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Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter

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Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter

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Chen, Z.; Xu, T.; Gómez-Hernández, JJ.; Zanini, A. (2021). Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter. Mathematical Geosciences. 53(7):1587-1615. https://doi.org/10.1007/s11004-021-09928-y

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Título: Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter
Autor: Chen, Zi Xu, Teng Gómez-Hernández, J. Jaime Zanini, Andrea
Entidad UPV: Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Fecha difusión:
Resumen:
[EN] The joint identification of the parameters defining a contaminant source and the heterogeneous distribution of the hydraulic conductivities of the aquifer where the contamination took place is a difficult task. Previous ...[+]
Palabras clave: Inverse modeling , Forensic hydrogeology , Data assimilation , Sandbox
Derechos de uso: Reserva de todos los derechos
Fuente:
Mathematical Geosciences. (issn: 1874-8961 )
DOI: 10.1007/s11004-021-09928-y
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s11004-021-09928-y
Código del Proyecto:
info:eu-repo/grantAgreement/Fundamental Research Funds for the Central Universities//B200201015/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109131RB-I00/ES/APRENDIZAJE AUTOMATICO PARA HIDROGEOLOGOS FORENSES/
info:eu-repo/grantAgreement/JPDE//B19052/
info:eu-repo/grantAgreement/ME//PRX17%2F00150/
Agradecimientos:
Financial support to carry out this work was received from the Spanish Ministry of Science and Innovation through project PID2019-109131RB-I00, and from the Spanish Ministry of Education through project PRX17/00150. Teng ...[+]
Tipo: Artículo

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