Enhancing the Accuracy of Water-Level Forecasting with a New Parameter-Inversion Model for Estimating Bed Roughness in Hydrodynamic Models

Enhancing the Accuracy of Water-Level Forecasting with a New Parameter-Inversion Model for Estimating Bed Roughness in Hydrodynamic Models

The accurate and efficient estimation of bed roughness using limited historical observational data is well-established. This paper presents a new parameter-inversion model for estimating bed roughness in hydrodynamic models that constrains the roughness distribution between river sections. The impac...

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Bibliographic Details
Main Authors: Yifan Chen, Feifeng Cao, Weiping Cheng, Bin Liu
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
river roughness
parameter inversion
hydrodynamic model
smoothing matrix
flood forecasting
Online Access:https://www.mdpi.com/2076-3417/13/7/4551

Internet

https://www.mdpi.com/2076-3417/13/7/4551

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