Flood Hazard Mapping in Alluvial Fans with Computational Modeling

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 thre...

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Bibliographic Details
Published in:Water resources management 2021-03, Vol.35 (5), p.1463-1478
Main Authors: Vasconcellos, Sofia Melo, Kobiyama, Masato, Dagostin, Fernanda Stachowski, Corseuil, Claudia Weber, Castiglio, Vinicius Santana
Format: Article
Language:English
Subjects:
Alluvial basins
Alluvial fans
Atmospheric Sciences
Civil Engineering
Computer applications
Debris flow
Earth and Environmental Science
Earth Sciences
Environment
False alarms
Flood control
Flood hazards
Flood mapping
Floods
Flow mapping
Geomorphology
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology
Hydrology/Water Resources
Mapping
Mobility
Model testing
Performance measurement
Regions
River basins
Rivers
Two dimensional analysis
Two dimensional models
Valleys
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Summary: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).
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-021-02794-7