Preprints
https://doi.org/10.5194/nhess-2019-372
https://doi.org/10.5194/nhess-2019-372
13 Nov 2019
 | 13 Nov 2019
Status: this preprint has been withdrawn by the authors.

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

Barbara Žabota, Matjaž Mikoš, and Milan Kobal

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.

This preprint has been withdrawn.

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Barbara Žabota, Matjaž Mikoš, and Milan Kobal

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Barbara Žabota, Matjaž Mikoš, and Milan Kobal
Barbara Žabota, Matjaž Mikoš, and Milan Kobal

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Latest update: 15 Jul 2024
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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.
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