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dc.creatorSakan, Sanja M.
dc.creatorSakan, Nenad
dc.creatorPopović, Aleksandar R.
dc.creatorŠkrivanj, Sandra B.
dc.creatorĐorđević, Dragana S.
dc.date.accessioned2019-11-29T10:30:09Z
dc.date.available2019-11-29T10:30:09Z
dc.date.issued2019
dc.identifier.issn1420-3049
dc.identifier.urihttp://cherry.chem.bg.ac.rs/handle/123456789/3707
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).
dc.publisherMDPI
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172001/RS//
dc.rightsopenAccess
dc.sourceMolecules
dc.subjectMonte Carlo simulation
dc.subjectGeochemical fractionation
dc.subjectHierarchical clustering
dc.subjectProbabilistic ecological risk
dc.subjectSediments
dc.subjectToxic elements
dc.titleGeochemical fractionation and assessment of probabilistic ecological risk of potential toxic elements in sediments using Monte Carlo simulations
dc.typearticle
dc.rights.licenseBY
dcterms.abstractСакан, Ненад; Ђорђевић, Драгана С.; Шкривањ, Сандра; Поповић, Aлександар Р.; Сакан, Сања М.;
dc.citation.volume24
dc.citation.issue11
dc.identifier.wos000472631000118
dc.identifier.doi10.3390/molecules24112145
dc.citation.rankM22~
dc.type.versionpublishedVersion
dc.identifier.scopus2-s2.0-85066730412
dc.identifier.fulltexthttp://cherry.chem.bg.ac.rs/bitstream/id/16236/Geochemical_Fractionation_and_pub_2019.pdf


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