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
  • [41] Distribution, speciation, environmental risk, and source identification of heavy metals in surface sediments from the karst aquatic environment of the Lijiang River, Southwest China
    Daoquan Xu
    Yinghui Wang
    Ruijie Zhang
    Jing Guo
    Wei Zhang
    Kefu Yu
    [J]. Environmental Science and Pollution Research, 2016, 23 : 9122 - 9133
  • [42] Source Identification and Health Risk Assessment of Heavy Metals in Soil: A Case Study of Lintancang Plain, Northeast China
    Man, Qianru
    Xu, Lijuan
    Li, Mingfang
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (16)
  • [43] Spatiotemporal Assessment of Heavy Metal (Loid) Pollution in Water and Surface Sediment of the Mohlapitsi River, South Africa
    Addo-Bediako, Abraham
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2024, 33 (04): : 3545 - 3554
  • [44] Distribution, speciation, environmental risk, and source identification of heavy metals in surface sediments from the karst aquatic environment of the Lijiang River, Southwest China
    Xu, Daoquan
    Wang, Yinghui
    Zhang, Ruijie
    Guo, Jing
    Zhang, Wei
    Yu, Kefu
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (09) : 9122 - 9133
  • [45] Pollution characteristics and probabilistic risk assessment of heavy metal (loid)s in agricultural soils across the Yellow River Basin, China
    Li, Jun
    Li, Xu
    Wang, Chao
    Liu, Jun-Zhuo
    Gao, Zhan-Dong
    Li, Kai-Ming
    Tuo, Xin-Ying
    Zang, Fei
    [J]. ECOLOGICAL INDICATORS, 2024, 167
  • [46] Risk assessment of heavy metals in the surface sediment at the drinking water source of the Xiangjiang River in South China
    Huang, Zhifeng
    Liu, Chengyou
    Zhao, Xingru
    Dong, Jing
    Zheng, Binghui
    [J]. ENVIRONMENTAL SCIENCES EUROPE, 2020, 32 (01)
  • [47] Risk assessment of heavy metals in the surface sediment at the drinking water source of the Xiangjiang River in South China
    Zhifeng Huang
    Chengyou Liu
    Xingru Zhao
    Jing Dong
    Binghui Zheng
    [J]. Environmental Sciences Europe, 2020, 32
  • [48] Pollution characteristics of heavy metal(loid)s in soil in China: Implications for health risk assessment and temporal trend analysis
    Weng, Chang-Yu
    Jia, Shi-Ming
    Wang, De-Qi
    Ma, Wan-Li
    [J]. ENVIRONMENTAL CHEMISTRY AND ECOTOXICOLOGY, 2024, 6 : 248 - 258
  • [49] Heavy Metal Contamination in Surface Water of Harike Wetland, India: Source and Health Risk Assessment
    Naqash, Nafiaah
    Jamal, Mamdoh T.
    Singh, Rahul
    [J]. WATER, 2023, 15 (18)
  • [50] Health risk assessment of heavy metals and pesticides: A case study in,the main drinking water source in Dalian, China
    Dong, Wanwan
    Zhang, Ying
    Quan, Xie
    [J]. CHEMOSPHERE, 2020, 242