中文摘要：

为分析非点源污染物及其来源的因果关系，提出了基于加速遗传算法的投影寻踪对应分析方法（PP—CFA），并应用于流域非点源污染源解析研究中。应用结果表明：土地利用方式与流域营养物地表径流输入特征之间存在明显的3类对应关系；巢湖各主要入湖河流水中N和P营养盐分输入特征可以分为差异明显的3类；改进土地利用方式和有效控制营养盐分的输入，是减少和控制巢湖流域非点源污染的重要途径。由于PP—CFA根据一维投影值的散布图进行聚类分析，因而操作较现有方法简便，精度亦容易保证。

英文摘要：

In order to analyze the correlation between watershed non-point source pollutions and their sources, an improved correspondence factor analysis（named PP-CFA） was proposed based on accelerating genetic algorithm and projection pursuit method. The PP-CFA was applied to analyze the watershed nonpoint source pollutions of the Chaohu Lake. The results show that three kinds of correspondence relationship exist between land use and trophic salt loads of surface water runoff. The inputting characteristics of trophic salts of nitrogen and phosphorus of the rivers flowing into the Chaohu Lake can be classified as three kinds. Rational utilization of the land and effective control of trophic salt input are important approaches to reduce watershed non-point source pollutants. By using clustering method of scatter pl0t of one-dimension projection values, PP-CFA is more convenient to operation and with higher accuracy than other existing methods.