Persistent high PM2.5 pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China

被引:41
作者
Sulaymon, Ishaq Dimeji [1 ]
Zhang, Yuanxun [1 ,2 ]
Hopke, Philip K. [3 ,4 ]
Hu, Jianlin [5 ]
Zhang, Yang [1 ]
Li, Lin [5 ]
Mei, Xiaodong [1 ]
Gong, Kangjia [5 ]
Shi, Zhihao [5 ]
Zhao, Bin [6 ]
Zhao, Fangxin [1 ]
机构
[1] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[2] Chinese Acad Sci, CAS Ctr Excellence Reg Atmospher Environm, Xiamen 361021, Peoples R China
[3] Clarkson Univ, Ctr Air Resources Engn & Sci, Potsdam, NY 13699 USA
[4] Univ Rochester, Sch Med & Dent, Dept Publ Hlth Sci, Rochester, NY 14642 USA
[5] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equip, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing 210044, Peoples R China
[6] Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99352 USA
基金
中国国家自然科学基金;
关键词
COVID-19; Reduced anthropogenic emission; Prolonged heavy haze; Meteorology; WRF-CMAQ; Beijing-Tianjin-Hebei region; PARTICULATE MATTER; SOURCE APPORTIONMENT; AIR-POLLUTANTS; INTER-CITY; TRANSPORT; EMISSIONS; SULFATE; CITIES; MODEL; INVENTORY;
D O I
10.1016/j.envres.2021.111186
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Lockdown measures to curtail the COVID-19 pandemic in China halted most non-essential activities on January 23, 2020. Despite significant reductions in anthropogenic emissions, the Beijing-Tianjin-Hebei (BTH) region still experienced high air pollution concentrations. Employing two emissions reduction scenarios, the Community Multiscale Air Quality (CMAQ) model was used to investigate the PM2.5 concentrations change in this region. The model using the scenario (C3) with greater traffic reductions performed better compared to the observed PM2.5. Compared with the no reductions base-case (scenario C1), PM2.5 reductions with scenario C3 were 2.70, 2.53, 2.90, 2.98, 3.30, 2.81, 2.82, 2.98, 2.68, and 2.83 mu g/m3 in Beijing, Tianjin, Shijiazhuang, Baoding, Cangzhou, Chengde, Handan, Hengshui, Tangshan, and Xingtai, respectively. During high-pollution days in scenario C3, the percentage reductions in PM2.5 concentrations in Beijing, Tianjin, Shijiazhuang, Baoding, Cangzhou, Chengde, Handan, Hengshui, Tangshan, and Xingtai were 3.76, 3.54, 3.28, 3.22, 3.57, 3.56, 3.47, 6.10, 3.61, and 3.67%, respectively. However, significant increases caused by unfavorable meteorological conditions counteracted the emissions reduction effects resulting in high air pollution in BTH region during the lockdown period. This study shows that effective air pollution control strategies incorporating these results are urgently required in BTH to avoid severe pollution.
引用
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页数:10
相关论文
共 59 条
[1]  
[Anonymous], 2007, Guidance on the use of models and other analyses for demonstrating attainment of air quality goals for ozone
[2]   Contributions of inter-city and regional transport to PM2.5 concentrations in the Beijing-Tianjin-Hebei region and its implications on regional joint air pollution control [J].
Chang, Xing ;
Wang, Shuxiao ;
Zhao, Bin ;
Xing, Jia ;
Liu, Xiangxue ;
Wei, Lin ;
Song, Yu ;
Wu, Wenjing ;
Cai, Siyi ;
Zheng, Haotian ;
Ding, Dian ;
Zheng, Mei .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 660 :1191-1200
[3]   Assessment of inter-city transport of particulate matter in the Beijing-Tianjin-Hebei region [J].
Chang, Xing ;
Wang, Shuxiao ;
Zhao, Bin ;
Cai, Siyi ;
Hao, Jiming .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (07) :4843-4858
[4]   Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records [J].
Chen, Huijun ;
Guo, Juanjuan ;
Wang, Chen ;
Luo, Fan ;
Yu, Xuechen ;
Zhang, Wei ;
Li, Jiafu ;
Zhao, Dongchi ;
Xu, Dan ;
Gong, Qing ;
Liao, Jing ;
Yang, Huixia ;
Hou, Wei ;
Zhang, Yuanzhen .
LANCET, 2020, 395 (10226) :809-815
[5]   Meteorological influences on PM2.5 and O3 trends and associated health burden since China's clean air actions [J].
Chen, Lei ;
Zhu, Jia ;
Liao, Hong ;
Yang, Yang ;
Yue, Xu .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 744
[6]  
[程念亮 Cheng Nianliang], 2016, [中国科学院大学学报, Journal of University of Chinese Academy of Sciences], V33, P834
[7]  
China State Council, 2020, NEW CORONAVIRUS DIS
[8]  
CRAES, 2020, EXPERTS INTERPRETATI
[9]   The Association between Respiratory Infection and Air Pollution in the Setting of Air Quality Policy and Economic Change [J].
Croft, Daniel P. ;
Zhang, Wangjian ;
Lin, Shao ;
Thurston, Sally W. ;
Hopke, Philip K. ;
Masiol, Mauro ;
Squizzato, Stefania ;
van Wijngaarden, Edwin ;
Utell, Mark J. ;
Rich, David Q. .
ANNALS OF THE AMERICAN THORACIC SOCIETY, 2019, 16 (03) :321-330
[10]   Dispersion Normalized PMF Provides Insights into the Significant Changes in Source Contributions to PM2.5 after the COVID-19 Outbreak [J].
Dai, Qili ;
Liu, Baoshuang ;
Bi, Xiaohui ;
Wu, Jianhui ;
Liang, Danni ;
Zhang, Yufen ;
Feng, Yinchang ;
Hopke, Philip K. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (16) :9917-9927