Literature DB >> 28024753

Local and regional contributions to fine particulate matter in Beijing during heavy haze episodes.

Yangjun Wang1, Shengwei Bao1, Shuxiao Wang2, Yongtao Hu3, Xiang Shi1, Jiandong Wang4, Bin Zhao4, Jingkun Jiang4, Mei Zheng5, Minghong Wu1, Armistead G Russell3, Yuhang Wang6, Jiming Hao4.   

Abstract

In order to alleviate extreme haze pollution, understanding the origin of fine particulate matter (PM2.5) is crucial. In this study, we applied Particulate Matter Source Apportionment Technology (PSAT) in CAMx (Comprehensive Air Quality Model with Extensions) to quantify the impacts of emissions from different regions on PM2.5 concentrations in Beijing for haze episodes during January 6-23, 2013. Emission inventory was developed by Tsinghua University. Evolution of local and Regional contributions during local and non-local dominated haze episodes were discussed, separately. In the meanwhile, average contribution of other every city in Jing-Jin-Ji region to PM2.5 concentrations larger than 75μgm-3 in Beijing urban for each range of local contribution percent was analyzed. The results indicate that local emissions contributed 83.6% of PM2.5 at the urban center of Beijing, while regional transport from surrounding cities and parts of Shandong, Henan and Anhui provinces contributed 9.4%; long-range transport contributed the remaining 7.0% mainly from areas >750km away to the south of Beijing during this study period. Compared to non-local-dominated haze episodes, local-dominated heavy haze episodes in Beijing were easily resulted from unfavorable meteorological conditions with much lower PBL and wind velocity. Furthermore, local contribution is more easily to cause a sharp increase or sharp reduction of PM2.5 concentration in central Beijing, reflecting that Beijing local has much stronger potential to form extremely heavy haze episodes. The results indicated that controlling local emissions is a much more important measure to alleviate the extreme haze episodes in Beijing, like that on the night of Jan 12, 2013. Furthermore, emission control in Jing-Jin-Ji region, especially in Tangshan, Tianjin, Baoding, Langfang, Shijiazhuang and Cangzhou, as well as Henan and Shandong province, are important to reduce the PM2.5 concentrations and the occurrence of haze episodes in Beijing.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Beijing; CAMx; PM(2.5); Source apportionment

Year:  2016        PMID: 28024753     DOI: 10.1016/j.scitotenv.2016.12.127

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


  2 in total

1.  Nonlinear influence of winter meteorology and precursor on PM2.5 based on mathematical and numerical models: A COVID-19 and Winter Olympics case study.

Authors:  Wang Xiaoqi; Duan Wenjiao; Zhu Jiaxian; Wei Wei; Cheng Shuiyuan; Mao Shushuai
Journal:  Atmos Environ (1994)       Date:  2022-03-23       Impact factor: 5.755

2.  High Temporal Resolution Land Use Regression Models with POI Characteristics of the PM2.5 Distribution in Beijing, China.

Authors:  Yan Zhang; Hongguang Cheng; Di Huang; Chunbao Fu
Journal:  Int J Environ Res Public Health       Date:  2021-06-07       Impact factor: 3.390

  2 in total

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