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A platform for research: civil engineering, architecture and urbanism
In order to explore the relationship between water quality indicators and the cross-section, this paper applied principal component analysis to evaluate comprehensively the water quality monitoring sections of the Liaohe River. The results showed that the water quality of the Liaohe River Tieling and Shenyang segments belonged to the inferior class V water. In this paper, water quality assessment and water environment quality grading used respectively two ways that were not and setting up a virtual cross-section to avoid the classification of water environment quality impacting on the relationship between water quality indicators and quality monitoring sections. Principal component score applied two and three-dimensional graphic display, made expression of the water pollution situation more intuitive.
In order to explore the relationship between water quality indicators and the cross-section, this paper applied principal component analysis to evaluate comprehensively the water quality monitoring sections of the Liaohe River. The results showed that the water quality of the Liaohe River Tieling and Shenyang segments belonged to the inferior class V water. In this paper, water quality assessment and water environment quality grading used respectively two ways that were not and setting up a virtual cross-section to avoid the classification of water environment quality impacting on the relationship between water quality indicators and quality monitoring sections. Principal component score applied two and three-dimensional graphic display, made expression of the water pollution situation more intuitive.
The Application of Principal Component Analysis in Comprehensive Evaluation of Liaohe River Water Quality
2013
4 Seiten
Conference paper
English
River water quality assessment based on principal component analysis
| British Library Conference Proceedings | 2011
| British Library Online Contents | 2008
| British Library Online Contents | 2008