Geospatial delineation of groundwater recharge potential zones in the Deccan basaltic province, India

被引:0
作者
Rajarshi Saha
Tushar Wankhede
Iswar Chandra Das
Vinod Kumar Kumaranchat
Satyanarayana Kurry Reddy
机构
[1] National Remote Sensing Centre,Geosciences Group
[2] ISRO,Department of Geology, College of Science & Technology
[3] Andhra University,undefined
关键词
Groundwater recharge; AHP; MIF; Geospatial; Sustainable development;
D O I
10.1007/s12517-023-11323-2
中图分类号
学科分类号
摘要
The water-scarce drought-prone Manjeera basin, of the Deccan basaltic province, is facing the relentless threat of groundwater over-exploitation. This region needs a reliable strategy to overcome groundwater scarcity as this province is of great hydrogeological significance. There is a deficiency of dependable information about the groundwater recharge potential zone (GWRPZ) for this province. Groundwater recharge (GWR) is vital for creating a balance in water resources. With the aim of solving this severe water crisis, this study was conducted. This study is a very potent hybrid approach of satellite imagery and digital elevation model along with other ancillary data analysis using ArcGIS software geospatial platform with multi-criteria decision analysis (MCDA) driven analytical hierarchy process (AHP) and multi-influencing factor (MIF) models for GWRPZ map delineation. Crucial hydrogeological variables were utilized to achieve an efficient GWRPZ map for effective artificial recharge planning. The derived maps were classified into four distinct zones, viz. very good, good, moderate and poor. Critical parameters like branching factor (BF) (0.16 and 0.12), miss factor (MF) (0.11 and 0.26), detection percentage (DP) (89.86% and 79.17%) and overall quality percentage (OQP) (78.48% and 72.15%) demonstrated good prediction accuracy for AHP and MIF respectively. This research output may assist the planners/policymakers/local administration in precise groundwater development and recharge strategies to achieve a sustainable groundwater development scenario.
引用
收藏
相关论文
共 50 条
  • [31] Using machine learning algorithms to map the groundwater recharge potential zones
    Pourghasemi, Hamid Reza
    Sadhasivam, Nitheshnirmal
    Yousefi, Saleh
    Tavangar, Shahla
    Nazarlou, Hamid Ghaffari
    Santosh, M.
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 265
  • [32] An integrated geospatial multi-influencing factor approach to delineate and identify groundwater potential zones in Kabul Province, Afghanistan
    Nasir, Muhammad Jamal
    Khan, Sajjad
    Ayaz, Tehreem
    Khan, Amir Zeb
    Ahmad, Waqas
    Lei, Ming
    ENVIRONMENTAL EARTH SCIENCES, 2021, 80 (13)
  • [33] Delineation of Groundwater Potential Zones Using Geospatial Techniques. Case Study: Roman City and the Surrounding Area in the Northeastern Region, Romania
    Bogdan, Petrut-Liviu
    Nedeff, Valentin
    Panainte-Lehadus, Mirela
    Chitimus, Dana
    Barsan, Narcis
    Nedeff, Florin Marian
    WATER, 2024, 16 (21)
  • [34] Mapping of Groundwater Recharge Zones in Hard Rock Aquifer through Analytic Hierarchy Process in Geospatial Platform
    Subramani, Deepa
    Kamaraj, Pradeep
    Kumar, Umayadoss Saravana
    Sabarathinam, Chidambaram
    WATER, 2024, 16 (11)
  • [35] Geospatial techniques amalgamated with two-dimensional electrical resistivity imaging for delineation of groundwater potential zones in West Guji Zone, Ethiopia
    Rajendran, Gangadharan
    Mohammed, Mustefa
    Shivakumar, Sandesh
    Merera, Waktola
    Taddese, Kumarra
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2020, 11
  • [36] A geostatistical approach for delineating the potential groundwater recharge zones in the hard rock terrain of Tirunelveli taluk, Tamil Nadu, India
    Kirubakaran, M.
    Johnny, J. Colins
    Ashokraj, C.
    Arivazhagan, S.
    ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (05)
  • [37] A geostatistical approach for delineating the potential groundwater recharge zones in the hard rock terrain of Tirunelveli taluk, Tamil Nadu, India
    M. Kirubakaran
    J. Colins Johnny
    C. Ashokraj
    S. Arivazhagan
    Arabian Journal of Geosciences, 2016, 9
  • [38] Identification of Groundwater Potential Zones using geospatial techniques in the Varattar sub- basin, Dharmapuri district, South India
    Mahanuradha, P.
    Pragadeesw, Aran P.
    JOURNAL OF GEOLOGY GEOGRAPHY AND GEOECOLOGY, 2022, 31 (04): : 668 - 677
  • [39] An Assessment of Geospatial Analysis Combined with AHP Techniques to Identify Groundwater Potential Zones in the Pudukkottai District, Tamil Nadu, India
    Arumugam, Muruganantham
    Kulandaisamy, Prabakaran
    Karthikeyan, Sivakumar
    Thangaraj, Kongeswaran
    Senapathi, Venkatramanan
    Chung, Sang Yong
    Muthuramalingam, Subagunasekar
    Rajendran, Muthuramalingam
    Sugumaran, Sathish
    Manimuthu, Siva
    WATER, 2023, 15 (06)
  • [40] Assessment of groundwater potential zones in Saroor Nagar watershed, Telangana, India, using geospatial techniques and analytical hierarchy process
    Vaddiraju, Shiva Chandra
    Talari, Reshma
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (33) : 79758 - 79773