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 50 条
  • [41] Source-specific health risks of PM2.5-bound toxic metals in Wuhai, a semi-arid city in northwest China
    Wang, Jingwen
    Zhou, Haijun
    Chun, Xi
    Wan, Zhiqiang
    Liu, Chun
    Gong, Yitian
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 907
  • [42] Assessing health risks from bioaccessible PM2.5-bound toxic metals in Nanchang metro: Implications for metro workers and emissions control
    Huang, Shan
    Han, Minglei
    Chen, Peixian
    Feng, Weiwei
    Li, Guobo
    Zhang, Hongxiang
    Peng, Honggen
    Huang, Ting
    ENVIRONMENTAL RESEARCH, 2024, 258
  • [43] PM2.5-bound heavy metals from the major cities in China: Spatiotemporal distribution, fuzzy exposure assessment and health risk management
    Li, Fei
    Yan, Jingjing
    Wei, Yongchang
    Zeng, Jingjing
    Wang, Xiaoying
    Chen, Xiyao
    Zhang, Chuanrong
    Li, Weidong
    Chen, Min
    Lu, Guonian
    JOURNAL OF CLEANER PRODUCTION, 2021, 286
  • [44] Health benefits of using air purifier to reduce exposure to PM2.5-bound polycyclic aromatic hydrocarbons (PAHs), heavy metals and ions
    Fazlzadeh, Mehdi
    Salarifar, Mojtaba
    Hassanvand, Mohammad Sadegh
    Nabizadeh, Ramin
    Shamsipour, Mansour
    Naddafi, Kazem
    JOURNAL OF CLEANER PRODUCTION, 2022, 352
  • [45] Potential Risks of PM2.5-Bound Polycyclic Aromatic Hydrocarbons and Heavy Metals from Inland and Marine Directions for a Marine Background Site in North China
    Xue, Qianqian
    Tian, Yingze
    Liu, Xinyi
    Wang, Xiaojun
    Huang, Bo
    Zhu, Hongxia
    Feng, Yinchang
    TOXICS, 2022, 10 (01)
  • [46] Characteristics, sources, and health risks of PM2.5-bound trace metals in northern Zhejiang Province: The effects of meteorological variables based on machine learning
    Zhang, Fei
    Shen, Yemin
    Xu, Bingye
    Shen, Jiasi
    Jin, Lingling
    Yao, Lan
    Kuang, Binyu
    Xu, Zhengning
    Pei, Xiangyu
    Tang, Qian
    Tian, Xudong
    Wang, Zhibin
    JOURNAL OF CLEANER PRODUCTION, 2024, 451
  • [47] Sources, environmental levels, and health risks of PM2.5-bound polycyclic aromatic hydrocarbons in energy-producing cities in northern China
    Guo, Li
    Hu, Jian
    Xing, Yanfeng
    Wang, Hao
    Miao, Shengjie
    Meng, Qingqing
    Wang, Xiaohong
    Bai, Shuping
    Jia, Jing
    Wang, Pengjie
    Zhang, Rui
    Gao, Peng
    ENVIRONMENTAL POLLUTION, 2021, 272
  • [48] Comparisons of Spatial and Temporal Variations in PM2.5-Bound Trace Elements in Urban and Rural Areas of South Korea, and Associated Potential Health Risks
    Nirmalkar, Jayant
    Lee, Kwangyul
    Ahn, Junyoung
    Lee, Jiyi
    Song, Mijung
    ATMOSPHERE, 2023, 14 (04)
  • [49] Assessing emission-driven changes in health risk of source-specific PM2.5-bound heavy metals by adjusting meteorological covariates
    Luo, Zhongwei
    Feng, Chengliang
    Yang, Jingyi
    Dai, Qili
    Dai, Tianjiao
    Zhang, Yufen
    Liang, Danni
    Feng, Yinchang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 927
  • [50] Composition, Source Apportionment, and Health Risk of PM2.5-Bound Metals during Winter Haze in Yuci College Town, Shanxi, China
    Li, Lihong
    Qi, Hongxue
    Li, Xiaodong
    TOXICS, 2022, 10 (08)