Assessment of the water quality of Kłodnica River catchment using self-organizing maps.
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.
Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, 11/12 Narutowicza, 80-233 Gdańsk, Poland.
Ewa
E
Olkowska
Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, 11/12 Narutowicza, 80-233 Gdańsk, Poland.
Błażej
B
Kudłak
Chair of Analytical Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia "St. Kl. Okhridski", 1, J. Bourchier Blvd., 1164 Sofia, Bulgaria.
Stefan
S
Tsakovski
Earth Sciences Faculty, University of Silesia, Będzińska Str. 60, 41-200 Sosnowiec, Poland.
Marek
M
Ruman
Chair of Analytical Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia "St. Kl. Okhridski", 1, J. Bourchier Blvd., 1164 Sofia, Bulgaria.
Vasil
V
Simeonov
Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, 11/12 Narutowicza, 80-233 Gdańsk, Poland. Electronic address: zanpolko@pg.gda.pl.
Zaneta
Z
Polkowska
D002617:Chemical Industry; D004784:Environmental Monitoring; D040362:Geographic Information Systems; D062305:Geographic Mapping; D008669:Metallurgy; D008906:Mining; D011210:Power Plants; D018570:Risk Assessment; D045483:Rivers / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data; D060753:Water Quality
D014874:Water Pollutants, Chemical
Data mining; Environmental monitoring; Heavy metal pollution; Risk assessment; Surface water pollution