Literature DB >> 33279022

Characteristics of PM2.5 pollution in Beijing after the improvement of air quality.

Xiaojuan Huang1, Guiqian Tang2, Junke Zhang3, Baoxian Liu4, Chao Liu5, Jin Zhang5, Leilei Cong5, Mengtian Cheng6, Guangxuan Yan7, Wenkang Gao6, Yinghong Wang6, Yuesi Wang6.   

Abstract

Following the implementation of the strictest clean air policies to date in Beijing, the physicochemical characteristics and sources of PM2.5 have changed over the past few years. To improve pollution reduction policies and subsequent air quality further, it is necessary to explore the changes in PM2.5 over time. In this study, over one year (2017-2018) field study based on filter sampling (TH-150C; Wuhan Tianhong, China) was conducted in Fengtai District, Beijing, revealed that the annual average PM2.5 concentration (64.8 ± 43.1 μg/m3) was significantly lower than in previous years and the highest PM2.5 concentration occurred in spring (84.4 ± 59.9 μg/m3). Secondary nitrate was the largest source and accounted for 25.7% of the measured PM2.5. Vehicular emission, the second largest source (17.6%), deserves more attention when considering the increase in the number of motor vehicles and its contribution to gaseous pollutants. In addition, the contribution from coal combustion to PM2.5 decreased significantly. During weekends, the contribution from EC and NO3- increased whereas the contributions from SO42-, OM, and trace elements decreased, compared with weekdays. During the period of residential heating, PM2.5 mass decreased by 23.1%, compared with non-heating period, while the contributions from coal combustion and vehicular emission, and related species increased. With the aggravation of pollution, the contribution of vehicular emission and secondary sulfate increased and then decreased, while the contribution of NO3- and secondary nitrate continued to increase, and accounted for 34.0% and 57.5% of the PM2.5 during the heavily polluted days, respectively.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Chemical composition; PM(2.5); Pollution evolution; Seasonal variations; Source apportionment

Year:  2020        PMID: 33279022     DOI: 10.1016/j.jes.2020.06.004

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  5 in total

1.  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

2.  Urban air quality changes resulting from the lockdown period due to the COVID-19 pandemic.

Authors:  D Galán-Madruga
Journal:  Int J Environ Sci Technol (Tehran)       Date:  2022-08-20       Impact factor: 3.519

3.  Impact of Air Pollution on the Ocular Surface and Tear Cytokine Levels: A Multicenter Prospective Cohort Study.

Authors:  Ran Hao; Mingzhou Zhang; Liming Zhao; Yang Liu; Min Sun; Jing Dong; Yanhui Xu; Feng Wu; Jinwen Wei; Xiangyang Xin; Zhongping Luo; Shuxuan Lv; Xuemin Li
Journal:  Front Med (Lausanne)       Date:  2022-07-06

4.  The Association Between Short-Term Air Pollution Exposure and Post-Adolescent Acne: The Evidence from a Time Series Analysis in Xi'an, China.

Authors:  Xiang Li; Shu-Jie An; Xiao-Ling Liu; Ai-Ling Ji; Yi Cao; Ying Xiang; Xiang-Yu Ma; Qin Hu; Zhi-Quan Yuan; Ya-Fei Li; Yuan-Gang Lu; Tong-Jian Cai
Journal:  Clin Cosmet Investig Dermatol       Date:  2021-06-25

5.  Characteristics of fine particulate matter (PM2.5) at Jinsha Site Museum, Chengdu, China.

Authors:  Jialin Deng; Luman Jiang; Wenwen Miao; Junke Zhang; Guiming Dong; Ke Liu; Juncheng Chen; Tong Peng; Yao Fu; Yunpei Zhou; Xue Huang; Mengqian Hu; Fang Wang; Lin Xiao
Journal:  Environ Sci Pollut Res Int       Date:  2021-08-04       Impact factor: 4.223

  5 in total

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