Effective modelling of percolation at the landscape scale using data-based approaches

Computers and Geosciences

Volumn 34, Issue 6, 2008, Pages 699-713

  Selle, Benny ^a   Lischeid, Gunnar ^a   Huwe, Bernd ^a  

^a UNIVERSITY OF BAYREUTH   (Germany)

Author keywords

Groundwater recharge; Lumped models; Metamodel; Neural networks; Pattern recognition techniques; Soil hydrology; Upscaling

Indexed keywords

BOUNDARY CONDITIONS; FEEDFORWARD NEURAL NETWORKS; GROUNDWATER; HYDROLOGY; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION; SOILS; WATER QUALITY;

GROUNDWATER RECHARGE; LANDSCAPE SCALE; LUMPED MODELS; SOIL HYDROLOGY;

PERCOLATION (FLUIDS);

BOUNDARY CONDITIONS; FEEDFORWARD NEURAL NETWORKS; GROUNDWATER; HYDROLOGY; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION; PERCOLATION (FLUIDS); SOILS; WATER QUALITY;

ARTIFICIAL NEURAL NETWORK; BOUNDARY CONDITION; GROUNDWATER; HYDROLOGY; LAND USE CHANGE; LANDSCAPE; MODELING; MULTIPLE REGRESSION; NUMERICAL METHOD; PERCOLATION; RECHARGE; SOIL PROPERTY; SOIL WATER; SPATIAL DISTRIBUTION; UPSCALING; WATER QUALITY;

EID: 40949130383     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2007.06.007     Document Type: Article

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