Remote Sensing and GIS for Sustainable Aquifer Recharge Management in the Cuddalore Coastal Zone, Tamil Nadu, India

This study identifies optimal sites for managed aquifer recharge (MAR) to mitigate groundwater depletion and seawater intrusion in coastal aquifers of Cuddalore district, Tamil Nadu. Using geospatial techniques, it integrates lithology, soil, geology, geomorphology, LULC and aquifer characteristics with GIS-based multi-criteria decision analysis. The Analytical Hierarchy Process (AHP) ranks influencing factors to delineate groundwater potential zones. Approximately 468 km² is classified as having high recharge potential, recommending recharge shafts, percolation ponds and injection wells to enhance groundwater levels by 3-5 meters annually and mitigate seawater intrusion. Validation with 20 years of hydrological data supports the suitability of these zones, emphasizing their role in sustainable water management. The study addresses increasing groundwater stress due to rapid urbanization and climate variability, promoting the use of non-traditional water sources and strategically planned MAR structures. The findings highlight MAR’s potential to replenish aquifers, to improve water quality and to meet the water demands of coastal regions.

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Publication Details

Journal
Disaster Advances
Published
2025-05-31
DOI
https://doi.org/10.25303/187da068077
Primary Topic
Groundwater and Watershed Analysis
Type
article
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article

Remote Sensing and GIS for Sustainable Aquifer Recharge Management in the Cuddalore Coastal Zone, Tamil Nadu, India

Prabhakaran Moorthy, A. Kamalakannan, C. Lakshumanan, Sridhar Sundaramoorthy
Disaster Advances
Groundwater and Watershed Analysis
article

Remote Sensing and GIS for Sustainable Aquifer Recharge Management in the Cuddalore Coastal Zone, Tamil Nadu, India

Prabhakaran Moorthy, A. Kamalakannan, C. Lakshumanan, Sridhar Sundaramoorthy
article en

Abstract

This study identifies optimal sites for managed aquifer recharge (MAR) to mitigate groundwater depletion and seawater intrusion in coastal aquifers of Cuddalore district, Tamil Nadu. Using geospatial techniques, it integrates lithology, soil, geology, geomorphology, LULC and aquifer characteristics with GIS-based multi-criteria decision analysis. The Analytical Hierarchy Process (AHP) ranks influencing factors to delineate groundwater potential zones. Approximately 468 km² is classified as having high recharge potential, recommending recharge shafts, percolation ponds and injection wells to enhance groundwater levels by 3-5 meters annually and mitigate seawater intrusion. Validation with 20 years of hydrological data supports the suitability of these zones, emphasizing their role in sustainable water management. The study addresses increasing groundwater stress due to rapid urbanization and climate variability, promoting the use of non-traditional water sources and strategically planned MAR structures. The findings highlight MAR’s potential to replenish aquifers, to improve water quality and to meet the water demands of coastal regions.

Disaster AdvancesVol. 18(7)
Sustainable cities and communities
Openalex Percentile: Top 87%
Groundwater and Watershed Analysis
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Remote Sensing and GIS for Sustainable Aquifer Recharge Management in the Cuddalore Coastal Zone, Tamil Nadu, India — Prabhakaran Moorthy, A. Kamalakannan, et al. · Disaster Advances (2025) | TGRS Research Map | TGRS