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

A - Papers appearing in refereed journals

Gholami, H., TakhtiNajad, E. J., Collins, A. L. and Fathabadi, A. 2019. 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. Environmental Science and Pollution Research. 26 (13), pp. 13560-13579.

AuthorsGholami, H., TakhtiNajad, E. J., Collins, A. L. and Fathabadi, A.
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.

KeywordsCoastal sediment fingerprinting ; Monte Carlo simulation framework; Uncertainty ; Iran
Year of Publication2019
JournalEnvironmental Science and Pollution Research
Journal citation26 (13), pp. 13560-13579
Digital Object Identifier (DOI)doi:10.1007/s11356-019-04857-0
Open accessPublished as green open access
Funder project or codeS2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales
FunderBiotechnology and Biological Sciences Research Council
Publisher's versionGholami et al 2019.pdf
Output statusPublished
Publication dates
Online17 Mar 2019
Publication process dates
Accepted13 Mar 2019
Copyright licenseCC BY
PublisherSpringer Heidelberg
ISSN0944-1344

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