Evidence map›Paper›PMID 31174374›Full record

ArticleMolecules (Basel, Switzerland)2019

Geochemical Fractionation and Assessment of Probabilistic Ecological Risk of Potential Toxic Elements in Sediments Using Monte Carlo Simulations.

Sanja Sakan, Nenad Sakan, Aleksandar Popović, Sandra Škrivanj, Dragana Đorđević

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sanja SakanCentre of Excellence in Environmental Chemistry and Engineering-ICTM, University of Belgrade, Njegoševa 12, 11158 Belgrade, Serbia. ssakan@chem.bg.ac.rs.ORCID 0000-0002-1121-2602
Nenad SakanInstitute of Physics, University of Belgrade, Pregrevica 118, 11080 Zemun, Serbia. nsakan@ipb.ac.rs.ORCID 0000-0002-4979-015X
Aleksandar PopovićFaculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia. apopovic@chem.bg.ac.rs.
Sandra ŠkrivanjFaculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia. sandra_skrivanj@chem.bg.ac.rs.
Dragana ĐorđevićCentre of Excellence in Environmental Chemistry and Engineering-ICTM, University of Belgrade, Njegoševa 12, 11158 Belgrade, Serbia. dragadj@chem.bg.ac.rs.

Funding

/ /Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja 172001
6 · The paper itself

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).

Indexed as

Environmental MonitoringGeologic SedimentsMetals, HeavyMonte Carlo MethodRisk AssessmentRiversWater Pollutants, ChemicalMetals, HeavyWater Pollutants, Chemicalgeochemical fractionationhierarchical clusteringMonte Carlo simulationprobabilistic ecological risksedimentstoxic elements

Identifiers

PMID31174374
PMCPMC6600445

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.