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

被引:15
|
作者
Xiaojuan Huang [1 ]
Guiqian Tang [2 ]
Junke Zhang [3 ]
Baoxian Liu [4 ]
Chao Liu [5 ]
Jin Zhang [5 ]
Leilei Cong [5 ]
Mengtian Cheng [2 ]
Guangxuan Yan [6 ]
Wenkang Gao [2 ]
Yinghong Wang [2 ]
Yuesi Wang [2 ]
机构
[1] Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences,Chengdu University of Information Technology
[2] State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences
[3] Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University
[4] Beijing Municipal Environmental Monitoring Centre
[5] Fengtai District Ecology and Environment Bureau
[6] School of Environment, Henan Normal University, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
X513 [粒状污染物];
学科分类号
0706 ; 070602 ;
摘要
Following the implementation of the strictest clean air policies to date in Beijing, the physicochemical characteristics and sources of PM2.5have changed over the past few years. To improve pollution reduction policies and subsequent air quality further, it is necessary to explore the changes in PM2.5over time. In this study, over one year(2017–2018) field study based on filter sampling(TH-150 C; Wuhan Tianhong, China) was conducted in Fengtai District, Beijing, revealed that the annual average PM2.5concentration(64.8 ± 43.1 μg/m 3) was significantly lower than in previous years and the highest PM2.5concentration occurred in spring(84.4 ± 59.9 μg/m 3). 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 PM2.5decreased significantly. During weekends, the contribution from EC and NO 3-increased whereas the contributions from SO42-, OM, and trace elements decreased, compared with weekdays. During the period of residential heating, PM2.5mass 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 NO 3-and secondary nitrate continued to increase, and accounted for 34.0% and 57.5% of the PM2.5during the heavily polluted days, respectively.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 50 条
  • [21] Definition and characteristics of PM2.5 background concentration in Beijing
    Ma, Zhi-Qiang
    Xu, Jing
    Zhang, Xiao-Ling
    Yin, Xiao-Hui
    He, Yun
    Shi, Xue-Feng
    Zhongguo Huanjing Kexue/China Environmental Science, 2015, 35 (01): : 7 - 12
  • [22] The characteristics of carbonaceous species and their sources in PM2.5 in Beijing
    Dan, M
    Zhuang, GS
    Li, XX
    Tao, HR
    Zhuang, YH
    ATMOSPHERIC ENVIRONMENT, 2004, 38 (21) : 3443 - 3452
  • [23] Characteristics of Carbonaceous Species in PM2.5 in Southern Beijing
    Dong G.-M.
    Tang G.-Q.
    Zhang J.-K.
    Liu Q.
    Yan G.-X.
    Cheng M.-T.
    Gao W.-K.
    Wang Y.-H.
    Wang Y.-S.
    Huanjing Kexue/Environmental Science, 2020, 41 (10): : 4374 - 4381
  • [24] Scavenging effect of rime and east wind on PM2.5 under air heavy pollution in Beijing
    Sun Z.-B.
    Liao X.-N.
    Wang Z.-S.
    Li Z.-M.
    Zhao X.-J.
    Hua C.
    1600, Science Press (37): : 3679 - 3685
  • [25] Association of Cardiovascular Responses in Mice with Source-apportioned PM2.5 Air Pollution in Beijing
    Maciejczyk, Polina
    Jin, Lan
    Hwang, Jing-Shiang
    Guo, Xinbiao
    Zhong, Mianhua
    Thurston, George
    Qu, Qingshan
    Zhang, Junfeng
    Sun, Qinghua
    Chen, Lung-Chi
    AEROSOL AND AIR QUALITY RESEARCH, 2018, 18 (07) : 1839 - 1852
  • [26] Forecasting air pollution PM2.5 in Beijing using weather data and multiple kernel learning
    Xu, Xiang
    JOURNAL OF FORECASTING, 2020, 39 (02) : 117 - 125
  • [27] Air Quality and Chronic Stress A Representative Study of Air Pollution (PM2.5, PM10) in Germany
    Petrowski, Katja
    Bastianon, Christina Diane
    Buehrer, Stefan
    Braehler, Elmar
    JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, 2019, 61 (02) : 144 - 147
  • [28] PM2.5 air pollution contributes to the burden of frailty
    Wei-Ju Lee
    Ching-Yi Liu
    Li-Ning Peng
    Chi-Hung Lin
    Hui-Ping Lin
    Liang-Kung Chen
    Scientific Reports, 10
  • [29] Disparities in PM2.5 air pollution in the United States
    Colmer, Jonathan
    Hardman, Ian
    Shimshack, Jay
    Voorheis, John
    SCIENCE, 2020, 369 (6503) : 575 - +
  • [30] PM2.5 air pollution contributes to the burden of frailty
    Lee, Wei-Ju
    Liu, Ching-Yi
    Peng, Li-Ning
    Lin, Chi-Hung
    Lin, Hui-Ping
    Chen, Liang-Kung
    SCIENTIFIC REPORTS, 2020, 10 (01)