Water and sand prediction method and system for strong alluvial river based on data assimilation

Abstract

The invention provide a water and sand prediction method and system for a strong alluvial river based on data assimilation. The method particularly comprises the steps of using terrain elevation scatter data obtained by sampling to generate an irregular triangular terrain grid unit; obtaining water-sand information and initial field information of strong alluvial river inlet and outlet boundaries;taking triangular elements of terrain grids as control bodies, discretizing a two-dimensional water-sand model of the strong alluvial river, selecting a solution method for calculation, and obtainingcalculated values of the control bodes; acquiring riverway water and sand state information of the strong alluvial river in real time, establishing a real-time prediction model based on the data assimilation according to the water and sand state information, and obtaining assimilation state variables and parameter variables; finally, using a two-dimensional water and sand data assimilation modelto conduct water and sand prediction on the strong alluvial river. Through the above treatment, the real-time status of water and sand of the strong alluvial river can be effectively predicted, so that water and sand regulation can be regulated, and a basis is provided for flood control and disaster alleviation, water environmental protection and water resource management.

Description

technical field [0001] The invention relates to the technical field of water conservancy engineering, in particular to a method and system for predicting water and sediment of strong alluvial rivers based on data assimilation. Background technique [0002] As the global climate changes, the underlying surface of the watershed will change accordingly, and with the construction of dams and other human activities, the natural water and sediment situation and the boundary conditions of water and sediment transport will be changed, which may lead to collapse. The occurrence of extreme events such as dams will further lead to active water-sediment movement and rapid riverbed deformation, which will bring difficulties to the scientific understanding of the mechanism of water-sediment interaction in the alluvial river process and bring more difficulties to predict changes in water-sediment movement. big challenge. [0003] The parameters of the water-sediment model are affected by ...

AI Technical Summary

Problems solved by technology

These methods ignore the dynamic characteristics and conservation laws of river flow evolution, which lead to large errors and low accuracy when using models to predict real-time water level, flow, and water quality. Therefore, such systems are only suitable for instantaneous prediction. Unable to assist decision-making and fail to achieve the purpose of real-time management of water resources

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