Adaptive calibration method for parameters of sandy river water and sediment model based on cluster intelligence

Abstract

The invention discloses a method for self-adaptive calibration of water and sediment model parameters of sandy rivers based on cluster intelligence. Step 1: Set the minimum value of the sum of the relative errors of the simulated value and the measured value of the river water level and sediment concentration as the target function, setting the corresponding solution of the objective function; step 2, generating the initial population, step 3, constructing a numerical model of sandy river channel water-sediment coupling, and calculating the value of the objective function; step 4, using the Lévy flight principle to update the position of the bird’s nest; step 5, Update the current optimal function value and record it; step 6, randomly update the position of the bird’s nest; step 7, judge whether to end the iteration, and output the optimal position of the bird’s nest; step 8, obtain the optimal water and sand parameter value according to the optimal position of the bird’s nest, And combined with the sandy river water-sediment coupling model to carry out intelligent forecasting of sandy river water-sediment. The invention not only effectively solves the problem of complicated calibration of water and sediment parameters, improves model calibration and use efficiency, but also improves the accuracy of flood forecasting in sandy river courses.

Description

technical field [0001] The invention relates to a cluster intelligent algorithm and computer simulation technology in the field of emergency disaster prevention, in particular to a method for self-adaptive calibration of water and sand model parameters. Background technique [0002] The water-sediment forecasting model is a basic technical means for simulating and predicting the flow and sediment process, and it is also one of the important non-engineering measures to reduce water-sediment disasters. The river water and sediment forecasting model is widely used in flood control planning, flood control and disaster reduction, water conservancy project construction and other fields, and has certain practical significance for protecting people's life and property and reducing flood disaster losses. [0003] At present, when building a river channel water and sediment forecast model, some parameters in the model, such as roughness, suspended sediment settling rate, suspended sed...

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Problems solved by technology

[0005] Aiming at the problems of complicated calibrating process of water and sediment parameters in existing river channel water and sediment forecasting models, long model debugging time and low forecasting accuracy, the present invention proposes a new method of self-adaptive calibration of water and sediment model parameters. The bird intelligent optimization algorithm is combined with the river water-sediment coupling model to realize the adaptive intelligent rate determination of water-sediment parameters

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