Groundwater Hydrological Model Simulation
Di Salvo, Cristina (editor)
This reprint focuses on the application of groundwater models developed with the aim of optimizing the management of water resources in urban environments, coastal areas, karst aquifers, and riparian zones, among other environments. The testing of innovative techniques applied to traditional models, including machine learning techniques, is of particular interest. Special attention is given to the application of tools for the evaluation of climate change effects on groundwater.
Keywordsgroundwater monitoring; modeling; MODFLOW; kriging; residuals; water levels; Edwards–Trinity aquifer; GIS; remote sensing; groundwater potential assessment; analytical hierarchy processes; weight overlay analysis; West Arsi Zone; groundwater; physically-based models; machine learning models; artificial neural network; random forest; support vector machine; carbonate aquifer; faults and folds; groundwater modelling; multilayer aquifer; MODFLOW-NWT formulation; Central Italy; heat transport; watershed modeling; temperature; climate change; water pollution; solute transport modelling; Geographic Information System (GIS); pollution prevention plans; pharmaceuticals; carbamazepine; longitudinal dispersion coefficient; decay rate coefficient; small island; groundwater storage; groundwater management; geo-electrical survey; density-dependent model; SEAWAT; water security; unsaturated zone; water management; groundwater forecasting; foothill aquifers; Brenta River plain; Empoli plain; Magra Valley; groundwater hydrochemistry; principal component analysis; multi-aquifer system; flow model; contaminant sources; urban hydrogeology; rising groundwater levels; shallow aquifer; 3D geodatabase; horizontal flow barrier; Milan; Italy; n/a
Webshop linkhttps://mdpi.com/books/pdfview ...
Publication date and placeBasel, 2023
Research & information: general