Method for determining backflow period of gate in plain tidal river network

CN122047110BActive Publication Date: 2026-07-24TAIHU BASIN ADMINISTRATION BUREAU OF HYDROLOGY (INFORMATION CENT)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TAIHU BASIN ADMINISTRATION BUREAU OF HYDROLOGY (INFORMATION CENT)
Filing Date
2026-04-20
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing sluice gate backflow early warning and water level prediction technologies have high computational complexity and long processing time in plain tidal river network areas, and it is difficult to balance computational timeliness and prediction robustness, resulting in uncertainty in the identification of extreme risks in real-time business scheduling.

Method used

By acquiring water level data from multiple stations along the downstream section of the sluice gate and upstream shallow lakes, as well as basin rainfall and wind field data, we decouple astronomical tides from rainfall runoff, extract dynamic deformation characteristic parameters, and calibrate water level forecast curves using an error condition distribution database to identify periods of backflow risk.

Benefits of technology

It improves the timeliness and robustness of early warning during periods of backflow risk, avoids complex numerical solutions, and enhances the ability to securely allocate water resources.

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Abstract

The application discloses a kind of plain tidal river network in gate backflow time period determination method.This method obtains long series observation water level of upstream and downstream of water gate, basin rainfall and wind field data;The water level of downstream section is decoupled with astronomical tide and rainfall runoff, and the dynamic deformation characteristic parameter is extracted for correction, to obtain downstream water level prediction curve set;The observed water level of upstream shallow lake is physically decomposed, and the average water level and wind-induced water level deviation are extracted, combined with rainfall to calculate upstream prediction curve set;The prediction water level difference sequence set is constructed by combining prediction curve set;Based on the error condition distribution library constructed in advance, the prediction error quantile is extracted, the lower bound of difference sequence is calibrated and the minimum value is extracted, to obtain the safety fusion water level difference sequence;Based on the fusion sequence and the determination threshold, the backflow risk period is identified.The application avoids time-consuming of complex numerical solution, and improves the timeliness and robustness of advanced warning of backflow risk period.
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