Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India

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 recha...

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Autores principales:	Fauzia, L. Surinaidu, Abdur Rahman, Shakeel Ahmed
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a83eea984468408a87b05c5f33795750
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spelling	oai:doaj.org-article:a83eea984468408a87b05c5f337957502021-12-02T18:24:53ZDistributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India10.1038/s41598-021-90898-w2045-2322https://doaj.org/article/a83eea984468408a87b05c5f337957502021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90898-whttps://doaj.org/toc/2045-2322Abstract 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.FauziaL. SurinaiduAbdur RahmanShakeel AhmedNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fauzia L. Surinaidu Abdur Rahman Shakeel Ahmed Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India
description	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.
format	article
author	Fauzia L. Surinaidu Abdur Rahman Shakeel Ahmed
author_facet	Fauzia L. Surinaidu Abdur Rahman Shakeel Ahmed
author_sort	Fauzia
title	Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India
title_short	Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India
title_full	Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India
title_fullStr	Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India
title_full_unstemmed	Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India
title_sort	distributed groundwater recharge potentials assessment based on gis model and its dynamics in the crystalline rocks of south india
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a83eea984468408a87b05c5f33795750
work_keys_str_mv	AT fauzia distributedgroundwaterrechargepotentialsassessmentbasedongismodelanditsdynamicsinthecrystallinerocksofsouthindia AT lsurinaidu distributedgroundwaterrechargepotentialsassessmentbasedongismodelanditsdynamicsinthecrystallinerocksofsouthindia AT abdurrahman distributedgroundwaterrechargepotentialsassessmentbasedongismodelanditsdynamicsinthecrystallinerocksofsouthindia AT shakeelahmed distributedgroundwaterrechargepotentialsassessmentbasedongismodelanditsdynamicsinthecrystallinerocksofsouthindia
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Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India

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