SPSS For Water Quality Assessment Of Beijing Typical River Based On Principal Component Analysis
this paper researches on water quality condition of WenYu River basin in Beijing. According to stationing principle and field investigation, the whole basin is divided as 22 monitoring sections and 10 pollution indicators. By means of SPSS soft applied in principal component analysis method, paper analysis on the main pollution indicators and the main pollution contribution sections. The result shows four extracted principal components reflect 91.81％ information of primitive variables. Then solve the formula of the four extracted principal components as F1, F2, F3, F4. According to the contribution percentage of variance in table D, the function of comprehensive evaluation expression can be deduced as F-0.692F,+0.125F2+0.106F3+0.077F4. The results show that among the 19 current perennial cross-sections, the worst water quality is in NO. 14 section, the best water quality is in NO. 12 section, the 19 cross-sections pollution status is in the order of NO. 14>NO.7>NO.2>NO. 1 >NO. 17>NO.6>NO.8>NO. 19> N0.18>N0.13>NO.5>NOJ>NO.4>NO.15>NO.16>N0.11> NO.10> NO.9> NO.12. 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 WenYu River basin.
SPSS principal component analysis water quality assessment tipical river of Beijing prevention and treatment
Zhang Liping Pang Jie Wang Yongchao Yang Muqi Shi Yuanyuan Yang Liu
School of Chemical & Environmental Engineering China University of Mining & Technology, Beijing Beijing, China, 100083
国际会议
2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)
长沙
英文
395-398
2010-12-18（万方平台首次上网日期，不代表论文的发表时间）