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Abstract
Risk assessment of industrial areas heavily polluted due to anthropogenic actions is of increasing concern worldwide. So is the case of Polish Silesia region where mostly heavy industry like smelters, mining, chemical industries as well as heat and electricity production facilities are being located. Such situation raises numerous questions about environmental state of local water bodies with special attention paid to the Kłodnica Catchment which is receiving waste waters from numerous industrial plants. The efforts have been undertaken to describe the situation (spatial and temporal distribution of pollution) in the area of interest with the help of self-organizing maps – modern non-parametric data mining method – yet still rarely applied in environmental studies where numerous input parameters have to be considered. As a result of studies clear distinction into 3 pollution groups could be obtained as well as the seasonal variation of pollution could be distinguished.
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Authors (6)
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Stefan Tsakovsky
- Faculty of Chemistry and Pharmacy, University of Sofia Chair of Analytical Chemistry
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Marek Ruman
- University of Silesia Earth Sciences Faculty
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Vasil Simeonov
- Chemistry and Pharmacy, University of Sofia Chair of Analytical Chemistry
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
SCIENCE OF THE TOTAL ENVIRONMENT
no. 476-477,
pages 477 - 484,
ISSN: 0048-9697 - Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Olkowska E., Kudłak B., Tsakovsky S., Ruman M., Simeonov V., Polkowska Ż.: Assessment of the water quality of Kłodnica River catchment using self-organizing maps// SCIENCE OF THE TOTAL ENVIRONMENT. -Vol. 476-477, (2014), s.477-484
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.scitotenv.2014.01.044
- Verified by:
- Gdańsk University of Technology
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