2019
DOI: 10.3390/geosciences9020064
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Impact of a Random Sequence of Debris Flows on Torrential Fan Formation

Abstract: Debris flows with different magnitudes can have a large impact on debris fan characteristics such as height or slope. Moreover, knowledge about the impact of random sequences of debris flows of different magnitudes on debris fan properties is sparse in the literature and can be improved using numerical simulations of debris fan formation. Therefore, in this paper we present the results of numerical simulations wherein we investigated the impact of a random sequence of debris flows on torrential fan formation, … Show more

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Cited by 13 publications
(10 citation statements)
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“…Moreover, Dietrich and Krautblatter (2019) used μ = 0.16 and ξ = 200 m/s 2 parameters for debris flow modelling in Germany. Additionally, μ parameter value is in the range of the possible values that could be suitable for the alpine environment (e.g., Bezak et al 2019b). Figure 6 shows results of the simulation (i.e., deposited material) using a calibrated set of parameters.…”
Section: Ramms Modelling Resultsmentioning
confidence: 99%
“…Moreover, Dietrich and Krautblatter (2019) used μ = 0.16 and ξ = 200 m/s 2 parameters for debris flow modelling in Germany. Additionally, μ parameter value is in the range of the possible values that could be suitable for the alpine environment (e.g., Bezak et al 2019b). Figure 6 shows results of the simulation (i.e., deposited material) using a calibrated set of parameters.…”
Section: Ramms Modelling Resultsmentioning
confidence: 99%
“…the dry-Coulomb type friction μ (Mu) and the viscous-turbulent friction ξ (Xi)). These two parameters are usually calibrated, although other parameters such as stop parameter or simulation resolution also have an effect on the modelling results (Bezak et al, 2019). However, some of these are limited by data availability.…”
Section: Ramms and Debris Flow Modellingmentioning
confidence: 99%
“…alluvial fans). These are relatively flat parts of mountainous regions that are often quite heavily populated (Bezak et al, 2019). Reliable debris flow prediction is often not possible due to limited geological information or details about triggering mechanisms such as extreme rainfall event (Takahashi, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Bezak et al [6] have presented the results of numerical simulations investigating the impact of a random sequence of debris flows on torrential fan formation. The results confirm that the random sequence of debris flow events have only minor effects on the fan formation (e.g., slope, maximum height), even when changing debris flow rheological properties in a wide range.…”
Section: Landslides Modelingmentioning
confidence: 99%