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Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India
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 poten...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175507/ https://www.ncbi.nlm.nih.gov/pubmed/34083557 http://dx.doi.org/10.1038/s41598-021-90898-w |
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author | Fauzia Surinaidu, L. Rahman, Abdur Ahmed, Shakeel |
author_facet | Fauzia Surinaidu, L. Rahman, Abdur Ahmed, Shakeel |
author_sort | Fauzia |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8175507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81755072021-06-07 Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India Fauzia Surinaidu, L. Rahman, Abdur Ahmed, Shakeel Sci Rep Article 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. Nature Publishing Group UK 2021-06-03 /pmc/articles/PMC8175507/ /pubmed/34083557 http://dx.doi.org/10.1038/s41598-021-90898-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Fauzia Surinaidu, L. Rahman, Abdur Ahmed, Shakeel Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175507/ https://www.ncbi.nlm.nih.gov/pubmed/34083557 http://dx.doi.org/10.1038/s41598-021-90898-w |
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