Spatial analysis of ecosystem risks of complex soil pollution in flood affected areas in the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027049%3A_____%2F16%3AN0000017" target="_blank" >RIV/00027049:_____/16:N0000017 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Spatial analysis of ecosystem risks of complex soil pollution in flood affected areas in the Czech Republic

Popis výsledku v původním jazyce

A rigorous analysis of soil contamination in floodplain soils in the Czech Republic was conducted by an extensive soil sampling (100 soil profiles) and screening assessment of ecosystem risks combined with a multidimensional statistical analysis and spatial analysis of ecosystem risks of soil contamination with the objectives of revealing both the spatial patterns of pollution magnitude as well as pollutants' composition. There were estimated ecosystem risks of soil pollution by trace elements (As, Cd, Cu, Hg, Pb, Ni, Zn) and persistent organic pollutants (PCBs, PAHs, organochlorine pesticides – DDTs, HCHs) based on a confrontation of environmental concentrations with referenced values for potential ecosystem risks of soil contamination. Relative contributions of each element/substance to the estimation of ecosystem risks (overall hazard index) were calculated and proportional similarities between all the localities were calculated. We correlated the proportional similarities matrix with various matrixes by the Mantel correlation test. We tested similarity matrix based on soil characteristics and various spatial configuration matrixes. The results implied that spatial connections and potential sources affinity were main drivers of similarity and the observed pollution profiles are rather due to the input of contaminants from sources than to the specific accumulation and storage properties of the studied soils. A multivariate Mantel correlogram was than computed to analyse the spatial correlation of proportional similarities among the samples.

Název v anglickém jazyce

Spatial analysis of ecosystem risks of complex soil pollution in flood affected areas in the Czech Republic

Popis výsledku anglicky

A rigorous analysis of soil contamination in floodplain soils in the Czech Republic was conducted by an extensive soil sampling (100 soil profiles) and screening assessment of ecosystem risks combined with a multidimensional statistical analysis and spatial analysis of ecosystem risks of soil contamination with the objectives of revealing both the spatial patterns of pollution magnitude as well as pollutants' composition. There were estimated ecosystem risks of soil pollution by trace elements (As, Cd, Cu, Hg, Pb, Ni, Zn) and persistent organic pollutants (PCBs, PAHs, organochlorine pesticides – DDTs, HCHs) based on a confrontation of environmental concentrations with referenced values for potential ecosystem risks of soil contamination. Relative contributions of each element/substance to the estimation of ecosystem risks (overall hazard index) were calculated and proportional similarities between all the localities were calculated. We correlated the proportional similarities matrix with various matrixes by the Mantel correlation test. We tested similarity matrix based on soil characteristics and various spatial configuration matrixes. The results implied that spatial connections and potential sources affinity were main drivers of similarity and the observed pollution profiles are rather due to the input of contaminants from sources than to the specific accumulation and storage properties of the studied soils. A multivariate Mantel correlogram was than computed to analyse the spatial correlation of proportional similarities among the samples.

Druh

O - Ostatní výsledky

CEP obor

DK - Kontaminace a dekontaminace půdy včetně pesticidů

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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