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2005383 
Journal Article 
SPSS for Water Pollution Contribution of Tonghui River in Beijing Based on Principal Component Analysis 
Zhang Liping; Pang Jie; Ke Lei; Shi Yuanyuan; Yang Muqi; Hu Qianyu; Guo Yuanjie 
2012 
Yes 
Advanced Materials Research
ISSN: 1022-6680 
Advanced Materials Research 
343-344 
483-489 
WOS:000309383700083 
this paper researches on sewage discharge condition along Tonghui River in Beijing. According to stationing principle and field investigation, there are 18 sewage outlets along Tonghui River and select 7 main water quality pollution indicators and sewage flow to assess the sewage outlets' pollution distribution. By means of SPSS soft applied in principal component analysis method, paper analysis on the main pollution indicators and the main pollution contribution sewage outlets. The result shows 3 extracted principal components reflect 88.92% information of primitive variables. Then solve the formula of the 3 extracted principal components as F1, F2, F3. According to the contribution percentage of variance in table III, the function of comprehensive evaluation expression can be deduced as F= 0.727F1+0.187F2+0.086F3. The results show that among the 18 sewage outlets, the worst pollution contribution is No.16 outlet, the 18 sewage outlets' pollution contribution to Tonghui River is in the order of NO.16> NO.11> NO.12> NO.3> NO.8> NO.9> NO.13> NO.14> NO.17> NO.10> NO.15> NO.6> NO.18> NO.5> NO.1> NO.7> NO.4> NO.2. The assessment result is tally with the actual situation. Administrative means, technical means and management means are the effective measures to improve water quality of Tonghui River. 
SPSS; principal component analysis; sewage outlet; pollution contribution; Tonghui River in Beijing; prevention and treatment