DocumentCode
2467412
Title
Assessment of surface water quality of the Songhuajiang River basin, China
Author
Liu, Guangxun ; Chen, Yu ; Xu, Yuan ; Wang, Yuqiu ; Wang, Dong ; Zhao, Yue ; Zhang, Jing
Author_Institution
Coll. of Environ. Sci. & Eng., Nankai Univ., Tianjin, China
fYear
2011
fDate
24-26 June 2011
Firstpage
5755
Lastpage
5758
Abstract
Principal component analysis (PCA) were applied to assess surface water quality of the Songhuajiang River basin, China. Thirteen physical-chemical parameters in 25 stations were collected monthly during the period of 2008. Three factors were extracted by PCA, which explained 83.79% of the total variance. The first factor (PCA1) was positive correlated with permanganate index, BOD5, NH3-N, CODCr, TN, and had negative loading on DO. The second factor (PCA2) captured variables of heavy metals, while pH, petroleum accounted for the greatest loading for factor 3(PCA3). Twenty five monitoring sites were clustered into three clusters based on 9 water quality parameters which were exceeded the water quality standards. The GIS maps of point source pollution yield and fertilizer pollution yield, together with water monitoring sites were applied to identify the main pollution sources. Industrial wastewater, agricultural activities and urban runoff influenced most of water quality variables. In high pollution area and moderate pollution area, multiple source pollution dominated. In low pollution area, the main pollution source was non-point source. These results provide information that can help local government to make better pollution control strategies for the Songhuajiang River basin.
Keywords
fertilisers; hazardous materials; industrial waste; local government; principal component analysis; river pollution; standards; water quality; China; GIS maps; Songhuajiang river basin; agricultural activities; fertilizer pollution yield; heavy metals; industrial wastewater; local government; permanganate index; petroleum; physical-chemical parameters; point source pollution yield; principal component analysis; surface water quality assessment; urban runoff; water monitoring sites; water quality standards; Environmentally friendly manufacturing techniques; Petroleum; Principal component analysis; Rivers; Water pollution; Water resources; cluster analysis; principal componen analysist; spatial pattern; water quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5965661
Filename
5965661
Link To Document