Abstract

Extensive change in land use, climate, and over-exploitation of groundwater has increased pressure on aquifers, especially in the case of crystalline rocks throughout the world. To support sustainability in groundwater management require proper understating of groundwater dynamics and recharge potential. GIS based studies have gained immense popularity in groundwater exploration in recent years because they are fast and provide recent information on the resource for future growth. Thus, the present study utilized a GIS-based Weighted Overlay Index (WOI) model to identify the potential recharge zones and to gain deep knowledge of groundwater dynamics. The in situ infiltration tests have been carried out, which is the key process in groundwater recharge and is neglected in many cases for WOI. In the WOI, ten thematic layers from the parameters influencing and involved in the recharge process are considered to identify potential recharge zones. The results suggested a significant underestimation of recharge potential without considering site-specific infiltration rates that one needs to be considered. The present WOI model considered in situ infiltration information and classified the entire area into four recharge zones, good, moderate, poor, and very poor. The final integrated map compared with the real-time field data like water level fluctuation and infiltration to analyse occurrence and quantification of recharge. The estimated average groundwater draft is 21.9 mcm, while annual renewable recharge is only 5.7 mcm that causing a continuous fall of the groundwater table. The study is useful in selecting regions with more focussed recharge studies and suggested the need of reducing groundwater demand by changing cropping patterns through a predictive decision support tool.

Highlights

  • The efforts made to infiltrate precipitation water as aquifer storage and its quantification based on geospatial information systems make recharge efforts poorly successful over the g­ lobe[15,16]

  • We have attempted to overcome this limitation by integrating intensive insitu infiltration data and high-resolution soils with routine hydrology and hydrogeology data to understand its role in recharge dynamics and compare with existing integration methods to identify suitable recharge sites by taking Maheshwaram crystalline watershed located in South India

  • The present research is an attempt to estimate the reliable groundwater recharge potentials by Weighted Overly Analysis using GIS methods using site specific infiltration rates in a semi-arid watershed located in Telangana state, South India

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Summary

Introduction

The efforts made to infiltrate precipitation water as aquifer storage and its quantification based on geospatial information systems make recharge efforts poorly successful over the g­ lobe[15,16]. The recent advancements in geospatial and digital image processing technologies have empowered researchers to better understand natural recharge processes by using a combination of semi-static information, for example, topography, geology, soil types, vegetation, etc.[14,21,22]. Many researchers have applied geospatial techniques for the integration of different thematic layers, including climate, hydrogeological and hydrological information, to identify suitable recharge sites, for example, in south western ­Asia[12,21,23,24,25,26,27,28], in ­Africa[29,30] and in Arabian ­Peninsula[31,32]. We have attempted to overcome this limitation by integrating intensive insitu infiltration data and high-resolution soils with routine hydrology and hydrogeology data to understand its role in recharge dynamics and compare with existing integration methods to identify suitable recharge sites by taking Maheshwaram crystalline watershed located in South India. The major source of water for irrigation in the area is groundwater

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