Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

被引:3
|
作者
Yang, Lei [1 ]
Liu, Lang [2 ,3 ]
Liu, Yuan [4 ]
Chen, Guangping [5 ]
Liang, Liying [2 ,3 ,6 ]
机构
[1] China Univ Min & Technol, Sch Geosci & Surveying Engn, Beijing 100083, Peoples R China
[2] Guangxi Minzu Univ, Sch Mat & Environm, Nanning 530000, Peoples R China
[3] Guangxi Minzu Univ, Sch Mat & Environm, Guangxi Coll & Univ Key Lab Environm Friendly Mat, Guangxi Key Lab Adv Struct Mat & Carbon Neutraliza, Nanning 530105, Peoples R China
[4] Guizhou Environm & Engn Appraisal Ctr, Guiyang 550002, Guizhou, Peoples R China
[5] Guizhou ZhongGui Environm Technol Co Ltd, Guiyang 550008, Peoples R China
[6] Guangxi Chem Res Inst Ltd Co, Nanning 530000, Peoples R China
来源
ACS OMEGA | 2023年 / 9卷 / 01期
关键词
COAL-MINE; CONTAMINATION; SYSTEM; MANGANESE; REGIONS; QUALITY; BASIN;
D O I
10.1021/acsomega.3c05631
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The WuMa River (WMR) watershed is located in Renhuai City, Guizhou Province of China, which is a first-class tributary of the Chishui River. The geochemical investigation mainly included the determination of groundwater pH, total hardness, total dissolution solid, major cationic and anionic, and the geochemical groundwater modeling. The principal component analysis (PCA) and Gibbs model were used to analyze the pollution type and geochemical composition. The geochemical investigation results show that the cations of groundwater are dominated by Ca2+ and the anions are dominated by HCO3-; therefore, two main hydrochemical types in the study area are identified as Ca2+-Mg2+-HCO3- and Ca2+-Mg2+-SO42-. The chemical composition of groundwater in this area is mainly controlled by weathering of the carbonate rocks. The ion concentration of groundwater in the study area exhibited significant spatial variability between dry and wet seasons, while temporal changes of cationic and anionic concentrations exhibited irregularities. In PCA and FA analysis, PC1, PC2, and PC3 were extracted, which could explain 51.92, 26.98, and 12.61% of the total information, respectively. F1 explained 67.44% of the total variance, among which Ca2+, Mg2+, K+, SO42-, and Cl- contributed the most among the factors and were the main factors controlling the chemical composition of groundwater. The relative error between the measured water level and the simulated water level is less than 2%, which meets the requirements of simulation accuracy. During the simulation period of the model, a total recharge of 339.05 x 10(4) m(3) was observed in the simulated area, primarily attributed to infiltration from rainfall. The total excretion amounted to 330.78 x 10(4) m(3), primarily through evaporation, with a minor amount of lateral outflow. The migration pathway of pollutants in groundwater primarily follows the direction of groundwater flow while diffusing vertically. The migration range of the pollutant is in accordance with the direction of groundwater flow and extends along the larger hydraulic gradient, demonstrating consistency. The findings of this study serve as a reminder that the closure of coal mines can constitute a significant source of water pollution. Simultaneously, they offer empirical data and theoretical references for the simulation and prediction of groundwater contamination in enclosed coal mines.
引用
收藏
页码:520 / 537
页数:18
相关论文
共 50 条
  • [1] Hydrochemical processes and groundwater quality assessment in Yushenfu mining area, Northwest China
    Liu, Ji
    Gao, Min
    Wang, Tiantian
    Yang, Jian
    Wang, Qiangmin
    DESALINATION AND WATER TREATMENT, 2019, 165 : 177 - 187
  • [2] A Study on Hydrochemical Characteristics and Evolution Processes of Groundwater in the Coastal Area of the Dagujia River Basin, China
    Wei, Aihua
    Chen, Yuanyao
    Deng, Qinghai
    Li, Duo
    Wang, Rui
    Jiao, Zhen
    SUSTAINABILITY, 2022, 14 (14)
  • [3] Major ion chemistry of groundwater in the Sangong River Watershed, Northwestern China
    Ma, Haiyan
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (06)
  • [4] Hydrochemical Characteristics and Reverse Hydrogeochemical Modeling of Taiyuan Formation Limestone Groundwater of Sunan Mining Area in Huaibei Coalfield
    Gong, Wei
    Peng, Weihua
    Li, Zhichun
    Ma, Jie
    Yu, Hao
    Xu, Pan
    Zhang, Jiajie
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2024, 33 (04): : 4117 - 4123
  • [5] Identification of Hydrochemical Characteristics, Spatial Evolution, and Driving Forces of River Water in Jinjiang Watershed, China
    Zhu, Yuchen
    Yang, Hongjie
    Xiao, Yong
    Hao, Qichen
    Li, Yasong
    Liu, Jiahuan
    Wang, Liwei
    Zhang, Yuqing
    Hu, Wenxu
    Wang, Jie
    WATER, 2024, 16 (01)
  • [6] Relevance Between Hydrochemical and Hydrodynamic Data in a Deep Karstified Limestone Aquifer: a Mining Area Case Study
    Qiao, Wei
    Li, Wenping
    Li, Tao
    Zhang, Xin
    Wang, Yangzhou
    Chen, Youkuo
    MINE WATER AND THE ENVIRONMENT, 2018, 37 (02) : 393 - 404
  • [7] Hydrochemical Characteristic of Groundwater and Its Impact on Crop Yields in the Baojixia Irrigation Area, China
    Feng, Wenwen
    Qian, Hui
    Xu, Panpan
    Hou, Kai
    WATER, 2020, 12 (05)
  • [8] Hydrochemical insights into spatiotemporal characteristics of groundwater salinization and health risk assessment of fluoride in the south bank of Yellow River irrigation area, Northwest China
    Li, Muhan
    Qu, Shen
    Yu, Guanglei
    Bai, Yansong
    Yang, Xu
    Liu, Zeyuan
    Wu, Rina
    Ma, Hongli
    Miao, Ping
    Huang, Fuyang
    Yu, Ruihong
    ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2025, 47 (04)
  • [9] Hydrochemical characteristics and possible controls in the groundwater of the Yarlung Zangbo River Valley, China
    Liu, Jiutan
    Gao, Zongjun
    Wang, Min
    Li, Yingzhi
    Shi, Mengjie
    Zhang, Hongying
    Ma, Yuanyuan
    ENVIRONMENTAL EARTH SCIENCES, 2019, 78 (03)
  • [10] Identifying watershed-scale spatiotemporal groundwater and surface water mixing function in the Yiluo River, Middle of China
    Wang, Xihua
    Liu, Changli
    Hou, Hongbing
    Wang, Xiuyan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (09) : 11053 - 11065