Evidence map›Paper›PMID 30915693›Full record

ArticleEnvironmental science and pollution research international2019

Monte Carlo fingerprinting of the terrestrial sources of different particle size fractions of coastal sediment deposits using geochemical tracers: some lessons for the user community.

Hamid Gholami, Ebrahim Jafari TakhtiNajad, Adrian L Collins, Aboalhasan Fathabadi

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Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hamid GholamiDepartment of Natural Resources Engineering, University of Hormozgan, Bandar-Abbas, Hormozgan, Iran. hgholami@hormozgan.ac.ir.ORCID http://orcid.org/0000-0002-7280-8880
Ebrahim Jafari TakhtiNajadDepartment of Natural Resources Engineering, University of Hormozgan, Bandar-Abbas, Hormozgan, Iran.
Adrian L CollinsSustainable Agriculture Sciences Department, Rothamsted Research, North Wyke, Okehampton, Devon, EX20 2SB, UK. adrian.collins@rothamsted.ac.uk.
Aboalhasan FathabadiDepartment of Range and Watershed Management, University of Gonbad-e-Kavoos, Gonbad-e-Kavoos, Golestan, Iran.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/C/000I0330
6 · The paper itself

Abstract

A sediment source fingerprinting method, including a Monte Carlo simulation framework, was used to quantify the contributions of terrestrial sources of fine- (< 63 μm) and coarse-grained (63-500 μm) sediments sampled from three categories of coastal sediment deposits in the Jagin catchment, south-east of Jask, Hormozgan province, southern Iran: coastal dunes (CD), terrestrial sand dunes or onshore sediments (TSD), and marine or offshore sediments (MD). Forty-nine geochemical properties were measured in the two size fractions and a three-stage statistical process consisting of a conservation test, the Kruskal-Wallis H test, and stepwise discriminant function analysis (DFA) was applied to select final composite fingerprints for terrestrial source discrimination. Based on the statistical tests, four final fingerprints comprising Be, Ni, K and Cu and seven final fingerprints consisting Cu, Th, Be, Al, La, Mg and Fe were selected for discriminating terrestrial sources of the coastal fine- and coarse-grained sediments, respectively. Two geological spatial sources, including Quaternary (clay flat, high and low level fans and valley terraces) and Palaeocene age deposits, were identified as the main terrestrial sources of the fine-grained sediment sampled from the coastal deposits. A geological spatial source consisting of sandstone with siltstone, mudstone and minor conglomerate (Palaeocene age deposits) was identified as the main terrestrial source for coarse-grained sediment sampled from the coastal deposits.

Indexed as

Discriminant AnalysisEnvironmental MonitoringGeologic SedimentsGeologyIranMonte Carlo MethodParticle SizeCoastal sediment fingerprintingIranMonte Carlo simulation frameworkUncertainty

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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.