Multiple assessments, source determination, and health risk apportionment of heavy metal(loid)s in the groundwater of the Shule River Basin in northwestern China

被引:1
|
作者
Wen, Xiaohu [1 ]
Li, Leiming [2 ]
Wu, Jun [3 ]
Lu, Jian [4 ]
Sheng, Danrui [1 ]
机构
[1] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecol Safety & Sustainable Dev Arid Lands, Lanzhou 730000, Peoples R China
[2] Chinese Acad Sci, Qinghai Inst Salt Lakes, Key Lab Comprehens & Highly Efficient Utilizat Sal, Xining 810008, Peoples R China
[3] Harbin Engn Univ, Yantai Res Inst, Yantai 264006, Peoples R China
[4] Chinese Acad Sci, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China
基金
中国国家自然科学基金;
关键词
groundwater; heavy metal(loid)s; ecological risk; health risk; Shule River Basin; WATER-QUALITY; TRACE-ELEMENTS; METAL POLLUTION; DRINKING-WATER; SOILS; INDEX; PARAMETERS; PLATEAU;
D O I
10.1007/s40333-023-0111-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Global ecosystems and public health have been greatly impacted by the accumulation of heavy metal(loid)s in water. Source-specific risk apportionment is needed to prevent and manage potential groundwater contamination with heavy metal(loid)s. The heavy metal(loid)s contamination status, water quality, ecological risk, and health risk apportionment of the Shule River Basin groundwater are poorly understood. Therefore, field sampling was performed to explore the water quality and risk of heavy metal(loid)s in the groundwater of the Shule River Basin in northwestern China. A total of 96 samples were collected from the study area to acquire data for water quality and heavy metal(loid)s risk. There was noticeable accumulation of ferrum in the groundwater of the Shule River Basin. The levels of pollution were considered to be moderately low, as evaluated by the degree of contamination, heavy metal evaluation index, heavy metal pollution index, and Nemerow pollution index. The ecological risks were also low. However, an assessment of the water quality index revealed that only 58.34% of the groundwater samples had good water quality. The absolute principal component scores-multiple linear regression model was more suited for this study area than the positive matrix factorization model. There were no obvious noncarcinogenic or carcinogenic concerns for all types of receptors according to the values of the total hazard index and total carcinogenic risk. The human activities and the initial geological environment factor (65.85%) was the major source of noncarcinogenic risk (residential children: 87.56%; residential adults: 87.52%; recreational children: 86.77%; and recreational adults: 85.42%), while the industrial activity factor (16.36%) was the major source of carcinogenic risk (residential receptors: 87.96%; and recreational receptors: 68.73%). These findings provide fundamental and crucial information for reducing the health issues caused by heavy metal(loid)s contamination of groundwater in arid areas.
引用
收藏
页码:1355 / 1375
页数:21
相关论文
共 50 条
  • [1] Multiple assessments, source determination, and health risk apportionment of heavy metal(loid)s in the groundwater of the Shule River Basin in northwestern China
    WEN Xiaohu
    LI Leiming
    WU Jun
    LU Jian
    SHENG Danrui
    [J]. Journal of Arid Land, 2023, 15 (11) : 1355 - 1375
  • [2] Multiple assessments, source determination, and health risk apportionment of heavy metal(loid)s in the groundwater of the Shule River Basin in northwestern China
    Xiaohu Wen
    Leiming Li
    Jun Wu
    Jian Lu
    Danrui Sheng
    [J]. Journal of Arid Land, 2023, 15 : 1355 - 1375
  • [3] Pollution assessment and source apportionment of heavy metal(loid)s in soil of Huangshui River basin, Qinghai Province, China
    Fang, Zhaotong
    Hua, Chunyu
    He, Jingyu
    Zhu, Mengyuan
    Tian, Yueru
    Yong, Xian
    Ren, Lijun
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2023, 37 (12) : 4843 - 4855
  • [4] Pollution assessment and source apportionment of heavy metal(loid)s in soil of Huangshui River basin, Qinghai Province, China
    Zhaotong Fang
    Chunyu Hua
    Jingyu He
    Mengyuan Zhu
    Yueru Tian
    Xian Yong
    Lijun Ren
    [J]. Stochastic Environmental Research and Risk Assessment, 2023, 37 : 4843 - 4855
  • [5] Distribution, source apportionment, and assessment of heavy metal pollution in the Yellow River Basin, Northwestern China
    Ma, Cheng
    Wang, Menglu
    Li, Qian
    Vakili, Mohammadtaghi
    Zhang, Yijing
    Hei, Shengqiang
    Gao, Li
    Wang, Wei
    Liu, Dengchao
    [J]. Frontiers of Environmental Science and Engineering, 2025, 19 (02):
  • [6] Source Apportionment and Probabilistic Ecological Risk of Heavy Metal(loid)s in Sediments in the Mianyang Section of the Fujiang River, China
    Du, Huaming
    Lu, Xinwei
    [J]. MINERALS, 2022, 12 (12)
  • [7] Human health risk of heavy metal contamination in groundwater and source apportionment
    Iqbal, Z.
    Abbas, F.
    Mahmood, A.
    Ibrahim, M.
    Gul, M.
    Yamin, M.
    Aslam, B.
    Imtiaz, M.
    Elahi, N. N.
    Qureshi, T., I
    Sial, G. Z. H.
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2022, 19 (08) : 7251 - 7260
  • [8] Human health risk of heavy metal contamination in groundwater and source apportionment
    Z. Iqbal
    F. Abbas
    A. Mahmood
    M. Ibrahim
    M. Gul
    M. Yamin
    B. Aslam
    M. Imtiaz
    N. N. Elahi
    T. I. Qureshi
    G. Z. H. Sial
    [J]. International Journal of Environmental Science and Technology, 2022, 19 : 7251 - 7260
  • [9] Source apportionment and migration characteristics of heavy metal(loid)s in soil and groundwater of contaminated site
    Zhang, Yaobin
    Zhang, Qiulan
    Chen, Wenfang
    Shi, Weiwei
    Cui, Yali
    Chen, Leilei
    Shao, Jingli
    [J]. ENVIRONMENTAL POLLUTION, 2023, 338
  • [10] Pollution characteristics and source apportionment of heavy metal(loid)s in soil and groundwater of a retired industrial park
    Xiang, Zijing
    Wu, Shijin
    Zhu, Lizhong
    Yang, Kun
    Lin, Daohui
    [J]. JOURNAL OF ENVIRONMENTAL SCIENCES, 2024, 143 : 23 - 34