Distributed hydrology model multi-time flooding parameter calibration method based on DSS database reading and writing

Abstract

The invention provides a distributed hydrology model multi-time flooding parameter calibration method based on DSS database reading and writing, and belongs to the technical field of hydrology model parameter calibration. The distributed hydrology model multi-time flooding parameter calibration method comprises the steps of 1, building a multi-target genetic algorithm eNSGA-II frame to be used forparameter multi-target optimization and calibration of an HEC-HMS model; 2, based on a parameter optimizing frame, utilizing a JAVA language to write individuals in a parameter species into a basin file to input model parameters, after the model is run, extracting a simulation result from a DSS database to be fed back to the frame to calculate the parameter individual adaptability to generate a new parameter species, so that coupling of the model and the parameter optimizing frame is achieved, and the whole parameter automatic calibration process is completed; 3, selecting an appropriate parameter input model in a Pareto solution set according to standards like whether parameter physical meaning conforms to drainage basin properties and evaluating precision of the simulation result or not. The application limit of the model is broken through, the calibration time and manpower are greatly saved, and the model is easily applied and popularized.

Description

technical field [0001] The invention belongs to the technical field of calibrating hydrological model parameters, and relates to a method for calibrating multi-stage flood parameters of a distributed hydrological model based on reading and writing of a DSS database. Background technique [0002] There are many hydrological models used for flood forecasting at home and abroad, and various lumped, semi-distributed, and distributed hydrological models have been developed and applied in practice. The lumped hydrological model is widely used in engineering practice of flood forecasting because of its simple modeling, high calculation efficiency, and low forecast data requirements. However, the lumped hydrological model has low spatial resolution, does not fully consider the temporal and spatial variation characteristics of rainfall and the underlying surface conditions of the watershed, and requires a large amount of measured data to calibrate the model parameters, so it cannot m...

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Problems solved by technology

In general, although the application effect of HEC-HMS in the simulation of rainfall and runoff in small watersheds in my country is relatively ideal, due to the limitation of the number of floods simulated by the model, it is impossible to perform multiple flood calibrations, and it is necessary to manually input parameters for trial calculation and debugging. It is time-consuming and labor-intensive, and it is not easy to find the optimal parameters, which largely limits the application of the HEC-HMS model

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