Basin water level prediction system and method for complex terrain

By constructing a buffer confluence unit model and feature selection algorithm, combined with water volume growth model and fluid dynamics simulation, the problem of predicting flood peak passage and backflow risk in complex terrain was solved, achieving accurate flood discharge prediction and flood peak simulation, and providing scientific flood control decision support.

CN122654565APending Publication Date: 2026-08-28CHONGQING YUNJI DIGITAL TECH CO LTD
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Patent Information

Application Number
CN202611144492.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-30
Publication Date
2026-08-28

AI Technical Summary

Technical Problem

In the mountainous basin where the two rivers meet in complex terrain, existing technologies struggle to accurately capture the nonlinear characteristics of the water level lag effect, resulting in low accuracy in flood discharge prediction, inaccurate flood peak simulation, difficulty in distinguishing the differences in flood discharge between the buffer period and the saturation period, leading to deviations in peak value and peak time predictions, inability to adapt to the abrupt changes in terraced fields, and neglect of the differential influence of topographic parameters in the confluence area, making it difficult for the simulation of flood peak superposition effects to reflect the true situation.

Method used

By acquiring hydrological and topographic image data within the basin, a data model related to buffer confluence units is constructed. Combining water volume growth models and feature selection algorithms, upstream water level lag characteristics at multiple lag levels are constructed. By integrating topographic parameters of flood discharge channels and confluence areas, a water level prediction model is established to simulate the passage of flood peaks and predict the risk of backflow.

Benefits of technology

It has achieved accurate simulation of flood peak passage and reliable prediction of backflow risk in complex terrain, improved the accuracy of flood discharge prediction, accurately judged the status of buffer confluence units, reduced model training errors, and provided scientific flood control decision support.

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Abstract

The application relates to the technical field of water level prediction, and particularly discloses a basin water level prediction system and method for complex terrains, wherein the method is characterized in that: a feature screening algorithm is used to screen a preliminary model feature set, and effective features which have a significant influence on the transit of a flood peak and the risk of backflow are reserved; the effective features are scientifically divided into a training set and a test set; the training set is used to enable the model to fully learn the mapping relationship between the buffer state of a buffer confluence unit, the flood discharge, the movement of the flood peak and the change of the confluence water level under complex terrains; and the fusion of hydrological data and topographic image data covers key influence factors in the time and space dimensions on the data level; the water flow lagging effect is captured through an upstream water level lagging feature set on the feature level; the discharge position is accurately positioned in combination with the discharge channel and the buffer state of the buffer confluence unit; and the transit path of the flood peak and the peak water level are simulated, so that the accurate simulation of the transit of the flood peak in the complex terrain and the reliable prediction of the backflow risk can be realized.
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