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dc.rights.licenseopenen_US
dc.contributor.authorBARANOVSKAYA, Natalia
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorBELYANOVSKAYA, Alexandra
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorLARATTE, Bertrand
IDREF: 181621169
dc.contributor.authorAGEEVA, Elena
dc.date.accessioned2021-10-14T09:05:29Z
dc.date.available2021-10-14T09:05:29Z
dc.date.issued2021
dc.date.conference2021-04-19
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/112785
dc.description.abstractEnThere are many LCA methods and models (e.g. CML 1992, Eco-Indicator 95, IMPACT 2002+, TRACI, USEtox, etc.), used to characterize environmental impacts. Only four LCIA methods include spatial dimension at different geographical levels: Impact World+, LC-IMPACT, EDIP 2003 and USEtox (Bratec et al., 2019). Among these, three (Impact World+, EDIP 2003 and USEtox) include a human health impact category: human toxicity. The USEtox model, recommended by the European Commission, has already proved its efficiency for the coupling of environmental and geochemical studies. The Characterization factors of the USEtox describe environmental fate (FF) of the chemicals, their non- and carcinogenic effect (EF), direct and the indirect exposure (XF). All these factors vary depends on the applicable area. However, despite all advantages of the model, its geographical customization is rather generic. This paper presents the utilization of the already published case study (Belyanovskaya et al., 2019: 2020) with the indirect human exposure factor modification. The investigation present the modified biotransfer factor of the metals (Cr, Zn, Sb, As, Ba) of the meat product calculated specifically for different location inside the area "Central Asia". The paper extends already published results with local data of the city of Vladivostok (Russia).AcknowledgementThe statistical data processing is supported by State program RF "Science". Project FSWW-0022-2020.The impact assessment with the USEtox model is supported by the RSF grant (№ 20-64-47021).
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enThe critical parameters of the human health impact calculation
dc.typeCommunication dans un congrès avec actesen_US
dc.identifier.doi10.5194/egusphere-egu21-9348en_US
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]en_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.institutionINRAE
bordeaux.type.institutionUniversité de Bordeauxen_US
bordeaux.type.institutionBordeaux INPen_US
bordeaux.type.institutionCNRSen_US
bordeaux.type.institutionArts et Métiersen_US
bordeaux.conference.titleEGU General Assembly 2021
bordeaux.countryfr
bordeaux.title.proceedingEGU General Assembly 2021
bordeaux.conference.cityonline
bordeaux.type.reportrren_US
hal.identifierhal-03461057
hal.version1
hal.date.transferred2021-12-01T10:19:38Z
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2021&rft.au=BARANOVSKAYA,%20Natalia&BELYANOVSKAYA,%20Alexandra&LARATTE,%20Bertrand&AGEEVA,%20Elena&rft.genre=proceeding


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