A multi-objective calibration method of distributed hydrological model parameters based on parallel computation

Abstract

The invention discloses a distributed hydrological model parameter multi-objective calibration method based on parallel calculation, in order to improve the efficiency and accuracy of parameter sensitivity analysis and multi-objective calibration of the distributed hydrological model in watershed simulation process. The method includes: 1) ANOVA and Sobol's two-step sensitivity analysis; 2) compiling sensitivity analysis and multi-objective calibration program based on parallel language MPI, and coupling that open source program of distributed hydrological model; 3) according to the sensitiveparameters obtained by the global sensitivity analysis method, and used for multi-objective calibration of model parameters, and the optimal solution being obtained. The invention has the advantages that the accuracy and the reliability of the parameter sensitivity analysis are improved by the two-step sensitivity analysis method, the heterogeneous parameter identical effect or the uncertainty ofthe parameter can be effectively reduced by the multi-objective rating, and the simulation precision requirement of the multi-item model output is ensured; the simulation precision requirement of themulti-item model output is improved by the multi-objective rating. The application of parallel computing greatly improves the efficiency of sensitivity analysis and parameter calibration of distributed hydrological model, and the time consuming is about 1/40-1/30 of that of non-parallel.

Description

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AI Technical Summary

Benefits of technology

Two step Global Sensitive Analysis (GSA) methods are used for analyzing hydraulic models that require large amounts of computational resources or time during simulations due to their high complexity. However these techniques have limitations such as requiring specific assumptions about how each component interacts within the system's structure before testing it accurately. Additionally, GSA requires complex calculations involving many variables at once, making them difficult to use practically outside certain technical fields where they were developed earlier.

Problems solved by technology

This patented technical problem addressed in this patents relates to improves understanding of hydraulic systems during severe weather events (such as drilling) due to their complexity and dynamic nature. Current methods involve simplifying assumptions about how well these structures behave under various conditions over an extended period of time, but they may have limitations when applied across diverse scenarios involving varying environmental factors like temperatures and precipitation levels that affect critical situations. Therefore, improved simulations techniques aim at better accountability towards specific outcomes while reducing uncertainty associated with future extremes of risk.

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