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

http://doi.org/10.5004/700105

Artificial intelligence application in hydrogeology and groundwater management

Khalid ElHaj1,2, Dalal Alshamsi1,2

1Department of Geosciences, United Arab Emirates University, Al Ain, P.O. Box 15551, UAE
2National Water and Energy Center, United Arab Emirates University, Al Ain, P.O. Box 15551, UAE

https://doi.org/10.5004/700105

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

$45.00

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