Neurocomputing Modelling of Hydrochemical and Physical Properties of Groundwater Coupled with Spatial Clustering, GIS, and Statistical Techniques

Groundwater (GW) is a critical freshwater resource for billions of individuals worldwide. Rapid anthropogenic exploitation has increasingly deteriorated GW quality and quantity. Reliable estimation of complex hydrochemical properties of GW is crucial for sustainable development. Real field and exper...

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Veröffentlicht in:	Sustainability 2022-02, Vol.14 (4), p.2250
Hauptverfasser:	Benaafi, Mohammed, Yassin, Mohamed A., Usman, A. G., Abba, S. I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Anthropogenic factors Aquifers Artificial intelligence Back propagation networks Benchmarks Calcium ions Clustering Computational neuroscience Decision making Dissolved solids Environmental protection Freshwater resources Geographic information systems Groundwater Literature reviews Machine learning Magnesium Neural networks Neurocomputing Physical properties Regions Root-mean-square errors Salinity Sandstone Statistical analysis Sustainability Sustainable development Time series Total dissolved solids Water quality Water shortages
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