Articles | Volume 10, issue 2
https://doi.org/10.5194/gmd-10-553-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-553-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows
Institute of Applied Geology, University of Natural Resources and Life Sciences (BOKU),
Peter-Jordan-Straße 70, 1190 Vienna, Austria
Geomorphological Systems and Risk Research, Department of Geography and Regional Research, University of Vienna, Universitätsstraße 7, 1190 Vienna, Austria
Jan-Thomas Fischer
Department of Natural Hazards, Austrian Research Centre for Forests (BFW), Rennweg 1, 6020 Innsbruck, Austria
Julia Krenn
Institute of Applied Geology, University of Natural Resources and Life Sciences (BOKU),
Peter-Jordan-Straße 70, 1190 Vienna, Austria
Group Roads, Provincial Government of Lower Austria, Landhausplatz 1/17, 3109 St. Pölten, Austria
Shiva P. Pudasaini
Department of Geophysics, University of Bonn, Meckenheimer Allee 176, 53115 Bonn, Germany
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- Deposition morphology in large-scale laboratory stony debris flows I. Baselt et al. 10.1016/j.geomorph.2021.107992
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- Numerical assessment of the impeding effect of check dams in the Hongchun debris flow gully, Sichuan Province, China W. Shen et al. 10.1007/s10064-020-01755-5
- Depth-Integrated Two-Phase Modeling of Two Real Cases: A Comparison between r.avaflow and GeoFlow-SPH Codes S. Mousavi Tayebi et al. 10.3390/app11125751
- The grain size distribution and composition of the Touzhai rock avalanche deposit in Yunnan, China Z. Ren et al. 10.1016/j.enggeo.2018.01.007
- A rockfall-induced glacial lake outburst flood, Upper Barun Valley, Nepal A. Byers et al. 10.1007/s10346-018-1079-9
- Combining release and runout in statistical landslide susceptibility modeling M. Mergili et al. 10.1007/s10346-019-01222-7
- Debris Flow Analyst (DA): A debris flow model considering kinematic uncertainties and using a GIS platform Y. Wu & H. Lan 10.1016/j.enggeo.2020.105877
- Significance of boulder shape, shoreline configuration and pre‐transport setting for the transport of boulders by tsunamis J. Oetjen et al. 10.1002/esp.4870
- Numerical modelling of the long runout character of 2015 Shenzhen landslide with a general two-phase mass flow model C. Qiao et al. 10.1007/s10064-018-1329-z
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- The 2020 glacial lake outburst flood at Jinwuco, Tibet: causes, impacts, and implications for hazard and risk assessment G. Zheng et al. 10.5194/tc-15-3159-2021
- Model test on the entrainment phenomenon and energy conversion mechanism of flow-like landslides H. Yang et al. 10.1016/j.enggeo.2018.03.023
- Time and path prediction of landslides using InSAR and flow model P. Roy et al. 10.1016/j.rse.2022.112899
- The role of discontinuities in the susceptibility, development, and runout of rock avalanches: a review H. Lan et al. 10.1007/s10346-022-01868-w
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- Modeling the Slump-Type Landslide Tsunamis Part I: Developing a Three-Dimensional Bingham-Type Landslide Model T. Wu et al. 10.3390/app10186501
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Latest update: 22 Mar 2023
Short summary
r.avaflow represents a GIS-based, multi-functional open-source tool for the simulation of debris flows, rock avalanches, snow avalanches, or two-phase (solid and fluid) process chains. It further facilitates parameter studies and validation of the simulation results against observed patterns. r.avaflow shall inform strategies to reduce the risks related to the interaction of mass flow processes with society.
r.avaflow represents a GIS-based, multi-functional open-source tool for the simulation of debris...