Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India

An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

“…The use of remote sensing data in hydrological investigations can give information on spatial and temporal scales, which is necessary for effective analysis, prediction, and validation of hydrological models [30]. Satellite imagery's capacity to span vast spatial scales is vital for depicting physiographic and structural characteristics, which are essential requirements for delineating potential groundwater zones [30] and have been used by various researchers [35][36][37][38][39][40][41].…”

“…The ability of RS and GIS to gather, manipulate, and cover vast amounts of data in a short amount of time makes it a more effective tool for identifying, analyzing, and preserving groundwater resources. As a result, multiple data sources can be incorporated into a GIS platform to build conceptual models for identifying potential groundwater zones in a given area [31,32,37,44,45].…”

“…Incorporating RS and GIS into groundwater potentiality mapping allows for data storage, manipulation, and analysis [44,47]. Integrated GIS and RS with AHP prove that it is a handy tool for delineating potential groundwater zones by reducing time and cost [4,17,32,37,41,44,45,[48][49][50]. Researchers adopt various techniques for delineation potential groundwater zones: statistical method [51], influence factor (IMF) [36,38,40,52], groundwater modelling, the combination of GIS, RS with AHP [37,41,45,49], and GIS-based machine learning [39,53,54].…”

“…Integrated GIS and RS with AHP prove that it is a handy tool for delineating potential groundwater zones by reducing time and cost [4,17,32,37,41,44,45,[48][49][50]. Researchers adopt various techniques for delineation potential groundwater zones: statistical method [51], influence factor (IMF) [36,38,40,52], groundwater modelling, the combination of GIS, RS with AHP [37,41,45,49], and GIS-based machine learning [39,53,54]. Many researchers have adopted these methods since they have been demonstrated to be reliable and effective.…”

“…AHP is recommended among these methods when there are several alternatives for a set of pairwise comparisons and a lack of adequate valid data for analysis [30,55]. Recently, remote sensing and GIS coupled with AHP techniques have been adopted as a standard methodology for delineating potential groundwater zones in semi-arid areas [37,41,45,49]. AHP is used in conjunction with RS-GIS techniques to delineate possible groundwater zones in the Kilinochchi district.…”