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dc.creatorSakan, Sanja
dc.creatorSakan, Nenad
dc.creatorPopović, Aleksandar R.
dc.creatorŠkrivanj, Sandra
dc.creatorĐorđević, Dragana
dc.date.accessioned2019-09-23T09:46:56Z
dc.date.available2019-09-23T09:46:56Z
dc.date.issued2019
dc.identifier.issn1420-3049
dc.identifier.urihttps://cer.ihtm.bg.ac.rs/handle/123456789/3107
dc.description.abstractThe need for further research into potentially toxic elements in Serbian rivers led to an investigation of distributions, sources, and ecological risks in a sample base of sediments from 15 rivers. The analyses were carried out through both experimental and theoretical methods. Geochemical fractionation of Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, As, V, and Zn in sediments was studied using a sequential extraction procedure. Both a Håkanson risk index (RI) and a Monte Carlo simulation (MCS) were used in order to estimate ecological risk, applying the probability distribution of RI values instead of single-point calculations. In order to both further the development of the used method and include additional processes, software for the simulations was developed instead of using proprietary solutions. Metal fractionation showed high percentage recoveries of Cd, Cr, Co, Cu, Fe, Ni, and V in residual fractions. The high content of Pb, Mn, and Zn in mobile fractions might cause serious environmental concerns. In some localities, Cu and Cd could be problematic elements, since their mobility was high. An environmental assessment based on the described criteria provided risk levels varying from low to median (mainly contributed by Cd and Cu).en
dc.language.isoensr
dc.publisherMDPIsr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172001/RS//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceMoleculessr
dc.subjectgeochemical fractionationsr
dc.subjectprobabilistic ecological risksr
dc.subjectMonte Carlo simulationsr
dc.subjecttoxic elementssr
dc.subjectsedimentssr
dc.subjecthierarchical clusteringsr
dc.titleGeochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulationsen
dc.typearticlesr
dc.rights.licenseBYsr
dcterms.abstractСакан, Сања; Дјордјевић, Драгана; Шкривањ, Сандра; Поповић, Aлександар; Сакан, Ненад;
dc.rights.holderAuthorssr
dc.citation.volume24
dc.citation.issue11
dc.citation.spage2145
dc.citation.rankM22~
dc.identifier.pmid31174374
dc.identifier.doi10.3390/molecules24112145
dc.identifier.fulltexthttps://cer.ihtm.bg.ac.rs//bitstream/id/14014/molecules-24-02145.pdf
dc.identifier.scopus2-s2.0-85066730412
dc.identifier.wos000472631000118
dc.type.versionpublishedVersionsr


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