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dc.rights.licenseopenen_US
hal.structure.identifierInstitut méditerranéen d'océanologie [MIO]
dc.contributor.authorFAUVELLE, Vincent
hal.structure.identifierMines Paris - PSL (École nationale supérieure des mines de Paris)
dc.contributor.authorBELLES, Angel
hal.structure.identifierLaboratoire de Physico et Toxico-Chimie des systèmes naturels [LPTC]
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorBUDZINSKI, Hélène
ORCID: 0000-0003-1028-9154
IDREF: 070478090
hal.structure.identifierEcosystèmes aquatiques et changements globaux [UR EABX]
dc.contributor.authorMAZZELLA, Nicolas
hal.structure.identifierUnité Dynamiques des Écosystèmes Côtiers [DYNECO]
dc.contributor.authorPLUS, Martin
dc.date.accessioned2024-04-25T08:57:06Z
dc.date.available2024-04-25T08:57:06Z
dc.date.issued2018-08
dc.identifier.issn0025-326Xen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/199339
dc.description.abstractEnThe work presented here aims at comparing monitoring of S-metolachlor, the major pesticide in use in the Arcachon Bay (South West of France, transitional coastal area), by chemical analysis (monthly passive sampling) and contaminant dissipation modeling from sources (Mars-2D model). The global strategy consisted in i) identifying the major sources of S-metolachlor to the Bay, ii) monitoring these sources for 12 months, and iii) comparing modeled data in the Bay based on measured inputs, to chemical measurements made inside the Bay along with the 12-month source monitoring. Results first showed that the major S-metolachlor surface inputs to the Arcachon Bay are mainly from one single source. Modeled and measured data were in good agreement at 5 sites in the Bay, both in terms of concentration range and seasonal trends. Modeling thus offers a cost-effective solution for monitoring contaminants in transitional waters, overcoming in addition the technical limitations for measuring pg L −1 or lower levels in coastal waters. However, we highlighted that secondary sources may affect accuracy at local level.
dc.language.isoENen_US
dc.subject.enPOCIS
dc.subject.enPassive sampling
dc.subject.enmonitoring
dc.subject.encoastal area
dc.subject.encontaminant
dc.subject.enMars-2D
dc.subject.enpesticides
dc.title.enSimulated conservative tracer as a proxy for S-metolachlor concentration predictions compared to POCIS measurements in Arcachon Bay
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.marpolbul.2018.06.005en_US
dc.subject.halChimieen_US
bordeaux.journalMarine Pollution Bulletinen_US
bordeaux.page423 - 427en_US
bordeaux.volume133en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamLPTCen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-01829680
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Marine%20Pollution%20Bulletin&rft.date=2018-08&rft.volume=133&rft.spage=423%20-%20427&rft.epage=423%20-%20427&rft.eissn=0025-326X&rft.issn=0025-326X&rft.au=FAUVELLE,%20Vincent&BELLES,%20Angel&BUDZINSKI,%20H%C3%A9l%C3%A8ne&MAZZELLA,%20Nicolas&PLUS,%20Martin&rft.genre=article


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