BP neutral network-based method for predicting dissolved oxygen saturation in water body

Abstract

The invention relates to a method for predicting dissolved oxygen saturation in a downstream water body of a high dam, in particular to a BP (back propagation) neutral network-based method for predicting the dissolved oxygen saturation in a water body. The method is characterized in that a three-layer BP neural network model is built to predict the dissolved oxygen saturation in a downstream designated area of the high dam. The method comprises the main steps as follows: (1) determining the main influencing factors of downstream dissolved oxygen of the high dam, and taking the main influencing factors as input variables of the BP model; (2) sample data acquisition: using monitoring data of the downstream designated area of the high dam as a learning sample; (3) BP neural network training: inputting the sample data obtained in step (2) in the three-layer BP network for training, comparing the output value of the network with the actual monitoring value until the mean square deviation of the network training meets the requirement, and determining the weight and the threshold value of the network; and (4) using the BP neural network, which passes the test, to predict the dissolved oxygen saturation of the downstream designated area. The method provided by the invention applies the neural network technology to prediction of dissolved oxygen saturation of the water body of the downstream designated area of the high dam, and solves the problem of quickly predicting the dissolved oxygen of the downstream designated area of the high dam.

Description

technical field [0001] The invention relates to a method for predicting the dissolved oxygen saturation of water downstream of a high dam, in particular to a method for predicting the dissolved oxygen saturation of water in a fixed-point area near the dam downstream of a high dam discharge based on a BP neural network model. Background technique [0002] When the concentration of dissolved gas in the upper reaches of the reservoir is close to saturation, the reservoir discharges water through the dam, and the huge flood entrains a large amount of gas in the air and pours directly to the downstream riverbed, causing the concentration of dissolved gas in the downstream channel, especially the area near the dam, to be supersaturated. Cause fish and other aquatic animals to die due to air bubble disease, such as the discharge of cascade hydropower stations on the Columbia River in the United States, the discharge of Xin'anjiang Reservoir in Zhejiang Province, and the downstream s...

AI Technical Summary

Problems solved by technology

However, due to insufficient understanding of bubble dynamics, there are still many assumptions and coefficients that need to be verified by experiments in the solution of bubble number, bubble size, gas content and bubble velocity. Therefore, the dynamic model still needs to be modeled according to the actual measured parameters of specific projects. Calibration of parameters, complex calculation procedures, long calculation time and low calculation efficiency

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