投影寻踪模型在水污染控制规划中的应用

在水污染控制规划中,方案优选对于正确评价备选方案,使规划方案兼顾经济效益和环境效益的最佳平衡点具有重要意义。但方案优选涉及众多评价指标,且各指标量纲不尽相同及其权重较难确定等问题,目前常用的方法难以客观反映各指标数据所携带的数字信息;该文应用投影寻踪(PP)模型,建立水污染控制方案优选模型,并采用实码加速遗传算法来简化PP模型建模过程。为客观反映各指标的权重,构造新的投影指标函数,达到局部凝聚、整体分散的效果;实例计算表明,PP模型既可客观反映各指标的权重,又能正确评价各方案,具有有效性和通用性,可以适用于水污染控制规划管理中。

Research on application of the projection pursuit model to water pollution control planning

In water pollution control planning,scheme optimization involves various evaluation indexes and different dimensions,and it is difficult to determine the weight of the evaluation indexes,so the digital information of indexes data can not be reflected objectively by using the common methods of water quality planning. In the paper,the projection pursuit (PP) model is applied to selecting the best scheme,and a real coding based genetic algorithm is used to simplify the modeling process. In order to reflect the weight of indexes and realize the local concentrating and global expanding, a new function of projection indexes is presented. The calculation example shows that the PP model, which can reflect the weight of indexes objectively and evaluate the schemes correctly,is very effective and can be applied generally to water pollution control planning.