Abstract
The groundwater quality in semiarid aquifers can deteriorate very rabidly, due to many factors. The most important factor affecting the quality of groundwater quality in Gaza Strip aquifer is the excess pumping due to the high population density in the area. The aim of this study is to investigate the impact of pumping on groundwater salinity using artificial neural networks (ANNs)-based model. For detailed study of the impact of pumping on chloride concertation, hypothetical cases of input variables have been assumed to study the influence of the pumping on the chloride concertation. The developed model with three levels of uncertainty has generated these cases. Results proved that groundwater salinity would be improved if the pumping rate is reduced. Based on the results of this study, an urgent calling for developing other drinking water resources to secure the water demand is the most effective solution to decrease the groundwater salinity.
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Seyam, M. (2022). Modeling the Effect of the Pumping Variations on the Groundwater Quality in the Semiarid Aquifers. In: Heggy, E., Bermudez, V., Vermeersch, M. (eds) Sustainable Energy-Water-Environment Nexus in Deserts. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-76081-6_1
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