Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique

被引：76

作者：

Xing, Jia ^{[1
]}

Wang, Shuxiao ^{[1
]}

Zhao, Bin ^{[1
,4
,5
]}

Wu, Wenjing ^{[1
]}

Ding, Dian ^{[1
]}

Jang, Carey ^{[2
]}

Zhu, Yun ^{[3
]}

Chang, Xing ^{[1
]}

Wang, Jiandong ^{[1
,6
]}

Zhang, Fenfen ^{[1
]}

Hao, Jiming ^{[1
]}

机构：

[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

来源：

ENVIRONMENTAL SCIENCE & TECHNOLOGY | 2017年 / 51卷 / 20期

基金：

美国国家科学基金会;

关键词：

SOURCE APPORTIONMENT; AIR-POLLUTION; EMISSIONS; CHINA;

D O I：

10.1021/acs.est.7b01975

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

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.

引用

页码：11788 / 11798

页数：11

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