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抚河水环境质量的投影寻踪回归分析
引用本文:刘卫林,刘丽娜.抚河水环境质量的投影寻踪回归分析[J].中国农村水利水电,2011(5).
作者姓名:刘卫林  刘丽娜
作者单位:1. 南昌工程学院水利工程研究中心,南昌,330099;南昌工程学院水利与生态工程学院,南昌,330099
2. 南昌工程学院水利与生态工程学院,南昌,330099
基金项目:水利部公益性行业专项经费项目(201001056); 南昌工程学院青年基金项目(2010KJ001)
摘    要:利用大样本数据、投影寻踪、粒子群算法、逻辑斯蒂曲线,建立了水环境质量评价的粒子群投影寻踪等级评价模型.以抚河为例,选取抚河11个监测断面的7项监测指标作为评价因子,对抚河的水环境质量进行综合评价.应用结果表明,粒子群投影寻踪等级评价模型计算简便,评价结果可靠,评定结果可以直观地反映出各断面水环境状况,同时也可以反映出各监测点水污染严重程度,可比性强,在水环境质量评价中具有较好的应用价值.

关 键 词:投影寻踪  粒子群算法  逻辑斯蒂曲线  水环境  抚河

Regression Analysis of the Projection Pursuit of the Fuhe River's Water Environment
LIU Wei-lin , LIU Li-na.Regression Analysis of the Projection Pursuit of the Fuhe River's Water Environment[J].China Rural Water and Hydropower,2011(5).
Authors:LIU Wei-lin  LIU Li-na
Affiliation:LIU Wei-lin1,2,LIU Li-na2(1.Water Conservancy Engineering Research Center,Nanchang Engineering College,Nanchang 330099,China,2.Faculty of Water Conservancy and Ecology Engineering,China)
Abstract:Big sampling data projection pursuit,partical swarm optimization and logistic curve are used to establish evaluation models for water environment.Using the Fuhe River as an example,the Fuhe River's water quality is evaluated by choosing seven monitoring indexes as evaluation factors.Application results show that evaluation results are reliable.They can reflect the water environment of every cross-section and the seriousness of water pollution in every monitoring station.
Keywords:projection pursuit  partical swarm optimization  logistic curve: water environment  the Fuhe River  
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