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Groundwater Hydrological Model Simulation
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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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Keywords
- 3D geodatabase
- analytical hierarchy processes
- artificial neural network
- Brenta River plain
- carbamazepine
- carbonate aquifer
- central Italy
- Climate Change
- contaminant sources
- decay rate coefficient
- density-dependent model
- Edwards–Trinity aquifer
- Empoli plain
- faults and folds
- flow model
- foothill aquifers
- geo-electrical survey
- Geographic Information System (GIS)
- GIS
- Groundwater
- groundwater forecasting
- groundwater hydrochemistry
- groundwater management
- Groundwater modelling
- groundwater monitoring
- groundwater potential assessment
- groundwater storage
- heat transport
- horizontal flow barrier
- Italy
- kriging
- longitudinal dispersion coefficient
- machine learning models
- Magra Valley
- Milan
- modeling
- MODFLOW
- MODFLOW-NWT formulation
- multi-aquifer system
- multilayer aquifer
- n/a
- pharmaceuticals
- physically-based models
- pollution prevention plans
- principal component analysis
- random forest
- Reference, information & interdisciplinary subjects
- Remote sensing
- Research & information: general
- residuals
- rising groundwater levels
- SEAWAT
- shallow aquifer
- small island
- solute transport modelling
- support vector machine
- temperature
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
- unsaturated zone
- urban hydrogeology
- water levels
- water management
- Water pollution
- Water security
- watershed modeling
- weight overlay analysis
- West Arsi Zone
Links
DOI: 10.3390/books978-3-0365-7143-0Editions