Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3309-2017
© 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-10-3309-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The Gravitational Process Path (GPP) model (v1.0) – a GIS-based simulation framework for gravitational processes
alpS, Centre for Climate Change Adaptation, 6020 Innsbruck, Austria
Laserdata GmbH, 6020 Innsbruck, Austria
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Cited
21 citations as recorded by crossref.
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- Trends in Ecosystem Services across Europe Due to Land-Use/Cover Changes U. Schirpke & E. Tasser 10.3390/su13137095
- Towards a sediment transfer capacity index of rock glaciers: Examples from two catchments in South Tyrol, (Eastern Italian Alps) C. Kofler et al. 10.1016/j.catena.2022.106329
- Analysis of the Rockfall Phenomena Contributing to the Evolution of a Pocket Beach Area Using Traditional and Remotely Acquired Data (Lo Zingaro Nature Reserve, Southern Italy) C. Cappadonia et al. 10.3390/rs15051401
- Assessing the effect of lithological setting, block characteristics and slope topography on the runout length of rockfalls in the Alps and on the island of La Réunion K. Wegner et al. 10.5194/nhess-21-1159-2021
- Shallow Landslides and Rockfalls Velocity Assessment at Regional Scale: A Methodology Based on a Morphometric Approach A. Marinelli et al. 10.3390/geosciences12040177
- Socio-environmental value of glacier lakes: assessment in the Aosta Valley (Western Italian Alps) C. Viani et al. 10.1007/s10113-021-01860-5
- Towards automatic delineation of landslide source and runout K. Bhuyan et al. 10.1016/j.enggeo.2024.107866
- Satellite interferometric data for landslide intensity evaluation in mountainous regions L. Solari et al. 10.1016/j.jag.2019.102028
- Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
- Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design P. Lima et al. 10.1016/j.geomorph.2023.108638
- Optimizing the Numerical Simulation of Debris Flows: A New Exploration of the Hexagonal Cellular Automaton Method Z. Han et al. 10.3390/w16111536
- Automated Delimitation of Rockfall Hazard Indication Zones Using High-Resolution Trajectory Modelling at Regional Scale L. Dorren et al. 10.3390/geosciences13060182
- Robustness Evaluation of the Probability-Based Htca Model for Simulating Debris Flow Run-Out Extent: A Case Study of the 2010 Hongchun Event in China Y. Ma et al. 10.2139/ssrn.4005765
- Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows C. D'Amboise et al. 10.5194/gmd-15-2423-2022
- Robustness evaluation of the probability-based HTCA model for simulating debris-flow run-out extent: Case study of the 2010 Hongchun event, China Y. Ma et al. 10.1016/j.enggeo.2022.106918
- Integrated approach for landslide hazard assessment in the High City of Antananarivo, Madagascar (UNESCO tentative site) W. Frodella et al. 10.1007/s10346-022-01933-4
- Hydrodynamic and topography based cellular automaton model for simulating debris flow run-out extent and entrainment behavior Z. Han et al. 10.1016/j.watres.2021.116872
- Evaluating Rockfall Risk: Some Critical Aspects C. Scavia et al. 10.3390/geosciences10030098
- Landslide Monitoring and Mapping M. Del Soldato et al. 10.3390/geosciences14120350
- Spatio-temporal analysis of slope-type debris flow activity in Horlachtal, Austria, based on orthophotos and lidar data since 1947 J. Rom et al. 10.5194/nhess-23-601-2023
21 citations as recorded by crossref.
- Multi-Methodological Investigation of the Biersdorf Hillslope Debris Flow (Rheinland-Pfalz, Germany) Associated to the Torrential Rainfall Event of 14 July 2021 T. Hagge-Kubat et al. 10.3390/geosciences12060245
- Trends in Ecosystem Services across Europe Due to Land-Use/Cover Changes U. Schirpke & E. Tasser 10.3390/su13137095
- Towards a sediment transfer capacity index of rock glaciers: Examples from two catchments in South Tyrol, (Eastern Italian Alps) C. Kofler et al. 10.1016/j.catena.2022.106329
- Analysis of the Rockfall Phenomena Contributing to the Evolution of a Pocket Beach Area Using Traditional and Remotely Acquired Data (Lo Zingaro Nature Reserve, Southern Italy) C. Cappadonia et al. 10.3390/rs15051401
- Assessing the effect of lithological setting, block characteristics and slope topography on the runout length of rockfalls in the Alps and on the island of La Réunion K. Wegner et al. 10.5194/nhess-21-1159-2021
- Shallow Landslides and Rockfalls Velocity Assessment at Regional Scale: A Methodology Based on a Morphometric Approach A. Marinelli et al. 10.3390/geosciences12040177
- Socio-environmental value of glacier lakes: assessment in the Aosta Valley (Western Italian Alps) C. Viani et al. 10.1007/s10113-021-01860-5
- Towards automatic delineation of landslide source and runout K. Bhuyan et al. 10.1016/j.enggeo.2024.107866
- Satellite interferometric data for landslide intensity evaluation in mountainous regions L. Solari et al. 10.1016/j.jag.2019.102028
- Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
- Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design P. Lima et al. 10.1016/j.geomorph.2023.108638
- Optimizing the Numerical Simulation of Debris Flows: A New Exploration of the Hexagonal Cellular Automaton Method Z. Han et al. 10.3390/w16111536
- Automated Delimitation of Rockfall Hazard Indication Zones Using High-Resolution Trajectory Modelling at Regional Scale L. Dorren et al. 10.3390/geosciences13060182
- Robustness Evaluation of the Probability-Based Htca Model for Simulating Debris Flow Run-Out Extent: A Case Study of the 2010 Hongchun Event in China Y. Ma et al. 10.2139/ssrn.4005765
- Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows C. D'Amboise et al. 10.5194/gmd-15-2423-2022
- Robustness evaluation of the probability-based HTCA model for simulating debris-flow run-out extent: Case study of the 2010 Hongchun event, China Y. Ma et al. 10.1016/j.enggeo.2022.106918
- Integrated approach for landslide hazard assessment in the High City of Antananarivo, Madagascar (UNESCO tentative site) W. Frodella et al. 10.1007/s10346-022-01933-4
- Hydrodynamic and topography based cellular automaton model for simulating debris flow run-out extent and entrainment behavior Z. Han et al. 10.1016/j.watres.2021.116872
- Evaluating Rockfall Risk: Some Critical Aspects C. Scavia et al. 10.3390/geosciences10030098
- Landslide Monitoring and Mapping M. Del Soldato et al. 10.3390/geosciences14120350
- Spatio-temporal analysis of slope-type debris flow activity in Horlachtal, Austria, based on orthophotos and lidar data since 1947 J. Rom et al. 10.5194/nhess-23-601-2023
Latest update: 21 Jan 2025
Short summary
The GPP model can be used to simulate the process path and run-out area of gravitational processes based on a digital terrain model. By providing several modelling approaches, the tool can be configured for different processes such as rockfall, debris flows or snow avalanches. The tool can be applied to regional-scale studies such as natural hazard susceptibility mapping. It is implemented as tool for SAGA GIS and has been released as open source.
The GPP model can be used to simulate the process path and run-out area of gravitational...