Tidal river-reach bidirectional wave recession process forecasting method, apparatus and system thereof

Abstract

The invention discloses a tidal river-reach bidirectional wave recession process forecasting method, an apparatus and a system thereof. The method comprises the following steps of S1, acquiring real-time water level data of a present flood, according to the real-time water level data, determining a magnitude of the present flood, and according to the magnitude, acquiring historical water level data of a corresponding magnitude in the historical water level data; S2, according to a historical water level data, real-time water level data and tidal river-reach water level coupling formula, acquiring a flood wave water level value Zct and a tidal wave gravity coefficient k; and according to the historical water level data and the real-time water level data, acquiring a tidal wave water level value Ht; and S3, according to the tidal wave water level value Ht, the flood wave water level value Zct, the tidal wave gravity coefficient k and a largest interval rainfall capacity PM, acquiring a tidal river reach water level Zt. The method, the apparatus and the system have an advantage that a tidal river-reach flood recession process is assumed to be bidirectional motion superposition of a flood wave and a tide wave so that a tidal river reach water level is predicted through predicting a flood wave water level value and a tidal wave water level value.

Description

technical field [0001] The invention relates to hydrological forecasting technology, in particular to a method, device and system for forecasting two-way wave receding water processes in tidal river sections. Background technique [0002] Based on the water balance and basin runoff mechanism, the commonly used regression models are mainly mathematical simulation models of various forms, including Harris model, Logistic model, rational function model, exponential model and quadratic model, etc., in the form of: and However, the above-mentioned model is mainly used in the research on the regression curve fitting of the normal river flood period or dry season, that is, the inflow of the river has only one direction, from upstream to downstream; As the two-way motion superposition of the two independent processes of upstream flood wave receding and downstream tidal wave topping, the flood wave receding process can still be simulated by the above method, but for downstream tid...

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Problems solved by technology

[0002] Based on the water balance and basin runoff mechanism, the commonly used regression models are mainly mathematical simulation models of various forms, including Harris model, Logistic model, rational function model, exponential model and quadratic model, etc., in the form of: and However, the above-mentioned model is mainly used in the research on the regression curve fitting of the normal river flood period or dry season, that is, the inflow of the river has only one direction, from upstream to downstream; As the superposition of the two-way motion of the two independent processes of upstream flood wave receding and downstream tidal wave topping, the flood wave receding process can still be simulated by the above method, but for downstream tidal wave simulation, the above method is obviously no longer applicable

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