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Authordc.contributor.authorAruta, Antonio
Authordc.contributor.authorAlbanese, Stefano
Authordc.contributor.authorDaniele, Dolorinda
Authordc.contributor.authorCannatelli, Claudia
Authordc.contributor.authorBuscher, Jamie Todd
Authordc.contributor.authorDe Vivo, Benedetto
Authordc.contributor.authorPetrik, Attila
Authordc.contributor.authorCicchella, Doménico
Authordc.contributor.authorLima, Annamaria
Admission datedc.date.accessioned2022-04-11T15:27:17Z
Available datedc.date.available2022-04-11T15:27:17Z
Publication datedc.date.issued2022
Cita de ítemdc.identifier.citationEnvironmental Geochemistry and Health January 2022es_ES
Identifierdc.identifier.other10.1007/ s10653-021-01185-6.
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/184835
Abstractdc.description.abstractIn 2017, a geochemical survey was carried out across the Commune of Santiago, a local administrative unit located at the center of the namesake capital city of Chile, and the concentration of a number of major and trace elements (53 in total) was determined on 121 topsoil samples. Multifractal IDW (MIDW) interpolation method was applied to raw data to generate geochemical baseline maps of 15 potential toxic elements (PTEs); the concentration– area (C-A) plot was applied to MIDW grids to contamination sources (Urban traffic, productive settlements, etc.). A risk assessment was finally completed to potentially relate contamination sources to their potential effect on public health in the long term. A probabilistic approach, based on Monte Carlo method, was deemed more appropriate to include uncertainty due to spatial variation of geochemical data across the study area. Results showed how the integrated use of multivariate statistics and compositional data analysis gave the authors the chance to both discriminate between main contamination processes characterizing the soil of Santiago and to observe the existence of secondary phenomena that are normally difficult to constrain. Furthermore, it was demonstrated how a probabilistic approach in risk assessment could offer a more reliable view of the complexity of the process considering uncertainty as an integral part of the results.es_ES
Patrocinadordc.description.sponsorshipPhysical and Mathematic Science Faculty (Universidad de Chile) University of Chile N/A1/2014 FONDAP 15200001 ICM NC130065es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherSpringeres_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
Sourcedc.sourceEnvironmental Geochemistry and Healthes_ES
Keywordsdc.subjectUrban geochemistryes_ES
Keywordsdc.subjectContamination degree assessmentes_ES
Keywordsdc.subjectMultifractal IDWes_ES
Keywordsdc.subjectCompositional data analysis (CoDA)es_ES
Keywordsdc.subjectProabilistic risk assessmentes_ES
Keywordsdc.subjectMonte Carlo methodes_ES
Títulodc.titleA new approach to assess the degree of contamination and determine sources and risks related to PTEs in an urban environment: the case study of Santiago (Chile)es_ES
Document typedc.typeArtículo de revistaes_ES
dc.description.versiondc.description.versionVersión publicada - versión final del editores_ES
dcterms.accessRightsdcterms.accessRightsAcceso abiertoes_ES
Catalogueruchile.catalogadorcfres_ES
Indexationuchile.indexArtículo de publícación WoSes_ES


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States