In this study, multivariate statistical methods including factor, principal component and cluster analysis were applied to surface water quality data sets obtained from the Tahtali River Basin, Turkey. Factor and principal components analysis results revealed that surface water quality was mainly controlled by agricultural uses and domestic discharges. Cluster analysis generated two clusters. Based on the locations of the sites consisted by each cluster and variable concentrations at these stations, it was concluded that agricultural discharges strongly affected north and northeast part of the region. These methods are believed to assist water managers to understand complex nature of water quality issues and determine priorities to improve ...
This study evaluates the spatial variation of river water quality and identifies major sources of wa...
TEPE, Yalcin/0000-0002-8415-3754WOS: 000417007300014Multivariate statistical techniques, cluster ana...
The purpose of this study was to assess theimpact of 24 water parameters, measured semi-annuallybetw...
In this study, multivariate statistical methods including factor, principal component and cluster an...
The surface water quality of Porsuk River in Turkey was evaluated by using the multivariate statisti...
This study is focused on water quality of Melen River (Turkey) and evaluation of 26 physical and che...
AKKAN, TAMER/0000-0002-9866-4475WOS: 000408078000029Yaglidere Stream is one of the major waterways f...
This environmetric study deals with the interpretation of river water monitoring data from the basin...
WOS: 000338975300006Multivariate statistical methods are successfully used in many areas. Cluster An...
The spatio-temporal variations of surface water quality and the level of metal contamination in the ...
The authors are thankful to Artvin Coruh University Scientific Research Project Coordination for sup...
Multivariate statistical methods are successfully used in many areas. Cluster Analysis and Principal...
This paper illustrates the utility of multivariate statistical techniques for analysis and interp...
WOS: 000436522600035This study was performed by collecting water samples at three sites of Terzi Pon...
This study evaluates the spatial variation of river water quality and identifies major sources of wa...
This study evaluates the spatial variation of river water quality and identifies major sources of wa...
TEPE, Yalcin/0000-0002-8415-3754WOS: 000417007300014Multivariate statistical techniques, cluster ana...
The purpose of this study was to assess theimpact of 24 water parameters, measured semi-annuallybetw...
In this study, multivariate statistical methods including factor, principal component and cluster an...
The surface water quality of Porsuk River in Turkey was evaluated by using the multivariate statisti...
This study is focused on water quality of Melen River (Turkey) and evaluation of 26 physical and che...
AKKAN, TAMER/0000-0002-9866-4475WOS: 000408078000029Yaglidere Stream is one of the major waterways f...
This environmetric study deals with the interpretation of river water monitoring data from the basin...
WOS: 000338975300006Multivariate statistical methods are successfully used in many areas. Cluster An...
The spatio-temporal variations of surface water quality and the level of metal contamination in the ...
The authors are thankful to Artvin Coruh University Scientific Research Project Coordination for sup...
Multivariate statistical methods are successfully used in many areas. Cluster Analysis and Principal...
This paper illustrates the utility of multivariate statistical techniques for analysis and interp...
WOS: 000436522600035This study was performed by collecting water samples at three sites of Terzi Pon...
This study evaluates the spatial variation of river water quality and identifies major sources of wa...
This study evaluates the spatial variation of river water quality and identifies major sources of wa...
TEPE, Yalcin/0000-0002-8415-3754WOS: 000417007300014Multivariate statistical techniques, cluster ana...
The purpose of this study was to assess theimpact of 24 water parameters, measured semi-annuallybetw...