基于投影寻踪和粒子群优化算法的南宁市内河水质综合评价研究

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）和总磷等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，采用粒子群算法对该评价模型进行优化，并将其应用于南宁市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，方法简单、评价结果合理可信，为我国城市内河水质的评价提供了新途径。

Study on Water Quality Evaluation of Nanning Inland River Based on Projection Pursuit and Particle Swarm Optimization

Pollution problem is getting worse in China's urban river at present.BOD5,CODcr,petroleum,volatile phenol,NH3-N and total phosphorus for the evaluation factor were selected by analyzing inland river water quality affecting factors,a water quality evaluation method was established,optimized its project direction used Particle Swarm Optimization,and the model was applied to Nanning inland river.The evaluation results were accurate,and some errors were eliminated because of the subjective factors for tradition...