Multi-station linkage rating curve fitting method

Abstract

The invention discloses a multi-station linkage rating curve fitting method, and the method comprises the steps: selecting a test station; determining a flood forecast period l of the test station; constructing a rating curve (shown in the description) of the test station, wherein t is a sampling moment, N is the number of actual measurement stations of the upstream side of the test station, i isthe serial number of the actual measurement stations of the upstream side of the test station, Z<t+l>, Q<t+l> and a<t+l> are respectively are a water level predicted value, a flow predicted value anda flow coefficient of the test station in the forecast period, a<i, t>, Q<i, t>, Ab<i, t> and Z<i, t> are respectively a flow coefficient, a flow value, a water level coefficient and a water level value of the i-th actual measurement station at a moment t, c is an offset of the flow of the test station relative to the water level in the forecast period, Epsilon is a remainder term and approaches to an infinitesimal value, and l is nit greater than the time lag of a flood wave from the upstream side to a downstream side. According to the invention, the real-time stage-discharge relation of thetest station is represented as a function of the water level of the upstream station and the flow at a historical moment, and the method can obtain the more precise result in the real-time flood forecast applications in different forecast periods, and provides a real-time flood forecast level and the forecast precision.

Description

technical field [0001] The invention belongs to the field of water level and flow relationship forecasting of hydrological stations, and in particular relates to a multi-station linkage water level and flow relationship curve fitting method. Background technique [0002] The relationship between water level and flow is an important content in the analysis of flood components and real-time flood forecasting. There are many factors that affect the relationship between water level and flow. It is not only affected by geometric factors such as river scouring and silting, blocking, but also by flood fluctuation trends and tributary water exchange. The influence of hydraulic factors, in the study of the relationship between water level and flow in plain rivers, factors such as backwater jacking and flood storage areas have a significant impact on the relationship between water level and flow. Due to the significant uncertainty of various factors, the relationship between water lev...

AI Technical Summary

Problems solved by technology

However, in the river section where the fluctuation of the flood is obviously affected, it is difficult to determine the line of the noose curve, and it is generally necessary to go through trial and error

[0006] Whether it is the traditional single-value method or the rope loop method, they can only set the line in advance on the existing historical data. In the application of real-time flood forecasting, the parameters and equation structures in the above two methods are fixed, and the latest measured data cannot be integrated. Updates applied to level-flow relationships

Therefore, the above two methods only consider the conversion relationship between the water level and flow of the test site in the fixed forecast period, only consider the historical data of the current test site, and do not consider other factors affecting the current test site. In the application of real-time flood forecasting, both will affect the accuracy of flood forecasting

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