Prediction of environmental pollution hazard index of water conservancy system based on fuzzy logic

Abstract

The water conservancy framework is a significant foundation for China's financial and social turn of events. Simultaneously monetary and social turn of events, likewise tremendously affect the biological climate. In the prediction method of the environmental pollution hazard index of water conservancy projects, a risk assessment must be carried out to enhance its applicability. This article mainly focuses on traditional mathematical prediction models and combines the characteristics of fuzzy logic mathematics (good nonlinear quality) to establish a new combination prediction method. By comparing the convergence errors of traditional methods with this method, the results show that the algorithm proposed in this paper can effectively reduce prediction errors with fewer iterations, making it stable at around 500 times, with good convergence and high computational accuracy. The fuzzy logic-based prediction method for environmental pollution hazards in water conservancy systems proposed in this article can overcome the difficulty of nonlinear combination prediction. This achieves real-time prediction of environmental pollution hazards in water conservancy systems and shortens response time, greatly improving the accuracy of prediction.