Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-2877-2018
https://doi.org/10.5194/nhess-18-2877-2018
Research article
 | 
06 Nov 2018
Research article |  | 06 Nov 2018

Evaluating critical rainfall conditions for large-scale landslides by detecting event times from seismic records

Hsien-Li Kuo, Guan-Wei Lin, Chi-Wen Chen, Hitoshi Saito, Ching-Weei Lin, Hongey Chen, and Wei-An Chao

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (03 Sep 2018) by Jean-Philippe Malet
AR by Guan-Wei Lin on behalf of the Authors (12 Sep 2018)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (07 Oct 2018) by Jean-Philippe Malet
AR by Guan-Wei Lin on behalf of the Authors (15 Oct 2018)  Author's response   Manuscript 
ED: Publish as is (19 Oct 2018) by Jean-Philippe Malet
AR by Guan-Wei Lin on behalf of the Authors (24 Oct 2018)  Manuscript 
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Short summary
Building an early-warning method for rainfall-induced landslides has been an aim of landslide studies to prevent or mitigate the impact of disasters. The time information of landslides is the linchpin; however, it has been difficult to get the time information. In the study, we applied the observation of landslide-induced seismic signals to extract the occurrence times of numerous large landslides. Furthermore, the common estimations of the rainfall thresholds for landslides were performed.
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