Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter

Mathematical Geosciences

Volumn 44, Issue 2, 2012, Pages 169-185

  Zhou, Haiyan ^a   Li, Liangping ^a   Franssen, Harrie Jan Hendricks ^b   Gómez Hernández, J Jaime ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

Groundwater modeling; Hard data; Large heterogeneity; Non multi Gaussian; Parameter identification; Uncertainty

Indexed keywords

GROUNDWATER MODELING; HARD DATA; LARGE HETEROGENEITY; NON-MULTI-GAUSSIAN; UNCERTAINTY;

AQUIFERS; HYDRAULIC CONDUCTIVITY; HYDROGEOLOGY; IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERS; PATTERN RECOGNITION;

GROUNDWATER RESOURCES;

AQUIFER; BIMODAL ASSOCIATION; ENSEMBLE FORECASTING; GAUSSIAN METHOD; HISTOGRAM; HYDRAULIC CONDUCTIVITY; KALMAN FILTER; PARAMETERIZATION; PATTERN RECOGNITION; PIEZOMETER; SPATIAL DISTRIBUTION; UNCERTAINTY ANALYSIS;

EID: 84856745403     PISSN: 18748961     EISSN: 18748953     Source Type: Journal    
DOI: 10.1007/s11004-011-9372-3     Document Type: Article

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