DocumentCode
3333147
Title
Notice of Retraction
Multivariate Statistical Techniques for the Evaluation of Water Quality: A Case Study in Shitoukoumen Reservoir Catchment
Author
Zhang Lei ; Lu Wen-xi ; An Yong-lei ; Xin Xin ; Li Di ; Yi Yan-ping
Author_Institution
Coll. of Environ. & Resource, Jilin Univ., Changchun, China
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Multivariate statistical approach was used to investigate the dominant factors that influence the water quality deterioration of Shitoukoumen Reservoir in Changchun City, China and comprehensively evaluated its water quality. According to the data generated during 2001-2007, with monitoring at four different sites, cluster analysis (CA) and factor analysis (FA) were applied to identify the possible factors or/and sources that influenced surface water quality. Results show that: three factors were extracted through factor analysis. Factorl was dominated by DO, Ammonical nitrogen, TN, CODMn, COD, BOD5; factor 2 was TP; factor 3 included fluoride and total coliforms. Comprehensive evaluation results showed the water quality of Shitoukoumen reservoir belongs to Grade III and the main pollutant is TP. The water quality of Yinma River and Chalu River belong to Grade III which are mainly influenced by factor 1. The average quality of Shuangyang River belongs to Grade V and the pollutants may result from factor 1 and factor 2. The water quality deterioration of Shitoukoumen catchment is mainly resulting from the non-point source pollution and domestic wastewater. This study indicates the necessity and usefulness of multivariate statistical techniques for evaluation and interpretation of the data with a view to get better information about the water quality and design some remedial techniques to ensure the safety of drinking water in Changchun.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Multivariate statistical approach was used to investigate the dominant factors that influence the water quality deterioration of Shitoukoumen Reservoir in Changchun City, China and comprehensively evaluated its water quality. According to the data generated during 2001-2007, with monitoring at four different sites, cluster analysis (CA) and factor analysis (FA) were applied to identify the possible factors or/and sources that influenced surface water quality. Results show that: three factors were extracted through factor analysis. Factorl was dominated by DO, Ammonical nitrogen, TN, CODMn, COD, BOD5; factor 2 was TP; factor 3 included fluoride and total coliforms. Comprehensive evaluation results showed the water quality of Shitoukoumen reservoir belongs to Grade III and the main pollutant is TP. The water quality of Yinma River and Chalu River belong to Grade III which are mainly influenced by factor 1. The average quality of Shuangyang River belongs to Grade V and the pollutants may result from factor 1 and factor 2. The water quality deterioration of Shitoukoumen catchment is mainly resulting from the non-point source pollution and domestic wastewater. This study indicates the necessity and usefulness of multivariate statistical techniques for evaluation and interpretation of the data with a view to get better information about the water quality and design some remedial techniques to ensure the safety of drinking water in Changchun.
Keywords
geochemistry; hydrological techniques; pattern clustering; reservoirs; rivers; statistical analysis; wastewater; water quality; BOD5; CODMn; Chalu River; Changchun City; China; DO; Shitoukoumen Reservoir; Shitoukoumen catchment; TN; TP; Yinma River; ammonical nitrogen; cluster analysis; domestic wastewater; drinking water; factor analysis; fluoride; multivariate statistical approach; nonpoint source pollution; remedial techniques; surface water quality; total coliforms; water quality deterioration; Environmentally friendly manufacturing techniques; Monitoring; Reservoirs; Rivers; Water pollution;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5780835
Filename
5780835
Link To Document