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Inverse Transport Method for Determination of Potential Contamination Sources with a Stochastic Framework

hal.structure.identifierRéseaux épuration et qualité des eaux [UR REBX]
dc.contributor.authorUNG, Hervé
hal.structure.identifierRéseaux épuration et qualité des eaux [UR REBX]
dc.contributor.authorPILLER, Olivier
hal.structure.identifierRéseaux épuration et qualité des eaux [UR REBX]
dc.contributor.authorGILBERT, Denis
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorMORTAZAVI, Iraj
dc.contributor.editorPatterson Craig L.
dc.contributor.editorStruck Scott D.
dc.contributor.editorMurray Daniel J.
dc.date.accessioned2024-04-04T02:54:47Z
dc.date.available2024-04-04T02:54:47Z
dc.date.created2013
dc.date.issued2013
dc.date.conference2013-05-19
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192303
dc.description.abstractEnSecurity is an important concern for the water industry nowadays. It is particularly important to have tools that are able to determine the source of contamination once an alarm is raised by the sensor detection system. The objective of this paper is the development of such a model to locate potential sources of contamination. The model solution uses a two-step method. First, a linear source-response transport equation is built based on a backtracking algorithm applied to sensor binary answers. It is followed by a minimum relative entropy method or a least squares method coupled with a Tikhonov regularization that yields the probability density function of the different potential sources found at the first step. The model has been validated on small networks and applied to a large network under single and multiple contamination scenarios. This research is part of the European project on water network security named SecurEau.
dc.language.isoen
dc.publisherASCE
dc.source.titleWorld Environmental and Water Resources Congress 2013
dc.subjectSECUREAU
dc.subjectEUROPE
dc.title.enInverse Transport Method for Determination of Potential Contamination Sources with a Stochastic Framework
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1061/9780784412947.077
dc.subject.halMathématiques [math]
dc.subject.halInformatique [cs]/Recherche opérationnelle [cs.RO]
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halSciences de l'ingénieur [physics]
dc.subject.halStatistiques [stat]/Méthodologie [stat.ME]
bordeaux.page798-812
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleWorld Environmental and Water Resources Congress 2013
bordeaux.countryUS
bordeaux.title.proceedingWorld Environmental and Water Resources Congress 2013
bordeaux.conference.cityCincinnati
bordeaux.peerReviewedoui
hal.identifierhal-02598811
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2013-05-23
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02598811v1
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