Automatic calibration method of storm water management model parameters

Abstract

The present invention discloses an automatic calibration method of storm water management model (SWMM) parameters. The method comprises: based on an SWMM model, building a regional runoff-conflux model, performing linearization on a nonlinear relationship between a model parameter set and a flow; using a computing strategy with the Levenberg-Marquardt algorithm as the core to search for an optimal parameter combination, so as to automatically calibrating SWMM model parameters. The advantage of the method is as follows: according to the method provided by the present invention, when automatically calibrating SWMM model parameters, a target function is solved through iterative optimization, so as to automatically and efficiently calibrate specified regional runoff-conflux model parameters, thereby greatly improving the efficiency of optimizing and solving parameters, avoiding effects from subjective factors, avoiding consumption of a lot of manpower, lowering requirements on knowledge and experience of operators, and enabling obtained parameters to be more scientific. According to the method provided by the present invention, SWMM model parameters can be automatically calibrated, and moreover, the optimal parameter combination can be obtained efficiently and accurately. The method provided by the present invention is an automatic calibration method of SWMM parameters that is effective and robust.

Description

technical field [0001] The invention relates to the field of urban hydrology theory, and can be applied to the field of urban flood control applications. More specifically, it relates to an automatic calibration method for parameters of a storm flood management model (SWMM). determine the problem. Background technique [0002] Since the middle of the 20th century, hydrological models have developed rapidly, which combines climate, hydrology and other geoscience data with computing technology, and analyzes the spatial variability and time-period continuity of geoscience data to grasp the law of regional rainfall-runoff processes. Practice in recent decades has shown that many hydrological models have good results in simulating the rainfall-runoff process, which is of great significance to flood control and disaster reduction, water resource management, drainage system planning, and design. [0003] Whether the hydrological model can truly reflect the law of regional runoff p...

AI Technical Summary

Problems solved by technology

If there are many sub-catchment areas, the parameters required for calibration will reach hundreds or even thousands. It will take a lot of time and energy to calibrate the parameters only by manual trial and error, and the calibration effect cannot be achieved. Guaranteed

In addition to the manual trial and error method, most researchers use empirical values ​​for parameter calibration, and the calibration effect is not ideal, and it cannot reflect the sensitivity of parameters in different regions

The parameters involved in the SWMM model are complex nonlinear systems, which cannot be studied and calibrated by conventional methods. How to accurately and efficiently calibrate the model parameters is an important challenge for the SWMM model.

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