Quantifying the Health Risks of PM2.5-Bound Heavy Metals for Rural Populations with Different Energy Use Types During the Heating Season

被引:1
作者
Wang, Wenju [1 ]
Wang, Mingya [1 ]
Wang, Mingshi [1 ]
Zhang, Xuechun [1 ]
Han, Qiao [2 ,3 ]
Chen, Chun [4 ,5 ]
Liu, Dan [4 ,5 ]
Xiong, Qinqing [1 ]
Zhang, Chunhui [1 ]
机构
[1] Henan Polytech Univ, Coll Resource & Environm, Jiaozuo 454003, Peoples R China
[2] Chinese Acad Sci, Inst Geochem, Guiyang 550081, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Henan Ecol Environm Monitoring & Safety Ctr, Zhengzhou 450046, Peoples R China
[5] Henan Key Lab Environm Monitoring Technol, Zhengzhou 450004, Peoples R China
基金
中国国家自然科学基金;
关键词
Air pollution; Rural energy use; Probabilistic health risk; Source-specific health risk; POSITIVE MATRIX FACTORIZATION; NORTH CHINA PLAIN; SOURCE APPORTIONMENT; ESTIMATING UNCERTAINTY; SOURCE IDENTIFICATION; CHEMICAL-COMPOSITION; PM2.5; POLLUTION; EXPOSURE; AIR;
D O I
10.1007/s12403-023-00590-9
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Premature deaths in China due to exposure to PM2.5-bound heavy metals (HMs) are notably more prevalent in rural areas than in urban ones. In suburban rural areas, electricity and natural gas have emerged as the primary energy sources. However, in remote rural locations far from urban centers, coal and biomass are still commonly used for cooking and heating. This disparity in energy use can lead to variations in health risks among populations and may cause significant discrepancies between implemented policies and actual conditions. Winter PM(2.5 )samples were collected from rural sites across the North China Plain. To identify the effects of air exposure on rural populations with different types of energy use, we employed probabilistic and source-specific risk assessment methods. Results showed that the average PM2.5 mass was 10.08 and 10.91 times higher than the World Health Organization's recommended guideline (15 mu g/m(3)). This indicates a higher contamination burden in suburban rural areas. Children were found to be at higher risk of noncarcinogenic risks (NCR) but at a lower risk of carcinogenic risks (CR) compared to adults. Interestingly, the NCR and CR of HMs from coal and biomass combustion in remote rural areas were 2.68 and 2.47 times higher, respectively, than those in suburban rural areas. The widespread use of electricity and natural gas in suburban areas has decreased the health burden of HMs on residents when compared to the use of coal and biomass. Coal and biomass combustion was identified as the primary source of health risks in remote rural areas. In suburban rural areas, it is essential to reduce coal and biomass combustion, vehicle emissions, and industrial emissions. Our results provide valuable scientific insights for the prevention of air pollution throughout the rural energy transition process, not only in China but also in developing countries worldwide.
引用
收藏
页码:759 / 774
页数:16
相关论文
共 72 条
  • [1] Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization
    Amato, Fulvio
    Hopke, Philip K.
    [J]. ATMOSPHERIC ENVIRONMENT, 2012, 46 : 329 - 337
  • [2] AMBS, 2021, AN CIT STAT YB 2021
  • [3] Investigation of sources of atmospheric aerosol at urban and semi-urban areas in Bangladesh
    Begum, BA
    Kim, E
    Biswas, SK
    Hopke, PK
    [J]. ATMOSPHERIC ENVIRONMENT, 2004, 38 (19) : 3025 - 3038
  • [4] Human health risk assessment for toxic elements in the extreme ambient dust conditions observed in Sistan, Iran
    Behrooz, Reza Dahmardeh
    Kaskaoutis, D. G.
    Grivas, G.
    Mihalopoulos, N.
    [J]. CHEMOSPHERE, 2021, 262
  • [5] Associations of PM2.5 Constituents and Sources with Hospital Admissions: Analysis of Four Counties in Connecticut and Massachusetts (USA) for Persons ≥ 65 Years of Age
    Bell, Michelle L.
    Ebisu, Keita
    Leaderer, Brian P.
    Gent, Janneane F.
    Lee, Hyung Joo
    Koutrakis, Petros
    Wang, Yun
    Dominici, Francesca
    Peng, Roger D.
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2014, 122 (02) : 138 - 144
  • [6] Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results
    Brown, Steven G.
    Eberly, Shelly
    Paatero, Pentti
    Norris, Gary A.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2015, 518 : 626 - 635
  • [7] Implications of seasonal control of PM2.5-bound PAHs: An integrated approach for source apportionment, source region identification and health risk assessment
    Chao, Sihong
    Liu, Jianwei
    Chen, Yanjiao
    Cao, Hongbin
    Zhang, Aichen
    [J]. ENVIRONMENTAL POLLUTION, 2019, 247 : 685 - 695
  • [8] Source-specific health risk assessment of PM2.5-bound heavy metals based on high time-resolved measurement in a Chinese megacity: insights into seasonal and diurnal variations
    Chen, Rui
    Jia, Bin
    Tian, Yingze
    Feng, Yinchang
    [J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2021, 216
  • [9] Household air pollution and personal exposure to air pollutants in rural China - A review
    Du, Wei
    Li, Xinyue
    Chen, Yuanchen
    Shen, Guofeng
    [J]. ENVIRONMENTAL POLLUTION, 2018, 237 : 625 - 638
  • [10] Levels and ecological and health risk assessment of PM2.5-bound heavy metals in the northern part of the Persian Gulf
    Faraji Ghasemi, Fatemeh
    Dobaradaran, Sina
    Saeedi, Reza
    Nabipour, Iraj
    Nazmara, Shahrokh
    Ranjbar Vakil Abadi, Dariush
    Arfaeinia, Hossein
    Ramavandi, Bahman
    Spitz, Joerg
    Mohammadi, Mohammad Javad
    Keshtkar, Mozhgan
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (05) : 5305 - 5313