PM2.5-Bound Heavy Metals in Southwestern China: Characterization, Sources, and Health Risks

被引:29
作者
Han, Yan [1 ]
Wang, Zhichao [1 ]
Zhou, Jiawei [1 ]
Che, Hanxiong [1 ]
Tian, Mi [2 ]
Wang, Huanbo [3 ]
Shi, Guangming [4 ]
Yang, Fumo [4 ]
Zhang, Shumin [5 ]
Chen, Yang [1 ]
机构
[1] Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Res Ctr Atmospher Environm, Chongqing 400714, Peoples R China
[2] Chongqing Univ, Sch Urban Construct & Environm Engn, Chongqing 400044, Peoples R China
[3] Southwest Univ Sci & Technol, Sch Environm & Resource, Mianyang 621010, Sichuan, Peoples R China
[4] Sichuan Univ, Coll Architecture & Environm, Chengdu 610065, Peoples R China
[5] North Sichuan Med Coll, Sch Basic Med Sci, Nanchong 637000, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2; 5; heavy metal; health risk sources; air pollution; MATRIX FACTORIZATION ANALYSIS; PM2.5 SOURCE PROFILES; SOURCE APPORTIONMENT; CHEMICAL PROFILES; FUGITIVE DUST; AEROSOL; EMISSIONS; DEPOSITION; SPECIATION; INVENTORY;
D O I
10.3390/atmos12070929
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The health risks of PM2.5-bound heavy metals have attracted extensive attention recently. In order to evaluate those deleterious effects on human health more accurately, and to propose proper measures to reduce health risks of air pollution, the conduction of a source-specific health risk assessment is necessary. Based on daily collected PM2.5 samples at different functional sites during winter 2019 in a megacity Chongqing, China, combining source apportionment results from PMF and health risk assessment from the U.S. EPA, the source-specific health risks from PM2.5-bound heavy metals were given. Six types of PM2.5 sources have been identified, coal burning (25.5%), motor vehicles (22.8%), industrial emissions (20.5%), biomass burning (15.9%), dust (7.8%), and ship emissions (7.5%). Results showed that the total hazard quotient (HQ) was 0.32 and the total carcinogenic risks (CR) were 2.09 x 10(-6) for children and 8.36 x 10(-6) for adults, implying certain risks for local residents. Industrial emissions related with Cr posed both the highest carcinogenic risk and noncarcinogenic risk (contributing 25% CR and 36% HQ). Coal combustion (associated with Cr, As, and Mn) contributed 15.46% CR and 20.64% HQ, while biomass burning and motor vehicles shared 19.99% and 19.05% of the total CR, respectively. This work indicated that health risks of air pollution sources were the combined effects of the source contribution and chemical components. In order to control the health risks of PM2.5 to the local residents, the priority of targeted emission sources should be adopted for industrial emissions, biomass burning, vehicle emissions, and coal combustion sources.
引用
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页数:13
相关论文
共 53 条
[1]   Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization [J].
Amato, Fulvio ;
Hopke, Philip K. .
ATMOSPHERIC ENVIRONMENT, 2012, 46 :329-337
[2]  
[Anonymous], Treasury Financial Manual, V1
[3]   Characteristics of the main primary source profiles of particulate matter across China from 1987 to 2017 [J].
Bi, Xiaohui ;
Dai, Qili ;
Wu, Jianhui ;
Zhang, Qing ;
Zhang, Wenhui ;
Luo, Ruixue ;
Cheng, Yuan ;
Zhang, Jiaying ;
Wang, Lu ;
Yu, Zhuojun ;
Zhang, Yufen ;
Tian, Yingze ;
Feng, Yinchang .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (05) :3223-3243
[4]  
[陈源 Chen Yuan], 2017, [环境科学学报, Acta Scientiae Circumstantiae], V37, P2420
[5]   Characterization and Source Identification of Heavy Metals in Ambient PM10 and PM2.5 in an Integrated Iron and Steel Industry Zone Compared with a Background Site [J].
Dai, Qi-Li ;
Bi, Xiao-Hui ;
Wu, Jian-Hui ;
Zhang, Yu-Fen ;
Wang, Jing ;
Xu, Hong ;
Yao, Lin ;
Jiao, Li ;
Feng, Yin-Chang .
AEROSOL AND AIR QUALITY RESEARCH, 2015, 15 (03) :875-887
[6]   Characteristics of atmospheric carbonyls during haze days in Beijing, China [J].
Duan, Jingchun ;
Guo, Songjun ;
Tan, Jihua ;
Wang, Shulan ;
Chai, Fahe .
ATMOSPHERIC RESEARCH, 2012, 114 :17-27
[7]   Seasonal variations, source apportionment, and health risk assessment of trace metals in PM2.5 in the typical industrial city of changzhi, China [J].
Duan, Xiaolin ;
Yan, Yulong ;
Li, Rumei ;
Deng, Mengjie ;
Hu, Dongmei ;
Peng, Lin .
ATMOSPHERIC POLLUTION RESEARCH, 2021, 12 (02) :365-374
[8]   Chemical profiles of PM emitted from the iron and steel industry in northern China [J].
Guo, Yangyang ;
Gao, Xiang ;
Zhu, Tingyu ;
Luo, Lei ;
Zheng, Yang .
ATMOSPHERIC ENVIRONMENT, 2017, 150 :187-197
[9]   山西省能源转型发展的现状、困境与突破 [J].
韩芸 .
煤炭经济研究, 2019, 39 (09) :68-74
[10]   The effect of atmospheric particulates on the rainwater chemistry in the Yangtze River Delta, China [J].
Han, Yan ;
Xu, Hong ;
Bi, Xiaohui ;
Lin, Fengmei ;
Jiao, Li ;
Zhang, Yufen ;
Feng, Yinchang .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2019, 69 (12) :1452-1466