Technical Papers
Apr 8, 2020

Test and Improvement of 1D Routing Algorithms for Dam-Break Floods

Publication: Journal of Hydraulic Engineering
Volume 146, Issue 6

Abstract

Classical models for one-dimensional (1D) flood routing calculations were tested in a synthetic benchmark and in a real dam break case, the observed flashy hydrographs on the Doce River after the collapse of the Fundão Tailings Dam in Brazil. The application of existing methods presented unsatisfactory results, with an error in prediction of the peak discharge up to 18%, and differences in timing to peak up to 4 h. An improved 1D flood routing approach is proposed, solving the dynamic equation into an equivalent linear diffusive wave format. This modified method reformulates the hydraulic diffusion coefficient in terms of the Froude number and flood wave celerity, which are parameters more coherent with the linear model assumption and provide more realistic flood wave attenuation. The solution given by this approach can be carried out using the Crank Nicolson or QUICKEST schemes. The relative percent difference (RPD) in predicted peak discharge is reduced to less than 0.1%.

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Data Availability Statement

The data (discharge measurements) and codes generated in MATLAB during the study are available from the corresponding author by request.

Acknowledgments

The authors would like to acknowledge that this work was developed with the support of CNPq (Brazilian National Council for Scientific and Technological Development).

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 146Issue 6June 2020

History

Received: Nov 14, 2018
Accepted: Dec 3, 2019
Published online: Apr 8, 2020
Published in print: Jun 1, 2020
Discussion open until: Sep 8, 2020

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Authors

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Postdoctoral, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523 (corresponding author). ORCID: https://orcid.org/0000-0002-6132-7125. Email: [email protected]; [email protected]
Pierre Y. Julien, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523. Email: [email protected]

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