Research on Aggregative Indez Number Method in Water Quality Assessment Based on SVM

摘要：

On the basis of analysis of water quality assessment methods, an aggregative index number model in water quality evaluation is put forward in this paper. There are totally six indexes selected as evaluation parameters in this model, including DO, potassium permanganate, BODS, NH3-N, total quantity of phosphorus and total quantity of nitrogen. Besides, this model fully considers their differences existed in different categories of water quality and pollutant contents of the same category water quality. And this established model overcomes its drawbacks of inadequate for the single factor model in water quality assessment. Further, combined with its advantages of Support vector machine (SVM) in solving small sample with, nonlinear and high dimension problems, an aggregative index number method in water quality assessment based on SVM is established. The test results show that the method proposed in this paper has a very high correct ratio of evaluation, and has a good engineering application prospect.

关键词： water quality assessment SVM aggregative indez number weighted indez.

作者: Jian Cao Hongsheng Hu Suxiang Qian Kewen Xu

作者单位: College of Mechanical & Electrical Engineering,Jiaxing University,Jiaxing,Zhejiang,China Hydrological Stations of Jiaxing,Jiaxing,Zhejiang,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4015-4019

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）