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Lookup NU author(s): Dr Chuang Song, Chen Yu, Professor Zhenhong Li, Professor Stefano Utili
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2022, The Author(s).Earthquake triggered landslides often pose a great threat to human life and property. Emerging research has been devoted to documenting coseismic landslides failed during or shortly after earthquakes, however, the long-term seismic effect that causes unstable landslides only to accelerate, moderately or acutely, without immediate failures is largely neglected. Here we show the activation and recovery of these earthquake accelerated landslides (EALs) in Central Italy, based on satellite radar observations. Unlike previous studies based on single or discrete landslides, we established a large inventory of 819 EALs and statistically quantified their spatial clustering features against a set of conditioning factors, thus finding that EALs did not rely on strong seismic shaking or hanging wall effects to occur and larger landslides were more likely to accelerate after earthquakes than smaller ones. We also discovered their accelerating-to-recovering sliding dynamics, and how they differed from the collapsed 759 coseismic landslides. These findings contribute to a more comprehensive understanding of the earthquake-triggering landslide mechanism and are of great significance for long-term landslide risk assessment in seismically active areas.
Author(s): Song C, Yu C, Li Z, Utili S, Frattini P, Crosta G, Peng J
Publication type: Article
Publication status: Published
Journal: Nature Communications
Year: 2022
Volume: 13
Issue: 1
Online publication date: 29/11/2022
Acceptance date: 16/11/2022
Date deposited: 13/12/2022
ISSN (electronic): 2041-1723
Publisher: Nature Research
URL: https://doi.org/10.1038/s41467-022-35035-5
DOI: 10.1038/s41467-022-35035-5
PubMed id: 36446805
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