Seasonal variations, source apportionment, and health risk assessment of trace metals in PM2.5 in the typical industrial city of changzhi, China

被引:51
|
作者
Duan, Xiaolin [1 ]
Yan, Yulong [1 ]
Li, Rumei [1 ]
Deng, Mengjie [1 ]
Hu, Dongmei [1 ]
Peng, Lin [1 ]
机构
[1] North China Elect Power Univ, Coll Environm Sci & Engn, Minist Educ, Key Lab Resources & Environm Syst Optimizat, Beijing 102206, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
PM2.5; Trace metals; Source apportionment; Source-specific health risk; Industry; FINE PARTICULATE MATTER; HEAVY-METALS; AMBIENT AIR; CHEMICAL CHARACTERISTICS; RESIDENTIAL AREA; FUGITIVE DUST; ELEMENTS; POLLUTION; EMISSIONS; PARTICLES;
D O I
10.1016/j.apr.2020.09.017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Studying the source-specific health risks of trace metals in PM2.5 is important for controlling its emission sources that are hazardous to human health. In this study, PM2 5-bound trace metals were analyzed during winter, spring, summer, and autumn in 2018 in Changzhi, a typical industrial city in China. The results revealed that the annual concentration of total trace metals in PM2.5 was 7531.9 ng m(-3) in the study area, and the concentration was maximum in spring (14,781.7 ng m(-3)), followed by autumn (7163.8 ng m(-3)), winter (5237.0 ng m(-3)), and summer (3226.1 ng m(-3)). Dry and continual windy days in spring often led to high concentrations of trace metals in Changzhi. Trace metals with high enrichment factor (>100), such as Cd, Sn, Pb, and Zn, were predominantly released from coal combustion. Four sources, such as coal combustion, traffic emissions, resuspended dust, and industry, were established by positive matrix factorization, with contributions to PM2.5-bound trace metals of 29.5%, 26.6%, 26.3%, and 17.6%, respectively. In terms of their contribution to cancer risk, the top contributor both for children and adults was industry, with 1.50 x 10(-6) and 5.99 x 10(-6), respectively, both of which were higher than the safe level (1 x 10(-6)); coal combustion ranked second (0.49 x 10(-6) and 1.94 x 10(-6) for children and adults, respectively). In addition to the advancement of control measures for pollutants and control of industrial production, more attention should also be given in limiting coal consumption through the use of clean energy (e.g., natural gas).
引用
收藏
页码:365 / 374
页数:10
相关论文
共 50 条
  • [31] Characteristics and source apportionment of PM2.5 in Jiaxing, China
    Zhipeng Zhao
    Sheng Lv
    Yihua Zhang
    Qianbiao Zhao
    Lin Shen
    Shi Xu
    Jianqiang Yu
    Jingwen Hou
    Chengyu Jin
    [J]. Environmental Science and Pollution Research, 2019, 26 : 7497 - 7511
  • [32] High time-resolution source apportionment and health risk assessment for PM2.5-bound elements at an industrial city in northwest China
    Liu, Suixin
    Wu, Tingting
    Wang, Qiyuan
    Zhang, Yong
    Tian, Jie
    Ran, Weikang
    Cao, Junji
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 870
  • [33] Characteristics and source apportionment of PM2.5 in Jiaxing, China
    Zhao, Zhipeng
    Lv, Sheng
    Zhang, Yihua
    Zhao, Qianbiao
    Shen, Lin
    Xu, Shi
    Yu, Jianqiang
    Hou, Jingwen
    Jin, Chengyu
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (08) : 7497 - 7511
  • [34] Source apportionment of PM2.5 and visibility in Jinan,China
    Mengtian Cheng
    Guiqian Tang
    Bo Lv
    Xingru Li
    Xinrui Wu
    Yiming Wang
    Yuesi Wang
    [J]. Journal of Environmental Sciences, 2021, 102 (04) : 207 - 215
  • [35] Source apportionment of PM2.5 and visibility in Jinan, China
    Cheng, Mengtian
    Tang, Guiqian
    Lv, Bo
    Li, Xingru
    Wu, Xinrui
    Wang, Yiming
    Wang, Yuesi
    [J]. JOURNAL OF ENVIRONMENTAL SCIENCES, 2021, 102 : 207 - 215
  • [36] Source-Specific Health Risk of PM2.5-Bound Metals in a Typical Industrial City, Central China, 2021-2022
    Liu, Ziguo
    Zhan, Changlin
    Liu, Hongxia
    Liu, Shan
    Quan, Jihong
    Liu, Xianli
    Zhang, Jiaquan
    Qu, Chengkai
    [J]. ATMOSPHERE, 2023, 14 (09)
  • [37] Concentration, source apportionment and human health risk assessment of elements in PM2.5 at Agra, India
    Sah, Dinesh
    [J]. URBAN CLIMATE, 2023, 49
  • [38] PM2.5 source apportionment for the port city of Thessaloniki, Greece
    Saraga, Dikaia E.
    Tolis, Evangelos, I
    Maggos, Thomas
    Vasilakos, Christos
    Bartzis, John G.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 650 : 2337 - 2354
  • [39] Trace elements in PM2.5 in Shandong Province: Source identification and health risk assessment
    Zhang, Jingzhu
    Zhou, Xuehua
    Wang, Zhe
    Yang, Lingxiao
    Wang, Jing
    Wang, Wenxing
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 621 : 558 - 577
  • [40] Analysis of the PM2.5 emission inventory and source apportionment in Jilin City, Northeast of China
    Fang, Chunsheng
    Wang, Liyuan
    Gao, Hanbo
    Wang, Ju
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (30) : 37324 - 37332