主成分分析法在长春市石头口门水库水环境质量评价中的应用

Application of Principal Component Analysis in Water Environmental Quality Evaluation of Shitoukoumen Reservoir in Changchun City

根据主成分分析法能够在保证原始数据信息损失最小的情况下,以少数的综合变量取代原有的多个变量的特点,对长春市石头口门水库汇水区的主要河流进行了水环境质量综合评价,并进一步对各个监测断面的水质优劣程度进行了排序。结果表明:该区水环境质量总体较差,以有机污染和农业非点源污染引起的水质污染为主。在空间分布上,石头口门断面水质相对较好,烟筒山断面和星星哨水库断面的水质次之,双阳河新安断面水质最差。

According to the characteristic of the principal component analysis, in which the minority comprehensive variable can substitute original many variable under the condition that the smallest primary data information is lost, the water environment quality of the main rivers in the Shitoukoumen Reservoir watershed in Changchun City is evaluated comprehensively in this paper. Further, the water quality of each monitored cross section is sorted. The results indicate that the water environment quality in the area is not good and the pollution is caused primarily by the organic pollution and the agricultural non-point source pollution. In spatial distribution, the water quality in Shitoukoumen is the best, that in Yantongshan and Xingxingshao reservoir is worse, and that in the Xin＇an cross section of Shuangyang River is the worst.