The aim of this research is to provide the assessment of water quality with a wider scheme of interrelations between the water quality parameters and locations using a reliable visual approach of multicriteria PROMETHEE and GAIA methods. The case study of one of the largest and regionally most important catchment areas on the territory of the Republic of Serbia—the Tisa River Basin—was therein used. The analysis of water quality included scenarios for warm (summer), cold (winter), and average annual period. A partial and complete ranking of locations according to the quality of water was performed by applying the PROMETHEE method and expanded afterward by GAIA method analysis to point out critical locations with endangered water quality (M6...
This study is focused on water quality of Melen River (Turkey) and evaluation of 26 physical and che...
ABSTRACT This study evaluated the efficiency of the water quality monitoring network of the Sergipe...
In this study, multivariate statistical methods including factor, principal component and cluster an...
River quality analysis is an important activity which, in Serbia, has been performed using the Serbi...
The aim of this article is to evaluate the quality of the Danube River in its course through Serbia ...
The WQI method is most frequently used in expert and scientific research and basically it provides a...
River quality analysis is an important activity which, in Serbia, has been performed using the Serbi...
River quality analysis is an important activity which, in Serbia, has been performed using the Serb...
This paper illustrates the utility of multivariate statistical techniques for analysis and interp...
This study presents the application of multivariate statistical tools for the evaluation of spatial ...
In this study, spatial and seasonal variations of water quality in Haraz River Basin were evaluated ...
This study investigates the potential of using principal component analysis and other multivariate a...
This study aims to optimize the water quality monitoring of a polluted watercourse (Le double dagger...
This environmetric study deals with the interpretation of river water monitoring data from the basin...
A Water Quality Index (WQI) is a numeric expression used to evaluate the quality of water bodies and...
This study is focused on water quality of Melen River (Turkey) and evaluation of 26 physical and che...
ABSTRACT This study evaluated the efficiency of the water quality monitoring network of the Sergipe...
In this study, multivariate statistical methods including factor, principal component and cluster an...
River quality analysis is an important activity which, in Serbia, has been performed using the Serbi...
The aim of this article is to evaluate the quality of the Danube River in its course through Serbia ...
The WQI method is most frequently used in expert and scientific research and basically it provides a...
River quality analysis is an important activity which, in Serbia, has been performed using the Serbi...
River quality analysis is an important activity which, in Serbia, has been performed using the Serb...
This paper illustrates the utility of multivariate statistical techniques for analysis and interp...
This study presents the application of multivariate statistical tools for the evaluation of spatial ...
In this study, spatial and seasonal variations of water quality in Haraz River Basin were evaluated ...
This study investigates the potential of using principal component analysis and other multivariate a...
This study aims to optimize the water quality monitoring of a polluted watercourse (Le double dagger...
This environmetric study deals with the interpretation of river water monitoring data from the basin...
A Water Quality Index (WQI) is a numeric expression used to evaluate the quality of water bodies and...
This study is focused on water quality of Melen River (Turkey) and evaluation of 26 physical and che...
ABSTRACT This study evaluated the efficiency of the water quality monitoring network of the Sergipe...
In this study, multivariate statistical methods including factor, principal component and cluster an...