DFLOWZ: A free program to evaluate the area potentially inundated by a debris flow
The transport and deposition mechanisms of debris flows are still poorly understood due to the complexity of the interactions governing the behavior of water–sediment mixtures. Empirical–statistical methods can therefore be used, instead of more sophisticated numerical methods, to predict the deposi...
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Veröffentlicht in: | Computers & geosciences 2014-06, Vol.67, p.14-23 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The transport and deposition mechanisms of debris flows are still poorly understood due to the complexity of the interactions governing the behavior of water–sediment mixtures. Empirical–statistical methods can therefore be used, instead of more sophisticated numerical methods, to predict the depositional behavior of these highly dangerous gravitational movements. We use widely accepted semi-empirical scaling relations and propose an automated procedure (DFLOWZ) to estimate the area potentially inundated by a debris flow event. Beside a digital elevation model (DEM), the procedure has only two input requirements: the debris flow volume and the possible flow-path. The procedure is implemented in Matlab and a Graphical User Interface helps to visualize initial conditions, flow propagation and final results. Different hypothesis about the depositional behavior of an event can be tested together with the possible effect of simple remedial measures. Uncertainties associated to scaling relations can be treated and their impact on results evaluated. Our freeware application aims to facilitate and speed up the process of susceptibility mapping. We discuss limits and advantages of the method in order to inform inexperienced users.
•Debris flow inundated area can be estimated using scaling relationships.•We provide a free, open-source program to evaluate debris flow hazard.•The model considers the uncertainties in scaling relationships and input data.•A Graphical User Interface facilitate the process of susceptibility mapping. |
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ISSN: | 0098-3004 1873-7803 |
DOI: | 10.1016/j.cageo.2014.02.002 |