Articles | Volume 21, issue 17
https://doi.org/10.5194/acp-21-12895-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-12895-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Sep 2021
Research article |
| 01 Sep 2021
| 01 Sep 2021
Development of a new emission reallocation method for industrial sources in China
Department of Geography, University of Hong Kong, Hong Kong SAR, China
Chi Chiu Cheung
ClusterTech Limited, Hong Kong SAR, China
Xuguo Zhang
Institute for the Environment, Hong Kong University of Science and
Technology, Hong Kong SAR, China
Joshua S. Fu
Department of Civil and Environmental Engineering, University of
Tennessee, Knoxville, USA
Jimmy Chi Hung Fung
Institute for the Environment, Hong Kong University of Science and
Technology, Hong Kong SAR, China
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Cited articles
Athanasopoulou, E., Tombrou, M., Pandis, S. N., and Russell, A. G.: The role of sea-salt emissions and heterogeneous chemistry in the air quality of polluted coastal areas, Atmos. Chem. Phys., 8, 5755–5769, https://doi.org/10.5194/acp-8-5755-2008, 2008.
Chen, L., Gao, Y., Zhang, M., Fu, J. S., Zhu, J., Liao, H., Li, J., Huang, K., Ge, B., Wang, X., Lam, Y. F., Lin, C.-Y., Itahashi, S., Nagashima, T., Kajino, M., Yamaji, K., Wang, Z., and Kurokawa, J.: MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia, Atmos. Chem. Phys., 19, 11911–11937, https://doi.org/10.5194/acp-19-11911-2019, 2019.
Cui, H., Chen, W., Dai, W., Liu, H., Wang, X., and He, K.: Source
apportionment of PM2.5 in Guangzhou combining observation data analysis and
chemical transport model simulation, Atmos. Environ., 116, 262–271,
https://doi.org/10.1016/j.atmosenv.2015.06.054, 2015.
Du, Y.: New Consolidation of Emission and Processing for Air Quality Modeling Assessment in Asia, Master thesis, Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA, 2008.
ECCC: Canada–United States Air Quality Agreement: progress report 2016,
Environment and Climate Change Canada, Gatineau, QC, Canada, 2017.
Giglio, L., Randerson, J. T., and van der Werf, G. R.: Analysis of daily,
monthly, and annual burned area using the fourth-generation global fire
emissions database (GFED4), J. Geophys. Res.-Biogeo.,
118, 317–328, https://doi.org/10.1002/jgrg.20042, 2013.
Giuliano, G. and Small, K. A.: Is the Journey to Work Explained by Urban
Structure?, Urban Studies, 30, 1485–1500, https://doi.org/10.1080/00420989320081461, 1993.
HKEPD: Regional Air Quality Modelling System (PATH) – Feasibility Study,
ENVIRON Hong Kong Limited, Hong Kong SAR, China, 2011.
HKEPD: Guangdong-Hong Kong-Macao Pearl River Delta Regional Air Quality Monitoring Network: A Report of Monitoring Results in 2015, Environmental Protection Department, Hong Kong SAR, China, 2016.
HKEPD: Air Quality Objectives (AQO) Review Working Group – Annex C Air
Science and Health Sub-group, Hong Kong Environmental Protection Department, Hong Kong SAR, China, 2019.
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Dentener, F., Muntean, M., Pouliot, G., Keating, T., Zhang, Q., Kurokawa, J., Wankmüller, R., Denier van der Gon, H., Kuenen, J. J. P., Klimont, Z., Frost, G., Darras, S., Koffi, B., and Li, M.: HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution, Atmos. Chem. Phys., 15, 11411–11432, https://doi.org/10.5194/acp-15-11411-2015, 2015.
Krzyzanowski, J.: The Importance of Policy in Emissions Inventory
Accuracy – A Lesson from British Columbia, Canada, J. Air Waste Manage. Assoc., 59, 430–439, https://doi.org/10.3155/1047-3289.59.4.430, 2009.
Kurokawa, J., Ohara, T., Morikawa, T., Hanayama, S., Janssens-Maenhout, G., Fukui, T., Kawashima, K., and Akimoto, H.: Emissions of air pollutants and greenhouse gases over Asian regions during 2000–2008: Regional Emission inventory in ASia (REAS) version 2, Atmos. Chem. Phys., 13, 11019–11058, https://doi.org/10.5194/acp-13-11019-2013, 2013.
Lam, Y. F. and Fu, J. S.: Corrigendum to “A novel downscaling technique for the linkage of global and regional air quality modeling” published in Atmos. Chem. Phys., 9, 9169–9185, 2009, Atmos. Chem. Phys., 10, 4013–4031, https://doi.org/10.5194/acp-10-4013-2010, 2010.
Lam, Y.-F., Davis, W. T., Miller, T. L., and Fu, J. S.: System enhancement
of title V permit reviews and point source inventories, Proceedings of the
A&WMA's 97th Annual Conference & Exhibition, 22–25 June 2004, Indianapolis, IN, USA, 1673–1679, 2004.
Lam, Y. F., Cheung, H. M., and Ying, C. C.: Impact of tropical cyclone track
change on regional air quality, Sci. Total Environ., 610–611, 1347–1355, https://doi.org/10.1016/j.scitotenv.2017.08.100, 2018.
Li, M., Zhang, Q., Kurokawa, J.-I., Woo, J.-H., He, K., Lu, Z., Ohara, T., Song, Y., Streets, D. G., Carmichael, G. R., Cheng, Y., Hong, C., Huo, H., Jiang, X., Kang, S., Liu, F., Su, H., and Zheng, B.: MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP, Atmos. Chem. Phys., 17, 935–963, https://doi.org/10.5194/acp-17-935-2017, 2017.
Li, M., Zhang, Q., Zheng, B., Tong, D., Lei, Y., Liu, F., Hong, C., Kang, S., Yan, L., Zhang, Y., Bo, Y., Su, H., Cheng, Y., and He, K.: Persistent growth of anthropogenic non-methane volatile organic compound (NMVOC) emissions in China during 1990–2017: drivers, speciation and ozone formation potential, Atmos. Chem. Phys., 19, 8897–8913, https://doi.org/10.5194/acp-19-8897-2019, 2019.
Liu, S. H., Li, X. B., and Zhang, M.: Scenario Analysis on Urbanization and
Rural – Urban Migration in China, Institute of Geographic Sciences and
Natural Resources Research, Chinese Academy of Sciences, Beijing, China, 2003.
Ng, S. K. W., Lin, C., Chan, J. W. M., Yip, A. C. K., Lau, A. K. H., and
Fung, J. C. H.: Study on Marine Vessels Emission Inventory, The
Environmental Protection Department The HKSAR Government, Hong Kong SAR, China, 2012.
Ohara, T., Akimoto, H., Kurokawa, J., Horii, N., Yamaji, K., Yan, X., and Hayasaka, T.: An Asian emission inventory of anthropogenic emission sources for the period 1980–2020, Atmos. Chem. Phys., 7, 4419–4444, https://doi.org/10.5194/acp-7-4419-2007, 2007.
Streets, D. G., Bond, T. C., Carmichael, G. R., Fernandes, S. D., Fu, Q.,
He, D., Klimont, Z., Nelson, S. M., Tsai, N. Y., Wang, M. Q., Woo, J.-H.,
and Yarber, K. F.: An inventory of gaseous and primary aerosol emissions in
Asia in the year 2000, J. Geophys. Res.-Atmos., 108, 8809, https://doi.org/10.1029/2002jd003093, 2003.
Tan, J., Fu, J. S., Dentener, F., Sun, J., Emmons, L., Tilmes, S., Sudo, K., Flemming, J., Jonson, J. E., Gravel, S., Bian, H., Davila, Y., Henze, D. K., Lund, M. T., Kucsera, T., Takemura, T., and Keating, T.: Multi-model study of HTAP II on sulfur and nitrogen deposition, Atmos. Chem. Phys., 18, 6847–6866, https://doi.org/10.5194/acp-18-6847-2018, 2018.
Yang, J.: Transportation Implications of Land Development in a Transitional
Economy: Evidence from Housing Relocation in Beijing, Transp. Res.
Record, 1954, 7–14, https://doi.org/10.1177/0361198106195400102, 2006.
Zhang, X.: Numerical Model Sensitivity Analysis and the Three-dimensional Variational Data Fusion Approach for Optimizing Air Quality Modeling, PhD thesis, Division of Environment and sustainability, Hong Kong University of Science and Technology, Hong Kong SAR, China, 2020.
Zhang, X., Fung, J. C. H., Zhang, Y., Lau, A. K. H., Leung, K. K. M., and
Huang, W.: Assessing PM2.5 emissions in 2020: The impacts of integrated
emission control policies in China, Environ. Pollut., 263,
114575–114575, https://doi.org/10.1016/j.envpol.2020.114575, 2020.
Zhang, X., Fung, J. C. H., Lau, A. K. H., Hossain, M. S., Louie, P. K. K.,
and Huang, W.: Air quality and synergistic health effects of ozone and
nitrogen oxides in response to China's integrated air quality control
policies during 2015–2019, Chemosphere, 268, 129385, https://doi.org/10.1016/j.chemosphere.2020.129385, 2021.
Zhao, S., Bi, X., Zhong, Y., and Li, L.: Chinese Industrial Park Planning
Strategies Informed by American Edge Cities' Development Path – Case Study
of China (Chongzuo)-Thailand Industrial Park, Procedia Engineer., 180,
832–840, https://doi.org/10.1016/j.proeng.2017.04.244, 2017.
Zhao, Y., Qiu, L. P., Xu, R. Y., Xie, F. J., Zhang, Q., Yu, Y. Y., Nielsen, C. P., Qin, H. X., Wang, H. K., Wu, X. C., Li, W. Q., and Zhang, J.: Advantages of a city-scale emission inventory for urban air quality research and policy: the case of Nanjing, a typical industrial city in the Yangtze River Delta, China, Atmos. Chem. Phys., 15, 12623–12644, https://doi.org/10.5194/acp-15-12623-2015, 2015.
Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X., Peng, L., Qi, J., Yan, L., Zhang, Y., Zhao, H., Zheng, Y., He, K., and Zhang, Q.: Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions, Atmos. Chem. Phys., 18, 14095–14111, https://doi.org/10.5194/acp-18-14095-2018, 2018.
Short summary
In recent years, air pollution forecasting has become an important municipal service of the government. In this study, a new spatial allocation method based on satellite remote sensing and GIS techniques was developed to address the spatial deficiency of industrial source emissions in China, providing a substantial improvement on NO2 and PM2.5 forecast for the Pearl River Delta/Greater Bay Area.
In recent years, air pollution forecasting has become an important municipal service of the...
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