Assessment of Ground Water Potential Zones in Lower Arvathy 2 Watershed, Bengaluru Urban Area Using GIS and Remote Sensing Techniques

dc.contributor.authorSahana R, Reddy
dc.contributor.authorNandashree, D
dc.contributor.authorSanath, Joshi
dc.date.accessioned2017-08-16T11:41:05Z
dc.date.available2017-08-16T11:41:05Z
dc.date.issued2017-08-16T11:41:05Z
dc.description.abstractIncreased demand of water in different sectors and restriction of water resources, necessitate the assessment of groundwater potential zones. Present study is carried out to assess potential groundwater zone and to identify groundwater potential sites in the Lower Arkavathy-2 watershed, Bengaluru Urban District of Karnataka State due to acute shortage of potable water, using Remote Sensing (RS), Geographical Information System (GIS), Multi-Criteria Decision Analysis (MCDA) technique and Weightage Sum Raster Overlay Analysis (WSROA) technique. In this study different thematic layers were prepared viz. drainage, lineament, geology, geomorphology, soil texture, soil depth, land use/land cover, rainfall and slope for identification of groundwater potential zones and potential groundwater recharge sites, which are generated in the RS and GIS environment. The relative weights were assigned to different thematic layers using Analytical Hierarchical Process (AHP). While determining the weightage of the various parameters, expert opinions were taken and the artificial groundwater potential zones and suitable sites for groundwater recharge were deduced. In the present study, five categories of groundwater potential zones were identified viz. very poor, poor, moderate, good and very good according to their suitability of area for groundwater recharge purposes.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/8487
dc.language.isoenen_US
dc.subject1Nh13CV0104en_US
dc.subjectCivil Projects 2017en_US
dc.subjectProjects Civil Engineeringen_US
dc.titleAssessment of Ground Water Potential Zones in Lower Arvathy 2 Watershed, Bengaluru Urban Area Using GIS and Remote Sensing Techniquesen_US
dc.typeOtheren_US
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