Source-receptor relationships for PM2.5 during typical pollution episodes in the Pearl River Delta city cluster, China

被引:30
作者
Liu, Yiming [1 ,2 ]
Hong, Yingying [3 ]
Fan, Qi [1 ,2 ]
Wang, Xuemei [1 ]
Chan, Pakwai [4 ]
Chen, Xiaoyang [1 ,2 ]
Lai, Anqi [1 ,2 ]
Wang, Mingjie [5 ]
Chen, Xunlai [5 ]
机构
[1] Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou 510275, Guangdong, Peoples R China
[2] Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou 510275, Guangdong, Peoples R China
[3] Guangdong Ecol Meteorol Ctr, Guangzhou 510640, Guangdong, Peoples R China
[4] Hong Kong Observ, Hong Kong 999077, Hong Kong, Peoples R China
[5] Shenzhen Key Lab Severe Weather South China, Shenzhen 518040, Peoples R China
关键词
PM2.5; Regional transport; Source-receptor relationships; Contribution; WRF-Chem; FINE PARTICULATE MATTER; REGIONAL AIR-QUALITY; SOURCE APPORTIONMENT; HONG-KONG; PART I; MODEL; EMISSIONS; IMPACT; PARAMETERIZATION; SIMULATIONS;
D O I
10.1016/j.scitotenv.2017.03.255
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Located in the Southern China monsoon region, pollution days in Pearl River Delta (PRD) were classified into "Western type", "Central type" or "Eastern type", with a relative percentage of 67%, 24% and 9%, respectively. Using this classification system, three typical pollution events were selected for numerical simulations using the WRF-Chem model. The source sensitivity method for anthropogenic emissions of PM2.5 and its precursors was applied to identify the source-receptor relationships for PM2.5 among 9 cities in PRD. For " Western type" case, the PRD region was under control of a high-pressure system with easterly prevailing winds. The PM2.5 concentrations in thewestern PRD regionwere higher than those in the eastern region, with emissions fromcities in the eastern PRD region having higher contributions. Within the PRD's urban cluster, PM2.5 in Huizhou, Dongguan and Shenzhen was mainly derived from local emissions, whereas the PM2.5 in the other cities was primarily derived from external transport. For " Eastern type" case, the PRD was influenced by Typhoon Soulik with westerly prevailing winds. Emissions from cities in the western PRD region had the highest impacts on the overall PM2.5 concentration. PM2.5 in Jiangmen and Foshan was primarily derived from local emissions. Regarding " Central type" case, the PRD region was under control of a uniform pressure field with low wind speed. PM2.5 concentrations of each city were primarily caused by local emissions. Overall, wind flows played a significant role in the transport and spatial distribution of PM2.5 across the PRD region. Ideally, local governments would be wise to establish joint prevention and control measures to reduce regional atmospheric pollution, especially for "Western type" pollution. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:194 / 206
页数:13
相关论文
共 49 条
[1]   Source apportionment of fine particulate matter over the Eastern U.S. Part II: source apportionment simulations using CAMx/PSAT and comparisons with CMAQ source sensitivity simulations [J].
Burr, Michael J. ;
Zhang, Yang .
ATMOSPHERIC POLLUTION RESEARCH, 2011, 2 (03) :318-336
[2]   Source apportionment of fine particulate matter over the Eastern U.S. Part I: source sensitivity simulations using CMAQ with the Brute Force method [J].
Burr, Michael J. ;
Zhang, Yang .
ATMOSPHERIC POLLUTION RESEARCH, 2011, 2 (03) :300-317
[3]   Review of the governing equations, computational algorithms, and other components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system [J].
Byun, Daewon ;
Schere, Kenneth L. .
APPLIED MECHANICS REVIEWS, 2006, 59 (1-6) :51-77
[4]   Air pollution in mega cities in China [J].
Chan, Chak K. ;
Yao, Xiaohong .
ATMOSPHERIC ENVIRONMENT, 2008, 42 (01) :1-42
[5]   A two-year study of carbonaceous aerosols in ambient PM2.5 at a regional background site for western Yangtze River Delta, China [J].
Chen, Dong ;
Cui, Hongfei ;
Zhao, Yu ;
Yin, Lina ;
Lu, Yan ;
Wang, Qingeng .
ATMOSPHERIC RESEARCH, 2017, 183 :351-361
[6]  
Chen F, 2001, MON WEATHER REV, V129, P569, DOI 10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO
[7]  
2
[8]  
Chou MD, 1998, J CLIMATE, V11, P202, DOI 10.1175/1520-0442(1998)011<0202:PFCOAS>2.0.CO
[9]  
2
[10]  
ENVIRON International Corporation, 2016, US GUID COMPR AIR QU