Introducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situations

van Zadelhoff, Feiko Bernard; Albaba, Adel; Cohen, Denis; Phillips, Chris; Schaefli, Bettina; Dorren, Luuk; Schwarz, Massimiliano

doi:https://doi.org/10.5194/nhess-22-2611-2022

Articles | Volume 22, issue 8

https://doi.org/10.5194/nhess-22-2611-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-22-2611-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 8

Research article

|

15 Aug 2022

Research article |

| 15 Aug 2022

Introducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situations

Feiko Bernard van Zadelhoff, Adel Albaba, Denis Cohen, Chris Phillips, Bettina Schaefli, Luuk Dorren, and Massimiliano Schwarz

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https://doi.org/10.5194/nhess-22-2611-2022-supplement

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Introducing SlideforMAP; a probabilistic finite slope approach for modelling shallow landslide probability in forested situations Feiko Bernard van Zadelhoff, Adel Albaba, Denis Cohen, Chris Philips, Bettina Schaefli, Luuk Dorren, and Massimiliano Schwarz https://doi.org/10.5281/zenodo.6793533

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Short summary

Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard and the impact of protective measures can reduce losses. We developed a model (SlideforMAP) that can assess the shallow-landslide risk on a regional scale for specific rainfall events. Trees are an effective and cheap protective measure on a regional scale. Our model can assess their hazard reduction down to the individual tree level.