水质综合评价的遗传投影寻踪插值模型

为解决各单项水质评价指标评价结果的不相容问题 ,提高水质综合评价各层次的分辩力和评价模型的精度 ,本研究采用大样本数据 ,利用投影寻踪、遗传算法、插值型曲线和水质评价标准 ,为水质综合评价建立了一种新的数学模型———遗传投影寻踪插值模型 (GPPIM)。实例研究表明 ,GPPIM建模方法直观、可靠、精度高 ,既具有较强的分类功能 ,又具有较好的排序功能 ,可广泛应用于各种环境质量的综合评价。

A GENETIC PROJECTION PURSUIT INTERPOLATION MODEL FOR COMPREHENSIVE ASSESSMENT OF WATER QUALITY

In order to solve the problem of incompatible results of all the individual indexes and to raise the model precision for water quality assessment,a new model——genetic projection pursuit interpolation model (GPPIM),is presented for water quality assessment by using projection pursuit,genetic algorithm,interpolation technique and lots of sample data from the assessment standards of water quality.And its detailed step is developed.GPPIM remarkably improves calculation accuracy.The results of case studies show that GPPIM features direct modeling, credibility and effectiveness.It proves a good assessment method in both classifying and arrangement,and could be applied to various environmental quality assessment issues.