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Effective shallow water models for complex flood flow patterns in urban areas

Abstract : Flooding represents the first natural hazard on each continent, with special concerns are focused on urban flooding for the unprecedented urbanization, which increases the vulnerability of human societies to floods. For the accessing difficulties of real-time data, numerical method seems to be a powerful approach for flood forecasting and damage mitigation. In this thesis, a new software Flood1D2D for urban flood modeling has been proposed using 1D2D coupling mesh, with 1D on the street and 2D applied on the crossroad. The software is designed based on the rig located in ICube Strasbourg and validated using synthetic test cases. The novelty of the model is to account for the recirculation effect using porosity function, and it can reproduce the convexity in water depth profiles along the street downstream each crossroad where a recirculation zone appears, which can't be accounted using roughness only. Variance based sensitivity analysis is also performed for classical 1D and 2D shallow water models for model calibration and data collections.
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https://tel.archives-ouvertes.fr/tel-01862813
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Submitted on : Monday, August 27, 2018 - 6:19:06 PM
Last modification on : Friday, May 17, 2019 - 1:59:32 PM

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CHEN_Shangzhi_2018_ED269.pdf
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  • HAL Id : tel-01862813, version 1

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Shangzhi Chen. Effective shallow water models for complex flood flow patterns in urban areas. Fluids mechanics [physics.class-ph]. Université de Strasbourg, 2018. English. ⟨NNT : 2018STRAD012⟩. ⟨tel-01862813⟩

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