Basin hydrologic model parameter calibration method

Abstract

The invention provides a basin hydrologic model parameter calibration method. The method is characterized in that focusing on the key issue of conceptual model parameter calibration, the process is divided into the three steps of basic data preparation and processing, parameter cognition and parameter optimization, wherein during basic data preparation and processing, for a lumped hydrologic model, special attention needs to be paid to analysis of periodical floods, and the floods need to be classified according to different rainfall central positions and flood magnitudes to be selectively used for parameter optimization; parameter cognition aims to clarify the influence of a value change of each parameter on the hydrologic process, which is the most basic to model application; and duringparameter optimization, parameters are divided into runoff producing parameters and converging parameters for step-by-step optimization, and an appropriate objective function needs to be selected according to an expected goal at each optimization stage, which can ensure that an optimization result meets water balance while meeting flood process similarity, and optimization efficiency is improved.

Description

technical field [0001] The invention relates to the field of hydrological forecasting, in particular to a method for calibrating parameters of a watershed hydrological model. Background technique [0002] Hydrological models have important applications in the control of water resources in river basins and reservoir scheduling. Traditional hydrological models include Xin'anjiang model, Northern Shaanxi model, Dahuofang model, Sacramento model, etc., which are generally called conceptual watershed hydrological models. With the emergence and development of GIS and RS technology, distributed watershed hydrological models such as SWAT model and SHE model have emerged. The conceptual hydrological model has a simple structure, and the basic data required by the model is easy to obtain, so it is more widely used in engineering. The parameters of the conceptual watershed hydrological model are generalized average values ​​of the watershed, which cannot be actually measured and must...

AI Technical Summary

Problems solved by technology

At present, the research on the parameter calibration of watershed hydrological models is mostly focused on the research of intelligent parameter optimization methods. However, for the calibration of hydrological models, each step from basic data preparation to parameter optimization is very critical. A systematic approach to model parameter calibration has not been reported

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