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

Baohui Men; Rishang Long; Yawei Zhao; Anze Wang; Sha Hu; Shuaijin Wu

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

2015

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

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