Revisiting geochemical methods of distinguishing natural concentrations and pollution by risk elements in fluvial sediments

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13520%2F16%3A43887721" target="_blank" >RIV/44555601:13520/16:43887721 - isvavai.cz</a>

Alternative codes found

RIV/61388980:_____/16:00463509

Result on the web

<a href="http://dx.doi.org/10.1016/j.gexplo.2016.08.003" target="_blank" >http://dx.doi.org/10.1016/j.gexplo.2016.08.003</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.gexplo.2016.08.003" target="_blank" >10.1016/j.gexplo.2016.08.003</a>

Result language

angličtina

Original language name

Revisiting geochemical methods of distinguishing natural concentrations and pollution by risk elements in fluvial sediments

Original language description

This paper provides an overview of the natural variability of the element composition of fluvial sediments, paying particular attention to As, Al, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, Ti, and Zn. The primary factors controlling the sediment composition are source rocks in the river catchment, the extent of their weathering, the sorting of so-formed solids during transport through the catchment, and their chemical transformations, in particular reductive/oxidative-driven processes, particularly affecting the finest particles in the fluvial systems. Those factors result in grain-size control as the major source of variation of the sediment's chemical composition; they also change element patterns (ratios, associations) in the finest sediment components compared to Earth's upper crust. Grain-size control of element composition (the grain-size effect) is suppressed by geochemical normalization and is best treated through geochemical background functions applied to analyses of bulk samples. Robust regression should be preferred for inter-element relationships in fluvial sediments. Conversely, the evaluation of element concentrations in sediments neglecting grain size or using particle-size separation (e.g., sieving to submillimetre size fractions) to separate only a minor weight fraction of the sediment should be avoided in research. Improper data processing and a lack of respect for natural variability may prevent the recognition of anthropogenic pollution. The use of inappropriate statistic tools in this task, such as the mean +- 2?,boxplots, and ordinary least-squares' regression, is primarily hindered by the lack of a Gaussian distribution of element concentrations in real collections of fluvial sediments and neglect of a suite of natural factors inherent to fluvial sediments.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DD - Geochemistry

OECD FORD branch

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Project

<a href="/en/project/GA15-00340S" target="_blank" >GA15-00340S: Anthropogenic Pollution and Fluvial Architecture: Two Phenomena and a Single Story</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Geochemical Exploration

ISSN

0375-6742

e-ISSN

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Volume of the periodical

2016

Issue of the periodical within the volume

170

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

19

Pages from-to

39-57

UT code for WoS article

000386405300005

EID of the result in the Scopus database

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