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针对目前我国城市内河普遍遭到污染的问题,在分析影响内河水质因素的基础上,选取BOD5(五日生化需氧量)、CODcr(化学需氧量)、石油类、挥发酚、NH3-N(氨氮)、总磷等6个主要因素作为评价因子,建立了城市内河水质评价的投影寻踪分析模型,采用人口迁移算法对评价模型进行优化,并将该模型应用于南宁市10条内河水质的评价与排序。研究表明,用投影寻踪回归分析法进行水质评价,避免了传统评价方法由于主观原因造成的误差,评价结果合理可信、方法简单,为我国城市内河水质的评价提供了新途径。
Aiming at the problem that the inland river in our country is generally polluted, on the basis of analyzing the factors influencing inland river water quality, BOD5 (BOD5), CODcr (chemical oxygen demand), petroleum, volatile phenol, NH3-N (Ammonia nitrogen) and total phosphorus as the evaluation factors, a projection pursuit model of inland water quality evaluation was established. The population migration algorithm was used to optimize the evaluation model. The model was applied to 10 inland water quality The evaluation and sorting. The research shows that using projection pursuit regression analysis to evaluate water quality avoids the error caused by subjective reasons of traditional evaluation methods, the evaluation results are reasonable and credible and the method is simple, which provides a new way for the evaluation of urban river water quality in China.