A set of quantitative analytical data for 13 rivers belonging to the basin of the Tanaro (Piedmont region, north-western Italy) has been processed by multivariate statistical techniques. The original matrix, which refers to the year 1990, consisted of 20 chemical and physico-chemical variables, determined at 44 sampling sites. The following methods have been used for the treatment of the data: cluster analysis (unsupervised pattern recognition), factor analysis, variable selection by Fisher weights. A comparison has also been made between the data referring to 1990 and to 1978 in order to investigate the evolution of the environmental situation for the Tanaro basin after such a lapse of time. This comparison has been carried out by processing the 3-D matrix which collects the data of the two different periods.

POLLUTION OF A RIVER BASIN AND ITS EVOLUTION WITH TIME STUDIED BY MULTIVARIATE STATISTICAL-ANALYSIS

ARUGA, Roberto;GASTALDI, Daniela;OSTACOLI, Giorgio
1995-01-01

Abstract

A set of quantitative analytical data for 13 rivers belonging to the basin of the Tanaro (Piedmont region, north-western Italy) has been processed by multivariate statistical techniques. The original matrix, which refers to the year 1990, consisted of 20 chemical and physico-chemical variables, determined at 44 sampling sites. The following methods have been used for the treatment of the data: cluster analysis (unsupervised pattern recognition), factor analysis, variable selection by Fisher weights. A comparison has also been made between the data referring to 1990 and to 1978 in order to investigate the evolution of the environmental situation for the Tanaro basin after such a lapse of time. This comparison has been carried out by processing the 3-D matrix which collects the data of the two different periods.
1995
310
15
25
CHEMOMETRICS; CLUSTERING; FACTOR ANALYSIS; MULTIVARIATE ANALYSIS; POLLUTION; RIVER POLLUTION
Aruga R.; Gastaldi D.; Negro G.; Ostacoli G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/57370
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