Multielement geochemical modelling for pollution in the floodplains – quantifying the spatial relationship

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027049%3A_____%2F18%3AN0000040" target="_blank" >RIV/00027049:_____/18:N0000040 - isvavai.cz</a>

Alternative codes found

RIV/00027049:_____/18:N0000042

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Multielement geochemical modelling for pollution in the floodplains – quantifying the spatial relationship

Original language description

Whilst floodplain soils are renowned for their fertility attributable to nutrient inputs, the same enrichment process renders these soils vulnerable to contamination. Various pollution sources and (re)distributional processes may result in zones with distinct geochemical characteristics within the catchment. To visualise the catchment scale variability, which arises as a result of these processes, geochemical domains were defined using advisable subcompositions. Principal component analysis adapted to compositions was employed to understand this variability within the geochemical dataset from the Czech monitoring program supplying farmers with information on major nutrients in soil. After a spatial filtering of this dataset, we completed 130 samples with the comprehensive geochemical information on soil trace elements (Be, Cd, Co, Cr, Cu, Hg, Ni, Pb, V, Zn) in floodplains of the Eger River. The compositional covariance structure was then visually inspected for the spatial-suited patterns in the biplot as well as within the selected subcompositions in the ternary diagrams. For this, the data were classified according to the stream distance of the sampling sites from the river mouth. This explanatory practise proved the existence of some underlying spatial patterns of compositions along the river. Hence, we aimed at the quantitative measure of these spatial relations. For this purposes, the Aitchison distance matrix was related to the spatial matrices (stream and Euclidean distance matrices) using the Mantel correlation and the results were regionalised using the Mantel correlogram. The source-related interpretation of soil pollution implied that spatial connection and potential sources affinity were the main drivers of similarity in the observed patterns in the flood-prone soils.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

<a href="/en/project/GA17-00859S" target="_blank" >GA17-00859S: Environmental impact assessment and possible pathways and transformations of selected toxic elements in the contaminated area</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

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