Articles | Volume 8, issue 12
Geosci. Model Dev., 8, 4027–4043, 2015
https://doi.org/10.5194/gmd-8-4027-2015
Geosci. Model Dev., 8, 4027–4043, 2015
https://doi.org/10.5194/gmd-8-4027-2015

Model description paper 16 Dec 2015

Model description paper | 16 Dec 2015

r.randomwalk v1, a multi-functional conceptual tool for mass movement routing

M. Mergili et al.

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Cited articles

Blahut, J., Horton, P., Sterlacchini, S., and Jaboyedoff, M.: Debris flow hazard modelling on medium scale: Valtellina di Tirano, Italy, Nat. Hazards Earth Syst. Sci., 10, 2379–2390, https://doi.org/10.5194/nhess-10-2379-2010, 2010.
Burton, A. and Bathurst, J. C.: Physically based modelling of shallow landslide sediment yield at a catchment scale, Environ. Geol., 35, 89–99, 1998.
Christen, M., Bartelt, P., and Kowalski, J.: Back calculation of the In den Arelen avalanche with RAMMS: interpretation of model results, Ann. Glaciol., 51, 161–168, 2010a.
Christen, M., Kowalski, J., and Bartelt, B.: RAMMS: Numerical simulation of dense snow avalanches in three-dimensional terrain, Cold Reg. Sci. Technol., 63, 1–14, 2010b.
Corominas, J., Copons, R., Vilaplana, J. M., Altamir, J., and Amigó, J.: Integrated Landslide Susceptibility Analysis and Hazard Assessment in the Principality of Andorra, Nat. Hazards, 30, 421–435, 2003.
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Short summary
r.randomwalk is a flexible and multi-functional open-source GIS tool for simulating the propagation of mass movements. Mass points are routed from given release pixels through a digital elevation model until a defined break criterion is reached. In contrast to existing tools, r.randomwalk includes functionalities to account for parameter uncertainties, and it offers built-in functions for validation and visualization. We show the key functionalities of r.randomwalk for three test areas.