Okuwaki, R, Fan, W, Yamada, M et al. (2 more authors) (2021) Identifying landslides from continuous seismic surface waves: a case study of multiple small-scale landslides triggered by Typhoon Talas, 2011. Geophysical Journal International. ISSN 0956-540X
Abstract
Landslides can cause devastating damage. In particular, heavy rainfall-triggered landslides pose a chain of natural hazards. However, such events are often difficult to detect, leaving the physical processes poorly understood. Here we apply a novel surface-wave detector to detect and locate landslides during the transit of Typhoon Talas 2011. We identify multiple landslides triggered by Typhoon Talas, including a landslide in the Tenryu Ward, Shizuoka prefecture, Japan, ∼400 km east from the typhoon track. The Tenryu landslide displaced a total volume of 1.2 − −1.5 × 106 m. The landslide is much smaller than those detected by using globally recorded surface waves, yet the event generated coherent seismic signals propagating up to 3000 km away. Our observations show that attributes of small and large landslides may follow the same empirical scaling relationships, indicating possible invariant failure mechanisms. Our results also suggest an alerting technology to detect and locate landslides with a sparse seismic network.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021, Oxford University Press. This is an author produced version of an article published in Geophysical Journal International. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Funding Information: | Funder Grant number Royal Society WM140108 NERC (Natural Environment Research Council) NE/S009000/1 NERC (Natural Environment Research Council) GA/13M/031 |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 May 2021 10:45 |
Last Modified: | 04 May 2021 10:45 |
Status: | Published online |
Publisher: | Oxford University Press (OUP) |
Identification Number: | 10.1093/gji/ggab129 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173217 |