Articles | Volume 18, issue 6
https://doi.org/10.5194/nhess-18-1717-2018
https://doi.org/10.5194/nhess-18-1717-2018
Research article
 | 
20 Jun 2018
Research article |  | 20 Jun 2018

Adopting the I3R24 rainfall index and landslide susceptibility for the establishment of an early warning model for rainfall-induced shallow landslides

Lun-Wei Wei, Chuen-Ming Huang, Hongey Chen, Chyi-Tyi Lee, Chun-Chi Chi, and Chen-Lung Chiu

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (31 Mar 2018) by Samuele Segoni
AR by Lun-Wei Wei on behalf of the Authors (12 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 May 2018) by Samuele Segoni
RR by Anonymous Referee #2 (16 May 2018)
RR by Anonymous Referee #1 (25 May 2018)
ED: Publish subject to technical corrections (25 May 2018) by Samuele Segoni
AR by Lun-Wei Wei on behalf of the Authors (26 May 2018)  Author's response    Manuscript
Download
Short summary
The difference in susceptibility might lead to a difference in warning threshold for rainfall-induced landslides. Here we divided slope units into three susceptibility levels and established their thresholds separately. It was found that the threshold values gradually increased as the susceptibility decreased for the same alert level. This showed that classifying susceptibility and establishing thresholds separately might provide refined thresholds for disaster prevention.
Altmetrics
Final-revised paper
Preprint