根据湖泊富营养化特性,选择总磷(TP)、总氮(TN)、耗氧量(CODMn)、透明度(SD)、生物量等5个评价指标作为评价因子,建立湖泊富营养化评价的投影寻踪分析模型,采用蚁群算法对评价模型进行优化,并将该模型应用于我国8个湖泊富营养化程度的评价。研究表明:投影寻踪回归分析法,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,为湖泊水体营养化状态的评价提供了新途径。
Based on characteristics of lake eutrophication,total phosphorus(TP),total nitrogen(TN),oxygen consumption(CODMn),transparency(SD),microbial population numbers,etc.5 evaluation indicators were chosen as evaluation factors.Projection pursuit analysis model of evaluation of the lake eutrophication was established,The evaluation model was optimized using ant colony algorithm,which was applied to analysis of eight lakes.The evaluation results are accurate,this method is simple,and some errors were eliminated due to avoiding the subjective factors for traditional methods.Projection pursuit analysis is a new evaluation method of the lake eutrophication.