Integrated multi-criteria analysis for groundwater potential mapping in Precambrian hard rock terranes (North Gujarat), India

被引:20
作者
Pradhan, Rudra Mohan [1 ]
Guru, Balamurugan [2 ,3 ]
Pradhan, Biswajeet [4 ,5 ,6 ]
Biswal, Tapas Kumar [1 ]
机构
[1] Indian Inst Technol, Dept Earth Sci, Powai, India
[2] Tata Inst Social Sci, Ctr Geoinformat, Mumbai, Maharashtra, India
[3] Cent Univ Tamil Nadu, Dept Geol, Thiruvarur, India
[4] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Adv Modelling & Geospatial Informat Syst CAMG, Ultimo, NSW, Australia
[5] King Abdulaziz Univ, Ctr Excellence Climate Change Res, Jeddah, Saudi Arabia
[6] Univ Kebangsaan Malaysia, Inst Climate Change, Earth Observat Ctr, Bangi, Malaysia
关键词
groundwater; analytical hierarchy process; geographic information system; electrical resistivity tomography; Ambaji basin; Precambrian terrane; ANALYTIC HIERARCHY PROCESS; GEOGRAPHICAL INFORMATION-SYSTEM; REGRESSION SPLINE MODELS; MACHINE LEARNING-MODELS; WEIGHTS-OF-EVIDENCE; LOGISTIC-REGRESSION; DECISION-MAKING; SPATIAL-ANALYSIS; FREQUENCY RATIO; SITE SELECTION;
D O I
10.1080/02626667.2021.1906427
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In North Gujarat, local communities depend on the Precambrian basement aquifers for their primary source of water supply. The increasing demand for potable water puts stress on exploring for groundwater from less reliable sources of basement rocks. The main objective is to map groundwater potential zones (GWPZs) in water-scarce Precambrian terranes using integrated multi-criteria analysis (analytical hierarchy process and geospatial techniques). The output of the GWPZ map was grouped into six different categories. The results show that very high and high groundwater potentials extend over areas of 4.29% and 12.86%, respectively. The kappa index method was used for validation and showed an effective result between collected water-level data with calculated GWPZ. It shows 83.3% accuracy for very high, 85.7% for high and 90.1% for moderate GWPZs. The study shows promise and highlights that such an integrated analysis is reliable and can be applied anywhere with a similar set-up for groundwater prospecting and management.
引用
收藏
页码:961 / 978
页数:18
相关论文
共 50 条
[31]   Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique [J].
Agarwal, Rajat ;
Garg, P. K. .
WATER RESOURCES MANAGEMENT, 2016, 30 (01) :243-260
[32]   Groundwater potential zone mapping of middle Andaman using multi-criteria decision-making and support vector machine [J].
Kumar, Pardeep ;
Singh, Priyadarshini ;
Asthana, Harshita ;
Yadav, Bhawna ;
Mukherjee, Saumitra .
GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2024, 26
[33]   Groundwater Potential Mapping in a Rural River Basin by Union (OR) and Intersection (AND) of Four Multi-criteria Decision-Making Models [J].
Susanta Mahato ;
Swades Pal .
Natural Resources Research, 2019, 28 :523-545
[34]   Comparative Analysis of Multi-Criteria Decision-Making Approaches for Identifying Groundwater Recharge Potential Zones in the River Basin of Northern Kerala, India [J].
Rasheed, Shamla ;
Abraham, Marykutty ;
Kavisri, M. ;
Moovendhan, Meivelu ;
Rasheed, Ameen Abdul .
ENVIRONMENTAL QUALITY MANAGEMENT, 2024, 34 (02)
[35]   Groundwater potential zoning by integrating multi-criteria decision and bivariate analysis methods - a case study on Cheyyar River Basin, Tamil Nadu, India [J].
Narayanamurthi, Vishnuvardan ;
Ramasamy, Annadurai .
GEOCARTO INTERNATIONAL, 2022, 37 (26) :14570-14595
[36]   Identifying hidden groundwater reserves: GIS advances and multi-criteria decision analysis for enhanced potential assessment [J].
Ghose, Dillip Kumar ;
Sridharam, Sriharsha .
ADVANCES IN SPACE RESEARCH, 2025, 75 (01) :432-450
[37]   Multi-criteria decision analysis for regional-scale flood susceptibility mapping in Kerala state, India [J].
Kendagannaswamy, M. S. ;
Roopa, C. K. ;
Harish, B. S. ;
Mukesh, M. S. .
DISCOVER APPLIED SCIENCES, 2025, 7 (06)
[38]   Potential assessment of multi-renewable energy farms establishment using spatial multi-criteria decision analysis: A case study and mapping in Iran [J].
Shorabeh, Saman Nadizadeh ;
Argany, Meysam ;
Rabiei, Javad ;
Firozjaei, Hamzeh Karimi ;
Nematollahi, Omid .
JOURNAL OF CLEANER PRODUCTION, 2021, 295
[39]   Application of multi-criteria decision making technique for the assessment of groundwater potential zones: a study on Birbhum district, West Bengal, India [J].
Niladri Das ;
Sutapa Mukhopadhyay .
Environment, Development and Sustainability, 2020, 22 :931-955
[40]   A Geoinformatics-Based Comparative Study of Multi-Criteria Decision Making Approaches of Groundwater Potential Zoning in Ken Basin, India [J].
Patle, Deepak ;
Awasthi, Manoj Kumar ;
Sharma, Shailesh Kumar ;
Tiwari, Yogesh Kishore .
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2025, 53 (05) :1373-1399