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A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation

Author
TAPOGLOU, Evdokia1 ; KARATZAS, George P1 ; TRICHAKIS, Ioannis C2 ; VAROUCHAKIS, Emmanouil A1
[1] School of Environmental Engineering, Technical University of Crete, Polytechneioupolis, Chania 7310, Greece
[2] European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Water Resources Unit, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy
Source

Journal of hydrology (Amsterdam). 2014, Vol 519, pp 3193-3203, 11 p ; d ; ref : 1 p.1/4

CODEN
JHYDA7
ISSN
0022-1694
Scientific domain
Geology
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Artificial Neural Networks Groundwater hydraulic head simulation Kriging Spatial and temporal simulation
Keyword (fr)
Algorithme Aquifère Distribution temporelle Eau souterraine Hydraulique Krigeage Logique floue Modèle Niveau piézométrique Performance Réseau neuronal Simulation numérique Variation spatiale Variation temporelle Variogramme Bavière Allemagne Europe Centrale Europe
Keyword (en)
algorithms aquifers temporal distribution ground water hydraulics kriging fuzzy logic models water table performances neural networks digital simulation spatial variations time variations variograms Bavaria Germany Germany Central Europe Europe
Keyword (es)
Algoritmo Distribución temporal Agua subterránea Hidraúlica Modelo Red neuronal Simulación numérica Variación espacial Variación temporal Baviera Alemania Europa central Europa
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01N Hydrology. Hydrogeology / 001E01N02 Hydrogeology

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
29080841

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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