Forecasting method of water level of potamic tidewater

Abstract

The invention relates to a forecasting method of the water level of potamic tidewater. A traditional forecasting method of tidal hour comprises a time propagation method and a time isolation retardation method which weaken the influence of multiple factors, such as tides, radial flows, riverway terrain, wind power, wind directions, and the like on the tidewater to a certain extent. The forecasting method of the water level of the potamic tidewater comprises the following concrete steps: firstly, constructing a neural network model based on a neural network function in a kit function library of MATLAB 6.5 and the history data of tidewater water levels and time; then, utilizing a neural network training function in the kit function library to train a network; utilizing a simulation function to test the network; and finally, using the trained and tested neural network model to forecast a water level value of the next high tide level or the next low tide level. The invention uses the history tidewater data to forecast the water level value of short-term tidewater and can fully neglect the influence of uncertain factors, such as wind directions, rainfall, water supply and drainage, river-bed variation, and the like.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to a method for predicting the tidal water level of rivers. Background technique [0002] The tides of some rivers and rivers are turbulent, the sound of the water is roaring and majestic, and the tide is steep, attracting hundreds of thousands of tourists to stop on both sides of the river to watch the tide every year. On the other hand, the water potential of these river tides and the turbulence of the underwater undercurrent also pose a great threat to the lives and property of the people and tourists living on both sides of the river. According to statistics, people die here every year because they don't understand the water potential of the river tide. It can be seen that it is very meaningful to analyze and predict the change law of the tidal water level and the coming time of the spring tide of the river to protect the safety of life and property of tourists and people on bo...

AI Technical Summary

Problems solved by technology

The above-mentioned empirical method has weakened the influence of tides, runoff, river topography, wind direction and other factors to a certain extent, and weakened the high-dimensional nonlinear mapping relationship between them.