Environmental study of two significant solid samples: gravitation dust sediment and soil View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-02

AUTHORS

Dagmar Remeteiová, Radoslav Rusnák, Eva Kucanová, Beáta Fióová, Silvia Ružičková, Ilona Fekete, Márk Horváth, Vojtech Dirner

ABSTRACT

In this work are presented results of the complex study of two significant solid environmental samples: gravitation dust sediments (industrial pollutants, potential source of risk elements input to soils) and soils (component of the environment, potential source of risk elements input to food web). The first phase of this study was focused on the study of the significant chemical properties (phase composition, content of organic and inorganic carbon) of the dust and soil samples. In the second phase, the fractionation analysis was used on the evaluation of the mobility of chosen risk elements (Cu, Ni, Pb, Zn) in the studied samples. The single-step extractions were applied in the order of the isolation of the element forms (fractions), with different mobilities during defined ecological conditions by utilization of the following reagents: 1 mol dm(-3) NH(4)NO(3) for isolation of the "mobile" fraction, 0.05 mol dm(-3) ethylenediaminetetraacetic acid and 0.43 mol dm(-3) CH(3)COOH for isolation of the "mobilizable" fraction, and 2 mol dm(-3) HNO(3) for isolation of all releasable forms. On the basis of the results obtained in this study, it is possible to state that different origins and positions of solid environmental samples in the environment reflect in different chemical properties of their matrix. The different properties of the sample matrix result in different mobilities of risk elements in these kinds of samples. The fractionation analysis with single-step extraction for isolation element fractions is the method most suitable for easy checking of environmental pollution and for evaluation of risk elements cycle in the environment. More... »

PAGES

1121-1130

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10661-011-2026-6

DOI

http://dx.doi.org/10.1007/s10661-011-2026-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022273562

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21625924


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