Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 20, issue 5
Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1441-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-1441-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 5
Research article
 | 
26 May 2020
Research article |  | 26 May 2020

Topographic uncertainty quantification for flow-like landslide models via stochastic simulations

Hu Zhao and Julia Kowalski

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Latest update: 07 Nov 2024
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Short summary
We study the impact of topographic uncertainty on landslide run-out modeling using conditional and unconditional stochastic simulation. First, we propose a generic workflow and then apply it to a historic flow-like landslide. We find that topographic uncertainty can greatly affect landslide run-out modeling, depending on how well the underlying flow path is captured by topographic data. The difference between unconditional and conditional stochastic simulation is discussed in detail.
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