Watershed hydrological model error correction method and device based on evaporation error compensation

Abstract

The invention discloses a watershed hydrological model error correction method and device based on distributed evaporation error compensation. The method comprises the following steps: establishing a subunit evaporation error compensation vector model according to a watershed outlet section simulation flow process and a watershed subunit evaporation process; establishing a surface evaporation error compensation vector and an error compensation matrix model according to the subunit evaporation error compensation vector model; establishing a surface evaporation error estimation model and determining an evaporation error correction mode of the subunits; and calculating evaporation errors of the subunits to obtain a corrected evaporation process of the subunits, inputting the corrected evaporation process into a flow function of the drainage basin outlet section, namely a drainage basin hydrological model, and obtaining a corrected flow process of the drainage basin outlet section. The hydrological model feedback information is fully utilized, the method is decoupled from the hydrological model during error inversion, the method is theoretically suitable for any distributed hydrological model, and the method provides a new technical means for solving the watershed hydrological model daily scale evaporation input item error correction problem.

Description

technical field [0001] The invention relates to a watershed hydrological model correction method, in particular to a watershed hydrological model error correction method based on distributed evaporation error compensation, and belongs to the technical field of hydrological model error correction. Background technique [0002] Accurate and reliable flood forecasting results are of great significance for flood control dispatching, emergency relief and rescue, and comprehensive utilization of water resources. However, due to the many reasons for flood forecast errors and the complex impact mechanism, the deviation of the hydrological model structure, input, parameters, and intermediate variables of the watershed can lead to flood forecast errors. Therefore, the correction effect and generalization ability of the existing hydrological model error correction methods It is often unsatisfactory, which hinders the benefits of flood forecasting in flood control and disaster reduction...

AI Technical Summary

Problems solved by technology

[0003] At present, the existing hydrological model error correction methods mainly have the following deficiencies: (1) The forecast period is lost and the accuracy is not good due to the unclear physical concept and the assumption conditions are not easy to meet; (2) The available rain and flood information is less, It is difficult to give full play to the characteristics and advantages of the method itself

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