Reservoir water and sediment prediction model training method and device, and reservoir water and sediment prediction method and device

Abstract

The invention provides a reservoir water and sediment prediction model training method and device, and a reservoir water and sediment prediction method and device. The method comprises the following steps: obtaining reservoir water inflow data; inputting the reservoir water inflow data into a pre-established mathematical model to obtain water and sediment data of a target area, wherein the mathematical model is established by using historical actual measurement data, the historical actual measurement data comprises water flow inflow data and on-way water and sediment data, the water flow inflow data is obtained through upstream water flow inflow observation stations, and the on-way water and sediment data are obtained through downstream observation stations; taking the reservoir water inflow data and the water and sediment data of the target area as training data, and training an initial neural network model through the training data to obtain a water and sediment prediction model of the target area. By implementing the method, water and sediment data of any target area can be quickly and timely predicted, and an important reference can be provided for real-time and fine scheduling of a reservoir.

Description

technical field [0001] The invention relates to the technical field of reservoir sediment regulation, in particular to a reservoir water and sediment prediction model training, a reservoir water and sediment prediction method and a device. Background technique [0002] Reservoirs are key water conservancy projects to realize the scientific allocation and sustainable utilization of water resources. The scheduling method and service life of reservoirs will profoundly affect the safety of people's lives and property and economic and social development. However, as we all know, under the strong influence of artificial factors such as reservoir regulation, the movement characteristics of water flow, sediment and other substances in natural rivers have undergone drastic and complex changes. And with the rapid development of industry and agriculture along the coast of the reservoir area and the rapid growth of population size, real-time and fine-tuning of the reservoir is becoming ...

AI Technical Summary

Problems solved by technology

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defects in the prior art that cannot predict the water flow and sediment data in the area along the route without observation stations, so as to provide a reservoir water and sediment prediction model training, reservoir water Sand prediction method and device

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