A Water Quality Evaluation Method of Projection Pursuit Regression Based on Ant Colony Algorithm in Nanning urban river
Pollution problem is getting worse in Chinas urban rivers at present. This paper, after analyzing the factors affecting urban river water quality and choosing such six principal evaluation factors as BOD5, CODcr, petroleum ，volatile phenol , NH3-N and total phosphorus, establishes a Projection Pursuit analysis model for evaluating water quality in urban rivers, optimizes the evaluation model with the help of Ant Colony Algorithm, and applies the model in the evaluation and ordering of the water quality in ten urban rivers in Nanning. The research shows that Projection Pursuit Regression Analysis in water quality evaluation helps avoid the errors caused by the subjective reasons as manifested in traditional evaluation methods, and, as the evaluation results are accurate and the method is simple, it can serve as a new way to evaluate the water quality in Chinas urban rivers.
FANG Chong WEI Liang Huang Weijun XIAO Feipeng
Department of Hydraulic Engineering Guangxi Technology College of Water Conservancy Electric Power N College of Civil and Aitectural Engineering Guangxi University Nanning 530004,China Department of Hydraulic Engineering Guangxi Technology College of Water Conservancy and Electric Pow
国际会议
成都
英文
1-6
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）