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个主要指标作为评价因子,建立湖泊富营养化评价的投影寻踪分析模型,采用人口迁移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,为湖泊水体富营养化状态的评价提供了新途径。
Based on characteristics of lake eutrophication, the total phosphorus （TP）, total nitrogen （TN）, oxygen consumption （CODMn）, transparency （SD） and microbial population were chosen as evaluation factors. Projection pursuit analysis model of the lake eutrophication evaluation was established, and optimized using Population migration algorithm. The model was used for analysis of eight lakes. Results showed that the method was simple, the evaluation result was accurate, and some errors in traditional methods were eliminated. Therefore, projection pursuit is a new evaluation method with a wide application prospect for lake eutrophication.
出处
《湖北农业科学》
北大核心
2010年第10期2512-2516,共5页
Hubei Agricultural Sciences
基金
国家自然科学基金项目(50679047)
广西水利水电科技计划项目(桂水科合字2005-2号)
关键词
投影寻踪
人口迁移算法
湖泊
富营养化
综合评价
MATLAB
projection pursuit
population migration algorithm
lake
eutrophication
comprehensive evaluation
MATLAB
