Study on eutrophication of Guishui Lake based on Grey Markov forecasting model

摘要：

Prediction of lake eutrophication is important to remediation of lakes pollution. Based on the analysis of the water quality data of Guishui lake from June to October 2007, the method of Analytic Hierarchy Process and Principal Component Analysis (AHP-PCA) is used to assess the eutrophication of Guishui lake and foresee trophic state of different areas with Grey Markov Model. The results show that the prediction precision was improved 1.3375％ compared with Grey-forecasting model GM(1,1).The conclusion shows Grey Markov forecasting model is more suitable for lake eutrophication trend prediction.

关键词： Guishui Lake trophic state index comprehensive evaluation grey Markov model

作者: Yingying Xia Liying Zhao

作者单位: School of Mathematics and Physics, University of Science and Technology Beijing,Beijing 100083,China

会议类型: 国际会议

会议名称: The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)

会议地点: 南京

会议语种:英文

页码: 1522-1526

在线出版日期: 2011-06-01（万方平台首次上网日期，不代表论文的发表时间）