Geochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulations
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Приказ свих података о документуАпстракт
The 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 envi...ronmental 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).
Кључне речи:
geochemical fractionation / probabilistic ecological risk / Monte Carlo simulation / toxic elements / sediments / hierarchical clusteringИзвор:
Molecules, 2019, 24, 11, 2145-Издавач:
- MDPI
Финансирање / пројекти:
- Проучавање физичкохемијских и биохемијских процеса у животној средини који утичу на загађење и истраживање могућности за минимизирање последица (RS-MESTD-Basic Research (BR or ON)-172001)
DOI: 10.3390/molecules24112145
ISSN: 1420-3049
PubMed: 31174374
WoS: 000472631000118
Scopus: 2-s2.0-85066730412
Институција/група
IHTMTY - JOUR AU - Sakan, Sanja AU - Sakan, Nenad AU - Popović, Aleksandar R. AU - Škrivanj, Sandra AU - Đorđević, Dragana PY - 2019 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/3107 AB - The 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). PB - MDPI T2 - Molecules T1 - Geochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulations VL - 24 IS - 11 SP - 2145 DO - 10.3390/molecules24112145 ER -
@article{ author = "Sakan, Sanja and Sakan, Nenad and Popović, Aleksandar R. and Škrivanj, Sandra and Đorđević, Dragana", year = "2019", abstract = "The 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).", publisher = "MDPI", journal = "Molecules", title = "Geochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulations", volume = "24", number = "11", pages = "2145", doi = "10.3390/molecules24112145" }
Sakan, S., Sakan, N., Popović, A. R., Škrivanj, S.,& Đorđević, D.. (2019). Geochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulations. in Molecules MDPI., 24(11), 2145. https://doi.org/10.3390/molecules24112145
Sakan S, Sakan N, Popović AR, Škrivanj S, Đorđević D. Geochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulations. in Molecules. 2019;24(11):2145. doi:10.3390/molecules24112145 .
Sakan, Sanja, Sakan, Nenad, Popović, Aleksandar R., Škrivanj, Sandra, Đorđević, Dragana, "Geochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulations" in Molecules, 24, no. 11 (2019):2145, https://doi.org/10.3390/molecules24112145 . .