Modeled changes in source contributions of particulate matter during the COVID-19 pandemic in the Yangtze River Delta, China

被引:29
作者
Ma, Jinlong [1 ]
Shen, Juanyong [2 ]
Wang, Peng [3 ]
Zhu, Shengqiang [1 ]
Wang, Yu [1 ]
Wang, Pengfei [4 ]
Wang, Gehui [5 ,6 ]
Chen, Jianmin [1 ,6 ]
Zhang, Hongliang [1 ,6 ]
机构
[1] Fudan Univ, Fudan Tyndall Ctr, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, Shanghai 200240, Peoples R China
[3] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong 99907, Peoples R China
[4] Louisiana State Univ, Dept Civil & Environm Engn, Baton Rouge, LA 70803 USA
[5] East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
[6] East China Normal Univ, Inst Ecochongming IEC, Shanghai 200062, Peoples R China
关键词
SOURCE APPORTIONMENT; CHEMICAL-CHARACTERIZATION; PM2.5; NITRATE; AIR-POLLUTION; EMISSIONS; TRANSPORT; INSIGHTS; CRITERIA; SULFATE; AEROSOL;
D O I
10.5194/acp-21-7343-2021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Within a short time after the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, Hubei, the Chinese government introduced a nationwide lockdown to prevent the spread of the pandemic. The quarantine measures have significantly decreased the anthropogenic activities, thus improving air quality. To study the impacts caused by the lockdown on specific source sectors and regions in the Yangtze River Delta (YRD), the Community Multiscale Air Quality (CMAQ) model was used to investigate the changes in source contributions to fine particulate matter (PM2.5) from 23 January to 28 February 2020, based on different emission control cases. Compared to case 1 (without emission reductions), the total PM2.5 mass for case 2 (with emission reductions) decreased by more than 20% over the entire YRD, and the reduction ratios of its components were 15 %, 16 %, 20 %, 43 %, 34 %, and 35% in primary organic aerosol (POA), elemental carbon (EC), sulfate, nitrate, ammonium, and secondary organic aerosol (SOA), respectively. The source apportionment results showed that PM2.5 concentrations from transportation decreased by 40 %, while PM2.5 concentrations from the residential and power sectors decreased by less than 10% due to the lockdown. Although all sources decreased, the relative contribution changed differently. Contributions from the residential sector increased by more than 10% to 35 %, while those in the industrial sector decreased by 33 %. Considering regional transport, the total PM2.5 mass of all regions decreased 20%-30% in the YRD, with the largest decreased value of 5.0 mu gm(-3) in Henan, Hebei, Beijing, and Tianjin (Ha-BTH). In Shanghai, the lower contributions from local emissions and regional transmission (mainly Shandong and Ha-BTH) led to the reduced PM2.5. This study suggests adjustments of control measures for various sources and regions.
引用
收藏
页码:7343 / 7355
页数:13
相关论文
共 56 条
[1]   PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models [J].
Boylan, James W. ;
Russell, Armistead G. .
ATMOSPHERIC ENVIRONMENT, 2006, 40 (26) :4946-4959
[2]   The impact of the "Air Pollution Prevention and Control Action Plan" on PM2.5 concentrations in Jing-Jin-Ji region during 2012-2020 [J].
Cai, Siyi ;
Wang, Yangjun ;
Zhao, Bin ;
Wang, Shuxiao ;
Chang, Xing ;
Hao, Jiming .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 580 :197-209
[3]   CMAQ Model Performance Enhanced When In-Cloud Secondary Organic Aerosol is Included: Comparisons of Organic Carbon Predictions with Measurements [J].
Carlton, Annmarie G. ;
Turpin, Barbara J. ;
Altieri, Katye E. ;
Seitzinger, Sybil P. ;
Mathur, Rohit ;
Roselle, Shawn J. ;
Weber, Rodney J. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2008, 42 (23) :8798-8802
[4]   Development of revised SAPRC aromatics mechanisms [J].
Carter, William P. L. ;
Heo, Gookyoung .
ATMOSPHERIC ENVIRONMENT, 2013, 77 :404-414
[5]   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
[6]   Decline in PM2.5 concentrations over major cities around the world associated with COVID-19 [J].
Chauhan, Akshansha ;
Singh, Ramesh P. .
ENVIRONMENTAL RESEARCH, 2020, 187
[7]   The impact of ship emissions on PM2.5 and the deposition of nitrogen and sulfur in Yangtze River Delta, China [J].
Chen, Dongsheng ;
Tian, Xiaolei ;
Lang, Jianlei ;
Zhou, Ying ;
Li, Yue ;
Guo, Xiurui ;
Wang, Wenlin ;
Liu, Bo .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 649 :1609-1619
[8]   Impact of quarantine measures on chemical compositions of PM2.5 during the COVID-19 epidemic in Shanghai, China [J].
Chen, Hui ;
Huo, Juntao ;
Fu, Qingyan ;
Duan, Yusen ;
Xiao, Hang ;
Chen, Jianmin .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 743 :140758
[9]  
Choi M.W., 2019, ATMOSPHERE-BASEL, V10, P618, DOI DOI 10.3390/atmos10100618
[10]   Chemical Characterization and Source Apportionment of PM2.5 during Spring and Winter in the Yangtze River Delta, China [J].
Du, Wenjiao ;
Zhang, Yanru ;
Chen, Yanting ;
Xu, Lingling ;
Chen, Jinsheng ;
Deng, Junjun ;
Hong, Youwei ;
Xiao, Hang .
AEROSOL AND AIR QUALITY RESEARCH, 2017, 17 (09) :2165-2180