蚁群投影寻踪回归在湖泊水质富营养化评价中的应用  

APPLICATION OF PROJECTION PURSUIT REGRESSION BASED ON ANT COLONY ALGORITHM IN EVALUATION OF LAKE EUTROPHICATION

作　　者：方崇[1] 黄伟军[1] 周秀平[2] 

机构地区：[1]广西水利电力职业技术学院,南宁530023 [2]四川大学水利水电学院,成都610065

出　　处：《环境工程》2010年第3期104-107,94,共5页Environmental Engineering

基　　金：国家自然科学基金项目(No.50679047;No.50779042)

摘　　要：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.

关 键 词：投影寻踪 蚁群优化算法 湖泊 富营养化 综合评价 MATLAB 

分 类 号：X824[环境科学与工程—环境工程]