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Landslide topology uncovers failure movements

Urheber*innen

Bhuyan,  Kushanav
External Organizations;

Rana,  Kamal
External Organizations;

/persons/resource/joaquinvicente.ferrer

Ferrer,  Joaquin Vicente
Potsdam Institute for Climate Impact Research;

Cotton,  Fabrice
External Organizations;

Ozturk,  Ugur
External Organizations;

Catani,  Filippo
External Organizations;

Malik,  Nishant
External Organizations;

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Volltexte (frei zugänglich)

29771oa.pdf
(Verlagsversion), 3MB

Ergänzendes Material (frei zugänglich)

Ferrer_2024_41467_2024_46741_MOESM1_ESM.pdf
(Ergänzendes Material), 54MB

Zitation

Bhuyan, K., Rana, K., Ferrer, J. V., Cotton, F., Ozturk, U., Catani, F., Malik, N. (2024): Landslide topology uncovers failure movements. - Nature Communications, 15, 2633.
https://doi.org/10.1038/s41467-024-46741-7


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_29771
Zusammenfassung
The death toll and monetary damages from landslides continue to rise despite advancements in predictive modeling. These models’ performances are limited as landslide databases used in developing them often miss crucial information, e.g., underlying movement types. This study introduces a method of discerning landslide movements, such as slides, flows, and falls, by analyzing landslides’ 3D shapes. By examining landslide topological properties, we discover distinct patterns in their morphology, indicating different movements including complex ones with multiple coupled movements. We achieve 80-94% accuracy by applying topological properties in identifying landslide movements across diverse geographical and climatic regions, including Italy, the US Pacific Northwest, Denmark, Turkey, and Wenchuan in China. Furthermore, we demonstrate a real-world application on undocumented datasets from Wenchuan. Our work introduces a paradigm for studying landslide shapes to understand their underlying movements through the lens of landslide topology, which could aid landslide predictive models and risk evaluations.