3.9 Article

Modelling groundwater potential zone using fuzzy logic and geospatial technology of an deltaic island

Journal

MODELING EARTH SYSTEMS AND ENVIRONMENT
Volume 8, Issue 4, Pages 5565-5584

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40808-022-01392-9

Keywords

Groundwater potential zone; Fuzzy-analytical hierarchy process; Remote sensing; Geographic information system

Funding

  1. Department of Science and Technology (DST)
  2. Natural Rural Data Management System (NRDMS), Govt of India

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This research successfully identified and categorized the groundwater potential zones in Sagar Island, South 24 Parganas, West Bengal, India using remote sensing-geographic information system (RS-GIS) technology and the Fuzzy-AHP approach. The study utilized 10 geo-environmental parameters to demarcate the zones, and validation results confirmed the reliability of the findings for long-term planning and management of groundwater resources in coastal areas.
Increasing urbanization and growth of population have increased the demand for various water resources especially the groundwater resources in Sagar Island, South 24 Parganas, West Bengal, India. Thus Groundwater resources should be managed properly with the application of various scientific propositions and modern techniques. In this research, identification of groundwater potential zonation (GWPZ) has been done using remote sensing-geographic information system (RS-GIS) technology and Fuzzy-AHP approach on a single platform. The main objective of the research is to use the Fuzzy-AHP approach to demarcate GWPZs utilizing 10 geo-environmental parameters. The study successfully identifies the GWPZs within the area of interest and categorizes GWPZs has been classified into five different classes following the groundwater availability that is very high potential 6.84%), high (36.23%), medium (27.68%), low (17.53%) and very low (11.72%). The originated GWPZ map has been verified using geophysical data collected from the field survey to test the model's performance. The validation results demonstrated that the applied technique yields considerably reliable findings that can aid in long-term planning and management for sustainable use of groundwater resources in different coastal tracts.

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