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.