Context-driven free formation strategy method for hydrological model

Abstract

The invention discloses a context-driven free formation strategy method for a hydrological model. The method comprises the following steps that: 1) forming the layer data, the topical structure and the precipitation evaporation data of a target drainage basin; 2) determining the runoff producing model, the slope confluence model and the channel confluence model of the target drainage basin; 3) making a flood excerpt; 4) carrying out parameter calibration; 5) carrying out verification; and 6) carrying out runoff calculation, slope confluence calculation and channel confluence calculation in sequence until a target section is calculated to obtain a target drainage basin process. By use of the method, the problem of oneness of runoff producing and confluence models in a traditional model modeling way is solved, geographic space data processing software, model software and a model parameter calibration tool required for building the hydrological model are integrated, the runoff producing and confluence models are freely matched and combined for each calculation unit, user can carry out selection on the basis of the practical requirements of simulation, and modeling efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of water conservancy information, in particular to a scenario-driven hydrological model free building strategy and method. Background technique [0002] Watershed hydrological model is the product of the combination of hydrology and computer science, and it is a vigorous research field in hydrology created by the information revolution. For more than half a century, a large number of hydrological models describing the water cycle process of the basin have emerged. At present, there are at least 70 hydrological models of the basin with certain use value in the world, and they have been more and more widely used. They are used in hydrological forecasting and Analytical simulations are also playing an increasingly important role. In flood control and disaster reduction, the watershed hydrological model is the core of real-time flood forecasting and a key technology to improve the accuracy of flood forecasting ...

AI Technical Summary

Problems solved by technology

[0005] 1) When selecting a flow generation and confluence model, because the existing hydrological models often exist in a single way, they cannot meet the hydrological calculation requirements under different climates and underlying surface conditions at the same time;

[0006] 2) In the process of model building, since the process involves data transfer and processing between multiple software (such as ArcGIS, Excel, etc.) Restricted by external tool factors, the versatility of the model and the correctness of the data cannot be effectively guaranteed;

[0007] 3) In the process of model building, the flow generation and confluence models on each calculation unit of the same watershed can only be set uniformly, and it is difficult for users to freely match and combine the flow generation and confluence models of each calculation unit according to the actual needs of the simulation;

[0008] 4) There are many intermediate steps in the model building process, and the steps of different models are different. The lack of mature and perfect intelligent guidance technology solutions may easily affect the rationality and accuracy of model building

Images