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 :
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