r.avaflow & r.randomwalk: two complementary and comprehensive open source GIS simulation tools for the propagation of rapid geophysical mass flows

, , , ,
1 Institute of Applied Geology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
2 Department of Geography and Regional Research, University of Vienna, Vienna, Austria
3 Benedikt IT Services (BITS), Vienna, Austria
4 Group Roads, Provincial Government of Lower Austria, St. Pölten, Austria
5 Department of Natural Hazards, Austrian Research Centre for Forests (BFW), Innsbruck, Austria
6 Department of Geophysics, University of Bonn, Bonn, Germany
DOI
10.7287/peerj.preprints.2224v2
Published
Accepted
Subject Areas
Scientific Computing and Simulation, Spatial and Geographic Information Systems
Keywords
GRASS GIS, Geophysical mass flows, Parameter studies, Conceptual model, Two-phase flow model
Copyright
© 2016 Mergili et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Mergili M, Benedikt M, Krenn J, Fischer J, Pudasaini SP. 2016. r.avaflow & r.randomwalk: two complementary and comprehensive open source GIS simulation tools for the propagation of rapid geophysical mass flows. PeerJ Preprints 4:e2224v2

Abstract

We present two GIS model applications for simulating the propagation of rapid geophysical mass flows: r.avaflow employs an advanced physically-based two phase flow model intended for in-detail case studies, r.randomwalk a conceptual model suitable for studies at various scales. Both tools are implemented in open source software environments serving for the needs of both research and practice. They offer a range of visualization, validation, parameter sensitivity analysis and parameter optimization functions. Some of the key functionalities of both tools are demonstrated for the Acheron rock avalanche in New Zealand.

Author Comment

The preprint has been reformatted according to OGRS2016 template.

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