2017
DOI: 10.1016/j.geomorph.2016.12.019
|View full text |Cite
|
Sign up to set email alerts
|

Modeling rockfall frequency and bounce height from three-dimensional simulation process models and growth disturbances in submontane broadleaved trees

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
17
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
1
1

Relationship

3
7

Authors

Journals

citations
Cited by 41 publications
(18 citation statements)
references
References 37 publications
1
17
0
Order By: Relevance
“…One approach to address the impact problematic is to use dendrogeomorphic techniques to asses rockfall frequency and distribution (Trappmann and Stoffel, 2015;Corona et al, 2017) and/or trajectory reconstruction via impact analysis (Paronuzzi, 2009;Saroglou et al, 2018). Hardly any data exist that directly measure rock-ground interactions during a rockfall event.…”
Section: Introductionmentioning
confidence: 99%
“…One approach to address the impact problematic is to use dendrogeomorphic techniques to asses rockfall frequency and distribution (Trappmann and Stoffel, 2015;Corona et al, 2017) and/or trajectory reconstruction via impact analysis (Paronuzzi, 2009;Saroglou et al, 2018). Hardly any data exist that directly measure rock-ground interactions during a rockfall event.…”
Section: Introductionmentioning
confidence: 99%
“…The results are still comparable with the actual state of the rockfall propagation and runout area (e.g. Trappmann et al, 2014), but perhaps the calibration could be improved if i) the rg values were not changed simultaneously, ii) more combinations of coefficients were used, iii) the calibration was done together with soil types (Corona et al, 2017), and iv) calibration was done for an individual spatial resolution. In future rockfall modelling we should use new techniques for determining surface roughness coefficients and other geometrical information on endangered slopes and falling rocks, e.g.…”
Section: Discussionmentioning
confidence: 57%
“…The aim of this data collection phase is to identify the hazards, model their intensity and frequency, and to zone the area at risk. These operations can be supported by several GIS tools which have been recently developed in the research field, such as RockyFor3D [38], in addition to other studies from Corona et al [39] and Monnet et al [40] for rockfall, and other models for debris flow [41] or avalanches [42,43].…”
Section: The Demand Side: Risks and Stakeholder Needsmentioning
confidence: 99%