scholarly journals Determination of Spatial and Temporal Changes in Surface Water Quality of Filyos River (Turkey) Using Principal Component Analysis and Cluster Analysis

2020 ◽  
Author(s):  
Elif YAĞANOĞLU
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Surface Water ◽  
Surface Water Quality ◽  
Principal Component ◽  
Spatial And Temporal Changes ◽  
And Cluster Analysis

scholarly journals Water Quality Assessment of Porsuk River, Turkey

2010 ◽  
Vol 7 (2) ◽  
pp. 593-599 ◽  
Author(s):  
Suheyla Yerel
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Surface Water ◽  
Surface Water Quality ◽  
Principal Component ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Porsuk River

The surface water quality of Porsuk River in Turkey was evaluated by using the multivariate statistical techniques including principal component analysis, factor analysis and cluster analysis. When principal component analysis and factor analysis as applied to the surface water quality data obtain from the eleven different observation stations, three factors were determined, which were responsible from the 66.88% of total variance of the surface water quality in Porsuk River. Cluster analysis grouped eleven observation stations into two clusters under the similarity of surface water quality parameters. Based on the locations of the observation stations and variable concentrations at these stations, it was concluded that urban, industrial and agricultural discharge strongly affected east part of the region. Finally, this study shows that the usefulness of multivariate statistical techniques for analysis and interpretation of datasets and determination pollution factors for river water quality management.

Research on a Multi-Index Comprehensive Evaluation Method for Surface Water Quality Assessment

2014 ◽  
Vol 1010-1012 ◽  
pp. 321-324 ◽  
Author(s):  
Xian Lin Meng ◽  
Guang Liang Fan ◽  
Xiao Hui Cao ◽  
Jun Guo He ◽  
Jian Hua Qu
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Surface Water ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Correlation Method ◽  
Surface Water Quality ◽  
Principal Component ◽  
Comprehensive Evaluation Method ◽  
Grey Correlation

The evaluation of surface water quality is a problem which relates to whether the environmental function and value do possess or not in the water. A new comprehensive evaluation method which combines Principal Component Analysis (PCA) and the weighted grey correlation method was presented in this paper. The reduction of indicators and the weakening of the multiple correlation among indicators were considered in Principal Component Analysis. According to different functional areas categories of every section, the weighted grey correlation method could determine the evaluation indicator’s weights, strengthen the effect of concerntrations of indicators and consider each indicator’s impact. The Mudanjiang River downstream sections were used as the research object. Based on the water quality monitoring data of typical monitoring section in 2013, the study on the environmental quality assessment of downstream section in mudanjiang was given in this paper. The efficiency of the evaluation process and the accuracy of the results can be improved.

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