Principal Component Analysis for Water Quality Assessment of the Ganga River in Uttar Pradesh, India

2019 ◽  
Vol 46 (5) ◽  
pp. 789-806
Author(s):  
Kamal Jyoti Maji ◽  
Ramjee Chaudhary
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Quality Assessment ◽  
Uttar Pradesh ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Component Analysis ◽  
Ganga River

Water Quality Assessment of the northern part of Suez Gulf (Red Sea, Egypt), using Principal Component Analysis.

2019 ◽  
Vol 23 (4) ◽  
pp. 527-538
Author(s):  
Alaa I. Khedr ◽  
Yosry A. Soliman ◽  
Esaam F. El-Sherbeny ◽  
Mohamed A. Hamed ◽  
Mohamed A. Ahmed ◽  
...  
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Quality Assessment ◽  
Red Sea ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Component Analysis ◽  
Suez Gulf

Assessment of Water Quality Using Grey Relational Analysis and Principal Component Analysis

2011 ◽  
Vol 255-260 ◽  
pp. 2829-2835 ◽  
Author(s):  
Yong Qian Cheng ◽  
Hong Mei Ma ◽  
Qian Wu Song ◽  
Yue Zhang
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Grey Relational Analysis ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Component Analysis ◽  
Comprehensive Assessment ◽  
Relative Importance ◽  
Relational Analysis ◽  
Grey Relational

This paper investigates the comprehensive assessment of water quality, which is generally a multi-attribute assessment problem. In this context, the grey relational analysis is adopted to settle the no uniformity problem of water quality attributes. The principal component analysis is applied to calculate the weighting values corresponding to various attributes of water quality so that their relative importance can be properly and objectively described. Results of study reveal that grey relational analysis coupled with principal component analysis can effectively solve the multi-attribute water quality assessment. The method is universal and can be a useful tool to improve the comprehensive assessment of water quality.

scholarly journals Groundwater Quality Assessment: An Improved Approach to K-Means Clustering, Principal Component Analysis and Spatial Analysis: A Case Study

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 437 ◽  
Author(s):  
Ana Marín Celestino ◽  
Diego Martínez Cruz ◽  
Elena Otazo Sánchez ◽  
Francisco Gavi Reyes ◽  
David Vásquez Soto
Keyword(s):  
Principal Component Analysis ◽  
Spatial Analysis ◽  
Groundwater Quality ◽  
Quality Assessment ◽  
Principal Component ◽  
Component Analysis ◽  
Groundwater Quality Assessment
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