Impact of coal mining on heavy metal content in soil and vegetation using XRF analysis

To determine the content of TiO2, V, Cr, MnO, Fe2O3, Ni, Cu, Zn, As, Sr, CaO, Al2O3, SiO2, P2O5, K2O, MgO in soil samples and Zn, Ni, Mn, Ca, Al, K, Mg, P, Sr in plant samples the method of X-ray fluorescence analysis was applied on the territory of the coal mining enterprise, which makes it possible to analyze samples without destroying their basis by chemical and thermal effects. Exceeding the values of the maximum permissible concentrations of certain elements in the studied soil and vegetation samples is mainly noted in samples taken at reference points exposed to technogenic effects. The estimation of the sampling error showed that the coefficient of variation is significant and varies from 7.72 to 27.06% (for soils), from 2.68 to 20.14% (for plants), which once again proves the need to take into account this component of the analysis error, that is, the need to select and analyze parallel samples.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-14
DOI
https://doi.org/10.1051/bioconf/202519401081/pdf
Primary Topic
Railway Systems and Materials Science
Type
article
Field-Weighted Citation Impact
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article

Impact of coal mining on heavy metal content in soil and vegetation using XRF analysis

Springer Link (Chiba Institute of Technology)
Railway Systems and Materials Science
article

Impact of coal mining on heavy metal content in soil and vegetation using XRF analysis

article en

Abstract

To determine the content of TiO2, V, Cr, MnO, Fe2O3, Ni, Cu, Zn, As, Sr, CaO, Al2O3, SiO2, P2O5, K2O, MgO in soil samples and Zn, Ni, Mn, Ca, Al, K, Mg, P, Sr in plant samples the method of X-ray fluorescence analysis was applied on the territory of the coal mining enterprise, which makes it possible to analyze samples without destroying their basis by chemical and thermal effects. Exceeding the values of the maximum permissible concentrations of certain elements in the studied soil and vegetation samples is mainly noted in samples taken at reference points exposed to technogenic effects. The estimation of the sampling error showed that the coefficient of variation is significant and varies from 7.72 to 27.06% (for soils), from 2.68 to 20.14% (for plants), which once again proves the need to take into account this component of the analysis error, that is, the need to select and analyze parallel samples.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 45%
Railway Systems and Materials Science
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