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Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter

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Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter

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Li ., L.; Zhou ., H.; Gómez-Hernández, JJ.; HENDRIKUS JOHANNES HENDRICKS-FRANSSEN (2012). Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter. Journal of Hydrology. 428:152-169. doi:10.1016/j.jhydrol.2012.01.037

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Título: Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Fecha difusión:
Resumen:
Real-time data from on-line sensors offer the possibility to update environmental simulation models in real-time. Information from on-line sensors concerning contaminant concentrations in groundwater allow for the real-time ...[+]
Palabras clave: Data assimilation , Ensemble Kalman filter , Heterogeneity , Hydraulic conductivity and porosity , Multiple concentration data , Stochastic transport , Aquifers , Characterization , Computer simulation
Derechos de uso: Reserva de todos los derechos
Fuente:
Journal of Hydrology. (issn: 0022-1694 )
DOI: 10.1016/j.jhydrol.2012.01.037
Editorial:
Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.jhydrol.2012.01.037
Agradecimientos:
The authors gratefully acknowledge the financial support by ENRESA (Project 0079000029) and the Spanish Ministry of Science and Innovation (Project CGL2011-23295). Extra travel Grants awarded to the first and second author ...[+]
Tipo: Artículo

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