RIVER POLLUTION DATA INTERPRETED BY MEANS OF CHEMOMETRIC METHODS

Citation
Jw. Einax et al., RIVER POLLUTION DATA INTERPRETED BY MEANS OF CHEMOMETRIC METHODS, Microchemical journal, 58(3), 1998, pp. 315-324
Citations number
10
Categorie Soggetti
Chemistry Analytical
Journal title
ISSN journal
0026265X
Volume
58
Issue
3
Year of publication
1998
Pages
315 - 324
Database
ISI
SICI code
0026-265X(1998)58:3<315:RPDIBM>2.0.ZU;2-B
Abstract
Environmental data, including river pollution data, are characterized by high variability. Much information is lost by using only univariate graphical or statistical methods for data evaluation and interpretati on. Chemometric methods, in particular methods of multivariate data an alysis, help to extract the latent information in such data. The combi nation of cluster analysis as the first step and multivariate analysis of variance and discriminant analysis as the second step enables iden tification of similar locations in a river. Pollution sources and disc hargers can be detected by means of factor analysis. The deposition-re mobilization behavior of metals in a river can be described using part ial least squares regression. Summarizing, it can be stated that metho ds of multivariate data analysis are powerful tools for the evaluation and interpretation of river pollution data. (C) 1998 Academic Press.