WSTA 15th Gulf Water Conference

WSTA 15th Gulf Water Conference
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Artificial intelligence application in hydrogeology and groundwater management

Khalid ElHaj, Dalal Alshamsi

(2025) 81–83 doi: 10.5004/.700105

pdf_ico.png Abstract

Groundwater management involves overseeing groundwater resources to ensure their ideal utilization and long-term sustainability. More than two billions of the world population depend on groundwater resources as their main water source, as a result, managing such an important resources would be of paramount importance to governments. This would be even more important for countries like UAE where groundwater provides about 51% of the total water budget . Managing groundwater resources involves many aspects, including observing its usage and predicting its future utilization, evaluating the scenarios affecting its utilization and any kind of adverse effects it can have on public health. In addition to aquifer delineation, pollution indicators, and any kind of relation the different aquifers may maintain with each other.

Keywords: Groundwater management; Machine learning; Aquifer delineation; Groundwater salinity; Artificial neural networks; Hydrogeochemistry; Hydrochemical fingerprints; Hierarchical clustering; Geomodelling

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