Groundwater hydrochemistry, source identification and pollution assessment in intensive industrial areas, eastern Chinese loess plateau

被引:87
|
作者
Xiao, Jun [1 ,3 ]
Wang, Lingqing [2 ]
Chai, Ningpan [4 ]
Liu, Ting [5 ]
Jin, Zhangdong [1 ,3 ]
Rinklebe, Jorg [6 ,7 ]
机构
[1] Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
[3] CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China
[4] Changan Univ, Sch Water & Environm, Xian 710054, Shaanxi, Peoples R China
[5] Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Peoples R China
[6] Univ Wuppertal, Sch Architecture & Civil Engn, Inst Fdn Engn Water & Waste Management Soil & Gro, Pauluskirchstr 7, D-42285 Wuppertal, Germany
[7] Sejong Univ, Dept Environm & Energy, Dept Environm, Seoul 05006, South Korea
关键词
Groundwater hydrochemistry; Trace elements; Source identification; Groundwater quality; Health risk assessment; Fen river Basin; WATER-QUALITY ASSESSMENT; HEALTH-RISK ASSESSMENT; FENHE RIVER-BASIN; TRACE-ELEMENTS; DRINKING-WATER; MIDDLE REACHES; SURFACE-WATER; HEAVY-METALS; MODEL; GEOCHEMISTRY;
D O I
10.1016/j.envpol.2021.116930
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Groundwater is essential for regional ecological-economic system and is an important resource of drinking water, especially in the Chinese Loess Plateau (CLP), where is a typical water-limited ecosystem. Groundwater quality deterioration will affect water security and exacerbate the water shortages. Groundwater hydrochemistry, pollution source apportionment, quality and health risks were evaluated based on analysis of major ions and selected trace elements in seasonal samples of the Fen River Basin (FRB) in the eastern CLP. Groundwaters in the FRB were mainly HCO3--Ca-2(+)-Na+ water type with low dissolved solutes in upstream samples, high values in midstream samples and medium values in downstream samples. Solutes in upstream samples were mainly derived from carbonate weathering, while those in midstream and downstream samples came from silicate weathering, evaporites dissolution and anthropogenic sources. Self-organizing map (SOM) showed the hydrochemistry remained unchanged from dry to wet season for most sampling points. The seasonal variations of Ag, Cd, Ni, Pb, and Tl were significant due to anthropogenic input. High NO3- in upstream and downstream samples resulted primarily from sewage discharge, and high SO42- in midstream and downstream samples was from gypsum- and coal-related industries. In addition, anthropogenic input related to coal industries significantly aggravates pollution of As, Ni, Ag, Fe, and Mn. Influenced by evaporites and anthropogenic input, midstream samples had high salinity, total hardness and water quality indices (WQIs) and were unsuitable for irrigation or drinking purposes. Seasonal variation of WQI in the FRB was unsignificant except Jiaokou River sub-basin, where groundwater quality was worse in the wet season than the dry season due to coal mining. Great attention should be paid to the high non-carcinogenic risks of exposure to F, V, Mn, and Cr via dermal absorption, particularly for children. Overall, groundwater quality in the FRB was best in upstream, medium in midstream and worst in midstream based on different index. Groundwater quality is deteriorated by anthropogenic input and the sewage discharge in the FRB should be strictly controlled. Our report provides a reference for groundwater pollution evaluation and source identification in similar areas. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Hydrochemistry and source apportionment of boron, sulfate, and nitrate in the Fen River, a typical loess covered area in the eastern Chinese Loess Plateau
    Xiao, Jun
    Lv, Guorui
    Chai, Ningpan
    Hu, Jing
    Jin, Zhangdong
    ENVIRONMENTAL RESEARCH, 2022, 206
  • [2] Spatial variations in groundwater hydrochemistry, sources, and controls across catchments on Chinese Loess Plateau
    Liu, Xin
    Xiang, Wei
    Song, Jinxi
    Si, Bingcheng
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2024, 53
  • [3] Spatiotemporal variability of groundwater chemistry, source identification and health risks in the southern Chinese Loess Plateau
    Li, Zijun
    Yang, Qingchun
    Xie, Chuan
    Ma, Hongyun
    Wu, Bin
    Wang, Yanli
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2025, 289
  • [4] Machine Learning for Source Identification of Dust on the Chinese Loess Plateau
    Lin, Xin
    Chang, Hong
    Wang, Kaibo
    Zhang, Guishan
    Meng, Ganggang
    GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (21)
  • [5] Groundwater Quality and Associated Human Health Risk in a Typical Basin of the Eastern Chinese Loess Plateau
    Li, Jiao
    Sun, Congjian
    Chen, Wei
    Zhang, Qifei
    Zhou, Sijie
    Lin, Ruojing
    Wang, Yihan
    WATER, 2022, 14 (09)
  • [6] Groundwater hydrochemistry, source identification and health assessment based on self-organizing map in an intensive mining area in Shanxi, China
    Shang, Yajie
    Fu, Changchang
    Zhang, Wenjing
    Li, Xiang
    Li, Xiangquan
    ENVIRONMENTAL RESEARCH, 2024, 252
  • [7] A new water allocation scheme considering the optimization of industrial structures in arid areas of the Chinese Loess Plateau
    Wang, Yuemeng
    Zhang, Shuyu
    Huang, Hongwei
    Wang, Lizhen
    Han, Xinxueqi
    Zhao, Nana
    Zhao, Xining
    Zhao, Yong
    Gao, Xuerui
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2023, 49
  • [8] Spatiotemporal characteristics of groundwater quality and health risk assessment in Jinghe River Basin, Chinese Loess Plateau
    Li, Zijun
    Yang, Qingchun
    Xie, Chuan
    Wang, Hao
    Wang, Yanli
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2022, 248
  • [9] Hydrochemical characteristics and health risk assessment of groundwater in Dingbian county of the Chinese Loess Plateau, northwest China
    Haotian Liang
    Wei Wang
    Jinlong Li
    Yahong Fang
    Zejun Liu
    Environmental Earth Sciences, 2022, 81
  • [10] Hydrochemical characteristics and health risk assessment of groundwater in Dingbian county of the Chinese Loess Plateau, northwest China
    Liang, Haotian
    Wang, Wei
    Li, Jinlong
    Fang, Yahong
    Liu, Zejun
    ENVIRONMENTAL EARTH SCIENCES, 2022, 81 (11)