globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2019.117026
论文题名:
Mapping ozone source-receptor relationship and apportioning the health impact in the Pearl River Delta region using adjoint sensitivity analysis
作者: Wang M.Y.; Yim S.H.L.; Dong G.H.; Ho K.F.; Wong D.C.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 222
语种: 英语
英文关键词: Air quality ; Emission control ; Health ; Nitrogen oxides ; Ozone ; Population statistics ; Sensitivity analysis ; Volatile organic compounds ; Adjoint sensitivity analysis ; Background compositions ; Fine particulate matter ; Health impact assessment ; Pearl River Delta region ; Source apportionment ; Source-receptor relationships ; Volatile organic compound (VOC) ; Quality control ; nitrogen oxide ; ozone ; volatile organic compound ; assessment method ; background level ; concentration (composition) ; health impact ; mapping method ; ozone ; particulate matter ; pollutant source ; sensitivity analysis ; source apportionment ; air pollution ; air pollution control ; air quality ; controlled study ; health impact assessment ; human ; particulate matter ; photochemical smog ; population density ; premature mortality ; priority journal ; seasonal variation ; sensitivity analysis ; uncertainty ; China ; Guangdong ; Shenzhen ; Zhujiang Delta
学科: Adjoint sensitivity analysis ; Health impact assessment ; Ozone ; Source apportionment
中文摘要: While fine particulate matters are decreasing in the Pearl River Delta (PRD) region, the regional ozone (O3) shows an increasing trend that affects human health, leading to an urgent need for scientific understanding of source–receptor relationship between O3 and its precursor emissions given the changing background composition. We advanced and applied an adjoint air quality model to map contributions of individual O3 precursor emission sources [nitrogen oxides (NOx) and volatile organic compound (VOC)] at each location to annual regional O3 concentrations and to identify the possible dominant influential pathways of emission sources to O3 at different spatiotemporal scales. Additionally, we introduced the novel adjoint sensitivity approach to assess the relationship between precursor emissions and O3-induced premature mortality. Adjoint results show that Shenzhen was a major source contributor to regional O3 throughout all seasons, of which 49.4% (3.8%) were from its NOx (VOC) emissions. Local emissions (within PRD) contributed to 83% of the regional O3 whereas only ~54% of the estimated ~4000 regional O3-induced premature mortalities. The discrepancy between these two contributions was because O3-induced mortalities are dependent on not only O3 concentration, but incident rate and population density. We also found that a city with low O3–induced mortalities could have significant emission contributions to health impact in the region since the transport pathways could be through transport of local O3 or through transport of O3 precursors that form regional O3 thereafter. It is therefore necessary to formulate emission control policies from both air quality and public health perspectives, and it is also critical to have better understanding of influential pathways of emission sources to O3. © 2019 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/161053
Appears in Collections:气候变化与战略

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作者单位: Department of Geography and Resource Management, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong, Hong Kong; Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong, Hong Kong; Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong, Hong Kong; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong, Hong Kong; Computational Exposure Division, National Exposure Research Laboratory, US Environmental Protection Agency, United States

Recommended Citation:
Wang M.Y.,Yim S.H.L.,Dong G.H.,et al. Mapping ozone source-receptor relationship and apportioning the health impact in the Pearl River Delta region using adjoint sensitivity analysis[J]. Atmospheric Environment,2020-01-01,222
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