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DOI10.1021/acs.est.7b01975
Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique
Xing, Jia1; Wang, Shuxiao1; Zhao, Bin1,4,5; Wu, Wenjing1; Ding, Dian1; Jang, Carey2; Zhu, Yun3; Chang, Xing1; Wang, Jiandong1,6; Zhang, Fenfen1; Hao, Jiming1
发表日期2017-10-17
ISSN0013-936X
卷号51期号:20页码:11788-11798
英文摘要

Tropospheric ozone (O-3) and fine particles (PM2.5) come from both local and regional emissions sources. Due to the nonlinearity in the response of O-3 and PM2.5 to their precursors, contributions from multiregional sources are challenging to quantify. Here we developed an updated extended response surface modeling technique (ERSMv2.0) to address this challenge. Multiregional contributions were estimated as the sum of three components: (1) the impacts of local chemistry on the formation of the pollutant associated with the change in its precursor levels at the receptor region; (2) regional transport of the pollutant from the source region to the receptor region; and (3) interregional effects among multiple regions, representing the impacts on the contribution from one source region by other source regions. Three components were quantified individually in the case study of Beijing-Tianjin-Hebei using the ERSMv2.0 model. For PM2.5 in most cases, the contribution from local chemistry (i.e., component 1) is greater than the contribution from regional transport (i.e., component 2). However, regional transport is more important for O-3. For both O-3 and PM2.5, the contribution from regional sources increases during high-pollution episodes, suggesting the importance of joint controls on regional sources for reducing the heavy air pollution.


语种英语
WOS记录号WOS:000413391800034
来源期刊ENVIRONMENTAL SCIENCE & TECHNOLOGY
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/61065
作者单位1.Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China;
2.US EPA, Res Triangle Pk, NC 27711 USA;
3.South China Univ Technol, Coll Environm Sci & Engn, Guangzhou Higher Educ Mega Ctr, Guangzhou, Guangdong, Peoples R China;
4.Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA 90095 USA;
5.Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA;
6.Max Planck Inst Chem, Hahn Meitner Weg 1, D-55128 Mainz, Germany
推荐引用方式
GB/T 7714
Xing, Jia,Wang, Shuxiao,Zhao, Bin,et al. Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique[J]. 美国环保署,2017,51(20):11788-11798.
APA Xing, Jia.,Wang, Shuxiao.,Zhao, Bin.,Wu, Wenjing.,Ding, Dian.,...&Hao, Jiming.(2017).Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique.ENVIRONMENTAL SCIENCE & TECHNOLOGY,51(20),11788-11798.
MLA Xing, Jia,et al."Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique".ENVIRONMENTAL SCIENCE & TECHNOLOGY 51.20(2017):11788-11798.
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