Multivariate classification and modeling in surface water pollution estimation.

Multivariate classification and modeling in surface water pollution estimation. Research Abstract Details 

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Multivariate classification and modeling in surface water pollution estimation. Abstract Text:

The present study deals with the application of self-organizing maps (SOM) and multiway principal-components analysis to classify, model, and interpret a large monitoring data set for surface water quality. The chemometric methods applied made it possible to reveal specific quality patterns of the chemical and biological parameters used to monitor the water quality (relation between water temperature, turbidity, hardness, colibacteria), seasonal impacts during the long period of observation and the relative independence on the spatial location of the sampling sites (water supply sources for the City of Trieste). Figure The schematic procedure for surface water pollution estimation supported by neural network-based classification and multivariate factor analysis.

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Multivariate classification and modeling in surface water pollution estimation. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Analytical and bioanalytical chemistry

VOLUME: 390

Page Numbers: 1283-92

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ISSN: 1618-2650

DAY: 15

MONTH: 11

YEAR: 2007

Multivariate classification and modeling in surface water pollution estimation. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Multivariate classification and modeling in surface water pollution estimation.

AFFILIATION: Biology and Environmental Protection Institute, Environmental Chemistry Research Unit, Pomeranian Academy, 22a Arciszewskego Str., 76 200, Slupsk, Poland, astel@pap.edu.pl.

Country: Germany

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MEDLINETA: Anal Bioanal Chem

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