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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.; Hendricks-Franssen, HJ. (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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Title: Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter
Author: Li, Liangping Zhou, Haiyan Gómez-Hernández, J. Jaime Hendricks-Franssen, Hendrikus Johannes
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Abstract:
[EN] 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 ...[+]
Subjects: Data assimilation , Ensemble Kalman filter , Heterogeneity , Hydraulic conductivity and porosity , Multiple concentration data , Stochastic transport , Aquifers , Characterization , Computer simulation
Copyrigths: Reserva de todos los derechos
Source:
Journal of Hydrology. (issn: 0022-1694 )
DOI: 10.1016/j.jhydrol.2012.01.037
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.jhydrol.2012.01.037
Project ID:
ENRESA/0079000029
MICINN/CGL2011-23295
Thanks:
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 ...[+]
Type: Artículo

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