About statistical analysis of environmental pollution monitoring data obtained in the vicinity of a copper quarry

The article is devoted to the issue of the effectiveness of using statistical methods for processing of local environmental monitoring data with a small number of sampling points, on the example of research in the area of the quarry for the extraction of copper pyrite ores. Cluster analysis was used...

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Bibliographic Details
Published inAIP conference proceedings Vol. 2425; no. 1
Main Authors Medvedev, Alexander, Medvedev, Maxim, Medvedev, Nikolay
Format Journal Article Conference Proceeding
LanguageEnglish
Published Melville American Institute of Physics 06.04.2022
Subjects
Classification
Cluster analysis
Copper
Copper ores
Environmental monitoring
Extractive metallurgy
Nickel ores
Pollution
Pollution monitoring
Pyrite
Sampling
Soil contamination
Soil pollution
Statistical analysis
Statistical methods
Vegetation
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Summary:The article is devoted to the issue of the effectiveness of using statistical methods for processing of local environmental monitoring data with a small number of sampling points, on the example of research in the area of the quarry for the extraction of copper pyrite ores. Cluster analysis was used as a method for classifying 12 sampling points according to the level of soil and vegetation contamination with 6 metals. The results of the work showed that the statistical analysis of data on vegetation pollution (in contrast to data on soil pollution) makes it possible to quite clearly classify observation points subject to the direct influence of polluted industrial waters, background points with a natural level of the metals content, and also the points subject to the influence of another powerful and long working source of dust emissions - a metallurgical enterprise on processing of nickel ores.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0081589