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Data on artificial recharge sites identified by geospatial tools in semi-arid region of Anantapur District, Andhra Pradesh, India.

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TLDR
Based on the groundwater potential index values, the study area is classified into four different groundwater potential zones such as ‘good’, ‘moderate to good‘, ’moderate’ and ‘poor’.
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This article is published in Data in Brief.The article was published on 2018-08-01 and is currently open access. It has received 21 citations till now. The article focuses on the topics: Groundwater recharge & Hydrogeomorphology.

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Journal ArticleDOI

Delineation of groundwater potential zones in semi-arid region of Jilledubanderu river basin, Anantapur District, Andhra Pradesh, India using fuzzy logic, AHP and integrated fuzzy-AHP approaches

TL;DR: In this paper, the ability of three decision-making approaches, namely fuzzy logic (FL), analytical hierarchy process (AHP) and integrated Fuzzy-AHP techniques in groundwater potentiality mapping was evaluated.
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Identification of groundwater recharge-based potential rainwater harvesting sites for sustainable development of a semiarid region of southern India using geospatial, AHP, and SCS-CN approach

TL;DR: In this paper, an analytical hierarchical process (AHP) was carried out by assigning different weights to different thematic layers to determine the potential recharge zone (PRZ) and RWH sites.
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Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

TL;DR: In this paper, the analytical hierarchy process (AHP) and the multi-influencing factors (MIF) were applied to map GWRZs in the Korba aquifer in northeastern Tunisia.
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Finite Difference Modelings of Groundwater Flow for Constructing Artificial Recharge Structures

TL;DR: In this paper, root mean square error and coefficient of residual mass have been used to evaluate the results of calibration and verification process obtained by PMWIN software, and two strategies of artificial recharge were incorporated for considering the water table fluctuations.
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Assessment of groundwater potential zones in parts of the semi-arid region of Anantapur District, Andhra Pradesh, India using GIS and AHP approach

TL;DR: In this paper, the authors used the analytical hierarchy process (AHP) approach to identify possible groundwater areas of India and found that the basic GIS-based AHP approach is capable of producing accurate and reliable for better planning and managing the resources in an effective way.
References
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Journal ArticleDOI

Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites

TL;DR: In this article, an integrated approach of remote sensing and GIS has been proposed to select suitable sites for groundwater recharge in a hard rock area through recharge basins or reservoirs, using an integrated framework of Remote Sensing and Geographic Information System (RIS).
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An approach to demarcate ground water potential zones through remote sensing and a geographical information system

TL;DR: In order to demarcate the ground water potential zones of Marudaiyar basin different thematic maps such as, lithology, landforms, lineaments and surface water bodies at a 1: 50000 scale were prepared, using remotely-sensed data as well as drainage density and slope classes from Survey of India topographical sheets as mentioned in this paper.
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Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon

TL;DR: In this paper, the case of Occidental Lebanon, with an area of around 5,000 km2, was studied by the integration of all factors influencing this hydrologic process.
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Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea

TL;DR: In this paper, the authors combined remote sensing, evaluation of digital elevation models (DEM), geographic information systems (GIS) and fieldwork techniques to study the groundwater conditions in Eritrea.
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Role of geological and geomorphological factors in ground water exploration: a study using IRS LISS data

TL;DR: In this article, three different test sites in the form of drainage basins representing diverse geological set ups in parts of Karnataka, India have been chosen to compare and evaluate the various factors that govern the ground water occurrence and also to assess the utility of Indian Remote Sensing Satellite (IRS) sensor data in ground water mapping and condition assessment.
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