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Flood Hazard Mapping in Alluvial Fans with Computational Modeling

Author

Listed:
  • Sofia Melo Vasconcellos

    (Federal University of Rio Grande do Sul)

  • Masato Kobiyama

    (Federal University of Rio Grande do Sul)

  • Fernanda Stachowski Dagostin

    (Federal University of Santa Catarina)

  • Claudia Weber Corseuil

    (Federal University of Santa Catarina)

  • Vinicius Santana Castiglio

    (Federal University of Rio Grande do Sul)

Abstract

Floods occurring in alluvial fans are very peculiar and hazardous, due to the mobility of the channel in the regions. Such mobility increases the uncertainty of the course to be occupied by the water or the debris flow, which makes hazard mapping more complex. Since the flow in alluvial fans is three-dimensional, the flood mapping in these regions without hydrological data can be unfeasible. Then, at first the present study applied to the Upper Mampituba river basin characterized with three main alluvial fans (Molha Coco and Malacara Fans (MCMFs) and Boi Fan), southern Brazil, three models: Hydrological Engineering Center – River Analysis System 2D (HEC-RAS), FAN Model and Height Above The Nearest Drainage (HAND). The FAN and HAND models are considered geomorphological models and comparatively simpler. Then the combination between these two models was applied to generate flood hazard maps. The proposed combination model presented results more coherent with alluvial fan feature, representing satisfactorily the flood extent of the most recent event occurred in the study area (showing good performance metrics: statistical F (%) 72.65, General Accuracy (%) 79.82, FIT(%) 38.44 and False Alarm Rate (%) 20.50).

Suggested Citation

  • Sofia Melo Vasconcellos & Masato Kobiyama & Fernanda Stachowski Dagostin & Claudia Weber Corseuil & Vinicius Santana Castiglio, 2021. "Flood Hazard Mapping in Alluvial Fans with Computational Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1463-1478, March.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:5:d:10.1007_s11269-021-02794-7
    DOI: 10.1007/s11269-021-02794-7
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    References listed on IDEAS

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    1. B. Mazzorana & F. Comiti & C. Volcan & C. Scherer, 2011. "Determining flood hazard patterns through a combined stochastic–deterministic approach," 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. 59(1), pages 301-316, October.
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    Cited by:

    1. M. Karamouz & F. Fooladi Mahani, 2021. "DEM Uncertainty Based Coastal Flood Inundation Modeling Considering Water Quality Impacts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3083-3103, August.
    2. Karim Solaimani & Fatemeh Shokrian & Shadman Darvishi, 2023. "An Assessment of the Integrated Multi-Criteria and New Models Efficiency in Watershed Flood Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 403-425, January.
    3. Jiun-Huei Jang & Petr Vohnicky & Yen-Lien Kuo, 2021. "Improvement of Flood Risk Analysis Via Downscaling of Hazard and Vulnerability Maps," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2215-2230, May.

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