Literature DB >> 27453134

Relative impact of emissions controls and meteorology on air pollution mitigation associated with the Asia-Pacific Economic Cooperation (APEC) conference in Beijing, China.

Yuqin Wang1, Yang Zhang1, James Jay Schauer2, Benjamin de Foy3, Bo Guo4, Yuanxun Zhang5.   

Abstract

The Beijing government and its surrounding provinces implemented a series of measures to ensure haze-free skies during the 22(nd) Asia-Pacific Economic Cooperation (APEC) conference (November 10(th)-11(th), 2014). These measures included restrictions on traffic, construction, and industrial activity. Twelve hour measurements of the concentration and composition of ambient fine particulate matter (PM2.5) were performed for 5 consecutive months near the APEC conference site before (September 11(th)-November 2(nd), 2014), during (November 3(rd)-12(th), 2014) and after (November 13(th), 2014-January 31(st), 2015). The measurements are used in a positive matrix factorization model to determine the contributions from seven sources of PM2.5: secondary aerosols, traffic exhaust, industrial emission, road dust, soil dust, biomass burning and residual oil combustion. The source apportionment results are integrated with backward trajectory analysis using Weather Research and Forecast (WRF) meteorological simulations, which determine the relative influence of new regulation and meteorology upon improved air quality during the APEC conference. Data show that controls are very effective, but meteorology must be taken into account to determine the actual influence of the controls on pollution reduction. The industry source control is the most effective for reducing concentrations, followed by secondary aerosol and biomass controls, while the least effective control is for the residual oil combustion source. The largest reductions in concentrations occur when air mass transport is from the west-northwest (Ulanqab). Secondary aerosol and traffic exhaust reductions are most significant for air mass transport from the north-northwest (Xilingele League) origin, and least significant for northeast transport (Chifeng via Tangshan conditions). The largest reductions of soil dust, biomass burning, and industrial source are distinctly seen for Ulanqab conditions and least distinct for Xilingele League.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  APEC; Control measures; Meteorology; PM(2.5); PMF; Source apportionment

Mesh:

Substances:

Year:  2016        PMID: 27453134     DOI: 10.1016/j.scitotenv.2016.06.215

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  11 in total

1.  Distribution, seasonal variation and inhalation risks of polychlorinated dibenzo-p-dioxins and dibenzofurans, polychlorinated biphenyls and polybrominated diphenyl ethers in the atmosphere of Beijing, China.

Authors:  Yanfen Hao; Yingming Li; Thanh Wang; Yongbiao Hu; Huizhong Sun; Julius Matsiko; Shucheng Zheng; Pu Wang; Qinghua Zhang
Journal:  Environ Geochem Health       Date:  2017-04-26       Impact factor: 4.609

2.  Effects of air pollution control measures on air quality improvement in Guangzhou, China.

Authors:  Meifang Yu; Yun Zhu; Che-Jen Lin; Shuxiao Wang; Jia Xing; Carey Jang; Jizhang Huang; Jinying Huang; Jiangbo Jin; Lian Yu
Journal:  J Environ Manage       Date:  2019-05-20       Impact factor: 6.789

3.  Source apportionments of PM2.5 organic carbon during the elevated pollution episodes in the Ordos region, Inner Mongolia, China.

Authors:  Reza Bashiri Khuzestani; James J Schauer; Jing Shang; Tianqi Cai; Dongqing Fang; Yongjie Wei; Lulu Zhang; Yuanxun Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-28       Impact factor: 4.223

4.  Efficiency of Emission Control Measures on Particulate Matter-Related Health Impacts and Economic Cost during the 2014 Asia-Pacific Economic Cooperation Meeting in Beijing.

Authors:  Qichen Liu; Jing Huang; Bin Guo; Xinbiao Guo
Journal:  Int J Environ Res Public Health       Date:  2016-12-28       Impact factor: 3.390

5.  Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak.

Authors:  Mengmeng Li; Tijian Wang; Min Xie; Shu Li; Bingliang Zhuang; Qingyan Fu; Ming Zhao; Hao Wu; Jane Liu; Eri Saikawa; Kuo Liao
Journal:  Atmos Environ (1994)       Date:  2020-11-25       Impact factor: 4.798

6.  Characterization of the aerosol chemical composition during the COVID-19 lockdown period in Suzhou in the Yangtze River Delta, China.

Authors:  Honglei Wang; Qing Miao; Lijuan Shen; Qian Yang; Yezheng Wu; Heng Wei; Yan Yin; Tianliang Zhao; Bin Zhu; Wen Lu
Journal:  J Environ Sci (China)       Date:  2020-09-22       Impact factor: 5.565

7.  The Effects of Fireworks Discharge on Atmospheric PM2.5 Concentration in the Chinese Lunar New Year.

Authors:  Xuechen Zhang; Huanfeng Shen; Tongwen Li; Liangpei Zhang
Journal:  Int J Environ Res Public Health       Date:  2020-12-13       Impact factor: 3.390

8.  Have traffic restrictions improved air quality? A shock from COVID-19.

Authors:  Zhongfei Chen; Xinyue Hao; Xiaoyu Zhang; Fanglin Chen
Journal:  J Clean Prod       Date:  2020-08-13       Impact factor: 9.297

9.  Examining the Impacts of Urban Form on Air Pollution in Developing Countries: A Case Study of China's Megacities.

Authors:  Chunshan Zhou; Shijie Li; Shaojian Wang
Journal:  Int J Environ Res Public Health       Date:  2018-07-24       Impact factor: 3.390

10.  Competing PM2.5 and NO2 holiday effects in the Beijing area vary locally due to differences in residential coal burning and traffic patterns.

Authors:  Jinxi Hua; Yuanxun Zhang; Benjamin de Foy; Xiaodong Mei; Jing Shang; Chuan Feng
Journal:  Sci Total Environ       Date:  2020-08-11       Impact factor: 7.963

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