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Groundwater Hydrological Model Simulation

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,...

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Furkejuvvon:
Materiálatiipa: Online
Giella:eaŋgalasgiella
Almmustuhtton: MDPI - Multidisciplinary Digital Publishing Institute 2023
Fáttát:
groundwater 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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
Liŋkkat:ONIX_20230511_9783036571423_50
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Čoahkkáigeassu: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.

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