Assessing the hydrogeochemical processes affecting groundwater pollution in arid areas using an integration of geochemical equilibrium and multivariate statistical techniques

被引:83
|
作者
El Alfy, Mohamed [1 ,2 ]
Lashin, Aref [3 ,4 ]
Abdalla, Fathy [5 ,6 ]
Al-Bassam, Abdulaziz [7 ]
机构
[1] King Saud Univ, Prince Sultan Inst Environm Water & Desert Res, PSIPW Chair, Riyadh, Saudi Arabia
[2] Mansoura Univ, Fac Sci, Geol Dept, Mansoura, Egypt
[3] King Saud Univ, Coll Engn, Petr & Nat Gas Engn Dept, Riyadh, Saudi Arabia
[4] Benha Univ, Fac Sci, Geol Dept, Banha, Egypt
[5] King Saud Univ, Sci Res Chairs, Riyadh, Saudi Arabia
[6] South Valley Univ, Fac Sci, Geol Dept, Qena, Qena Governorat, Egypt
[7] King Saud Univ, Coll Sci, Geol & Geophys Dept, SGS, Riyadh, Saudi Arabia
关键词
Groundwater contamination; Factor analysis; Cluster analysis; Water-rock interactions; Dhurma aquifer; SAUDI-ARABIA; CONTAMINATION; FLUORIDE; AQUIFER; QUALITY; GIS; CHEMISTRY; PROVINCE; SYSTEM; CITY;
D O I
10.1016/j.envpol.2017.05.052
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rapid economic expansion poses serious problems for groundwater resources in arid areas, which typically have high rates of groundwater depletion. In this study, integration of hydrochemical investigations involving chemical and statistical analyses are conducted to assess the factors controlling hydrochemistry and potential pollution in an arid region. Fifty-four groundwater samples were collected from the Dhurma aquifer in Saudi Arabia, and twenty-one physicochemical variables were examined for each sample. Spatial patterns of salinity and nitrate were mapped using fitted variograms. The nitrate spatial distribution shows that nitrate pollution is a persistent problem affecting a wide area of the aquifer. The hydrochemical investigations and cluster analysis reveal four significant clusters of groundwater zones. Five main factors were extracted, which explain >77% of the total data variance. These factors indicated that the chemical characteristics of the groundwater were influenced by rock water interactions and anthropogenic factors. The identified clusters and factors were validated with hydrochemical investigations. The geogenic factors include the dissolution of various minerals (calcite, aragonite, gypsum, anhydrite, halite and fluorite) and ion exchange processes. The anthropogenic factors include the impact of irrigation return flows and the application of potassium, nitrate, and phosphate fertilizers. Over time, these anthropogenic factors will most likely contribute to further declines in groundwater quality. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:760 / 770
页数:11
相关论文
共 38 条
  • [31] Assessment of groundwater quality in a Brazilian semiarid basin using an integration of GIS, water quality index and multivariate statistical techniques
    Silva, M., I
    Goncalves, A. M. L.
    Lopes, W. A.
    Lima, M. T., V
    Costa, C. T. F.
    Paris, M.
    Firmino, P. R. A.
    De Paula Filho, F. J.
    JOURNAL OF HYDROLOGY, 2021, 598
  • [32] Impact of human activity and natural processes on groundwater arsenic in an urbanized area (South China) using multivariate statistical techniques
    Guanxing Huang
    Zongyu Chen
    Fan Liu
    Jichao Sun
    Jincui Wang
    Environmental Science and Pollution Research, 2014, 21 : 13043 - 13054
  • [33] Impact of human activity and natural processes on groundwater arsenic in an urbanized area (South China) using multivariate statistical techniques
    Huang, Guanxing
    Chen, Zongyu
    Liu, Fan
    Sun, Jichao
    Wang, Jincui
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2014, 21 (22) : 13043 - 13054
  • [34] Hydrogeochemical investigation of an epithermal mineralization bearing basin using multivariate statistical techniques and isotopic evidence of groundwater: Kestanelik Sub-Basin, Lapseki, Turkey
    Disli, Erkan
    Gulyuz, Nilay
    GEOCHEMISTRY, 2020, 80 (04):
  • [35] Using correlation and multivariate statistical analysis to identify hydrogeochemical processes affecting the major ion chemistry of waters: a case study in Laoheba phosphorite mine in Sichuan, China
    Wu, Jianhua
    Li, Peiyue
    Qian, Hui
    Duan, Zhao
    Zhang, Xuedi
    ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (10) : 3973 - 3982
  • [36] Using correlation and multivariate statistical analysis to identify hydrogeochemical processes affecting the major ion chemistry of waters: a case study in Laoheba phosphorite mine in Sichuan, China
    Jianhua Wu
    Peiyue Li
    Hui Qian
    Zhao Duan
    Xuedi Zhang
    Arabian Journal of Geosciences, 2014, 7 : 3973 - 3982
  • [37] Using multivariate statistical techniques and geochemical modelling to identify factors controlling the evolution of groundwater chemistry in a typical transitional area between Taihang Mountains and North China Plain
    Liu, Fei
    Wang, Shou
    Yeh, Tian-Chyi Jim
    Zhen, Pinna
    Wang, Lishu
    Shi, Liming
    HYDROLOGICAL PROCESSES, 2020, : 1888 - 1905
  • [38] Assessment of the effects of anthropogenic activities on the El Arich groundwater using hydrogeochemistry, GIS and multivariate statistical techniques: A case study of the semi-arid Kasserine region, Tunisia
    Nsiri, Madiha
    Ben Brahim, Fatma
    Khlifi, Mahmoud
    Bouri, Salem
    ENVIRONMENTAL QUALITY MANAGEMENT, 2022, 31 (04) : 261 - 281