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.
Evaluation of the parallel performance of the TRIGRS v2.1 model for rainfall-induced landslides
M Alvioli;
2016
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.File | Dimensione | Formato | |
---|---|---|---|
prod_356357-doc_115941.pdf
accesso aperto
Descrizione: Evaluation of the parallel performance of the TRIGRS v2.1 model for rainfall-induced landslides
Tipologia:
Documento in Pre-print
Dimensione
634.01 kB
Formato
Adobe PDF
|
634.01 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.