SPSS for Water Quality Assessment of Beijing Typical River Based on Principal Component Analysis

摘要

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, the function of comprehensive evaluation expression can be deduced as F= 0.692F1+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> NO.18>NO.13>NO.5>NO.3>NO.4>NO.15>NO.16>NO.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.