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dc.rights.licenseopenen_US
dc.contributor.authorBELYANOVSKAYA, Alexandra
dc.contributor.authorSOKTOEV, Bulat
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorLARATTE, Bertrand
IDREF: 181621169
dc.contributor.authorAGEEVA, Elena
dc.contributor.authorBARANOVSKAYA, Natalia
dc.contributor.authorKOROGOD, Natalia
dc.date.accessioned2022-10-03T12:00:03Z
dc.date.available2022-10-03T12:00:03Z
dc.date.issued2022-07-08
dc.identifier.issn1614-7499en_US
dc.identifier.otherhttps://static-content.springer.com/esm/art%3A10.1007%2Fs11356-022-21784-9/MediaObjects/11356_2022_21784_MOESM1_ESM.docxen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/148343
dc.description.abstractEnThe research paper is aimed to modify the human health impact assessment of Cr in soils. The current article presents the input of several critical parameters for the human health Impact Score (IShum) assessment in soils. The modification of the IShum is derived using geological data — results of neutron activation analysis of soils are used in the IShum calculation; research area is divided using the watersheds and population size and density. Watersheds reflect the local environmental conditions of the territory unlike the administrative units (geographical areas of the studied region) due to their geological independence. The calculations of the characterization factor value underestimate the influence of the population size and density on the final result. Default characterization factor values cannot be considered during the assessment of the potential human health impact for the big sparsely inhabited areas. In case of very low population density, the result will be overrated and underestimated in the opposite case. The current approach demonstrates that the geographical separation in the USEtox model should be specified. The same approach can be utilized for other geo zones due to the accessibility of this information (area size, population size, and density, geological, and landscape features).
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enLCIA
dc.subject.enHeavy metals
dc.subject.enUSEtox
dc.subject.enCr
dc.subject.enRegional impact assessment
dc.subject.enImpact assessment models
dc.title.enInfluence of local geological data and geographical parameters to assess regional health impact in LCA. Tomsk oblast’, Russian Federation application case
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s11356-022-21784-9en_US
dc.subject.halSciences de l'environnementen_US
dc.subject.halSciences de l'ingénieur [physics]en_US
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]en_US
bordeaux.journalEnvironmental Science and Pollution Researchen_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.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03776882
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Environmental%20Science%20and%20Pollution%20Research&rft.date=2022-07-08&rft.eissn=1614-7499&rft.issn=1614-7499&rft.au=BELYANOVSKAYA,%20Alexandra&SOKTOEV,%20Bulat&LARATTE,%20Bertrand&AGEEVA,%20Elena&BARANOVSKAYA,%20Natalia&rft.genre=article


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