Grid (28, 27) of the
PATH model is used because the majority of the WKCD area falls within this grid
(see Figure 3.8).
The NOx/NO2
conversion for vehicular and marine emissions is therefore estimated as
follows:
[NO2] =
0.075 x [NOx]vehicle
+ minimum of {0.925 x [NOx]vehicle
or (46/48) x [O3]PATH} + 0.10 x [NOx]marine
+ minimum of {0.90 x [NOx]marine or (46/48) x [O3]PATH}
where
[NO2] is the estimated hourly vehicular
NO2 concentration (predicted by CALINE4 and ISCST);
[NOx]vehicle
is the hourly NOx
concentration as predicted by CALINE4 and ISCST3 for vehicular emissions at the
receptor;
[O3]PATH is the hourly ozone concentrations
as extracted from the aforementioned
grid of the PATH model for year 2015 or 2020; and
[NOx]marine
is the hourly NOx
concentration as predicted by ISCST3 for marine emissions at the receptor.
To estimate the total hourly
concentrations, the hourly pollutant concentrations as predicted by CALINE4 and
ISCST3 (vehicular and marine) are added together with the future hourly
background pollutant concentrations as extracted from the relevant grid of the
PATH model. Therefore, the total hourly concentrations of NO2 are
calculated as follows:
[NO2]total = [NO2] + [NO2]PATH
where
[NO2]total
is the total hourly NO2
concentration;
[NO2] is the hourly vehicular and
marine NO2 concentration which is first predicted by CALINE4 and ISCST3 as NOx and then converted to NO2 by
using OLM; and
[NO2]PATH
is the hourly NO2
concentrations as extracted from the aforementioned grid of the PATH model for
year 2015 or 2020.
Similarly, the total hourly RSP (vehicular
and marine) and SO2 (marine emissions only) concentrations are also
calculated by adding together the hourly results predicted by CALINE4, ISCST3
and PATH.
With the total hourly NO2, RSP
and SO2 estimated, the daily results are obtained by taking the
arithmetic mean of the 24 hourly results. Similarly, the annual concentrations
are calculated as the arithmetic mean of the whole year of hourly results.
3.5.5
Operation Phase – Odour Emissions
3.5.5.1 Odour Source Monitoring
In order to assess the potential odour
impacts on WKCD, odour source monitoring was undertaken to identify the key
odour emission sources from NYMTTS, and to perform field investigation and
laboratory tests to quantify the odour emission rates (OER) of NYMTTS on
typical hot days when the air temperature is over 30oC. According to
the weather data recorded at the Hong Kong Observatory station in 2010, the
mean daily maximum air temperatures in July, August and September were
respectively 32.1oC, 31.9oC and 30.5oC,
representing the top three hottest months in the year. Therefore, typical hot
days are taken as the summer days when the daytime air temperature is over 30oC.
Odour source monitoring was carried on 21
and 22 August 2012. On both monitoring days, the weather was sunny and the air
temperatures were in the range of 30oC to 32oC. On-site measurements and samplings were
performed during the ebb tide periods, with reference to the Hong Kong
Observatory’s tidal chart in order to capture the worst case odour emissions
when the sea water depth was the shallowest. It is therefore considered that
the odour source monitoring results obtained could be used to represent the
worst case odour emission scenario for NYMTTS during typical hot days when the
air temperature is over 30oC.
All the field sampling and measurement works
as well as the laboratory testing works were carried by a laboratory that has
been accredited by the Hong Kong Laboratory Accreditation Scheme (HOKLAS).
Sampling
Grids
For the purpose of evaluating odour emission
rates, NYMTTS was divided into 30 sampling grids for the odour source
monitoring as illustrated in Figure 3.9.
The arrangement and sizes of the grids were determined based on the following
site-specific information into account:
§ Results of the odour patrol in March 2011.
During the odour patrol conducted in March 2011 malodour was only detected
surrounding the watercourse boundary of northern portion of NYMTTS, i.e., along
the route from P2 to P3 in Figure 1 in Appendix
3.26a
whereas no malodour was detected along the patrol route from P1 to P2. The
report documenting the results of odour patrol in March 2011 is attached in Appendix
3.26a.
Moreover, such odour patrol results are consistent with the records of odour
complaint against NYMTTS received by EPD in the past seven years from 2006 to
2013 (see Table 3.8). In
view of these findings, more grids are placed on the northern portion (i.e.,
north of P2) of NYMTTS than in its southern portion.
§ Review of the drainage discharges into
NYMTTS. According to drainage records from the Drainage Services Department (DSD),
there are two box culvert outfalls (i.e., Cherry Street Box Culvert and Jordan
Road Box Culvert) and one drainage pipe discharging into NYMTTS, and their locations
are as shown in Figure 3.9.
All such outfalls and pipe discharges were observed during the odour patrol and
odour sampling works. The two box culvert locations are very close to the
locations where elevated odour concentrations (with sewage/rotten-egg odour)
were found during the odour patrol in March 2011 (i.e., locations C and F as
shown in Figure 1 in Appendix 3.26a).
Therefore, it is considered that the malodour should be mainly due to the
effluent discharge from the box culverts. Hence, more grids of finer sizes
(i.e., grids 5-10, 20-23 and 28-30) were placed in vicinity of the two outfalls
in order to capture the emission strength.
As
control stations, two locations outside of NYMTTS have also been included in
the sampling and testing exercises. Their locations are as shown in Figure
3.9.
On-site
Testing and Sampling
At each of the 30 grids, an air sample was
collected through a floating ventilated sampling hood located at the water surface
of the grid. The design of the floating ventilated sampling hood is based on
the specification in the VDI 3880 standard in Germany. The volumetric flow rate
of the sampler measured at the sampling days was 5.2 m³/h,
which is near the low end of allowable range of the hood and is equivalent to
an air flow speed inside the hood of about 0.019 m/s (calculated by
dividing the flow rate with the cross-sectional area of the hood, i.e.,
0.075 m²). Air drawn into the hood was first passed through an
activated carbon filter. This filter was changed at the beginning of each
sampling day to prevent saturation.
On the day of sampling it was observed at
the grids in the vicinity of Cherry Street Box Culvert (approximately grids 29
and 30) there were fine bubbles coming from the water surface. A low air flow
speed was used to allow the odour concentration inside the sampling hood to
build up to a high level, which is suitable for the subsequent olfactometry analysis to obtain reliable and conservative
results. A higher velocity would increase the dilution volume and therefore
lead to lower concentrations. Moreover, wind speed at such a low value is
equivalent to a calm wind condition, which is a worst case scenario for
atmospheric dispersion of air pollutants. Therefore, it is considered that the
odour emission rates determined based on the odour samples collected at this
low air flow speed would represent conservative and worst case emission source
data for the subsequent modelling exercise.
During the field sampling, the following
on-site tests were also carried out:
(a)
Hydrogen sulfide (H2S)
During the odour patrol in March 2011, rotten egg and sewage smell was detected at the locations where malodour was perceived (see Tables 11 and 13 of Appendix 3.26a), and elevated hydrogen sulfide (H2S) concentrations were measured at the locations where the odour concentrations were found to be higher (see Tables 14 and 15 of Appendix 3.26a). Therefore, H2S would likely be one of the key odorous chemicals, and hence H2S was measured to provide initial idea about the strength of odour emission.
(b)
Odour intensity and hedonic tone
These parameters were measured to characterise
any malodour and to serve as supplementary data for the subsequent laboratory
testing odour concentrations.
(c)
Water depth
Water depth was measured to check against
the tidal conditions and was also required for the purpose of collecting water
samples at various water depths.
(d)
Water temperature, salinity, pH and dissolved oxygen (DO)
These water parameters were measured to
collect the necessary marine water quality of NYMTTS on the sampling days so as
to identify if and how odour emission would be affected by the water quality,
particularly the DO levels.
(e)
Weather data
Ambient air temperature, relative humidity, wind direction and wind speed were measured to capture the weather conditions on the sampling days.
Laboratory
Testing of Air Samples
The collected air samples were delivered to the
accredited laboratory within 24 hours from sample collection. The odour
concentrations were determined by using dynamic olfactometry,
according to the European Standard Method BS EN13725:2003, and samples were tested
for hydrogen sulfide using UV fluorescence analyzer. For each air sample, 3 rounds of laboratory
testing of hydrogen sulfide were conducted to obtain
the average testing result.
3.5.5.2
Odour Review
To review the odour monitoring results
obtained in August 2012, odour sampling and testing works were carried out on
18 and 20 February 2013 as well as on 18, 20 and 22 March 2013 by a HOKLAS
accredited laboratory. The main purposes
of the review are to repeat the odour sampling and testing works at the
selected grids 5, 7-11, 14, 17 and 20-30 for comparison with the corresponding odour
monitoring results in August 2012; and to determine the key contributors of
odour emissions from NYMTTS (i.e., air-bound, water-bound or sediment-bound
odour). The grids selected for the odour
review exercise include mainly those grids that were identified with high odour
emissions and sewage/rotten egg odour during the monitoring in August 2012.
At each of the selected grids for the odour
review, an air sample was collected by placing the dynamic flux chamber at the
water surface of the grid. Nitrogen is
supplied to the chamber as the carrier gas for collecting the sample because
nitrogen is odour-free and is expected to provide more realistic odour testing
results of the odour generated from the water surface. The volumetric flow rate of nitrogen gas
inside the chamber is 3.5 L/min (or 0.21 m3/h) and is equivalent to
an air flow speed inside the chamber of about 0.00044 m/s (calculated by dividing
the flow rate with the covered surface area of 0.132 m2). Such a low air flow speed would allow the
odour concentration inside the chamber to build up to a high level and is also equivalent
to a calm wind condition, which would give conservative odour testing results.
All collected air samples were delivered to
the accredited laboratory for testing of odour concentrations by using dynamic olfactometry, according to the European Standard Method BS
EN13725:2003. In addition, water and
marine sediment samples were also collected for laboratory testing of odour
concentrations in order to identify the water-bound and sediment-bound odour
levels.
Based on the odour monitoring results in August
2012 as well as the odour review results in February and March 2013, the OERs at
each of the 30 grids were estimated. The odour review results together with the
odour monitoring results are presented in Appendix 3.26b while details of the
estimated OERs are given in Appendix 3.26c.
3.5.5.3 Model Description – ISCST3
Gaussian model ISCST3 has been used for modelling potential effects from odour due to NYMTTS. Refer to Section 3.5.1.2 for model description and limitations.
3.5.5.4 Inputs and Assumptions – ISCST3
The odour identified for a number of grids during
the odour monitoring was perceived as sea water odour with a hedonic tone of
zero (i.e., neutral or no odour), which is of the same odour quality at the two
control stations (see Table 3.26). An odour with a hedonic tone of zero is
considered to be neutral and neither pleasant nor offensive.
Odours from
different sources can undergo various phenomena, one of which is masking,
whereby the presence of one odour can disguise, or mask, the presence of a
second. Different odorants may also interact. This can cause interactive or
‘synergistic’ effects, such that the sum of the odorants may be either greater
than or less than the intensity of the odour components. In practice, odours
from significantly different sources and with different characters are usually
neither additive nor synergistic, but instead one source tends to dominate, or
mask, the presence of the other.[6]
Dispersion models assume a conservation of
mass of contaminants, that is the odour intensity of a mixture of two different
odorous sources are considered to be additive. Odour modelling is not able to
predict synergistic or masking effects, and to that effect, modelling a
pleasant and offensive odour source in parallel would produce one overall
‘odour’ intensity, which would not be representative of, the different hedonic
tones of the individual odours, the relative decrease in intensity of the
individual odours or the potential for one odour to mask the other.
Sea-water has a neutral tone and is
generally considered to be non-offensive, and is assumed to be masked by the
presence of offensive odour. However, as
Annex 4 of the EIAO-TM does not allow for a differentiation between different
types of odours, the emissions for all grids of the NYMTTS together with the
surrounding sea water within the 500 m assessment area have been modelled
in parallel.
The OER values are calculated from low tide,
typical hot day emission rates and have been assumed to occur for the entire
hour, for every hour for the whole modelling period, i.e., 24 hours a day, 365
days per year.
With the OER determined, the odour emissions
have been modelled as area sources by using ISCST3 to predict the odour impact
on the proposed WKCD development, i.e., the ASRs identified within WKCD (see Table 3.3 and Figure 3.1b), according to the EPD’s Guidelines on Choice of Models and Model
Parameters. Meteorological data as
extracted from grid (28, 27) of the PATH model released by EPD in December 2012
has been used for the assessment.
In the approved EIA for Kai Tak Development (EIA-157/2008), a factor of 2.3 or 2.5 was used
to convert the hourly average odour concentration as predicted by ISCST3 into
5-second average concentrations depending on the atmospheric stability class.
In this modelling exercise, the factor of 2.5 was adopted for the conversion
under all stability classes for conservative estimation. The 5-second average
odour concentrations estimated were then compared with the odour criterion of 5 ou in accordance with the EIAO-TM. As odour emissions are existing, only new ASRs within the WKCD boundary are
assessed as the WKCD project does not contribute odour emissions to the
surrounding 500 m study area.
The odour impacts on WKCD from the NYMTTS
and the surrounding sea water within the 500 m assessment area are
modelled and assessed under the following three scenarios:
§ Background odour scenario
§ Current odour scenario
§ Mitigated odour scenarios A and B
Under this scenario, all the grids of NYMTTS
are assumed to be generating sea water odour.
This is considered as the background sea water odour levels even if
there were no malodour emissions from the entire NYMTTS, representing the lowest possible odour
levels at WKCD.
Current
Odour Scenario
Under this scenario, all the grid cells of
NYMTTS were modelled using the OER estimated based on the odour source
monitoring and review results (see Table 3.26). This represents the potential current odour
impacts on WKCD due to both odour emissions from NYMTTS and sea water odour
emissions from the surrounding marine environment.
Mitigated
Odour Scenarios A and B
As detailed in Section 3.7.3.1, measures have been planned to improve the
Dry Weather Flow Interceptors (DWFI) upstream of both Cherry Street and Jordon
Road Box Culverts, which will help mitigate the water-bound odour emission from
NYMTTS by reducing the amount of effluent discharges or organic matters entering
the NYMTTS. The tender to construct a
new DWFI upstream of the Cherry Street Box Culvert has already been launched
whereas the improvement works for DWFI upstream of the Jordon Road Box Culvert are
yet to be started. In light of the different status of the improvement measures
for the two Box Culverts, two mitigated scenarios have been adopted:
Mitigated Scenario A: Under this scenario, the recommended improvement
measures for both Cherry Street and Jordon Road Box Culverts are implemented,
and therefore the amount of effluent discharges or organic matters entering the
NYMTTS via both Box Culverts would be reduced as explained in the Section 3.7.3.1. As there is no sufficient available data
to quantify the reduction in water-bound odour emissions that would result from
reduction in organic matters, a sensitivity test approach in evaluating the potential
reduction in odour impacts due to the DWFI improvement works has been adopted. Under
the sensitivity test, four assumed ratios of reduction in organic matters to
reduction in water-bound odour emissions, i.e., 1:1, 1:0.75, 1:0.5 and 1:0.25,
have been modelled. For example, the
ratio of 1:0.75 refers to the situation where the reduction of water-bound
odour emissions is 75% of the reduction in organic matters entering
NYMTTS. The OER for grid cells
identified with high odour emissions in the vicinity of both Cherry Street and
Jordon Road Box Culverts would be reduced according to each of the four assumed
ratios. The OER for all other grid cells
of NYMTTS are the same as those adopted in the current odour scenario. This represents
the potential residual odour impacts on WKCD after implementation of the
recommended improvement measures for both Cherry Street and Jordon Road Box
Culverts.
Mitigated Scenario B: Under this scenario, the recommended improvement
measures for only the Cherry Street Box Culvert are implemented, and therefore
the amount of effluent discharges or organic matters entering the NYMTTS via
the Box Culvert would be reduced as explained in the Section 3.7.3.1. Similar to the Mitigated Scenario A, the
sensitivity test approach has been adopted by using the four assumed ratios of
reduction in organic matters to reduction in water-bound odour emissions, i.e.,
1:1, 1:0.75, 1:0.5 and 1:0.25. The OER for grid cells identified with high
odour emissions in the vicinity of only the Cherry Street Box Culvert would be
reduced according to each of the four assumed ratios. The OER for all other
grid cells of NYMTTS are the same as those adopted in the current odour
scenario. This represents the potential residual odour impacts on WKCD after
implementation of the recommended mitigation measures for only the Cherry
Street Box Culvert (but not for the Jordon Road Box Culvert).
In all the above ten scenarios, the
surrounding 500 metres sea water odour emissions have been included in the
modelling exercise.
3.6 Evaluation and Assessment of the Air Quality Impacts
3.6.1.1 Construction Phase Tier 1 Results
The Tier 1 screening results for unmitigated and mitigated scenarios including the background contribution are tabulated in Appendix 3.28. The unmitigated and mitigated results are summarised as follows.
Hourly
The Tier 1 hourly TSP results under both unmitigated and mitigated scenarios are summarized in Table 3.17. There would be exceedances of the hourly TSP limit of 500 µg/m3 under the Tier 1 unmitigated scenario from 2014 to 2020. However, under the Tier 1 mitigated scenario, exceedances of the hourly TSP limit would only occur from 2015 to 2018, but no exceedances in 2013, 2014, 2019 and 2020.
The locations of the dust sources are shown in Figures 3.3a to 3.3k. Figures 3.11a to 3.11h and 3.12a to 3.12h show the Tier 1 hourly TSP concentration contours for unmitigated and mitigated scenarios, respectively.
Table 3.17: Summary of Predicted Cumulative Hourly Average TSP Concentrations for All ASRs (Tier 1 Unmitigated & Mitigated)
Year |
Tier 1
Unmitigated Scenario Range of Maximum Hourly TSP (μg/m3) [Criterion - 500 µg/m3] |
Tier 1
Mitigated Scenario Range of Maximum Hourly TSP (μg/m3) [Criterion - 500 µg/m3] |
2013 |
120 – 422 |
74 – 147 |
2014 |
97 – 1992 |
75 – 420 |
2015 |
150 – 4731 |
79 – 580 |
2016 |
175 – 5296 |
79 – 623 |
2017 |
203 – 5108 |
81 – 543 |
2018 |
207 – 4465 |
82 – 503 |
2019 |
148 – 3760 |
76 – 429 |
2020 |
113 – 3161 |
73 – 479 |
Table 3.18 shows the receptors that would breach the hourly TSP limit of 500 µg/m3 under the Tier 1 mitigated scenario for years 2015 to 2018. ASRs that were predicted to exceed the hourly TSP limit of 500 µg/m3 for the Tier 1 mitigated scenario were modelled further under Tier 2 conditions, as described in Section 3.5.1.4.
Table 3.18: Predicted Cumulative Hourly Average TSP Concentrations for ASRs with Exceedance (Tier 1 Mitigated)
ASR |
Height above ground (m) |
Maximum Hourly TSP (μg/m3) [Criterion - 500 µg/m3] |
Remark |
2015 |
|||
P01d-1 |
4 |
580 |
Planned Performance Art
Venues within WKCD. It is a possible fresh air intake. Exceedance subject to Tier 2 assessment. |
P53-1 |
4 |
575 |
Planned Performance Art
Venues within WKCD. It is a possible open area. Exceedance subject to Tier 2 assessment. |
2016 |
|||
P01a-1 |
4 |
534 |
Planned Performance Art
Venues within WKCD. It is a possible fresh air intake. Exceedance subject to Tier 2 assessment. |
P01b-1 |
4 |
550 |
Planned Performance Art
Venues within WKCD. It is a possible fresh air intake. Exceedance subject to Tier 2 assessment. |
P01c-1 |
4 |
616 |
Planned Performance Art
Venues within WKCD. It is a possible fresh air intake. Exceedance subject to Tier 2 assessment. |
P53-1 |
4 |
623 |
Planned Performance Art
Venues within WKCD. It is a possible open area. Exceedance subject to Tier 2 assessment. |
2017 |
|||
P52-1 |
4 |
543 |
Planned Performance Art
Venues within WKCD. It is a possible open area. Exceedance subject to Tier 2 assessment |
2018 |
|||
P52-1 |
4 |
503 |
Planned Performance Art
Venues within WKCD. It is a possible open area. Exceedance subject to Tier 2 assessment |
Daily
The daily TSP results for Tier 1 unmitigated and mitigated scenario including the background contribution are tabulated in Appendix 3.28. Table 3.19 summarises the Tier 1 results for daily TSP under both unmitigated and mitigated scenarios. There would be exceedances of the daily TSP limit of 260 µg/m3 under the Tier 1 unmitigated scenario from 2014 to 2020. However, under the Tier 1 mitigated scenario, no ASR are predicted to exceed the daily TSP limit for any of the assessment years.
The locations of the dust sources are shown in Figures 3.3a to 3.3k. Figures 3.13a to 3.13h and Figures 3.14a to 3.14h show the daily TSP concentration contours for unmitigated and mitigated scenarios, respectively.
Table 3.19: Summary of Predicted Cumulative Daily Average TSP Concentrations for All ASRs (Tier 1 Unmitigated & Mitigated)
Year |
Tier 1
Unmitigated Scenario Range of Maximum Daily TSP (μg/m3) [Criterion - 260 µg/m3] |
Tier 1
Mitigated Scenario Range of Maximum Daily TSP (μg/m3) [Criterion - 260 µg/m3] |
2013 |
73 - 149 |
69 – 90 |
2014 |
74 – 433 |
69 –132 |
2015 |
80 – 1110 |
70 – 223 |
2016 |
86 –1844 |
70 – 257 |
2017 |
84 –1278 |
70 – 204 |
2018 |
91 –1266 |
71 – 200 |
2019 |
82 –1187 |
70 – 190 |
2020 |
75 –1050 |
69 – 173 |
3.6.1.2 Construction Phase Tier 2 Results
The Tier 2 results including the background contribution, as described in Section 3.5.1.4 are tabulated in Appendix 3.29, and are discussed below.
Hourly
Tier 2 scenario was
performed for those ASR subject to exceedance of the
hourly TSP limit under the Tier 1 mitigated scenario. Under the Tier 2
mitigated scenario no ASRs were subject to exceedance
of the hourly TSP limit of 500 µg/m³, as summarised in Table 3.20. Detailed
results can be found in Appendix 3.29. The locations of the dust sources are shown in Figures 3.3a
to 3.3k. Figures 3.15a to 3.15f show the hourly
TSP concentration contours under the Tier 2 mitigated scenario.
Table 3.20: Summary of Predicted Cumulative Hourly Average TSP Concentrations (Tier 2 Mitigated)
ASR |
Height above ground (m) |
Maximum Hourly TSP (μg/m3) [Criterion - 500 µg/m3] |
2015 |
|
|
P01d-1 |
4 |
406 |
P53-1 |
4 |
265 |
2016 |
|
|
P01a-1 |
4 |
343 |
P01b-1 |
4 |
374 |
P01c-1 |
4 |
438 |
P53-1 |
4 |
413 |
2017 |
|
|
P52-1 |
4 |
247 |
2018 |
|
|
P52-1 |
4 |
162 |
Daily
There are no ASRs that would be subject to exceedance of the daily TSP limit under the Tier 1 mitigated scenario. Therefore, it is not necessary to run the Tier 2 mitigated scenario for daily TSP.
3.6.1.3 Construction Phase Annual Results
The annual results for mitigated and unmitigated scenarios including the background contribution are tabulated in Appendix 3.30 and are also summarised in Table 3.21. There would be exceedances of the annual TSP limit of 80 µg/m3 under the unmitigated scenario for years 2014 and 2016 only. However, under the mitigated scenario, no ASRs would exceed the annual TSP limit for any of the assessment years.
The
locations of the dust sources are shown in Figures 3.3a
to 3.3k. Figures 3.17a to 3.17h and Figures 3.18a to 3.18h
show the annual TSP concentration contours for unmitigated and mitigated
scenarios, respectively.
Table 3.21: Summary of Predicted Cumulative Annual Average TSP Concentrations for All ASRs (Unmitigated & Mitigated)
Year |
Unmitigated Scenario Range of Maximum Annual TSP (μg/m3) [Criterion
- 80 µg/m3] |
Mitigated Scenario Range of Maximum Annual TSP (μg/m3) [Criterion - 80 µg/m3] |
2013 |
68 - 76 |
68 - 70 |
2014 |
69 - 81 |
68 - 75 |
2015 |
68 - 79 |
68 - 79 |
2016 |
69 - 84 |
68 - 78 |
2017 |
68 - 79 |
68 - 71 |
2018 |
68 - 78 |
68 - 72 |
2019 |
68 - 75 |
68 - 71 |
2020 |
68 - 75 |
68 - 74 |
3.6.2
Operation Phase – Vehicular and Marine
Emissions
The predicted air quality results have
included the background pollutant levels as extracted from the PATH model for
year 2015 based on the latest released model and the cumulative impacts of the
following emissions:
§ Existing and proposed open roads within the 500 m assessment area;
§ Proposed underpasses/landscape decks along the Austin Road West and Lin Cheung Road and the associated top openings under the Road Works at West Kowloon project;
§ Existing WHC portal in the vicinity of the WKCD site;
§ Ventilation exhausts/portals serving the planned underground roads within the WKCD area;
§ Emissions from stationary marine sources at NYPCWA, China Ferry Terminal and Ocean Terminal, and;
§ Fast ferry and tug movements within the 500 m assessment area.
Comparison of the predicted cumulative NO2,
RSP and SO2 concentrations and any exceedances
for individual ASRs under all modelled scenarios during the worst case year of
2015 (see Sections 3.5.2.3 and 3.5.2.5) can be found in Appendix 3.31. For the planned ASRs that will only be in
operation in or after 2020, however, the modelling results that are based on
the worst case year of 2015 with the highest total road traffic emissions would
be overly conservative because those planned ASRs are yet to exist in 2015. As a result, the relevant modelling works for
road traffic emissions have been refined for such planned ASRs by adopting the
traffic forecast in 2020 and the background concentrations as extracted from
the PATH for year 2020 in order to obtain more realistic estimates of the
predicted maximum cumulative NO2 levels. Details of the modelling results using the
traffic forecast and background concentrations in 2020 are given in Appendix 3.32. The contours for cumulative NO2, SO2 and RSP at
1.5m, 12m, 40m, 50m and 60m above ground are shown in Figure 3.19 to Figure 3.93.
According to the modelling
results as summarised in Table
3.22, all
the ASRs would be in compliance with the corresponding AQOs for daily and
annual RSP; for hourly, daily and annual SO2; as well as for hourly,
daily and annual NO2.
However, the predicted maximum hourly or daily NO2
concentrations at some of the ASRs would exceed the corresponding AQO for up to
once per year, which is within the allowable numbers of exceedance
for hourly NO2 (3 times per year) and for daily NO2 (once
per year). Details of such hourly and daily NO2 exceedances,
together with the breakdown of NO2 contributions due to different
sources, are summarised in Table
3.23.
Table 3.22: Summary of Predicted Cumulative RSP, SO2 and NO2 Concentrations for All ASRs
Air
Pollutant |
Averaging
Time |
AQO (μg/m3) |
Allowable
Exceedances in a Year |
Range of
Maximum Concentrations (μg/m3) |
Maximum No.
of Exceedance in a Year |
RSP Note (1) |
24 hours |
180 |
1 |
114.5 – 117.7 |
0 |
1 year |
55 |
0 |
42.8 – 51.7 |
0 |
|
SO2 Note (1) |
1 hour |
800 |
3 |
84.7 – 619.1 |
0 |
24 hours |
350 |
1 |
31.5 – 89.0 |
0 |
|
1 year |
80 |
0 |
7.9 – 16.2 |
0 |
|
NO2 Note (2) |
1 hour |
300 |
3 |
259.7 – 314.9 |
0 – 1 |
24 hours |
150 |
1 |
108.0 – 150.3 |
0 – 1 |
|
1 year |
80 |
0 |
45.0 – 79.7 |
0 |
Notes:
(1)
The predicted SO2 and RSP concentrations for all existing and
planned ASRs are based on the traffic forecast during the worst-case year of
2015 and the background concentrations as extracted from the PATH for year
2015.
(2)
The predicted NO2 concentrations for existing ASRs and
planned ASRs that will
be in operation before 2020 are based on the traffic forecast
during the worst-case year of 2015 and the background concentrations as
extracted from the PATH for year 2015 whereas the predicted NO2
concentrations for planned ASRs that will be in operation in/after 2020 have
been refined based on the traffic forecast in 2020 and the background
concentrations as extracted from the PATH for year 2020.
From Table 3.23, four
existing ASRs, namely, WOB-1, VT1-23, SRT-1 and SRT-2, would be subject to exceedance of the AQO for hourly NO2 for once a
year, which is, however, below the allowable number of exceedances
(3 times per year). At two planned ASRs,
namely, P09-1 and P37-1, the cumulative maximum daily NO2
concentrations would marginally exceed the AQO for daily NO2 by only
0.2 to 0.3 μg/m3 (about 0.1% to 0.2% of the AQO for daily NO2)
for once per year, which is still within the allowable number of exceedance under the AQO for daily NO2 (once per
year). Therefore, these four existing
ASRs and two planned ASRs would still be in compliance with the AQO for hourly
NO2 and daily NO2 respectively. As noted in Table 3.3,
ASRs P09-1 and P37-1 are at 4m above ground level, and are therefore assessment
points for reference only but not fresh air intake or openable
window locations.
It can also be seen from Table 3.23 that
majority (some 78%-81%) of the hourly/daily NO2 concentrations would
be from the background concentration and the remaining 19%-22% would be due to
nearby marine traffic/vessel plus road traffic emissions. Of these 19%-22%
contributions, the percentage contributions from nearby road traffic emissions
for the four existing ASRs would be around 6%-12%, which are lower than the
corresponding percentages (some 18%-19%) for the two planned ASRs. As the WKCD Project would
only contribute to some road traffic emissions (from the underpass road within
WKCD and the flyover across WHC portal), the Project is not the key contributor
to the exceedance of hourly or daily NO2 limits
(only once in a year) at the six ASRs.
Table 3.23: Breakdown of Predicted Cumulative NO2 Concentrations by Sources for ASRs with Potential Exceedance
ASR |
Height
above ground (m) |
Description |
Maximum Cumulative Hourly/Daily NO2
Concentrations (μg/m3)* |
||||||
|
Background
Contribution |
Marine
Traffic Contribution |
Road
Traffic Contribution |
Total
Concentration# |
|||||
Hourly NO2 (AQO: 300 μg/m3, not to be exceeded for more than 3 times per year) |
|||||||||
WOB-1 |
6.8 |
Wing On
Building – Block A Residential (Existing ASR) |
246.2 |
80.6% |
39.6 |
13.0% |
19.6 |
6.4% |
305.4 [1] |
VT1-23 |
8 |
The Victoria
Towers – Tower 1 Residential (Existing ASR) |
246.2 |
80.3% |
41.6 |
13.6% |
18.7 |
6.1% |
306.5 [1] |
SRT-1 |
19 |
Sorrento – Tower 1 Residential (Existing
ASR) |
246.2 |
78.2% |
30.0 |
9.5% |
38.7 |
12.3% |
314.9 [1] |
SRT-2 |
23 |
246.2 |
81.1% |
29.9 |
9.8% |
27.6 |
9.1% |
303.7 [1] |
|
Daily NO2 (AQO: 150 μg/m3, not to be exceeded for more than once per year) |
|||||||||
P09-1 |
4 |
Office/
Residential (Planned from 2017
onwards) |
118.9 |
79.1% |
2.2 |
1.5% |
29.2 |
19.4% |
150.3 [1] |
P37-1 |
4 |
Retail/
Dining/ Entertainment (Planned
from 2017 onwards) |
118.9 |
79.2% |
3.7 |
2.5% |
27.6 |
18.4% |
150.2 [1] |
*Percentages in shaded cells represent the percentage
share of the total concentrations.
#Numbers in bracket
refer to the numbers of exceedance per year.
As explained in Sections 3.4.3 and 3.4.4, majority of the vehicular emission sources
and all marine emission sources are due to respectively the nearby current/planned
road networks serving the West Kowloon area and the existing marine activities
in the surrounding waters, but not due to the WKCD development itself. To illustrate this, breakdown of the
predicted maximum hourly NO2 contributions due to different sources
has been identified at a number of selected ASRs during the worst case year of
2015, as presented in Table 3.24. These selected ASRs cover existing ASRs close
to but outside the WKCD boundary and planned ASRs representing the various
types of future developments (to be operated before 2020) scattering within the
entire WKCD area. It can be seen from
the Table that 88%-100% of NO2 contributions would be due to the
background concentration plus the surrounding marine traffic emissions, with
12% or less from the nearby road traffic emissions. As the WKCD Project would only result in some
road traffic emissions (from the underpass road within WKCD and the flyover
across WHC portal), WKCD itself would have very minor contribution to the
predicted air quality impacts at the ASRs.
Table 3.24: Breakdown of Predicted Cumulative Hourly NO2 Concentrations by Sources for Selected ASRs (for the Worst Case Year of 2015)
ASR |
Height
above ground (m) |
Description |
Maximum Cumulative Hourly NO2
Concentrations (μg/m3)* (AQO: 300 μg/m3, not to be exceeded for more than 3 times
per year) |
|||||||
|
Background
Contribution |
Marine
Traffic Contribution |
Road
Traffic Contribution |
Total
Concentration# |
||||||
WOB-1 |
6.8 |
Wing On
Building – Block A Residential (Existing ASR) |
246.2 |
80.6% |
39.6 |
13.0% |
19.6 |
6.4% |
305.4 [1] |
|
VT1-23 |
8 |
The Victoria
Towers – Tower 1 Residential (Existing ASR) |
246.2 |
80.3% |
41.6 |
13.6% |
18.7 |
6.1% |
306.5 [1] |
|
SRT-1 |
19 |
Sorrento – Tower 1 Residential (Existing ASR) |
246.2 |
78.2% |
30.0 |
9.5% |
38.7 |
12.3% |
314.9 [1] |
|
SRT-2 |
23 |
246.2 |
81.1% |
29.9 |
9.8% |
27.6 |
9.1% |
303.7 [1] |
||
P01a-1 |
4 |
Planned performance art venue (Planned ASR from 2015 onwards) |
246.2 |
86.0% |
40.0 |
14.0% |
0.1 |
0.0% |
286.3 |
|
P01a-3 |
12 |
246.2 |
86.1% |
39.9 |
13.9% |
0.0 |
0.0% |
286.1 |
||
P01a-5 |
20 |
246.2 |
86.1% |
39.7 |
13.9% |
0.0 |
0.0% |
285.9 |
||
P01a-7 |
40 |
246.2 |
87.5% |
35.2 |
12.5% |
0.0 |
0.0% |
281.4 |
||
P09-1 |
4 |
Office/ Residential (Planned ASR from 2017 onwards) |
246.2 |
87.3% |
35.9 |
12.7% |
0.0 |
0.0% |
282.1 |
|
P09-3 |
12 |
246.2 |
87.5% |
35.2 |
12.5% |
0.0 |
0.0% |
281.4 |
||
P09-5 |
20 |
246.2 |
87.9% |
33.8 |
12.1% |
0.0 |
0.0% |
280.0 |
||
P09-7 |
40 |
277.2 |
99.2% |
2.2 |
0.8% |
0.0 |
0.0% |
279.4 |
||
P10-1 |
4 |
Office +
Retail/ Dining/ Entertainment Residential (Planned ASR from 2017 onwards) |
246.2 |
85.8% |
40.9 |
14.2% |
0.0 |
0.0% |
287.1 |
|
P10-3 |
12 |
246.2 |
85.8% |
40.8 |
14.2% |
0.0 |
0.0% |
287.0 |
||
P10-5 |
20 |
246.2 |
85.9% |
40.5 |
14.1% |
0.0 |
0.0% |
286.7 |
||
P10-8 |
50 |
246.2 |
88.1% |
33.4 |
11.9% |
0.0 |
0.0% |
279.6 |
||
P16-1 |
4 |
Retail/
Dining/ Entertainment Residential (Planned ASR from 2018 onwards) |
277.2 |
99.4% |
1.8 |
0.6% |
0.0 |
0.0% |
279.0 |
|
P16-3 |
12 |
277.2 |
99.4% |
1.7 |
0.6% |
0.0 |
0.0% |
278.9 |
||
P16-5 |
20 |
277.2 |
99.4% |
1.7 |
0.6% |
0.0 |
0.0% |
278.9 |
||
P16-8 |
50 |
277.2 |
99.5% |
1.3 |
0.5% |
0.0 |
0.0% |
278.5 |
||
P29-1 |
4 |
Office +
Retail/ Dining/ Entertainment Residential (Planned ASR from 2018 onwards) |
277.2 |
99.8% |
0.5 |
0.2% |
0.1 |
0.0% |
277.8 |
|
P29-3 |
12 |
277.2 |
99.8% |
0.5 |
0.2% |
0.0 |
0.0% |
277.7 |
||
P29-5 |
20 |
277.2 |
99.8% |
0.5 |
0.2% |
0.0 |
0.0% |
277.7 |
||
P29-10 |
70 |
277.2 |
99.9% |
0.4 |
0.1% |
0.0 |
0.0% |
277.6 |
||
P35c-1 |
4 |
Planned performance art venue (Planned ASR from 2017 onwards) |
277.2 |
99.6% |
1.1 |
0.4% |
0.0 |
0.0% |
278.3 |
|
P35c-3 |
12 |
277.2 |
99.6% |
1.1 |
0.4% |
0.0 |
0.0% |
278.3 |
||
P35c-5 |
20 |
277.2 |
99.6% |
1.1 |
0.4% |
0.0 |
0.0% |
278.3 |
||
P37-1 |
4 |
Retail/
Dining/ Entertainment (Planned ASR from 2017 onwards) |
246.2 |
88.1% |
6.7 |
2.4% |
26.6 |
9.5% |
279.5 |
|
P37-3 |
12 |
277.2 |
99.6% |
0.1 |
0.0% |
1.0 |
0.4% |
278.3 |
||
P37-5 |
20 |
277.2 |
99.7% |
0.1 |
0.0% |
0.8 |
0.3% |
278.1 |
||
P37-10 |
70 |
277.2 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
277.2 |
||
P51-1 |
4 |
Freespace (Planned ASR from 2016 onwards) |
277.2 |
99.9% |
0.2 |
0.1% |
0.0 |
0.0% |
277.4 |
|
P51-3 |
12 |
277.2 |
99.9% |
0.2 |
0.1% |
0.0 |
0.0% |
277.4 |
||
P51-5 |
20 |
277.2 |
99.9% |
0.2 |
0.1% |
0.0 |
0.0% |
277.4 |
||
P52-1 |
4 |
Pavilion (Planned ASR from 2016 onwards) |
277.2 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
277.2 |
|
P52-3 |
12 |
277.2 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
277.2 |
||
P52-5 |
20 |
277.2 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
277.2 |
||
OP |
1.5 |
Open Space (Planned ASR from 2017 onwards) |
277.2 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
277.2 |
|
*Percentages in shaded cells represent the percentage
share of the total concentrations.
#Numbers in bracket
refer to the numbers of exceedance per year.
To illustrate the predicted air quality impacts in 2020, breakdown of
the predicted maximum hourly NO2 contributions due to different
sources has also been identified by adopting the traffic forecast and
background concentrations for the year of 2020 at selected ASRs, as presented in Table 3.25. The selected ASRs cover existing ASRs close
to but outside the WKCD boundary and planned ASRs representing the future
developments within WKCD, particularly those in the vicinity of the WHC portal. It can be seen from the Table that 73%-100%
of NO2 contributions would be due to the background concentration
plus the surrounding marine traffic emissions, with 27% or less from the nearby
road traffic emissions. The NO2
contributions from nearby road traffic for P43d and P43e at not more than 12m
above ground (21%-27%) are much higher than those for other ASRs (0.0%-8.9%), chiefly
because of their proximity to the WHC portal. Another observation is that the
cumulative maximum hourly NO2 concentrations of the existing ASRs in
2020 would be considerably lower than those in 2015 (i.e., Table 3.24),
indicating an appreciable extent of improvement in air quality from 2015 to
2020.
Table 3.25: Breakdown of Predicted Cumulative Hourly NO2 Concentrations by Sources for Selected ASRs (for Year
2020)
ASR |
Height
above ground (m) |
Description |
Maximum Cumulative Hourly NO2
Concentrations (μg/m3)* (AQO: 300 μg/m3, not to be exceeded for more than 3 times
per year) |
||||||
|
Background
Contribution |
Marine
Traffic Contribution |
Road
Traffic Contribution |
Total
Concentration |
|||||
WOB-1 |
6.8 |
Wing On
Building – Block A Residential (Existing ASR) |
259.7 |
97.1% |
4.9 |
1.8% |
2.9 |
1.1% |
267.5 |
VT1-23 |
8 |
The Victoria
Towers – Tower 1 Residential (Existing ASR) |
214.5 |
74.5% |
61.7 |
21.4% |
11.7 |
4.1% |
287.9 |
SRT-1 |
19 |
Sorrento – Tower 1 Residential (Existing ASR) |
214.5 |
79.9% |
30.0 |
11.2% |
23.8 |
8.9% |
268.3 |
SRT-2 |
23 |
259.7 |
98.8% |
0.0 |
0.0% |
3.1 |
1.2% |
262.8 |
|
P37-1 |
4 |
Retail/ Dining/
Entertainment (Planned ASR from 2017 onwards) |
259.7 |
98.8% |
0.1 |
0.0% |
3.0 |
1.1% |
262.8 |
P37-3 |
12 |
259.7 |
98.9% |
0.1 |
0.0% |
2.7 |
1.0% |
262.5 |
|
P37-5 |
20 |
259.7 |
99.0% |
0.1 |
0.0% |
2.4 |
0.9% |
262.2 |
|
P37-10 |
70 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P39-1 |
4 |
Office + Planned performance art venues (Planned ASR from 2020 onwards) |
259.7 |
99.0% |
0.1 |
0.0% |
2.6 |
1.0% |
262.4 |
P39-3 |
12 |
259.7 |
99.4% |
0.1 |
0.0% |
1.5 |
0.6% |
261.3 |
|
P39-5 |
20 |
259.7 |
99.7% |
0.1 |
0.0% |
0.7 |
0.3% |
260.5 |
|
P39-10 |
70 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43a-1 |
4 |
Hotel + Retail/ Dining/ Entertainment (Planned ASR from 2020 onwards) |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
P43a-3 |
12 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43a-4 |
16 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43b-1 |
4 |
Ditto |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
P43b-3 |
12 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43b-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43c-1 |
4 |
Ditto |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
P43c-3 |
12 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43c-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43d-1 |
4 |
Ditto |
202.8 |
72.6% |
2.7 |
1.0% |
73.9 |
26.4% |
279.4 |
P43d-3 |
12 |
202.8 |
77.3% |
2.7 |
1.0% |
56.7 |
21.6% |
262.2 |
|
P43d-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43d-7 |
40 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43e-1 |
4 |
Ditto |
202.8 |
72.2% |
3.2 |
1.1% |
74.9 |
26.7% |
280.9 |
P43e-3 |
12 |
202.8 |
77.5% |
3.2 |
1.2% |
55.8 |
21.3% |
261.8 |
|
P43e-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43e-8 |
50 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43f-1 |
4 |
Ditto |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
P43f-3 |
12 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43f-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43f-8 |
50 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43g-1 |
4 |
Ditto |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
P43g-3 |
12 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43g-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43g-7 |
40 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43h-1 |
4 |
Ditto |
259.7 |
100.0% |
0.0 |
0.0% |
0.1 |
0.0% |
259.8 |
P43h-3 |
12 |
259.7 |
100.0% |
0.0 |
0.0% |
0.1 |
0.0% |
259.8 |
|
P43h-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43h-7 |
40 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43i-1 |
4 |
Ditto |
259.7 |
99.9% |
0.0 |
0.0% |
0.2 |
0.1% |
259.9 |
P43i-3 |
12 |
259.7 |
100.0% |
0.0 |
0.0% |
0.1 |
0.0% |
259.8 |
|
P43i-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43i-6 |
30 |
259.7 |
100.0% |
0.0 |
0.0% |
0.0 |
0.0% |
259.7 |
|
P43j-1 |
4 |
Ditto |
259.7 |
99.9% |
0.0 |
0.0% |
0.3 |
0.1% |
260.0 |
P43j-3 |
12 |
259.7 |
99.9% |
0.0 |
0.0% |
0.2 |
0.1% |
259.9 |
|
P43j-5 |
20 |
259.7 |
100.0% |
0.0 |
0.0% |
0.1 |
0.0% |
259.8 |
|
P43k-1 |
4 |
Ditto |
259.7 |
99.9% |
0.0 |
0.0% |
0.3 |
0.1% |
260.0 |
P43k-3 |
12 |
259.7 |
99.9% |
0.0 |
0.0% |
0.2 |
0.1% |
259.9 |
|
P43k-4 |
16 |
259.7 |
100.0% |
0.0 |
0.0% |
0.1 |
0.0% |
259.8 |
*Percentages in shaded cells represent the percentage
share of the total concentrations.
3.6.3
Operation Phase – Odour Emissions
3.6.3.1
Odour
Patrol Results
The odour patrol was carried out in March
2011 by the HOKLAS accredited laboratory. According to the odour patrol results (as detailed in Appendix 3.26a), malodour was only detected surrounding the
watercourse boundary of northern portion of NYMTTS, i.e., along the route from P2
to P3 in Figure 1 in Appendix 3.26a, whereas no malodour was
found along the patrol route from P1 to P2 including the adjoining boundary between
NYMTTS and WKCD site. During the on-site measurement and odour sampling, calm wind conditions were recorded, which is generally an unfavourable condition for atmospheric
dispersion or dilution of air pollutants including odour. Therefore, the malodour detected at various
locations along NYMTTS
boundary, particularly locations C and F as shown in Figure 1 in Appendix 3.26a, during the odour patrol would likely be due to odour episode
from their immediate vicinity, i.e., the two box
culvert outfalls as shown in Figure 3.9.
The odour patrol result is consistent with the
records of odour complaint against NYMTTS received by EPD from 2006 to 2013 (up
to April 2013), during which a total of six odour complaints were received. All
the complainants were located around the northern portion of NYMTTS.
3.6.3.2
Odour Source
Monitoring Results
Odour
Emission Rates
The Odour Emission Rate (OER) estimated for
individual grids of NYMTTS based on the odour source monitoring results in
August 2012 as well as the odour review results in February and March 2013 are
summarised in Table 3.26. The odour source monitoring and review
results are given in Appendix 3.26b, while details of the estimated
OERs are documented in Appendix 3.26c. It can be seen from the Table 3.26 that relatively higher OERs and
sewage/rotten egg odour are found in the grids in vicinity of the two box
culvert outfalls as shown in Figures 3.9, which are identified as the major
source of odour from NYMTTS. Inflammable material odour was detected at some of
the grids. Elevated
OERs associated with sewage odour are consistently associated with high H2S
level indicating that the odour would mainly be from anaerobic decomposition of
organic matters discharged into NYMTTS.
The odour identified for grids 1-4, 6,
11-12, 17-18 and 26 was perceived as sea water odour with a hedonic tone of
zero (i.e., neutral or no odour), which is of the same odour quality at the two
control stations. An odour with a hedonic tone of zero is considered to be
neutral and neither pleasant nor offensive.
The aforementioned OER values are calculated
from low tide, typical hot day emission rates and have been assumed to occur
for the entire hour, for every hour for the whole modelling period, i.e., 24
hours a day, 365 days per year.
Odours from different sources can undergo
various phenomena, one of which is masking, whereby the presence of one odour
can disguise, or mask, the presence of a second. Different odorants may also
interact. This can cause interactive or ‘synergistic’ effects, such that the
sum of the odorants may be either greater than or less than the intensity of the
odour components. In practice, odours from significantly different sources and
with different characters are usually neither additive nor synergistic, but
instead one source tends to dominate, or mask, the presence of the other.
Dispersion models assume a conservation of
mass of contaminants, that is the odour intensity of a mixture of two different
odorous sources are considered to be additive. Odour modelling is not able to
predict synergistic or masking effects, and to that effect, modelling a pleasant
and offensive odour source in parallel would produce one overall ‘odour’
intensity, which would not be representative of, the different hedonic tones of
the individual odours, the relative decrease in intensity of the individual
odours or the potential for one odour to mask the other.
Sea-water has a neutral tone and is
generally considered to be non-offensive, and is assumed to be masked by the offensive
odour (e.g., sewage/rotten egg odour), however as Annex 4 of the EIAO-TM does
not allow for a differentiation between the types of odours, the emissions for
all grids have been modelled in parallel.
Table 3.26 Estimated Odour Emission Rates for NYMTTS
Grid
No. |
Estimated OER (ou/m2/s) |
On-site
Ambient H2S Concentration (ppm) |
Odour
Quality [Median Hedonic Tone] |
1 |
0.032 |
<0.003 |
Sea
water [0] |
2 |
0.032 |
<0.003 |
Sea
water [0] |
3 |
0.032 |
<0.003 |
Sea
water [0] |
4 |
0.032 |
<0.003 |
Sea
water [0] |
5 |
0.997 |
0.153 |
Sewage/Sewage
odour - Rotten egg [-2] |
6 |
0.032 |
<0.003 |
Sea
water [0] |
7 |
1.322 |
1.367 |
Sewage/Sewage
odour - Rotten egg [-4] |
8 |
0.130 |
0.022 |
Sewage/Sewage
odour - Rotten egg, Seawater [-1] |
9 |
0.205 |
0.563 |
Sewage/Sewage
odour - Rotten egg [-3] |
10 |
0.093 |
0.117 |
Sewage/Sewage
odour - Rotten egg [-1] |
11 |
0.032 |
<0.003 |
Sea
water [0] |
12 |
0.032 |
<0.003 |
Sea
water [0] |
13 |
0.520 |
0.004 |
Inflammable
materials odour [-1] |
14 |
0.033 |
0.018 |
Sewage/Sewage
odour - Rotten egg, Seawater [-1] |
15 |
0.032 |
<0.003 |
Inflammable
materials odour [-1] |
16 |
0.032 |
<0.003 |
Inflammable
materials odour [-1] |
17 |
0.032 |
<0.003 |
Sea
water [0] |
18 |
0.032 |
<0.003 |
Sea
water [0] |
19 |
0.032 |
<0.003 |
Inflammable
materials odour [-1] |
20 |
0.175 |
0.063 |
Sewage/Sewage
odour - Rotten egg, Seawater [-1] |
21 |
0.148 |
0.040 |
Sewage/Sewage
odour - Rotten egg, Seawater [-1] |
22 |
0.228 |
0.433 |
Sewage/Sewage
odour - Rotten egg, Seawater [-2] |
23 |
0.830 |
0.397 |
Sewage/Sewage
odour - Rotten egg [-2] |
24 |
0.071 |
0.038 |
Sewage/Sewage
odour - Rotten egg, Seawater [-1] |
25 |
0.032 |
0.004 |
Sewage/Sewage
odour - Rotten egg, Seawater [-1] |
26 |
0.160 |
<0.003 |
Sea
water [0] |
27 |
0.052 |
0.006 |
Sewage/Sewage
odour - Rotten egg, Seawater [-1] |
28 |
0.113 |
0.403 |
Sewage/Sewage
odour - Rotten egg [-2] |
29 |
1.129 |
0.983 |
Sewage/Sewage
odour - Rotten egg [-3] |
30 |
2.702 |
1.267 |
Sewage/Sewage
odour - Rotten egg [-4] |
Control 1 |
0.032 |
<0.003 |
Sea
water [0] |
Control 2 |
0.032 |
<0.003 |
Sea
water [0] |
Note: Shaded cells indicate the
grids with relatively higher OER values and hydrogen sulfide
levels.
A multi-dimensional analysis of the odour profile
from the NYMTTS was performed to determine the major source of odour. As such,
the odour concentrations were determined from air-bound, water-bound and
sediment-bound sources. The various contributions were normalised
against the air-bound odour concentrations. It was found that majority of
the odour would be contributed from water and minority from sediment.
Unlike other locations that were found to have odour problems such as Kai Tak Nullah and Shing Mun River, the major odour
source for NYMTTS is not from its sediment. In other words, the malodour
emissions from NYMTTS would mainly be water-bound odour. More information can
be found in Appendix 3.26b.
3.6.3.3
Odour
Modelling Results
Based on the OERs as presented in Appendix 3.34, the ten scenarios as detailed in Section 3.5.5.5 have been modelled to predict the odour
impacts on the planned ASRs within WKCD (see Figure 3.1b). The predicted maximum
odour concentrations and numbers of exceedance over
the odour criterion (5 ou/m3) for the various
scenarios are summarised in Table 3.27.
In the Table, the ASRs are grouped as
residential ASRs and non-residential ASRs.
The former refer to those that have been planned for residential use
whereas the latter refer to those that have been planned for such
non-residential uses as offices, retails, hotels, performance venues, open
space, etc. In other words, most of the
non-residential ASRs represent potential fresh air intake locations for such
developments, with some representing open space. Full tabular odour modelling results
can be found in Appendix 3.35.
The contours of 5-second odour concentrations
within the WKCD site under the ten scenarios are shown in Figures 3.94 to 3.103.
Table 3.27 Summary
of Odour modelling Results
|
Current Scenario |
Mitigated Scenario A for Different Ratios* |
Mitigated Scenario B for Different Ratios* |
Back-ground Scenario |
|||||||
|
1:1 |
1:0.75 |
1:0.5 |
1:0.25 |
1:1 |
1:0.75 |
1:0.5 |
1:0.25 |
|||
Residential |
No. of ASR exceeding 5 ou/m3 |
22 |
2 |
7 |
12 |
17 |
20 |
20 |
21 |
21 |
0 |
Total no. of ASR assessed |
65 |
65 |
65 |
65 |
65 |
65 |
65 |
65 |
65 |
65 |
|
Range of predicted
maximum odour concentration (ou/m3) |
2.6 – 9.1 |
1.5 – 5.1 |
1.9 – 6.3 |
2.1 – 7.3 |
2.4 – 8.2 |
2.2 – 8.1 |
2.4 – 8.5 |
2.4 – 8.7 |
2.5 – 8.9 |
0.6 – 2.0 |
|
Predicted maximum no. of exceedance in a year# |
33 [0.4%] |
6 [0.1%] |
18 [0.2%] |
27 [0.3%] |
32 [0.4%] |
28 [0.3%] |
28 [0.3%] |
29 [0.3%] |
33 [0.4%] |
0 [0%] |
|
Non-Residential |
ASR exceeding 5 ou/m3 |
355 |
60 |
190 |
260 |
310 |
330 |
338 |
343 |
351 |
0 |
Total no. of ASR assessed |
473 |
473 |
473 |
473 |
473 |
473 |
473 |
473 |
473 |
473 |
|
Range of predicted
maximum odour concentration (ou/m3) |
2.2 – 13.7 |
1.2 – 8.5 |
1.5 – 9.8 |
1.7 – 11.1 |
1.9 – 12.4 |
1.7 – 13.7 |
1.8 – 13.7 |
1.9 – 13.7 |
2.1 – 13.7 |
0.6 – 4.0 |
|
Predicted maximum no. of exceedance in a year# |
218 [2.5%] |
76 [0.9%] |
99 [1.1%] |
136 [1.6%] |
187 [2.1%] |
190 [2.2%] |
199 [2.3%] |
205 [2.3%] |
213 [2.4%] |
0 [0%] |
*Ratios of reduction in effluent discharges or
organic matters entering NYMTTS to reduction in water-bound odour emissions.
#Percentages inside bracket represent
the % of hours with exceedance in a year.
The background model represents the odour
emitted from NYMTTS and the surrounding 500 m of seawater should foul
water not enter from the box culverts. The background values are considered to
be the lowest possible odour level achievable at the receivers. The background
odour scenario modelling results shows a range of 0.6 to 2.0 ou/m3 for residential ASRs and
0.6 to 4.0 ou/m3 for
non-residential ASRs. The receivers modelled show that no residential or
non-residential ASRs are expected to exceed the 5 ou/m3
criterion.
During the current odour scenario, the predicted
maximum results indicate exceedance of the odour
criterion of 5 ou/m3 at 22
of the 65 residential receivers and 355 of the 473 non-residential receivers.
The range of odour concentrations is from 2.6 to 9.1 ou/m3 for residential
receivers and from 2.2 to 13.7 ou/m3
for non-residential receivers. Residential ASRs are expected to exceed the
criterion for up to 33 hours per year (or up to 0.4% of the time in a year) and
non-residential ASRs for up to 218 hours per year (or up to 2.5% of the time in
a year). The values represent a hypothetical worst case scenario where odour
from NYMTTS was assumed to be continuously released throughout every day at the
same rates as the OERs that were obtained during the sampling on hot summer
days.
The odour patrol results and odour monitoring
results have identified that odour emission from NYMTTS is mainly due to
discharge from the two box culverts. If the amount of such effluent discharge entering
the stormwater system decreases, which ultimately is
released into NYMTTS, the water-bound malodour is expected to decrease, and therefore
the OER from the NYMTTS would be expected to reduce (Section 3.7.3.1).
The modelling results of mitigated scenario A (reduction of effluent discharge from both Cherry Street
and Jordon Road Box Culverts) show that 2 to 17 of the 65 planned residential ASRs
are expected to exceed the 5 ou/m3
criterion, and their odour concentrations range from 1.5 to 8.2 ou/m3. For non-residential ASRs, 60 to 310 of the 473
planned receivers are expected to exceed the odour criterion, and their odour
concentrations range from 1.2 to 12.4 ou/m3.
Residential ASRs are expected to exceed the criterion for up to 32 hours per
year (or up to 0.4% of the time in a year) and non-residential ASRs for up to 187
hours per year (or up to 2.1% of the time in a year).
For the mitigated scenario B (reduction of
effluent discharge from only the Cherry Street Box Culvert), the modelling
results show that 20 to 21 of the 65 planned residential ASRs are expected to
exceed the 5 ou/m3 criterion, and
their odour concentrations range from 2.2 to 8.9 ou/m3. For non-residential ASRs, 330 to 351 of the 473
planned receivers are expected to exceed the odour criterion, and their
concentrations range from 1.7 to 13.7
ou/m3. Residential ASRs are
expected to exceed the criterion for up to 33 hours per year (or up to 0.4% of
the time in a year) and non-residential ASRs for up to 213 hours per year (or
up to 2.4% of the time in a year).
The mitigated odour results show decreases in
the predicted odour impacts when the Dry Weather Flow Interceptors (DWFI) upstream
of NYMTTS are improved to achieve an interception efficiency of 80%, as
discussed in Section 3.7.3.1 and Appendix 3.34. As expected, the mitigated scenario A would
generally result in lower odour impacts that the mitigated scenario B. However, the extent of odour impact reduction
would depend on the level of reduction in water-bound odour emission that could
be achieved by reducing the organic matters entering the NYMTTS.
It should be noted that the odour modelling
results are considered conservative for a number of reasons as follows:
·
It is expected odour emissions from NYMTTS in night time or non-summer months would be smaller due to lower sea
temperatures and hence slower rate of odour release from anaerobic digestion
and fermentation of organic matters and therefore the actual rate of exceedance during the current or mitigated scenarios would be lower than the model results. According
to the “Baseline Odour Sampling Report –
Executive Summary” completed for the Kai Tak
Development project, odour monitoring was carried out to determine the baseline
odour emissions from the water surface of the Kai Tak
Approach Channel (KTAC) in March 2010 , August 2010 and February 2011 before
any implementation of the improvement works.
The OERs obtained in the three months showed substantial seasonal
variations. In particular, the OERs
obtained at two sampling locations at northern KTAC in March 2010 and February
2011 (non-summer months) were roughly 7% to 20% of the OERs measured in August
2010 (a summer month);
·
The odour complaints in the previous 7 years as shown in Table
3.8
are low, which also suggests a considerable amount of conservatism within the
modelling results, therefore the actual rate of exceedance
during the current scenario is expected to be lower than the model results; and
·
Variation in the odour emission rate could be expected due to tidal
variation, that is, at high tide
the water available for dilution of the stormwater is
increased, which would be expected to
dilute the odour emission rate. A variation in the OER would also be expected
during rainfall periods, due to the dilution and mixing of the stormwater, therefore the actual rate of exceedance during the current scenario would be lower than the model results.
To facilitate further analysis of the
modelling results, Table 3.28 to Table 3.30 show the predicted maximum odour concentrations and numbers of exceedance during day-time and night-time of individual
months under the current scenario, mitigated scenario A and mitigated scenario
B. It can be seen from the Tables that exceedance of the odour criterion would not occur at any
residential ASRs during day-time throughout a year, but would only occasionally
happen during night-time (not more than 0.7% of the time in a month). It should be noted that the OERs at night-time
would be lower than those at day-time due to the generally cooler water at
night, and hence the odour exceedance at night-time
is expected to be even lower than the predicted values in the Tables.
For non-residential ASRs, there would only be occasional exceedance of the odour criterion at day-time in January,
October and December only (not more than 0.8% of the time in a month). While
the predicted maximum odour exceedance percentages for
non-residential ASRs during the night-time in February, March, April, October,
November and December appear to be relatively higher than those in other
months, these months are not in summer with generally lower water temperatures. Therefore,
it is anticipated that the odour concentrations or exceedance
percentages for the non-residential ASRs in these non-summer months would be
lower than the predicted values in Table 3.28 to
Table 3.30.
While the mitigated odour modelling results show a number of ASRs to be in exceedance of the 5 ou/m3 criterion, it is important to note that WKCD does not contribute to the odour emitted from NYMTTS.
Table 3.28
Breakdown of Odour modelling Results under Current
Scenario
Month |
Predicted
maximum odour concentration (ou/m3) |
Predicted maximum no. of exceedance in a month(3) |
||||||
|
Residential ASRs |
Non-residential ASRs |
Residential ASRs |
Non-residential ASRs |
||||
|
Day-time(1) |
Night-time(2) |
Day-time |
Night-time |
Day-time |
Night-time |
Day-time |
Night-time |
Jan |
1.9 |
7.2 |
5.7 |
9.3 |
0 [0.0%] |
1 [0.1%] |
1 [0.1%] |
8 [1.1%] |
Feb |
2.3 |
8.6 |
4.1 |
13.7 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
16 [2.4%] |
Mar |
1.5 |
7.6 |
3.2 |
13.7 |
0 [0.0%] |
2 [0.3%] |
0 [0.0%] |
19 [2.6%] |
Apr |
0.7 |
9.0 |
3.9 |
13.2 |
0 [0.0%] |
2 [0.3%] |
0 [0.0%] |
21 [2.9%] |
May |
1.3 |
9.1 |
3.2 |
11.9 |
0 [0.0%] |
4 [0.5%] |
0 [0.0%] |
9 [1.2%] |
Jun |
2.7 |
9.0 |
2.8 |
10.6 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
5 [0.7%] |
Jul |
0.6 |
9.1 |
1.3 |
11.3 |
0 [0.0%] |
5 [0.7%] |
0 [0.0%] |
6 [0.8%] |
Aug |
2.6 |
8.5 |
4.2 |
11.6 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
15 [2.0%] |
Sep |
2.3 |
9.1 |
3.4 |
13.7 |
0 [0.0%] |
1 [0.1%] |
0 [0.0%] |
18 [2.5%] |
Oct |
1.7 |
5.9 |
5.8 |
12.3 |
0 [0.0%] |
1 [0.1%] |
3 [0.4%] |
31 [4.2%] |
Nov |
2.7 |
9.1 |
3.8 |
13.6 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
17 [2.4%] |
Dec |
2.8 |
8.7 |
11.9 |
13.7 |
0 [0.0%] |
5 [0.7%] |
6 [0.8%] |
43 [5.8%] |
Notes: (1)
Day-time means 7am to 7pm.
·
(2) Night-time means 7pm to
7am.
(3) Percentages inside bracket represent the % of
hours with exceedance in a month.
·
(4) Shaded cells represent
results during summer months.
Table 3.29
Breakdown of Odour modelling Results under Mitigated
Scenario A
Predicted
maximum odour concentration (ou/m3) |
Predicted maximum
no. of exceedance in a month(3) |
|||||||
|
Residential
ASRs |
Non-residential
ASRs |
Residential
ASRs |
Non-residential
ASRs |
||||
|
Day-time(1) |
Night-time(2) |
Day-time |
Night-time |
Day-time |
Night-time |
Day-time |
Night-time |
Jan |
1.7 |
6.5 |
5.2 |
8.4 |
0 [0.0%] |
1 [0.1%] |
1 [0.1%] |
8 [1.1%] |
Feb |
2.1 |
7.7 |
3.7 |
12.4 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
16 [2.4%] |
Mar |
1.3 |
6.8 |
2.9 |
12.4 |
0 [0.0%] |
1 [0.1%] |
0 [0.0%] |
17 [2.3%] |
Apr |
0.6 |
8.1 |
3.6 |
12.0 |
0 [0.0%] |
2 [0.3%] |
0 [0.0%] |
18 [2.5%] |
May |
1.2 |
8.1 |
2.9 |
10.9 |
0 [0.0%] |
4 [0.5%] |
0 [0.0%] |
8 [1.1%] |
Jun |
2.4 |
8.1 |
2.6 |
9.5 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
5 [0.7%] |
Jul |
0.6 |
8.2 |
1.3 |
10.1 |
0 [0.0%] |
5 [0.7%] |
0 [0.0%] |
5 [0.7%] |
Aug |
2.4 |
7.7 |
3.8 |
10.7 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
12 [1.6%] |
Sep |
2.1 |
8.2 |
3.1 |
12.4 |
0 [0.0%] |
1 [0.1%] |
0 [0.0%] |
14 [1.9%] |
Oct |
1.6 |
5.3 |
5.3 |
11.2 |
0 [0.0%] |
1 [0.1%] |
2 [0.3%] |
20 [2.7%] |
Nov |
2.4 |
8.2 |
3.5 |
12.3 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
15 [2.1%] |
Dec |
2.5 |
7.8 |
10.8 |
12.4 |
0 [0.0%] |
5 [0.7%] |
6 [0.8%] |
40 [5.4%] |
Notes: (1) Day-time means 7am to 7pm.
·
(2) Night-time means 7pm to
7am.
(3) Percentages inside
bracket represent the % of hours with exceedance in a
month.
·
(4) Shaded cells represent
results during summer months.
Table 3.30 Breakdown of Odour modelling
Results under Mitigated Scenario B
Month |
Predicted
maximum odour concentration (ou/m3) |
Predicted maximum no. of exceedance in a month(3) |
||||||
|
Residential ASRs |
Non-residential ASRs |
Residential ASRs |
Non-residential ASRs |
||||
|
Day-time(1) |
Night-time(2) |
Day-time |
Night-time |
Day-time |
Night-time |
Day-time |
Night-time |
Jan |
1.8 |
7.1 |
5.7 |
9.2 |
0 [0.0%] |
1 [0.1%] |
1 [0.1%] |
8 [1.1%] |
Feb |
2.3 |
8.4 |
4.0 |
13.7 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
16 [2.4%] |
Mar |
1.4 |
7.4 |
3.2 |
13.7 |
0 [0.0%] |
2 [0.3%] |
0 [0.0%] |
19 [2.6%] |
Apr |
0.7 |
8.7 |
3.8 |
13.1 |
0 [0.0%] |
2 [0.3%] |
0 [0.0%] |
20 [2.8%] |
May |
1.3 |
8.8 |
3.1 |
11.7 |
0 [0.0%] |
4 [0.5%] |
0 [0.0%] |
9 [1.2%] |
Jun |
2.6 |
8.8 |
2.7 |
10.3 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
5 [0.7%] |
Jul |
0.6 |
8.9 |
1.3 |
11.0 |
0 [0.0%] |
5 [0.7%] |
0 [0.0%] |
6 [0.8%] |
Aug |
2.6 |
8.4 |
4.1 |
11.2 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
15 [2.0%] |
Sep |
2.2 |
8.9 |
3.4 |
13.7 |
0 [0.0%] |
1 [0.1%] |
0 [0.0%] |
17 [2.4%] |
Oct |
1.7 |
5.8 |
5.7 |
12.2 |
0 [0.0%] |
1 [0.1%] |
3 [0.4%] |
30 [4.0%] |
Nov |
2.6 |
8.9 |
3.8 |
13.6 |
0 [0.0%] |
3 [0.4%] |
0 [0.0%] |
16 [2.2%] |
Dec |
2.7 |
8.6 |
11.6 |
13.7 |
0 [0.0%] |
5 [0.7%] |
6 [0.8%] |
42 [5.6%] |
Notes: (1)
Day-time means 7am to 7pm.
·
(2) Night-time means 7pm to
7am.
(3) Percentages inside bracket represent the % of
hours with exceedance in a month.
·
(4) Shaded cells represent
results during summer months.
3.6.3.4
Optional
Waste Facilities
Should the optional automatic waste collection facility be adopted for the WKCD Project, such facility will be located at basement levels to avoid any potential odour issues. In addition, the following odour containment and control measures, where necessary, will be provided:
· The waste facilities will be totally enclosed. Negative pressure ventilation will be provided within the enclosures to avoid any fugitive odorous emission from the facilities. In addition, any waste storage tanks will be connected to deodorisation facilities directly to eliminate the odour problem.
· Air inside the enclosures will be collected by air handling equipment for containing and directing odorous gases to deodorisation facilities.
· Deodorisation facilities by chemical, biological or physical methods (e.g. adsorption by activated carbon) with a minimum odour removal efficiency of 95% will be provided to treat potential odorous emissions from the facilities so as to minimise any potential odour impact to the nearby ASRs.
With the proper locations of the optional waste facility and the above odour containment and control measures in place to substantially confine and reduce the potential odour emissions at sources, it is anticipated that there would not be significant odour impact on the nearby ASRs.
3.7.1.1 General Dust Control Measures
To ensure compliance with the TSP criteria during the construction phase, the relevant requirements stipulated in the Air Pollution Control (Construction Dust) Regulation and EPD’s Guidance Note on the Best Practicable Means for Cement Works (Concrete Batching Plant) BPM 3/2(93) as well as the good practices for dust control should be implemented to reduce the dust impact. The dust control measures are detailed as follows:
Dust emissions could be suppressed by regular water spraying on site. In general, water spraying twice a day could reduce dust emission from active construction area by 50%. However, for this WKCD Project, more frequent water spraying, i.e., 12 times a day or once every hour, is required for heavy construction activities at all active works area in order to achieve a higher dust suppression efficiency of 91.7% to reduce the dust impacts to acceptable levels. A watering intensity of 3.75 L/m2, 12 times a day or once every hour, is predicted to achieve 91.7% dust suppression efficiency. Detailed calculations can be found in Appendix 3.8. Heavy construction activities include construction of roads, drilling, ground excavation, cut and fill operations (i.e., earth moving), etc.
3.7.1.2 Best Practices for Dust Control
In addition to implementing the recommended dust control measures mentioned above, it is recommended that the relevant best practices for dust control as stipulated in the Air Pollution Control (Construction Dust) Regulation should also be adopted to further reduce the construction dust impacts of the Project. These best practices include:
Good Site Management
· Good site management is important to help reducing potential air quality impact down to an acceptable level. As a general guide, the Contractor should maintain high standard of housekeeping to prevent emission of fugitive dust. Loading, unloading, handling and storage of raw materials, wastes or by-products should be carried out in a manner so as to minimise the release of visible dust emission. Any piles of materials accumulated on or around the work areas should be cleaned up regularly. Cleaning, repair and maintenance of all plant facilities within the work areas should be carried out in a manner minimising generation of fugitive dust emissions. The material should be handled properly to prevent fugitive dust emission before cleaning.
Disturbed Parts of the Roads
· Each and every main temporary access should be paved with concrete, bituminous hardcore materials or metal plates and kept clear of dusty materials; or
· Unpaved parts of the road should be sprayed with water or a dust suppression chemical so as to keep the entire road surface wet.
Exposed Earth
· Exposed earth should be properly treated by compaction, hydroseeding, vegetation planting or seating with latex, vinyl, bitumen within six months after the last construction activity on the site or part of the site where the exposed earth lies.
Loading, Unloading or Transfer of Dusty Materials
· All dusty materials should be sprayed with water immediately prior to any loading or transfer operation so as to keep the dusty material wet.
Debris Handling
· Any debris should be covered entirely by impervious sheeting or stored in a debris collection area sheltered on the top and the three sides.
· Before debris is dumped into a chute, water should be sprayed so that it remains wet when it is dumped.
Transport of Dusty Materials
· Vehicle used for transporting dusty materials/spoils should be covered with tarpaulin or similar material. The cover should extend over the edges of the sides and tailboards.
Wheel washing
· Vehicle wheel washing facilities should be provided at each construction site exit. Immediately before leaving the construction site, every vehicle should be washed to remove any dusty materials from its body and wheels.
Use of vehicles
· The speed of the trucks within the site should be controlled to about 10km/hour in order to reduce adverse dust impacts and secure the safe movement around the site.
· Immediately before leaving the construction site, every vehicle should be washed to remove any dusty materials from its body and wheels.
· Where a vehicle leaving the construction site is carrying a load of dusty materials, the load should be covered entirely by clean impervious sheeting to ensure that the dusty materials do not leak from the vehicle.
Site hoarding
· Where a site boundary adjoins a road, street, service lane or other area accessible to the public, hoarding of not less than 2.4m high from ground level should be provided along the entire length of that portion of the site boundary except for a site entrance or exit.
3.7.1.3 Best Practices for Concrete Batching Plant
It is recommended
that the relevant best practices for dust control as stipulated in the Guidance Note on the Best Practicable Means
for Cement Works (Concrete Batching Plant) BPM 3/2 should also be adopted
to further reduce the construction dust impacts of the Project. These include:
Exhaust from Dust Arrestment Plant
· Wherever possible the final discharge point from particulate matter arrestment plant, where is not necessary to achieve dispersion from residual pollutants, should be at low level to minimise the effect on the local community in the case of abnormal emissions and to facilitate maintenance and inspection
Emission Limits
· All emissions to air, other than steam or water vapour, shall be colourless and free from persistent mist or smoke
Engineering Design/Technical Requirements
· As a general guidance, the loading, unloading, handling and storage of fuel, raw materials, products, wastes or by-products should be carried out in a manner so as to prevent the release of visible dust and/or other noxious or offensive emissions
Detailed mitigation methods and guidance
can be found in the stand-alone EM&A Manual.
3.7.2 Operation Phase – Vehicular and Marine Emissions
Since it has been assessed that all the ASRs would be in compliance with
all the relevant AQOs for SO2, NO2 and RSP, no mitigation
measures for vehicular or marine traffic emissions are required during the
operation phase.
3.7.3
Operation
Phase – Odour Emissions
3.7.3.1
New Yau Ma Tei Typhoon
Shelter
Based on the odour source monitoring and
review results, it has been ascertained that malodour emissions from NYMTTS are
localised at the areas in the vicinity of outfalls from the Cherry Street and
Jordon Road Box Culverts and are mainly due to effluent discharges from these
two Box Culverts. As a result, the most
effective way to mitigate the malodour emissions is to stop or prevent the
effluent discharges from entering the NYMTTS via the two Box Culverts. For this, a review of the government’s existing
and planned measures to improve the water quality of NYMTTS was carried out and
the review results are presented in Appendix
3.36. [MCD4]
According to the review, the following current
measures relevant to NYMTTS have been implemented:
· Installation of dry weather flow interceptors (DWFI) in the stormwater drainage system along the upstream area of NYMTTS;
· Regular inspection by EPD to identify and rectify any misconnections of private building sewers to stormwater drains to avoid discharge of foul water into the NYMTTS, and;
· Regular monitoring of silt levels and desilting for the box culverts that discharge into the NYMTTS by DSD.
In addition, the measures to improve
the interception of effluent discharge into the NYMTTS via the two Box Culverts
are at the planning stage. It is recommended
to implement these improvement measures in order to mitigate the odour
emissions from NYMTTS as detailed below.
Installation of New DWFI for Cherry Street
Box Culvert
As detailed in Appendix 3.33, there are three
existing DWFIs upstream of the Cherry Street Box Culvert, and their
interception efficiencies were found to be in the range of 0.9% to 48.6%.
It has been
recommended as one of the short term measures in the EPD Feasibility Study, 2010[7]
to improve the existing DWFIs. According
to the information provided by DSD, the upgrading works for the three existing
DWFIs upstream of the Cherry Street Box Culvert are included in the project
titled “Upgrading of West Kowloon and Tsuen Wan
Sewerage”. Subject to successful bid for
funding, the construction works of the project are scheduled for commencement
in 2016 and completion in end 2023.
DSD has engaged consultants to conduct an assignment entitled “Agreement No. CE 1/2012 (DS) Construction of Dry Weather Flow Interceptor at Cherry Street Box Culvert and Other Works – Investigation, Design and Construction”, which involves, among other things, the investigation and design of a new DWFI at the outlet of the Cherry Street Box Culvert (see Figure 1 in Appendix 3.36). Based on the information provided by DSD, the consultancy commenced in end August 2012 and subject to successful bid for funding in 2013, the construction work is scheduled to start in early 2014 for completion in second half of 2018.
With the existing DWFIs upgraded and the new DWFI installed, it is anticipated that the efficiency of intercepting effluent discharge into NYMTTS via the Cherry Street Box Culvert can be improved to 80%. As a result, the amount of effluent discharge entering NYMTTS would be reduced by 80%, which would result in reducing the water-bound odour emissions (see Appendix 3.34) from areas in the vicinity of the Box Culvert. Details of the assumptions and estimation are given in Appendix 3.33.
Upgrading/Improvement of Existing DWFIs
Upstream of Jordan Road Box Culvert
As detailed in Appendix 3.33, there are two existing
DWFIs upstream of the Jordan Road Box Culvert that have
been recommended for improvement works under the EPD Feasibility Study, 2010.
While no interception efficiencies were measured for these two DWFIs,
using the best available information for geographically similar DWFI locations
from the Feasibility Study it is
reasonable to assume that the current interception efficiencies of the DWFIs
upstream of Jordan Rd Box Culvert would be similar to the average values of all
other existing DWFI, i.e., 32.4%. According
to the information provided by DSD, the upgrading works for the existing two DWFIs
upstream of the Jordan Road Box Culvert are included in the project titled
“Upgrading of West Kowloon and Tsuen Wan
Sewerage”. Subject to successful bid for
funding, the construction works of the project are scheduled for commencement
in 2016 and completion in end 2023.
With the existing DWFIs upgraded, it is anticipated that the interception efficiency of the two existing DWFI upstream of the Jordon Road Box Culvert can be increased to 80% (Appendix 3.34). As a result, the amount of effluent discharge entering NYMTTS in the vicinity of the Jordan Road Box Culvert would be reduced by about 60.7%, which would result in reducing the water-bound odour emissions from areas in the vicinity of the Box Culvert (Appendix 3.34). More details of the assumptions and estimation are given in Appendix 3.33.
Other potential mitigation measures
Other potential odour mitigation measures
include dredging at the seabed; in-situ bioremediation of marine sediments at
the seabed; improvement in aeration or water circulation within NYMTTS. As marine sediments would only contribute to
a small proportion of the odour emission from NYMTTS (see Appendix 3.26b), it is
anticipated that dredging or bioremediation which is intended to remove or
treat any odorous marine deposit at the seabed, would not be effective measures
for reducing odour emission from NYMTTS.
For the potential measures of aerating water or improving water
circulation inside a typhoon shelter, the former measure will lead to decrease
in water buoyancy while the latter measure will result in increasing water
current flow. The New Yau Ma Tei Public Cargo Working
Area is located on the north-south shoreline of the NYMTTS, which is mainly
used by barges for loading and unloading of cargo. Therefore, both of these measures would
impose potential safety concerns on the loading/unloading operations of barges
using the Cargo Working Area. As a
result, all these potential measures are not effective or feasible for
NYMTTS.
Summary
of Recommended Measures
After review of the government’s existing
and planned mitigation measures as well as the potential measures, it is
recommended to implement the mitigation measures as summarised in Table 3.31.
Table 3.31 Summary of Recommended Odour Mitigation Measures for NYMTTS
Mitigation Measures |
Timeframe |
Proposed Implementation Agent |
Construct a new DWFI at the Cherry Street Box Culvert |
Early 2014 to 2nd half of 2018 (subject to successful bid for funding) |
DSD |
Improve the 3 existing DWFIs upstream of the Cherry Street Box Culvert as part of the project titled “Upgrading of West Kowloon and Tsuen Wan Sewerage” |
2016 to end 2023 (subject to successful bid for funding) |
DSD |
Improve the 2 existing DWFIs upstream of the Jordan Road Box Culvert as part of the project titled “Upgrading of West Kowloon and Tsuen Wan Sewerage” |
2016 to end 2023 (subject to successful bid for funding) |
DSD |
Based on the indicative completion time of
the various facilities within WKCD, only a small portion of the facilities in
WKCD (17% of the total gross floor area) including Xiqu
Phase 1, hotel, office and retail, dining and entertainment (RDE) facilities in
the Park area would tentatively be completed by 2016 whereas majority of the
facilities in WKCD (58% of the total gross floor area), including residential,
offices, hotels and RDE facilities would tentatively be completed in 2018 and
beyond. Therefore, the mitigation
measure of constructing the new DWFI at Cherry Street Box Culvert would be near
completion when majority of the WKCD facilities are in place.
3.7.3.2
Optional
Waste Facility
Should the optional automatic waste collection facility be adopted for the WKCD Project, such facility will be located at basement levels to avoid any potential odour issues. In addition, the odour containment and control measures as detailed in Section 3.6.3.4, where necessary, will be provided.
With the proper location of the optional waste facility and the odour containment and control measures in place to substantially confine and reduce the potential odour emissions at sources, it is anticipated that there would not be significant odour impact on the nearby ASRs.
3.8
Evaluation
of Residual Impacts
It has
been assessed that there would neither be exceedance
of the hourly TSP limit under the Tier
2 mitigated scenario nor exceedance of the AQO for daily
TSP under the Tier 1 mitigated
scenario at any of the ASRs throughout the entire construction
period. Similarly, no exceedance of the AQO for annual TSP was predicted at any of
the ASRs for the entire construction period under the mitigated scenario. Hence, no residual impacts are anticipated during the construction phase.
3.8.2
Operation Phase – Vehicular and Marine Emissions
According to the modelling results, all the identified ASRs would be in
compliance with the corresponding AQO for hourly, daily and annual SO2;
for hourly, daily and annual NO2 as well as for daily and annual
RSP. However, during the worst case year of 2015, four
existing ASRs, namely, WOB-1, VT1-23, SRT-1 and SRT-2, would be subject to exceedance of the AQO for hourly NO2 (i.e., 300 μg/m3) by about 3.7-14.9 μg/m3 (or about 1.2%-5.0%
of the relevant AQO) for once a year, and two planned ASRs, namely,
P09-1 and P37-1, would be subject to marginal exceedance
of the AQO for daily NO2 (i.e., 150 μg/m3) by about 0.2-0.3 μg/m3 (or about 0.1%-0.2% of the relevant AQO) for once a year. Since the numbers of such hourly and daily NO2
exceedances are within the respective allowable
numbers of exceedances (3 times per year for hourly
NO2 and once per year for daily NO2), the AQO for hourly
and daily NO2 would still be complied with at the six ASRs. Hence, no residual impacts are anticipated during
the operation phase due to vehicular and marine emissions.
3.8.3
Operation Phase – Odour Emissions
3.8.3.1
New Yau Ma Tei Typhoon Shelter
With implementation of the proposed odour mitigation measures, it has been assessed that the current odour impacts on WKCD would be reduced by a considerable extent. Nevertheless, the predicted mitigated odour impacts at some of the ASRs within WKCD would still exceed the odour criterion of 5 ou/m3 ASRs under worst case scenario. Therefore, in accordance with EIAO-TM Clause 4.4.3 the predicted residual odour impacts at such WKCD ASRs are assessed as follows:
(i)
Effects on public health and health of biota
or risk to life
In terms of human
health effects of hydrogen sulphide (a key substance contributing to the
malodour emission from NYMTTS), respiratory, neurological, and ocular effects
are the most sensitive end-points in humans following inhalation exposures[8].
There are no adequate data on
carcinogenicity. Exposure of H2S at 2.0 ppm would cause
bronchial constriction in asthmatic individuals; while exposure of 3.6 ppm H2S
would cause increase eye complaints for general population; and exposure of 20
ppm H2S would cause fatigue,
loss of appetite, headache, irritability, poor memory, and dizziness.
Besides, with reference to the Integrated Risk Information System (IRIS)
of USEPA, the reference concentration of H2S for chronic inhalation
exposure to human population without an appreciable risk of deleterious effects
during a lifetime is 2 x 10-3 mg/m3 (or 0.00142 ppm).
With reference to the measured ambient H2S concentrations (Table 3.26), the maximum ambient H2S concentration
within the entire NYMTTS area is 1.367ppm, whereas the ambient concentrations in the grids bordering
the WKCD are below the
detection limit of 0.003ppm. With air dispersion effects, it is
anticipated that the H2S concentrations within the WKCD site would
be even lower than such levels measured within
NYMTTS. The anticipated ambient H2S levels within the WKCD site would therefore be well below the
threshold concentration for H2S of 2.0 ppm which has adverse health
symptom on asthmatic individuals.
Subject to the extent of air dispersion which largely depends on wind directions, the ambient H2S concentrations within WKCD may be above the reference chronic inhalation exposure concentration (RfC) of 0.00142 ppm as stipulated in the USEPA IRIS. If people are consistently exposed to H2S concentrations over the RfC on a daily basis for the course of their life, some detrimental effects may occur. Although the ambient H2S levels within WKCD may exceed the RfC, the exceedance, if any, would only be expected to occur when wind is blowing from high emission grids in NYMTTS to WKCD, i.e., roughly from the directions between north-west and north-east. According to the windroses for WKCD in 2010 as extracted from the PATH (see Graph 3.1), wind blowing from such directions would occur for approximately 20% of the year. Therefore, it is expected that the planned ASRs within WKCD would not be subject to adverse human health impact from potential exposure to H2S.
(ii) The
magnitude of adverse environmental impacts
The predicted worst-case odour
concentrations at the ASRs under all assessed scenarios are summarized in Table 3.27
and are also tabulated in Appendix 3.35. The predicted maximum residual odour impacts under mitigated scenarios A or B range from 1.5 to 8.9 ou/m3
for residential ASRs and from 1.2 to 13.7 ou/m3
for non-residential ASRs (i.e., potential fresh air intake locations). Residential ASRs are expected to exceed the
odour criterion for up to 33 hours per year (or up to 0.4% of the time in a
year) and non-residential ASRs for up to 213 hours per year (or up to 2.4% of
the time in a year).
(iii) Geographic
extent of the adverse environmental impacts
The modelling results for mitigated scenarios
A or B show that 2 to 21 of the 65 planned residential ASRs within WKCD (see Figure 3.1b)
are expected to exceed the 5 ou/m3
criterion. For non-residential ASRs
(i.e., potential fresh air intake locations), 60 to 351 of the 473 planned
receivers within WKCD are expected to exceed the odour criterion.
(iv) Duration
and frequency of the adverse environmental impacts
The duration and frequency of exceedance of odour criterion at the ASRs under the assessed scenarios are tabulated in Appendix 3.35. Under the mitigated scenario A or B, exceedances of the odour criterion are predicted to occur for up to 33 hours per year for residential ASRs (or up to 0.4% of the time in a year), and up to 213 hours per year (or up to 2.4% of the time in a year) for non-residential ASRs (i.e., potential fresh air intake locations).
(v)
Likely size of the community or the environment
that may be affected by the adverse impacts
As indicated in Section 3.6.3.3, with the implementation of proposed odour mitigation measures, the
odour concentrations in the WKCD would be reduced as compared with the current
scenario. However, exceedances of the odour criterion
are still predicted at a number of ASRs
under the mitigated scenarios. Yet the modelling
results indicate that the worst-case odour impacts would more likely occur at ASRs near the
ground level.
(vi) Degree
to which the adverse environmental impacts are reversible or irreversible
The existing odour nuisance from the NYMTTS will be alleviated with the implementation of the odour mitigation measures proposed.
(vii) Ecological
context
The predicted exceedance would not involve any ecological context.
(viii) Degree
of disruption to sites of cultural heritage
The predicted exceedance
would not involve any cultural heritage context.
(ix) International
and regional importance
The predicted exceedance would not involve any international and regional importance.
(x)
Likelihood and degree of uncertainty of
adverse environmental impacts
Odour
Sampling
The degree of certainty of the predicted
odour impacts depends on the accuracy of the estimated odour emission rates and
the air dispersion modelling. The number of air samples collected as well as
the intrinsic limitations of the air sampling technique and the olfactometry analysis would also affect the accuracy of
odour emission rate estimation.
Given that the odour monitoring and review were carried out in a limited number of days, the measured odour
concentrations were obtained under worst case conditions with the monitoring exercise carried out on typical hot days in the summer season of 2012 with
low tide and high air temperatures (over 30°C). It is believed that the estimated odour
emission rates are reasonable worst case conditions.
Odour
Concentration
It is expected odour emissions from NYMTTS
in winter time would be smaller due to lower sea temperatures. Therefore the
actual rate of exceedance during the current or
mitigated scenarios would be lower than the predicted values.
Variation in the odour emission rate could be expected due to tidal variation,
that is, at high tide the relative dilution of the water
entering from the box culverts would increase. A variation in
the OER would also be expected during rainfall periods, due to the dilution and
mixing of the stormwater.
In the odour modelling, however, the same
set of OER obtained, based on the odour monitoring results
on typical hot days was adopted for 24 hours a day and 365 days a
year. Therefore, it is considered that the
actual extent and frequency of odour exceedance
during both the current and mitigated scenarios would be lower than those
predicted by the modelling exercise.
Laboratory
Methods
Air sampling is an important step in the
process of measuring the odour concentrations of the sources; it would affect
the quality and reliability of the results.
All the odour sampling was carried out by the HOKLAS accredited laboratories. The potential error associated with odour
sampling process is considered to be on the low side.
It should be noted that all the odour
concentrations (in ou/m3) and hence area
source emission rates (in ou/m2/s) were
measured by olfactometry analysis carried out at HOKLAS accredited laboratories. The odour concentrations were determined by using dynamic olfactometry, according to the European Standard Method BS
EN13725:2003.
The European Standard Method specifies a
method for the objective determination of the odour concentration of a gaseous
sample using dynamic olfactometry with human
assessors. The detection limit for this European Standard Method is 10 ou/m3. Yet the detection limit of this European Standard Method could vary between
laboratories. Therefore, in reviewing the odour concentration results (in ou/m3), it should be noted that a measured low odour concentration value
would normally has a higher degree of error due to the inherent properties of
the olfactometry analysis method.
Odour Chemistry/Interaction
Odours
from different sources can undergo various phenomena, one of which is masking,
whereby the presence of one odour can disguise, or mask, the presence of a
second. Different odorants may also interact. This can cause interactive or
‘synergistic’ effects, such that the sum of the odorants may be either greater
than or less than the intensity of the odour components. In practice, odours
from significantly different sources and with different characters are usually
neither additive nor synergistic, but instead one source tends to dominate, or
mask, the presence of the other. Sea-water has a neutral tone and is generally
considered to be non-offensive, and is assumed to be masked by the presence of odorous
substances such as H2S.
Model
Restrictions
Dispersion models assume a conservation of
mass of contaminants, that is the odour intensity of a mixture of two different
odorous sources are considered to be additive. Odour modelling is not able to
predict synergistic or masking effects, and to that effect, modelling a
pleasant, neutral and/or offensive odour source in parallel would produce one
overall ‘odour’ intensity, which would not be representative of, the different
hedonic tones of the individual odours, the relative decrease in intensity of
the individual odours or the potential for one odour to mask the other.
Conservative
Model Results
It should be noted that the odour modelling
results are considered conservative for a number of reasons as follows:
·
It is expected odour emissions from NYMTTS in night time or non-summer months would be smaller due to lower sea
temperatures and hence slower rate of odour release from anaerobic digestion
and fermentation of organic matters and therefore the actual rate of exceedance during the current or mitigated scenarios would be lower than the model results. According
to the “Baseline Odour Sampling Report –
Executive Summary” completed for the Kai Tak
Development project, odour monitoring was carried out to determine the baseline
odour emissions from the water surface of the Kai Tak
Approach Channel (KTAC) in March 2010 , August 2010 and February 2011 before
any implementation of the improvement works.
The OERs obtained in the three months showed substantial seasonal
variations. In particular, the OERs
obtained at two sampling locations at northern KTAC in March 2010 and February
2011 (non-summer months) were roughly 7% to 20% of the OERs measured in August
2010 (a summer month);;
·
The odour complaints in the previous 7 years as shown in Table
3.8
are low, which also suggests a considerable amount of conservatism within the
modelling results, therefore the actual rate of exceedance
during the current scenario is expected to be lower than the model results; and
·
Variation in the odour emission rate could be expected due to tidal
variation, that is, at high tide
the water available for dilution of the stormwater is
increased, which would be expected to
dilute the odour emission rate. A variation in the OER would also be expected
during rainfall periods, due to the dilution and mixing of the stormwater, therefore the actual rate of exceedance during the current scenario would be lower than the model results.
As shown in Table 3.28 to
Table 3.30, the exceedance of the odour criterion would
not occur at any residential ASRs during day-time throughout a year, but would
only occasionally happen during night-time (not more than 0.7% of the time in a
month). It should be noted that the OERs
at night-time would be lower than those at day-time due to the generally cooler
water at night, and hence the odour exceedance at
night-time is expected to be even lower than the predicted values in the Tables.
For
non-residential ASRs, there would only be occasional exceedance
of the odour criterion at day-time in January, October and December only (not
more than 0.8% of the time in a month). While the predicted maximum odour exceedance percentages for non-residential ASRs during the
night-time in February, March, April, October, November and December appear to
be relatively higher than those in other months, these months are not in summer
with generally lower water temperatures.
Therefore, it is anticipated that the odour concentrations or exceedance percentages for the non-residential ASRs in these
non-summer months would be lower than the predicted values in Table 3.28 to Table 3.30.
While the mitigated odour modelling results show a number of ASRs to be in exceedance of the 5 ou/m3 criterion, it is important to note that WKCD does not contribute to the odour emitted from NYMTTS.
Considering
all the aforementioned information, the predicted residual effects from odour
under the mitigated scenarios can be considered to be very conservative and hence
the actual residual odour impacts would likely be much lower than the predicted
results.
3.8.3.2
Optional
Waste Facilities
With the proper locations of the optional waste facility (i.e., automatic waste collection facility) and the odour containment and control measures in place to substantially confine and reduce the potential odour emissions at sources, it is anticipated that there would not be significant odour impact on the nearby ASRs.
3.9 Environmental Monitoring and Audit
Regular dust monitoring is considered necessary during the construction phase of the Project and regular site audits are also required to ensure the dust control measures are properly implemented. Details of the environmental monitoring and audit (EM&A) programme will be presented in the stand-alone EM&A Manual.
Since it has been assessed that all the ASRs would be in compliance with all the relevant AQOs for SO2, NO2 and RSP, no residual air quality impacts due to vehicular or marine traffic emissions are anticipated. Therefore, no monitoring is considered necessary for vehicular or marine traffic emissions.
For the monitoring of odour emission, it is proposed to carry out monthly odour patrol during summer seasons (from July to September) for at least two years. The key purposes of the odour monitoring are to ascertain the effectiveness of the proposed improvement measures for NYMTTS over time, and to monitor any on-going odour impacts at the ASRs within WKCD. If residual odour impact is still found at the end of the odour monitoring programme, further investigation would be carried out to review the odour problem and to identify the parties responsible for further remedial action.
3.10.1 Construction Phase
With
implementation of the recommended mitigation measures as well as the relevant
control requirements as stipulated in the Air
Pollution Control (Construction Dust) Regulation and EPD’s Guidance Note on the Best Practicable Means
for Cement Works (Concrete Batching Plant) BPM 3/2(93), it has been
assessed that there would neither be exceedance
of the hourly TSP limit under the Tier
2 mitigated scenario nor exceedance of the AQO for daily
TSP under the Tier 1 mitigated
scenario at any of the ASRs throughout the entire construction period. For annual TSP results, no exceedance of the corresponding AQO was predicted at any of
the ASRs during the construction phase provided the recommended mitigation
measures are in place.
3.10.2 Operation Phase
Vehicle and Marine Emissions
Majority of the vehicular emission sources
and all marine emission sources are due to respectively the nearby current/planned
road networks serving the West Kowloon area and the existing marine activities
in the surrounding waters, but not due to the WKCD development itself. Therefore, the WKCD Project alone would only
have very minor contribution to the predicted air quality impacts at the ASRs.
According to the modelling results, all the identified ASRs would be in
compliance with the corresponding AQO for hourly, daily and annual SO2;
for hourly, daily and annual NO2 as well as for daily and annual
RSP. However, during the worst case year of 2015, four
existing ASRs, namely, WOB-1, VT1-23, SRT-1 and SRT-2, would be subject to exceedance of the AQO for hourly NO2 (i.e., 300 μg/m3) by about 3.7-14.9 μg/m3 (or about 1.2%-5.0%
of the relevant AQO) for once a year, and two planned ASRs, namely,
P09-1 and P37-1, would be subject to marginal exceedance
of the AQO for daily NO2 (i.e., 150 μg/m3) by about 0.2-0.3 μg/m3 (or about 0.1%-0.2% of the relevant AQO) for once a year. Since the numbers of such hourly and daily NO2
exceedances are within the respective allowable
numbers of exceedances (3 times per year for hourly
NO2 and once per year for daily NO2), the AQO for hourly
and daily NO2 would still be complied with at the six ASRs.
In conclusion, no adverse air quality impacts due to vehicular or marine traffic emissions are anticipated during the operation phase of the WKCD Project.
Odour
Emissions from NYMTTS
With the recommended improvement measures for NYMTTS in place, it is predicted that the potential odour impacts on all the ASRs within WKCD would be reduced to 1.5 - 8.9 ou/m3 for residential ASRs and to 1.2 -13.7 ou/m3 for non-residential ASRs. Residential ASRs refer to those ASRs that have been planned for residential uses whereas non-residential ASRs refer to those that have been planned for such non-residential uses as offices, retails, hotels, performance venues, open space, etc. Under the mitigated scenarios, the predicted numbers of times of exceeding the odour criterion in a year would be up to 33 hours per year (or up to 0.4% of the time in a year) and 213 hours per year (or up to 2.4% of the time in a year) for residential ASRs and non-residential ASRs respectively.
Potential residual odour impacts are predicted at 2 to 21 of the 65 residential ASRs as well as at 60 to 351 of the 473 non-residential ASRs under the mitigated scenarios. Nevertheless, the potential residual impacts have been assessed to be acceptable in view of the nature, magnitude, duration and frequency of the impacts as well as the conservative odour modelling results. It is particularly important to note that WKCD does not contribute to the odour emitted from NYMTTS.
Odour
Emissions from Optional Waste Facilities
With the proper locations of the optional waste facility (i.e., automatic waste collection facility) and the odour containment and control measures in place to substantially confine and reduce the potential odour emissions at sources, it is anticipated that there would not be significant odour impact on the nearby ASRs.
[1] http://www.epd.gov.hk/epd/english/environmentinhk/air/data/files/2011HKEIReport.pdf
[2] http://www.epd-asg.gov.hk/english/report/files/AQR2011e_final.pdf
[3] http://www.epd-asg.gov.hk/english/report/files/AQR2012_prelim_en.pdf
[4] Good Practice Guide for Atmospheric Dispersion Modelling. Ministry for the Environment, New
Zealand (June 2004)
[5] Starcrest Consulting Group, LLC, 2009. Rubber Tired Gantry (RTG) Crane Load Factor Study. Poulsbo: Starcrest Consulting Group, LLC.
[6] Ministry for the Environment, 2003. Good Practice Guide for Assessing and Managing Odour in New Zealand. Wellington: Ministry for the Environment.
[7] EPD, 2010. Review of West Kowloon and Tsuen Wan Sewerage Master Plans – Feasibility Study http://www.epd.gov.hk/epd/english/environmentinhk/water/studyrpts/twwk_final_rpt.html
[8]World Health Organization, 2003. Concise International
Chemical Document 53, Hydrogen Sulfide: Human Health Aspects.