基于回归支持向量机的指标规范值的水质评价模型.PDF

中国环境科学 2013,33(8) ：1502~1508 China Environmental Science 基于回归支持向量机的指标规范值的水质评价模型 李祚泳 1*,张正健 2 (1.成都信息工程学院,四川 成都 610041 ；2. 中国科学院水利部成都山地灾害与环境研究所, 四川 成都 610041) 摘要：传统的回归支持向量机的水质评价模型不具有普适性和通用性,当指标较多 ,模型的学习效率和求解精度均会受到影响.若适当设 定 3 类水体(地表水、地下水和富营养化水体)各项指标的参照值及指标值的规范变换式,使不同指标的同级标准的规范值差异不大,从而可 以认为用规范值表示的不同指标皆“等效”于某个规范指标.因此,可建立用规范值表示的任意 m 项指标组合皆适用的水质评价的回归支 持向量机模型.通过实例对模型的实用性进行了效果检验,结果表明:用基于回归支持向量机的指标规范值的水质评价模型对河桥地表水、 黑龙洞泉域地下水和山仔水库富营养化水体的水质评价结果与用 BP 神经网络评价法、模糊综合评价法和属性识别评价法的评价结果基 本一致. 关键词：指标；规范变换；水质评价；回归支持向量机；模型 中图分类号：X824 文献标识码：A 文章编号：1000-6923(2013)08-1502-07 Model of water quality evaluation with normalized indexes values based on regression support vector machines. LI 1* 2 Zuo-yong , ZHANG Zheng-jian (1.Chengdu University of Information Technology, Chengdu 610041, China ；2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China). China Environmental Science, 2013,33(8)：1502~1508 Abstract ：Generally, the traditional method to evaluate the water quality using regression support vector machine is not an universal way. The learning efficiency and the accuracy will be significantly influenced due to the increase of the number of the index. For three different water bodies (surface water, groundwater and eutrophic water body), the present study sets the proper reference values and normalized transformation forms for all the indexes of them. The differences among all the indexes will be decreased for the same quality level water after the normal transformation, and the different indexes represented with normalized values can be equivalent to a certain value. Therefore, it is possible to build the water quality evaluation model using regression support vector machines (SVR) with any combination of m(2≤m≤72) normalized indexes. The practicali