Evaluation of the parallel performance of the TRIGRS v2.1 model for rainfall-induced landslides
- Published
- Accepted
- Subject Areas
- Distributed and Parallel Computing, Scientific Computing and Simulation, Spatial and Geographic Information Systems
- Keywords
- TRIGRS, Landslides, Rainfall-Induced Landslides, Shallow Landslides, Runoff, Hydrology, Rainfall, Cloud, Parallel, MPI
- Copyright
- © 2016 Alvioli 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
- 2016. Evaluation of the parallel performance of the TRIGRS v2.1 model for rainfall-induced landslides. PeerJ Preprints 4:e2206v1 https://doi.org/10.7287/peerj.preprints.2206v1
Abstract
The widespread availability of high resolution digital elevation models (DEM) opens the possibility of applying physically based models of landslide initiation to large areas. With increasing size of the study area and resolution of the DEM, the required computing time for each run of the model increases proportionally to the number of grid cells in the study area. The aim of this work is to present a new parallel implementation of TRIGRS (Alvioli and Baum, 2016), an open-source FORTRAN program (software available for download at http://geomorphology.irpi.cnr.it/tools/trigrs and https://github.com/usgs/landslides-trigrs) designed for modeling the timing and distribution of shallow, rainfall-induced landslides, and to discuss its parallel performance.
Author Comment
This is an article intended for the OGRS2016 Collection.