Delineation of Groundwater Potential Zones (GWPZ) of Port Blair, Andaman Islands, India, using Multi Influencing Factors (MIF) method and geospatial techniques

2021 ◽  
Vol 24 ◽  
pp. 100631
Author(s):  
Kajal Kumar Mandal ◽  
Avinash Ranjan ◽  
Kesavan Dharanirajan
Keyword(s):  
Influencing Factors ◽  
Groundwater Potential ◽  
Andaman Islands ◽  
Groundwater Potential Zones ◽  
Geospatial Techniques

Delineation of groundwater potential zones in semi-aridregion (Ananatapuram) using geospatial techniques

2021 ◽  
Author(s):  
Veeraswamy Golla ◽  
Pradeep Kumar Badapalli ◽  
balaji etikal ◽  
Vidya Lakshmi sivakumar ◽  
Sai Krishna Telkar
Keyword(s):  
Groundwater Potential ◽  
Groundwater Potential Zones ◽  
Geospatial Techniques

scholarly journals Mapping of groundwater potential zones in the drought-prone areas of south Madagascar using geospatial techniques

2020 ◽  
Vol 11 (4) ◽  
pp. 1403-1413 ◽  
Author(s):  
Charles Serele ◽  
Ana Pérez-Hoyos ◽  
Francois Kayitakire
Keyword(s):  
Groundwater Potential ◽  
Groundwater Potential Zones ◽  
Geospatial Techniques

Identification of Groundwater Potential Zones using AHP and Geospatial Techniques in Western Part of Cuddapah Basin, Andhra Pradesh, India

2020 ◽  
Vol 3 (2) ◽  
pp. 60-71
Author(s):  
Ramachandra M. ◽  
Raghu Babu K. ◽  
Rajasekhar M. ◽  
Pradeep Kumar B.
Keyword(s):  
Andhra Pradesh ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Water Levels ◽  
Geographical Information ◽  
Cuddapah Basin ◽  
Groundwater Potential Zones ◽  
Lineament Density ◽  
Geospatial Techniques ◽  
Hierarchy Process

Present study is carried out for delineation of Groundwater Potential Zones (GWPZ) in Western part of Cuddapah basin, Southern India using Remote Sensing (RS), Geographical Information System (GIS) and Analytical Hierarchy Process (AHP). Various categorized thematic maps: geology, geomorphology (GM), slope, soils, lineament density (LD), drainage density (DD) and gorundwater levels fluctuations (GWLF) were used for mapping and delineation of GWPZs. Suitable and normalized weights were assigned based on AHP to identify GWPZ. The GWPZ map was categorized into five GWPZs types: very poor, poor, moderate, good and very good. About 1.48% (6.05 km2) area is classified in ‘very good’, 25.95% (106.07 km2) in ‘good’, 47.11% (192.53 km2) in ‘moderate’, 22.12% (90.38 km2) in ‘poor’ and 3.34% (13.66 km2) in ‘very poor’ category. The acquired outcomes were validated with water levels fluctuations in pre- and post-monsoon seasons. GIS-based multi-criteria decision making approach is useful for preparation of precise and reliable data. The AHP approach, with the aptitudes of the geospatial data, various data bases can be combined to create conceptual model for identification and estimation of GWPZs.

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