Multidimensional statistical analysis of pollution of natural surface water

Abstract

The article deals with the methodology of applying multidimensional statistical analysis to study the nature of pollution of natural surface waters. The initial variables were concentrations of pollutants, microbiological and sanitary-hygienic indicators of water. The initial stage of the study was based on the method of the main components, which made it possible to reduce the dimensionality of the system of indicators under study from 23 to 6 factors of a combined nature. Some factors are interpreted. For example, factor 1 corresponds to non-biological contamination. The hypothesis is considered, according to which the composition of total surface water pollution can be represented as a superposition of impurities from characteristic sources. As a result of testing this hypothesis, three groups of sources corresponding to three clusters were identified by the cluster analysis method. By assumption, the centroids of these clusters correspond to three characteristic sources of pollution.

Authors and Affiliations

A. Kolesnikov, E. A. Makovetskaya

Keywords

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  • EP ID EP327697
  • DOI -
  • Views 150
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How To Cite

A. Kolesnikov, E. A. Makovetskaya (2017). Multidimensional statistical analysis of pollution of natural surface water. Вісник Одеської державної академії будівництва та архітектури, 1(69), 128-132. https://europub.co.uk./articles/-A-327697