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Semi-two-dimensional numerical model for river morphological change prediction: theory and concepts

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  • Tew-Fik Mahdi

Abstract

This paper presents a new numerical model for river morphological predictions. This tool predicts vertical and lateral cross-section variations for alluvial rivers, which is an important task in predicting the associated hazard zone after a flood event. The Model for the HYdraulics of SEdiments in Rivers, version 1.0 (MHYSER 1.0) is a semi-two-dimensional model using the stream tubes concept to achieve lateral variations of velocity, flow stresses, and sediment transport rates. Each stream tube has the same conveyance as the other ones. In MHYSER 1.0, the uncoupled approach is used to solve the set of conservation equations. After the backwater calculation, the river is divided into a finite number of stream tubes of equal conveyances. The sediment routing and bed adjustments calculations are accomplished separately along each stream tube taking into account lateral mass exchanges. The determination of depth and width adjustments is based on the minimum stream power theory. Moreover, MHYSER 1.0 offers two options to treat riverbank stability. The first one is based on the angle of repose. The bank slope should not be allowed to increase beyond a certain critical value supplied to MHYSER 1.0. The second one is based on the modified Bishop’s method to determine a safety factor evaluating the potential risk of a landslide along the river bank. Copyright Springer Science+Business Media B.V. 2009

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  • Tew-Fik Mahdi, 2009. "Semi-two-dimensional numerical model for river morphological change prediction: theory and concepts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 49(3), pages 565-603, June.
    • Handle: RePEc:spr:nathaz:v:49:y:2009:i:3:p:565-603
    DOI: 10.1007/s11069-008-9304-9
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    References listed on IDEAS

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    1. T. Mahdi, 2007. "Pairing geotechnics and fluvial hydraulics for the prediction of the hazard zones of an exceptional flooding," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 42(1), pages 225-236, July.
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    1. Tew-Fik Mahdi & Tarek Merabtene, 2010. "Automated numerical analysis tool for assessing potential bank failures during flooding," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 55(1), pages 3-14, October.
    2. Eman AlQasimi & Tew-Fik Mahdi, 2019. "Flooding of the Saguenay region in 1996: Part 1—modeling River Ha! Ha! flooding," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(1), pages 1-15, March.
    3. Justin McKibbon & Tew-Fik Mahdi, 2010. "Automatic calibration tool for river models based on the MHYSER software," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(3), pages 879-899, September.
    4. Han-Chung Yang & Cheng-Wu Chen, 2012. "Potential hazard analysis from the viewpoint of flow measurement in large open-channel junctions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(2), pages 803-813, March.
    5. Han-Chung Yang & Chuan-Yi Wang & Jia-Xue Yang, 2014. "Applying image recording and identification for measuring water stages to prevent flood hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 737-754, November.

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