dc.creatorAruta, Antonio
dc.creatorAlbanese, Stefano
dc.creatorDaniele, Dolorinda
dc.creatorCannatelli, Claudia
dc.creatorBuscher, Jamie Todd
dc.creatorDe Vivo, Benedetto
dc.creatorPetrik, Attila
dc.creatorCicchella, Doménico
dc.creatorLima, Annamaria
dc.date.accessioned2022-04-11T15:27:17Z
dc.date.accessioned2022-10-17T13:41:15Z
dc.date.available2022-04-11T15:27:17Z
dc.date.available2022-10-17T13:41:15Z
dc.date.created2022-04-11T15:27:17Z
dc.date.issued2022
dc.identifierEnvironmental Geochemistry and Health January 2022
dc.identifier10.1007/ s10653-021-01185-6.
dc.identifierhttps://repositorio.uchile.cl/handle/2250/184835
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4418468
dc.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.
dc.languageen
dc.publisherSpringer
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.sourceEnvironmental Geochemistry and Health
dc.subjectUrban geochemistry
dc.subjectContamination degree assessment
dc.subjectMultifractal IDW
dc.subjectCompositional data analysis (CoDA)
dc.subjectProabilistic risk assessment
dc.subjectMonte Carlo method
dc.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)
dc.typeArtículos de revistas


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