scholarly journals Water Quality Assessment for Wastewater Reclamation Using Principal Component Analysis

2013 ◽  
Vol 21 (1) ◽  
pp. 45-54 ◽  
Author(s):  
R. X. Hao
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Quality Assessment ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Component Analysis ◽  
Wastewater Reclamation

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
Sign in / Sign up

Export Citation Format

Share Document