GIS and Geostatistical Techniques for Groundwater Science 2019
DOI: 10.1016/b978-0-12-815413-7.00025-0
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Delineation of Groundwater Potential Zones in Hard Rock Terrain Using Integrated Remote Sensing, GIS and MCDM Techniques: A Case Study From Vamanapuram River Basin, Kerala, India

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Cited by 23 publications
(12 citation statements)
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“…The slope refers to the inclination of a surface to the horizontal. It is a crucial variable that directly influences infiltration rate and surface runoff in a specific area, determining the groundwater recharge process [55][56][57][58]. A steep slope retains little time the water on the surface, decreasing infiltration and groundwater recharge due to the runoff flowing rapidly.…”
Section: Slopementioning
confidence: 99%
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“…The slope refers to the inclination of a surface to the horizontal. It is a crucial variable that directly influences infiltration rate and surface runoff in a specific area, determining the groundwater recharge process [55][56][57][58]. A steep slope retains little time the water on the surface, decreasing infiltration and groundwater recharge due to the runoff flowing rapidly.…”
Section: Slopementioning
confidence: 99%
“…In the region, this variable was identified as a dominant factor in the groundwater recharge process [53]. A region with high rainfall levels is considered an area with higher water potential and vice-versa [56]. Data on average annual rainfall from the last 40 years (1981-2021) was obtained from the Climate Hazards Group Infra-Red Precipitation with Station data (CHIRPS) datasets.…”
Section: Rainfallmentioning
confidence: 99%
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“…The geomorphic landforms are of paramount importance in the evaluation of the groundwater potential (Roy et al 2019) due to diverse lithology and undulating structures created by long periods of surface processing (Rejith et al 2019). On the other hand, the geological characteristics reflect the aquifer status and thereby the groundwater storage (Çelik 2019).…”
Section: Creation Of Thematic Mapsmentioning
confidence: 99%
“…The largest area of 3233.33 km 2 (91.60%) was covered by forests, followed by croplands with 129.89 km 2 (3.68%), sandbanks 62.75 km 2 (1.78%), built-up 51.15 km 2 (1.45%), wasteland 47.60 km 2 (1.35%) and water bodies 5.14 km 2 (0.14%). The high weights were assigned to water bodies, sandbanks (Rejith et al 2019), forest cover, and cropland, while low weights to the built-up areas and wasteland (Arulbalaji et al 2019).…”
Section: Land Use/ Land Covermentioning
confidence: 99%