Correlation Analysis and Forecasting Changes in Yongding River Water Quality Based on Information Entropy and Gray System Theory

摘要

The Yongding River is the mother river of Beijing. However, due to the environmental pollution causedby the economic development, the water and coastal environment of this river has suffered from greatdestruction. The ecological restoration of the Yongding River is imperative. In this paper, we analysedseven basic water quality indicators in Yongding River based on Information Entropy and found thatthe main factors for affecting water quality were ammonia and CODMn. Then the basic water qualityindicators were predicted, based on Grey System GM(1,1) model and we concluded that turbidity andconductivity would grow fastest in the next 20 years. Finally, we made some reasonable ideas andmethods in Yongding River ecological restoration.