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Journal of Mining Science

, Volume 52, Issue 5, pp 1011–1019 | Cite as

Identification of pollutant clusters in trade effluents in Kuzbass

  • V. N. Oparin
  • V. P. Potapov
  • A. B. Logov
  • E. L. Schastlivtsev
  • N. I. Yukina
Mining Ecology

Abstract

The entropy analysis is used to study composition of trade effluents in the Kemerovo Region. Clusters of pollutants: aniline, fats, oils, oil products, phenols, synthetic surfactants, silicon, fluorine, chromium, cyanides, aluminium, vanadium, iron, magnesium, copper, nickel, lead, zinc, nitrates, nitrites, ammonia nitrogen are detected in organic and metal-bearing water solutions. The evolution of population of the pollutants in surface water bodies in 2008–2013 is illustrated. It is found that water quality of most water bodies in the discussed mining region is beyond standard.

Keywords

Entropy analysis pollution ingredients water bodies trade effluent coal mines Kuzbass clusters 

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Copyright information

© Pleiades Publishing, Ltd. 2016

Authors and Affiliations

  • V. N. Oparin
    • 1
  • V. P. Potapov
    • 2
  • A. B. Logov
    • 2
  • E. L. Schastlivtsev
    • 2
  • N. I. Yukina
    • 2
  1. 1.Chinakal Institute of Mining, Siberian BranchRussian Academy of SciencesNovosibirskRussia
  2. 2.Institute of Computational Technologies (Kemerovo Division), SBRussian Academy of SciencesKemerovoRussia

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