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dc.contributor.author | Zhou, Haiyan | es_ES |
dc.contributor.author | Gómez-Hernández, J. Jaime | es_ES |
dc.contributor.author | Li, Liangping | es_ES |
dc.date.accessioned | 2015-11-02T10:48:03Z | |
dc.date.available | 2015-11-02T10:48:03Z | |
dc.date.issued | 2014-01 | |
dc.identifier.issn | 0309-1708 | |
dc.identifier.uri | http://hdl.handle.net/10251/56848 | |
dc.description.abstract | [EN] Parameter identification is an essential step in constructing a groundwater model. The process of recognizing model parameter values by conditioning on observed data of the state variable is referred to as the inverse problem. A series of inverse methods has been proposed to solve the inverse problem, ranging from trial-and-error manual calibration to the current complex automatic data assimilation algorithms. This paper does not attempt to be another overview paper on inverse models, but rather to analyze and track the evolution of the inverse methods over the last decades, mostly within the realm of hydrogeology, revealing their transformation, motivation and recent trends. Issues confronted by the inverse problem, such as dealing with multiGaussianity and whether or not to preserve the prior statistics are discussed. (C) 2013 Elsevier Ltd. All rights reserved. | es_ES |
dc.description.sponsorship | The authors gratefully acknowledge the financial support by the Spanish Ministry of Science and Innovation through project CGL2011-23295. We would like to thank Dr. Alberto Guadagnini (Politecnico di Milano, Italy) for his comments during the reviewing process, which helped improving the final paper. | |
dc.language | Español | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Advances in Water Resources | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Heterogeneity | es_ES |
dc.subject | Parameter identification | es_ES |
dc.subject | Data assimilation | es_ES |
dc.subject | Uncertainty | es_ES |
dc.subject | Groundwater modeling | es_ES |
dc.subject.classification | INGENIERIA HIDRAULICA | es_ES |
dc.title | Inverse Methods in Hydrogeology: Evolution and Recent Trends | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.advwatres.2013.10.014 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//CGL2011-23295/ES/MODELACION ESTOCASTICA INVERSA FUERA DE LO NORMAL/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient | es_ES |
dc.description.bibliographicCitation | Zhou, H.; Gómez-Hernández, JJ.; Li, L. (2014). Inverse Methods in Hydrogeology: Evolution and Recent Trends. Advances in Water Resources. 63:22-37. https://doi.org/10.1016/j.advwatres.2013.10.014 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.advwatres.2013.10.014 | es_ES |
dc.description.upvformatpinicio | 22 | es_ES |
dc.description.upvformatpfin | 37 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 63 | es_ES |
dc.relation.senia | 284779 | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación |