Literature DB >> 28891287

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

Jia Xing1, Shuxiao Wang1, Bin Zhao1,2, Wenjing Wu1, Dian Ding1, Carey Jang3, Yun Zhu4, Xing Chang1, Jiandong Wang1,5, Fenfen Zhang1, Jiming Hao1.   

Abstract

Tropospheric ozone (O3) and fine particles (PM2.5) come from both local and regional emissions sources. Due to the nonlinearity in the response of O3 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 O3. For both O3 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.

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Year:  2017        PMID: 28891287     DOI: 10.1021/acs.est.7b01975

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  9 in total

1.  Least-cost control strategy optimization for air quality attainment of Beijing-Tianjin-Hebei region in China.

Authors:  Jia Xing; Fenfen Zhang; Yang Zhou; Shuxiao Wang; Dian Ding; Carey Jang; Yun Zhu; Jiming Hao
Journal:  J Environ Manage       Date:  2019-05-28       Impact factor: 6.789

2.  Nonlinear relationships between air pollutant emissions and PM2.5-related health impacts in the Beijing-Tianjin-Hebei region.

Authors:  Bin Zhao; Shuxiao Wang; Dian Ding; Wenjing Wu; Xing Chang; Jiandong Wang; Jia Xing; Carey Jang; Joshua S Fu; Yun Zhu; Mei Zheng; Yu Gu
Journal:  Sci Total Environ       Date:  2019-01-16       Impact factor: 7.963

3.  Large-scale optimization of multi-pollutant control strategies in the Pearl River Delta region of China using a genetic algorithm in machine learning.

Authors:  Jinying Huang; Yun Zhu; James T Kelly; Carey Jang; Shuxiao Wang; Jia Xing; Pen-Chi Chiang; Shaojia Fan; Xuetao Zhao; Lian Yu
Journal:  Sci Total Environ       Date:  2020-03-06       Impact factor: 7.963

4.  Deep Learning for Prediction of the Air Quality Response to Emission Changes.

Authors:  Jia Xing; Shuxin Zheng; Dian Ding; James T Kelly; Shuxiao Wang; Siwei Li; Tao Qin; Mingyuan Ma; Zhaoxin Dong; Carey Jang; Yun Zhu; Haotian Zheng; Lu Ren; Tie-Yan Liu; Jiming Hao
Journal:  Environ Sci Technol       Date:  2020-07-01       Impact factor: 9.028

5.  Quantification of the enhancement of PM2.5 concentration by the downward transport of ozone from the stratosphere.

Authors:  Lei Chen; Jia Xing; Rohit Mathur; Shuchang Liu; Shuxiao Wang; Jiming Hao
Journal:  Chemosphere       Date:  2020-04-30       Impact factor: 7.086

6.  Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model.

Authors:  James T Kelly; Carey Jang; Yun Zhu; Shicheng Long; Jia Xing; Shuxiao Wang; Benjamin N Murphy; Havala O T Pye
Journal:  Atmosphere (Basel)       Date:  2021-08-14       Impact factor: 3.110

7.  Development and application of observable response indicators for design of an effective ozone and fine particle pollution control strategy in China.

Authors:  Jia Xing; Dian Ding; Shuxiao Wang; Zhaoxin Dong; James T Kelly; Carey Jang; Yun Zhu; Jiming Hao
Journal:  Atmos Chem Phys       Date:  2019       Impact factor: 6.133

8.  Gasification of coal and biomass as a net carbon-negative power source for environment-friendly electricity generation in China.

Authors:  Xi Lu; Liang Cao; Haikun Wang; Wei Peng; Jia Xing; Shuxiao Wang; Siyi Cai; Bo Shen; Qing Yang; Chris P Nielsen; Michael B McElroy
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-08       Impact factor: 11.205

9.  The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2.

Authors:  Benjamin N Murphy; Christopher G Nolte; Fahim Sidi; Jesse O Bash; K Wyat Appel; Carey Jang; Daiwen Kang; James Kelly; Rohit Mathur; Sergey Napelenok; George Pouliot; Havala O T Pye
Journal:  Geosci Model Dev       Date:  2021-06-07       Impact factor: 6.892

  9 in total

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