Health Risk Assessment Based on Source Identification of Heavy Metal(loid)s: A Case Study of Surface Water in the Lijiang River, China

被引:5
|
作者
Wang, Yu [1 ,2 ,3 ,4 ]
Xin, Cunlin [1 ,2 ]
Yu, Shi [3 ,4 ]
Xie, Yincai [3 ,4 ]
Zhang, Wanjun [1 ,2 ,3 ,4 ]
Fu, Rongjie [1 ,2 ,3 ,4 ]
机构
[1] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China
[2] Key Lab Resource Environm & Sustainable Dev Oasis, Lanzhou 730070, Peoples R China
[3] Chinese Acad Geol Sci, Inst Karst Geol, Key Lab Karst Dynam, MNR & GZAR, Guilin 541004, Peoples R China
[4] Int Res Ctr Karst Ausp UNESCO, Guilin 541004, Peoples R China
基金
中国国家自然科学基金;
关键词
surface water; Lijiang River; heavy metal(loid)s; health risk assessment; source identification; ICP-MS; METAL CONCENTRATIONS; LAND-USE; SEDIMENTS; POLLUTION; ELEMENTS; QUALITY; SAMPLES; SOILS; AREA; LAKE;
D O I
10.3390/toxics10120726
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, 24 surface water samples were collected from the main trunk/tributary of the Lijiang River during the wet season (April) and the dry season (December) in 2021. The total concentration of 11 heavy metal(loid)s (Al, Cu, Pb, Zn, Cr, Ni, Co, Cd, Mn, As, and Hg) was determined to investigate their physicochemical properties and spatial-temporal distribution characteristics. The heavy metal evaluation index (HEI) and the positive matrix factorization (PMF) model were employed to evaluate water quality and to reveal quantitatively identified pollution sources for further investigation to obtain a health risk assessment using the hazard index (HI) and carcinogenic risk (CR) of various pollution sources. The mean concentrations of heavy metal(loid)s in surface water in the wet and dry seasons were ranked as: Al > Mn > Zn > Ni > Cd > Cr > Cu > As >Hg = Pb > Co, with the mean concentration of Hg being higher than the national Class II surface water environmental quality standard (GB3838-2002). In terms of time scale, the concentration of most heavy metal(loid)s was higher in the wet season; most heavy metal(loid)s were distributed mainly in the midstream area. HEI index indicated that the main water quality status was "slightly affected" in the study area. Five potential sources of pollution were obtained from the PMF model, including industrial activities, traffic sources, agricultural activities, domestic waste emissions, and natural resources. The source-oriented risk assessment indicated that the largest contributions of HI and CR were agricultural sources in the Lijiang River. This study provides a "target" for the precise control of pollution sources, which has a broad impact on improving the fine management of the water environment in the basin.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Source-oriented risk assessment of heavy metal(loid)s in agricultural soils around a multimetal smelting area near the Yellow River, China
    Chen, Hui
    Qiao, Shuo
    Li, Chang
    Wu, Yong
    Li, Donghao
    Li, Ling
    Liu, Jianwei
    [J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2024, 46 (02)
  • [32] Distribution, Source and Risk Assessment of Heavy Metal(oid)s in Water, Sediments, and Corbicula Fluminea of Xijiang River, China
    Huang, Xuexia
    Luo, Dinggui
    Zhao, Dongye
    Li, Ning
    Xiao, Tangfu
    Liu, Jingyong
    Wei, Lezhang
    Liu, Yu
    Liu, Lirong
    Liu, Guowei
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (10)
  • [33] Spatiotemporal distribution, risk assessment and source appointment of metal(loid)s in water and sediments of Danjiangkou Reservoir, China
    Zheng, Tong
    Dang, Chenyuan
    Zhong, Sining
    Sun, Weiling
    Chen, Qian
    [J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2021, 43 (01) : 139 - 152
  • [34] Spatiotemporal distribution, risk assessment and source appointment of metal(loid)s in water and sediments of Danjiangkou Reservoir, China
    Tong Zheng
    Chenyuan Dang
    Sining Zhong
    Weiling Sun
    Qian Chen
    [J]. Environmental Geochemistry and Health, 2021, 43 : 139 - 152
  • [35] Heavy metal(loid) risk assessment and nutrient characteristics of sediments from an urban river in Ningbo, China
    Liu M.
    Wang Z.
    Wang J.
    Hu Z.
    Wu L.
    [J]. Arabian Journal of Geosciences, 2021, 14 (10)
  • [36] Exposure Factors in Health Risk Assessment of Heavy Metal(loid)s in Soil and Sediment
    Miletic, Andrijana
    Lucic, Milica
    Onjia, Antonije
    [J]. METALS, 2023, 13 (07)
  • [37] Geochemistry, health risk assessment and statistical source identification of dissolved trace elements in surface water of the Chishui River, China
    Song, Xiwei
    Chao, Liqiang
    Jiang, Xutao
    Liu, Kejia
    Pu, Xunchi
    [J]. ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY, 2024, 10 (05) : 1122 - 1134
  • [38] Heavy metal pollution and health risk assessment in the Wei River in China
    Yang, Xuefu
    Duan, Jinming
    Wang, Lei
    Li, Wei
    Guan, Jianling
    Beecham, Simon
    Mulcahy, Dennis
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 187 (03)
  • [39] Heavy metal pollution and health risk assessment in the Wei River in China
    Xuefu Yang
    Jinming Duan
    Lei Wang
    Wei Li
    Jianling Guan
    Simon Beecham
    Dennis Mulcahy
    [J]. Environmental Monitoring and Assessment, 2015, 187
  • [40] Distribution characteristics, source identification and risk assessment of heavy metals in surface sediments of the Yellow River, China
    Li, Weiqing
    Qian, Hui
    Xu, Panpan
    Zhang, Qiying
    Chen, Jie
    Hou, Kai
    Ren, Wenhao
    Qu, Wengang
    Chen, Yao
    [J]. CATENA, 2022, 216