Assessment of groundwater chemistry in layered coastal aquifers using multivariate statistical analysis

被引:14
|
作者
Thilagavathi R. [1 ]
Chidambaram S. [1 ]
Thivya C. [2 ]
Prasanna M.V. [3 ]
Keesari T. [4 ]
Pethaperumal S. [5 ]
机构
[1] Department of Earth Sciences, Annamalai University, Annamalai Nagar
[2] Department of Geology, University of Madras, Chennai
[3] Department of Applied Geology, Faculty of Engineering and Science, Curtin University Sarawak, CDT 250, Miri, 98009, Sarawak
[4] Isotope and Radiation Application Division, Bhabha Atomic Research Centre, Mumbai
[5] State Groundwater Unit and Soil Conservation, Department of Agriculture, Pondicherry
关键词
Factor analysis; Hydrochemistry; Layered aquifers; Salt water intrusion; Weathering;
D O I
10.1007/s40899-017-0078-7
中图分类号
学科分类号
摘要
This study presents statistical analysis of hydrogeochemical data of the groundwater samples collected from the layered formations of the Cretaceous, Tertiary (Lower Cuddalore and Upper Cuddalore) and Quaternary in Pondicherry region, South India. It focuses on the sources, controls and geochemical processes occurring in these formations. The results obtained from statistical analysis of 11 important hydrochemical parameters indicate dissimilar elemental correlations among aquifers. Quaternary aquifer exhibit good correlations among ion pairs Ca+–Cl− and Na+–Cl− indicating source controls like salts from unsaturated zone, fertilizers, industrial wastes and also processes like ion exchange. Upper and lower Tertiary aquifers have good correlations among ions as Ca2+–Mg2+–Na+–K+–Cl−–HCO32−—H4SiO4 indicating dominant role of silicate rock weathering processes, while Cretaceous formation show high correlations among Ca+–Mg2+–SO42−–HCO3− indicating carbonate and sulphate mineral contribution. High positive ion correlations among Na+–K+–Cl− observed in Cretaceous formation reflects contribution from marine sources. The study has also brought out the three major processes active in theses aquifers like parental, anthropogenic and mixing. The spatial distribution of the factor score for individual groundwater samples reveals the sources of the constituents that are in good agreement with those deduced from the geological and hydrogeological evidences. A conceptual geochemical model is developed to improve the understanding of this complex multi-layered aquifer system that would help the water authorities to plan for judicious exploitation of groundwater resources management without significantly hampering the groundwater quality. © 2017, Springer International Publishing Switzerland.
引用
收藏
页码:55 / 69
页数:14
相关论文
共 50 条
  • [1] Assessment of groundwater in Sana’a Basin aquifers, Yemen, using hydrogeochemical modeling and multivariate statistical analysis
    Ahmed Al-Hmani
    Nejib Ben Jamaa
    Adel Kharroubi
    Belgacem Agoubi
    Arabian Journal of Geosciences, 2022, 15 (8)
  • [2] Groundwater potential mapping and mineralization assessment in Campo aquifers, Cameroon using AHP and multivariate statistical analysis
    Njifen S.R.K.
    Nyam F.M.E.A.
    Fossi D.H.
    Bikoro M.B.-A.
    Tchikangoua A.N.
    Tabod C.T.
    Environment, Development and Sustainability, 2024, 26 (6) : 16095 - 16127
  • [3] Hydrogeochemical characterization and analysis for irrigation applicability of groundwater in the shallow coastal aquifers: a multivariate statistical approach
    Joseph, Sabu
    Sijimol, M. R.
    Thomas, Jobin
    Sheela, A. M.
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2022, 20 (03) : 363 - 374
  • [4] Identifying the Major Hydrogeochemical Factors Governing Groundwater Chemistry in the Coastal Aquifers of Southwest Bangladesh Using Statistical Analysis
    Sarker, Md Mizanur Rahman
    Hermans, Thomas
    Van Camp, Marc
    Hossain, Delwar
    Islam, Mazeda
    Ahmed, Nasir
    Bhuiyan, Md Abdul Quaiyum
    Karim, Md Masud
    Walraevens, Kristine
    HYDROLOGY, 2022, 9 (02)
  • [5] Groundwater Chemistry and Quality in Coastal Aquifers
    Huang, Guanxing
    Li, Liangping
    WATER, 2024, 16 (14)
  • [6] A multivariate Statistical Analysis of Groundwater Chemistry Data
    Belkhiri, L.
    Boudoukha, A.
    Mouni, L.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH, 2011, 5 (02) : 537 - 544
  • [7] Lithofacies Identification and Multivariate Analysis of Groundwater Chemistry in Coastal Aquifers in Koko Area of the Western Niger Delta
    Ohwoghere-Asuma, Oghenero
    Aweto, Kizito Ejiro
    Ugbe, Chukwuma Felix
    HYDROLOGY, 2019, 6 (02)
  • [8] Groundwater sustainability assessment in coastal aquifers
    Lathashri, U. A.
    Mahesha, A.
    JOURNAL OF EARTH SYSTEM SCIENCE, 2016, 125 (06) : 1103 - 1118
  • [9] Groundwater sustainability assessment in coastal aquifers
    U A Lathashri
    A Mahesha
    Journal of Earth System Science, 2016, 125 : 1103 - 1118
  • [10] UNDERSTANDING THE EXTENT OF GEOCHEMICAL AND HYDROCHEMICAL PROCESSES IN COASTAL KARST AQUIFERS THROUGH ION CHEMISTRY AND MULTIVARIATE STATISTICAL ANALYSIS
    Panagopoulos, George
    Panagiotaras, Dionisios
    FRESENIUS ENVIRONMENTAL BULLETIN, 2011, 20 (12A): : 3270 - 3285