Spatial Variation Assessment of River Water Quality Using Environmetric Techniques
نویسندگان
چکیده
منابع مشابه
Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques.
This study investigates the spatial water quality pattern of seven stations located along the main Langat River. Environmetric methods, namely, the hierarchical agglomerative cluster analysis (HACA), the discriminant analysis (DA), the principal component analysis (PCA), and the factor analysis (FA), were used to study the spatial variations of the most significant water quality variables and t...
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This study investigates spatial water quality assessment of selected river basins in the three different states in Malaysia. Environmetric techniques namely, cluster analysis (CA), principal component analysis (PCA), and discriminant analysis (DA), were applied to study the spatial variations of the most significant water quality variables in order to determine the origin of pollution sources ...
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Environmetric techniques such as cluster analysis (CA), principal component analysis (PCA), factor analysis (FA) and discriminant analysis (DA) were applied for the assessment of spatial and temporal variations of a large complex water quality data set of the Songkhram River Basin, generated during 15 years (1995–2009) by monitoring of 17 parameters at 5 different sites. Hierarchical CA grouped...
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The present study deals with the assessment of Langat River water quality with some chemometrics approaches such as cluster and discriminant analysis coupled with an artificial neural network (ANN). The data used in this study were collected from seven monitoring stations under the river water quality monitoring program by the Department of Environment (DOE) from 1995 to 2002. Twenty three phys...
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ژورنال
عنوان ژورنال: Polish Journal of Environmental Studies
سال: 2016
ISSN: 1230-1485,2083-5906
DOI: 10.15244/pjoes/64082