Research on dynamic calibration technology of watershed hydrological model based on SPOTPY package

Abstract

The construction of digital twin watersheds is the most distinctive feature of smart water conservancy. The model platform provides algorithmic support for the construction of digital twin watersheds, and the efficient model instantiation is a critical technical bottleneck that urgently needs to be addressed in the practical application. Focusing on the demand for dynamic online calibration during model instantiation, it introduce the SPOTPY toolkit and select the widely used Xin'anjiang model in China as the case study. In accordance with the generalized model construction specifications set by the Ministry of Water Resources and the Huai River Commission, the example module provided by the toolkit was modified based on the SCEUA optimization algorithm. Model parameters, optimization method parameters, objective functions, rainfall datum, etc., were transformed into method input variables. Additionally, technologies were utilized such as FastAPI and Docker for microservice construction and containerization to build a dynamic calibration microservice instance for watershed hydrological models. The practical application of this technology in the construction of the digital twin Huai River model platform demonstrates that this method is efficient, mature, and reliable, providing important technical references for the implementation of online dynamic calibration of model instantiation.

Keywords

SPOTPY / dynamic parameter calibration / digital twin watershed / model platform / Xin'anjiang model