摘要
文章利用主成分分析法,建立评价模型,对奎河水污染情况进行分析。通过线性分析,用贡献率来舍弃不敏感的信息,以主成分变量代替原始数组,并计算出水污染指标的权重系数,构造出评价函数,从而定量分析影响河流水质的主要污染物。评价结果:2013年,奎河5个监测河段的水污染情况不均衡,主要污染物为氨氮、总磷。
Principal component analysis method was applied to establish the evaluation model for analyzing the situation of water pollution in the Kuihe river. Through the linear analysis, the contribution rate was used to reject insensitive information, replacing the original array with principal component variables, to calculate weight coefficient of water pollution indexes to make up the evaluation function, so as to quantity and analyze the major pollutants effecting river quality. The evaluated results show that water pollution state is unbalanced in five monitored river sections, and the main pollutants are ammonia nitrogen and total phosphorus.
出处
《黑龙江水利科技》
2017年第9期149-152,共4页
Heilongjiang Hydraulic Science and Technology
关键词
奎河
水质
主成分分析法
综合评价
污染
Kuihe river
water quality
pollution
principal component analysis
comprehensive evaluation
pollution
