River channel water and sediment real-time prediction method based on data assimilation

A technology of data assimilation and real-time prediction, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of disharmony in the calculation area, instability of equation calculation, etc., achieve complete functions, improve forecast accuracy, and pertinence strong effect

Active Publication Date: 2014-06-25
TSINGHUA UNIV
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Problems solved by technology

However, directly substituting real-time observations into the mathematical model of water and sedime...

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  • River channel water and sediment real-time prediction method based on data assimilation
  • River channel water and sediment real-time prediction method based on data assimilation
  • River channel water and sediment real-time prediction method based on data assimilation

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Embodiment Construction

[0027] The real-time prediction method of river channel water and sediment based on data assimilation proposed by the present invention comprises the following steps:

[0028] (1) Collect information on the section of the river to be predicted, which includes: the bottom elevation E and width B of the river to be predicted, the flow Q of the upstream boundary of the section to be measured up and sand concentration S up , the water level Z of the downstream boundary of the river channel to be measured down , the initial flow field Q of each section 初始 , initial water level field Z 初始 and the initial sand concentration field S 初始 , arrange the above information according to the order of sampling time, and obtain an information table of the river channel to be predicted; figure 1 Shown is a schematic diagram of the section of the river to be predicted, where 1 is the upstream boundary of the section to be measured, 2 is the predicted section in the section to be measured, and...

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Abstract

The invention relates to a river channel water and sediment real-time prediction method based on data assimilation, and belongs to the technical field of water conservancy projects. The method includes the steps of firstly, collecting topographic data of a water channel to be predicated, upstream boundary condition data, downstream boundary condition data and fracture surface data of the river channel, setting up a one-dimensional non-steady-flow and non-balance sediment transport model, and solving the model; secondly, conducting water and sediment model assimilation on real-time observation data while receiving the real-time observation data, and enabling the assimilation value to serve as an initial field for calculation; thirdly, calculating the changes of the future water level, the further flow and the future sediment concentration according to information of the initial field and the boundary condition data. According to the method, the water level and flow speed prediction function, the flood forecast function and other functions are achieved on the basis of data such as the assimilation real-time water level, the flow speed and the sediment concentration, and the method has the advantages of being strong in pertinency, comprehensive in function, convenient to use, practical and the like, can be applied to river channel flood real-time forecasting of great rivers, and provides the decision-making support for the practical flood prevention command work.

Description

technical field [0001] The invention relates to a real-time prediction method for river water and sediment based on data assimilation, which belongs to the technical field of water conservancy engineering. Background technique [0002] Among the more than ten kinds of natural disasters that are common in our country, floods occur frequently, have a wide range of influence, and cause great losses, all of which are in the forefront. Floods pose a serious threat to people's lives and property and national economic construction, affecting social and economic stability and development. Therefore, if the important flood parameters such as river water level, flow, and sediment concentration can be correctly predicted, the reservoir dispatching strategy and the evacuation plan of residents can be effectively adjusted, and the losses caused by floods can be minimized to the greatest extent. [0003] Traditional forecasting systems mainly use historical data regression methods, such ...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 方红卫张岳峰何国建徐兴亚
Owner TSINGHUA UNIV
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