10 pages, 5 figures.-- PMID: 17386537 [PubMed].-- Available online Oct 12, 2006.Three sampling campaigns were carried out in rivers located at two hydrographic basins affected by urban and semi-urban areas around the Metropolitan area of A Coruña (ca. 500,000 inhabitants, NW-Spain) to study local and temporal variations of 21 physicochemical parameters (pH, conductivity, Cl−, SO4(2−), SiO2, Ca2+, Mg2+, Na+, K+, hardness, NO3−, NO2−, NH4+, COD, PO4(3−), Zn2+, Cu2+, Mn2+, Pb2+, alkalinity and acidity) in 23 sampling points. The temporal evolution of the water quality was assessed by matrix augmentation principal components analysis (MA-PCA) and parallel factor analysis (PARAFAC). Moreover, classical principal components analysis (PCA) (one p...
Seasonally dependent water quality data of Langat River was investigated during the period of Decemb...
Seasonally dependent water quality data of Langat River was investigated during the period of Decemb...
Chemometric methods are applied to the analysis and interpretation of large multivariate data sets o...
International audienceIn this work, four major Lebanese rivers were investigated, the Damour, Ibrahi...
Assessing the water quality in a river basin seems to be an easy tool. However, some degree of exper...
International audienceThe assessment of dissolved loadings and the sources of these elements in urba...
In this study, spatial and seasonal variations of water quality in Haraz River Basin were evaluated ...
Rapid urban development has led to a critical negative impact on water bodies flowing in and around...
Chemometric methods are applied to the analysis and interpretation of large multivariate data sets o...
Evaluating the quality of river water is a critical process due to pollution and variations of natur...
This study was a continuation of our investigation of the spatio-temporal variability of the Bzura R...
In the Duliujian River, 12 water environmental parameters corresponding to 45 sampling sites were an...
Water quality evaluation provides important information to estimate water system status and to test ...
The aim of this paper was the application of multivariate statistical techniques to evaluate spatial...
Rivers are increasingly being subjected to increased anthropogenic pollution stresses that are under...
Seasonally dependent water quality data of Langat River was investigated during the period of Decemb...
Seasonally dependent water quality data of Langat River was investigated during the period of Decemb...
Chemometric methods are applied to the analysis and interpretation of large multivariate data sets o...
International audienceIn this work, four major Lebanese rivers were investigated, the Damour, Ibrahi...
Assessing the water quality in a river basin seems to be an easy tool. However, some degree of exper...
International audienceThe assessment of dissolved loadings and the sources of these elements in urba...
In this study, spatial and seasonal variations of water quality in Haraz River Basin were evaluated ...
Rapid urban development has led to a critical negative impact on water bodies flowing in and around...
Chemometric methods are applied to the analysis and interpretation of large multivariate data sets o...
Evaluating the quality of river water is a critical process due to pollution and variations of natur...
This study was a continuation of our investigation of the spatio-temporal variability of the Bzura R...
In the Duliujian River, 12 water environmental parameters corresponding to 45 sampling sites were an...
Water quality evaluation provides important information to estimate water system status and to test ...
The aim of this paper was the application of multivariate statistical techniques to evaluate spatial...
Rivers are increasingly being subjected to increased anthropogenic pollution stresses that are under...
Seasonally dependent water quality data of Langat River was investigated during the period of Decemb...
Seasonally dependent water quality data of Langat River was investigated during the period of Decemb...
Chemometric methods are applied to the analysis and interpretation of large multivariate data sets o...