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Contaminant Source Identification in Aquifers: A Critical View

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dc.contributor.author Gómez-Hernández, J. Jaime es_ES
dc.contributor.author Xu, Teng es_ES
dc.date.accessioned 2022-11-03T10:38:12Z
dc.date.available 2022-11-03T10:38:12Z
dc.date.issued 2022-02 es_ES
dc.identifier.issn 1874-8961 es_ES
dc.identifier.uri http://hdl.handle.net/10251/189073
dc.description.abstract [EN] Forty years and 157 papers later, research on contaminant source identification has grown exponentially in number but seems to be stalled concerning advancement towards the problem solution and its field application. This paper presents a historical evolution of the subject, highlighting its major advances. It also shows how the subject has grown in sophistication regarding the solution of the core problem (the source identification), forgetting that, from a practical point of view, such identification is worthless unless it is accompanied by a joint identification of the other uncertain parameters that characterize flow and transport in aquifers. es_ES
dc.description.sponsorship The first author wishes to acknowledge the financial contribution of the Spanish Ministry of Science and Innovation through Project No. PID2019-109131RB-I00, and the second author acknowledges the financial support from the Fundamental Research Funds for the Central Universities (B200201015) and Jiangsu Specially-Appointed Professor Program from Jiangsu Provincial Department of Education (B19052). Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Mathematical Geosciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Simulation-optimization es_ES
dc.subject Backward tracking es_ES
dc.subject Bayesian approach es_ES
dc.subject Machine learning es_ES
dc.subject Surrogate models es_ES
dc.subject Heuristic approaches es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Contaminant Source Identification in Aquifers: A Critical View es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11004-021-09976-4 es_ES
dc.relation.projectID 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/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Fundamental Research Funds for the Central Universities//B200201015/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JPDE//B19052/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports 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.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.description.bibliographicCitation Gómez-Hernández, JJ.; Xu, T. (2022). Contaminant Source Identification in Aquifers: A Critical View. Mathematical Geosciences. 54(2):437-458. https://doi.org/10.1007/s11004-021-09976-4 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11004-021-09976-4 es_ES
dc.description.upvformatpinicio 437 es_ES
dc.description.upvformatpfin 458 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 54 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\446464 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Jiangsu Provincial Department of Education es_ES
dc.contributor.funder Fundamental Research Funds for the Central Universities es_ES
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