Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India

Among all other natural resources, groundwater is one of the most essential for environmental, biological, and socioeconomic activities. Several factors such as geology, distance from the river, geomorphology, slope, land-use, drainage density, lineament density, soil, and rainfall influence groundw...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Arjun B. Doke, Rajendra B. Zolekar, Hemlata Patel, Sumit Das
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Groundwater potential GIS Multi-Criteria Decision Making AHP Ulhas India Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/6a6232934b2846bea4ee40f5a3c2dc54
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:6a6232934b2846bea4ee40f5a3c2dc54
record_format	dspace
spelling	oai:doaj.org-article:6a6232934b2846bea4ee40f5a3c2dc542021-12-01T04:51:14ZGeospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India1470-160X10.1016/j.ecolind.2021.107685https://doaj.org/article/6a6232934b2846bea4ee40f5a3c2dc542021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21003502https://doaj.org/toc/1470-160XAmong all other natural resources, groundwater is one of the most essential for environmental, biological, and socioeconomic activities. Several factors such as geology, distance from the river, geomorphology, slope, land-use, drainage density, lineament density, soil, and rainfall influence groundwater recharge and its availability. In this study, an integrated approach of Geographical Information System (GIS) based Multi-Criteria Decision Making (MCDM), Analytical Hierarchy Process (AHP), and remote sensing were used for geospatial mapping of groundwater. For the determination of influencing factors, an extensive literature review was considered to form a pairwise comparison matrix (PCM) and calculate the weight of each factor. The scores of the sub-parameters were also assigned based on published literature, and after that, the weighted overlay analysis (WOA) tool in ArcGIS10.1 was used to produce the final groundwater potential map. About 14% (684 km2) of the study area is recognized as ‘high groundwater potential zone’, 34% (1591 km2) in ‘moderate groundwater potential zone’, 27% (1291 km2) in ‘low groundwater potential zone’ and the remaining 24% (1141 km2) in ‘poor groundwater potential zone’. In the accuracy assessment, the groundwater potential zones i.e. high, moderate, and poor in suitability map is precisely estimated contrasting to the zone ‘low’ in the producer’s point of view, but high and poor groundwater zones detected more precisely compared to others in user’s point of view. The methodology, techniques, and results of the current investigation may be useful to evaluate the groundwater potential zone in similar drought-prone regions around the world.Arjun B. DokeRajendra B. ZolekarHemlata PatelSumit DasElsevierarticleGroundwater potentialGISMulti-Criteria Decision MakingAHPUlhasIndiaEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107685- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Groundwater potential GIS Multi-Criteria Decision Making AHP Ulhas India Ecology QH540-549.5
spellingShingle	Groundwater potential GIS Multi-Criteria Decision Making AHP Ulhas India Ecology QH540-549.5 Arjun B. Doke Rajendra B. Zolekar Hemlata Patel Sumit Das Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India
description	Among all other natural resources, groundwater is one of the most essential for environmental, biological, and socioeconomic activities. Several factors such as geology, distance from the river, geomorphology, slope, land-use, drainage density, lineament density, soil, and rainfall influence groundwater recharge and its availability. In this study, an integrated approach of Geographical Information System (GIS) based Multi-Criteria Decision Making (MCDM), Analytical Hierarchy Process (AHP), and remote sensing were used for geospatial mapping of groundwater. For the determination of influencing factors, an extensive literature review was considered to form a pairwise comparison matrix (PCM) and calculate the weight of each factor. The scores of the sub-parameters were also assigned based on published literature, and after that, the weighted overlay analysis (WOA) tool in ArcGIS10.1 was used to produce the final groundwater potential map. About 14% (684 km2) of the study area is recognized as ‘high groundwater potential zone’, 34% (1591 km2) in ‘moderate groundwater potential zone’, 27% (1291 km2) in ‘low groundwater potential zone’ and the remaining 24% (1141 km2) in ‘poor groundwater potential zone’. In the accuracy assessment, the groundwater potential zones i.e. high, moderate, and poor in suitability map is precisely estimated contrasting to the zone ‘low’ in the producer’s point of view, but high and poor groundwater zones detected more precisely compared to others in user’s point of view. The methodology, techniques, and results of the current investigation may be useful to evaluate the groundwater potential zone in similar drought-prone regions around the world.
format	article
author	Arjun B. Doke Rajendra B. Zolekar Hemlata Patel Sumit Das
author_facet	Arjun B. Doke Rajendra B. Zolekar Hemlata Patel Sumit Das
author_sort	Arjun B. Doke
title	Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India
title_short	Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India
title_full	Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India
title_fullStr	Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India
title_full_unstemmed	Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India
title_sort	geospatial mapping of groundwater potential zones using multi-criteria decision-making ahp approach in a hardrock basaltic terrain in india
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/6a6232934b2846bea4ee40f5a3c2dc54
work_keys_str_mv	AT arjunbdoke geospatialmappingofgroundwaterpotentialzonesusingmulticriteriadecisionmakingahpapproachinahardrockbasalticterraininindia AT rajendrabzolekar geospatialmappingofgroundwaterpotentialzonesusingmulticriteriadecisionmakingahpapproachinahardrockbasalticterraininindia AT hemlatapatel geospatialmappingofgroundwaterpotentialzonesusingmulticriteriadecisionmakingahpapproachinahardrockbasalticterraininindia AT sumitdas geospatialmappingofgroundwaterpotentialzonesusingmulticriteriadecisionmakingahpapproachinahardrockbasalticterraininindia
_version_	1718405728041959424

Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India

Ejemplares similares