Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.883 IF 2.883
  • IF 5-year value: 3.321 IF 5-year
    3.321
  • CiteScore value: 3.07 CiteScore
    3.07
  • SNIP value: 1.336 SNIP 1.336
  • IPP value: 2.80 IPP 2.80
  • SJR value: 1.024 SJR 1.024
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 81 Scimago H
    index 81
  • h5-index value: 43 h5-index 43
Discussion papers
https://doi.org/10.5194/nhess-2019-372
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-372
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 13 Nov 2019

Submitted as: research article | 13 Nov 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Rockfall modelling in forested areas: the role of digital terrain model spatial resolution

Barbara Žabota1, Matjaž Mikoš2, and Milan Kobal3 Barbara Žabota et al.
  • 1Department of Forestry and Forest Renewable Resources, Biotechnical Faculty, University of Ljubljana, Večnapot 83, 1000 Ljubljana, Slovenia
  • 2Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia
  • 3Department of Forestry and Forest Renewable Resources, Biotechnical Faculty, University of Ljubljana, Večna pot 83, 1000 Ljubljana, Slovenia

Abstract. This article examines how digital terrain model (DTM) spatial resolution influences rockfall modelling using a probabilistic process-based model, RockyFor3D, while taking into account the effect of forest on rockfall propagation and runout area. A rockfall site in the Trenta valley, NW Slovenia, was chosen as a case study. The analysis included DTM spatial resolutions of 1 m, 2 m, 5 m, 10 m, 12.5 m and 25 m, based on lidar data. The highest spatial resolution (1 m) was used to calibrate the surface roughness coefficients of the model while also taking into account the effect of forest since it shapes the rockfall propagation and runout area. The results of the calibration runs were evaluated using goodness-of-fit indices, and the best set of parameters were further used for modelling rockfalls with and without the effect of forest for all spatial resolutions. Accuracy statistics were used to validate the modelled rockfall propagation and runout area for each spatial resolution, with/without the effect of forest. Finally, modelling outputs, such as the mean of the maximum and maximum kinetic energy, the number of block passes and forest parameters in the rockfall propagation area, were compared.

Barbara Žabota et al.
Interactive discussion
Status: open (until 11 Jan 2020)
Status: open (until 11 Jan 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Barbara Žabota et al.
Barbara Žabota et al.
Viewed  
Total article views: 179 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
151 26 2 179 1 1
  • HTML: 151
  • PDF: 26
  • XML: 2
  • Total: 179
  • BibTeX: 1
  • EndNote: 1
Views and downloads (calculated since 13 Nov 2019)
Cumulative views and downloads (calculated since 13 Nov 2019)
Viewed (geographical distribution)  
Total article views: 153 (including HTML, PDF, and XML) Thereof 153 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 07 Dec 2019
Publications Copernicus
Download
Short summary
This article is studying how the spatial resolution of digital terrain model is influencing the modelling of rockfall propagation and runout areas when the protection effect of forest is included in the model. The research was applied on six spatial resolutions of lidar data as an input into RockyFor3D model. The effect of forest is the most evident and accurately modelled at the highest spatial resolutions, and the results confirm forest should be a part of rockfall hazard assessment.
This article is studying how the spatial resolution of digital terrain model is influencing the...
Citation