Assessment of Surface Water Quality Using Principal Component Analysis in the Yamuna River: A Case Study

2021 ◽  
pp. 289-293
Author(s):  
Bhuri Singh ◽  
Shahla Khan ◽  
Shahjaha
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Surface Water ◽  
Surface Water Quality ◽  
Principal Component ◽  
Component Analysis ◽  
Yamuna River

Principal Component Analysis of Hydrological Data

2010 ◽  
pp. 364-388
Author(s):  
Petr Praus
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Drinking Water ◽  
Ground Water ◽  
Principal Component ◽  
Component Analysis ◽  
Data Sets ◽  
Hydrological Data ◽  
First Case

In this chapter the principals and applications of principal component analysis (PCA) applied on hydrological data are presented. Four case studies showed the possibility of PCA to obtain information about wastewater treatment process, drinking water quality in a city network and to find similarities in the data sets of ground water quality results and water-related images. In the first case study, the composition of raw and cleaned wastewater was characterised and its temporal changes were displayed. In the second case study, drinking water samples were divided into clusters in consistency with their sampling localities. In the case study III, the similar samples of ground water were recognised by the calculation of cosine similarity, the Euclidean and Manhattan distances. In the case study IV, 32 water-related images were transformed into a large image matrix whose dimensionality was reduced by PCA. The images were clustered using the PCA scatter plots.

Assessment of water quality using principal component analysis: a case study of the Marrecas stream basin in Brazil

2020 ◽  
pp. 1-10 ◽  
Author(s):  
Alexandre Teixeira de Souza ◽  
Lucas Augusto T. X. Carneiro ◽  
Osmar Pereira da Silva Junior ◽  
Sérgio Luís de Carvalho ◽  
Juliana Heloisa Pinê Américo-Pinheiro
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis

scholarly journals Evaluation of Different Anthropogenic Effluents Impacts on the Water Quality Using Principal Component Analysis: A Case Study of Abu-Qir Bay-Alexandria-Egypt

2019 ◽  
Vol 7 (3) ◽  
pp. 56 ◽  
Author(s):  
Mohammed Attia Shreadah ◽  
Abeer Abdel-Mohsen Mohamed El-Sayed ◽  
Asia Abdel Samea Taha ◽  
Abdel-Monem Mohamed Ahmed ◽  
Hanaa Hamam Abdel Rahman
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Abu Qir Bay

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.

Sign in / Sign up

Export Citation Format

Share Document