Delineation of Groundwater Potential Zones in River Basins Using Geospatial Tools—an Example from Southern Western Ghats, Kerala, India

2017 ◽  
Vol 1 (1-2) ◽  
Author(s):  
Hema C. Nair ◽  
D. Padmalal ◽  
Ammini Joseph ◽  
P. G. Vinod
Keyword(s):  
Western Ghats ◽  
River Basins ◽  
Groundwater Potential ◽  
Groundwater Potential Zones ◽  
Geospatial Tools ◽  
Southern Western Ghats

GIS and RS intelligence in delineating the groundwater potential zones in Arid Regions: a case study of southern Aseer, southwestern Saudi Arabia

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mohd Yawar Ali Khan ◽  
Mohamed ElKashouty ◽  
Ali Mohammad Subyani ◽  
Fuqiang Tian ◽  
Waleed Gusti
Keyword(s):  
Saudi Arabia ◽  
Primary Source ◽  
Groundwater Potential ◽  
Integrated Analysis ◽  
Groundwater Potential Zones ◽  
Geospatial Tools ◽  
Porosity And Permeability ◽  
Proterozoic Basement ◽  
Dug Well ◽  
Very High

AbstractProterozoic basement aquifers are the primary source of water supply for the local populations in the Aseer (also spelled “Asir” or “Assir”) province located in the southwest of Saudi Arabia (SA) since high evaporation rates and low rainfall are experienced in the region. Groundwater assets are receiving a lot of attention as a result of the growing need for water due to increased urbanization, population, and agricultural expansion. People have been pushed to seek groundwater from less reliable sources, such as fracture bedrocks. This study is centered on identifying the essential contributing parameters utilizing an integrated multi-criteria analysis and geospatial tools to map groundwater potential zones (GWPZs). The outcome of the GWPZs map was divided into five categories, ranging from very high to negligible potential. The results concluded that 57% of the investigated area (southwestern parts) showed moderate to very high potentials, attributed to Wadi deposits, low topography, good water quality, and presence of porosity and permeability. In contrast, the remaining 43% (northeastern and southeastern parts) showed negligible aquifer potential zones. The computed GWPZs were validated using dug well sites in moderate to very high aquifer potentials. Total dissolved solids (TDS) and nitrate (NO32−) concentrations were highest and lowest in aquifers, mainly in negligible and moderate to very high potential zones, respectively. The results were promising and highlighted that such integrated analysis is decisive and can be implemented in any region facing similar groundwater expectations and management.

Morphometrical analysis of two tropical mountain river basins of contrasting environmental settings, the southern Western Ghats, India

2011 ◽  
Vol 66 (8) ◽  
pp. 2353-2366 ◽  
Author(s):  
Jobin Thomas ◽  
Sabu Joseph ◽  
K. P. Thrivikramji ◽  
George Abe ◽  
N. Kannan
Keyword(s):  
Western Ghats ◽  
River Basins ◽  
Mountain River ◽  
Tropical Mountain ◽  
Morphometrical Analysis ◽  
Southern Western Ghats

scholarly journals Groundwater Potential Zone Mapping using Geo-spatial Tools for Watersheds in Upper Bhima Basin, Pune, India

2019 ◽  
Vol 8 (4) ◽  
pp. 3548-3555
Keyword(s):  
Satellite Image ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Controlling Factors ◽  
Groundwater Potential Zone ◽  
Subsurface Water ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Knowledge Based ◽  
Geospatial Tools

Water is one of the primary requirements of any region for sustainable economic development. There are number of limitations regarding availability of surface and subsurface water due to various reasons, hence exploration of groundwater becomes inevitable. Main objective of this study was to map groundwater potential zones for study area using geospatial tools; which comprises of watersheds in Upper Bhima Basin, Pune district. The primary groundwater controlling factors considered are geomorphology, soil, land use land cover, slope, drainage density and lineament density; for which respective maps were prepared using satellite image, toposheets and incidental data. Maps for various layers according to above said controlling factors were generated from different data collected. Finally these thematic layers were integrated using ArcGIS software to prepare groundwater potential zone map for the study area. Groundwater potential zones were marked as ‘very poor, ‘poor’, ‘moderate’, ‘good’ and ‘very good’, based on knowledge based weightage factor. This, geo-spatial techniques based, result was validated using field data collected from the study area. It is concluded that using geospatial tool, identification and mapping for groundwater potential zones become comparatively easy task with saving lot of time and cost and with greater accuracy.

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