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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Nalezeny alternativní kódy

    RIV/61388980:_____/16:00463509

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

  • CEP obor

    DD - Geochemie

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA15-00340S" target="_blank" >GA15-00340S: Antropogenní znečištění a stavba říčních niv: dva fenomény a jediný příběh</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Geochemical Exploration

  • ISSN

    0375-6742

  • e-ISSN

  • Svazek periodika

    2016

  • Číslo periodika v rámci svazku

    170

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    19

  • Strana od-do

    39-57

  • Kód UT WoS článku

    000386405300005

  • EID výsledku v databázi Scopus