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


Affiliations
1 Renewable Energy Institute, North China Electric Power University, Beijing, China
 

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.

Keywords

Yongding River, Water Environment, Grey System GM(1,1) Model, Information Entropy.
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  • Correlation Analysis and Forecasting Changes in Yongding River Water Quality Based on Information Entropy and Gray System Theory

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Authors

Baohui Men
Renewable Energy Institute, North China Electric Power University, Beijing, China
Rishang Long
Renewable Energy Institute, North China Electric Power University, Beijing, China
Yawei Zhao
Renewable Energy Institute, North China Electric Power University, Beijing, China
Anze Wang
Renewable Energy Institute, North China Electric Power University, Beijing, China
Sha Hu
Renewable Energy Institute, North China Electric Power University, Beijing, China
Shuaijin Wu
Renewable Energy Institute, North China Electric Power University, Beijing, China

Abstract


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.

Keywords


Yongding River, Water Environment, Grey System GM(1,1) Model, Information Entropy.