2024
DOI: 10.1007/s11356-024-35529-3
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Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges

Abdul Gaffar Sheik,
Arvind Kumar,
Anandan Govindan Sharanya
et al.

Abstract: Managed aquifer recharge (MAR) replenishes groundwater by artificially entering water into subsurface aquifers. This technology improves water storage, reduces over-extraction, and ensures water security in water-scarce or variable environments. MAR systems are complex, encompassing various components such as water storage, soil, meteorological factors, groundwater management (GWM), and receiving bodies. Over the past decade, the utilization of machine learning (ML) methodologies for MAR modeling and predictio… Show more

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