Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22353
Title: Deriving the rainfall threshold for shallow landslide early warning during tropical cyclones: a case study in northern Philippines
Contributor(s): Javier, Dymphna (author); Kumar, Lalit (author)orcid 
Publication Date: 2018
DOI: 10.1007/s11069-017-3081-2
Handle Link: https://hdl.handle.net/1959.11/22353
Abstract: Rainfall-induced landslides (RILs) have been a source of social and economic disruption in the mountainous Baguio area in northern Philippines. Prolonged heavy rainfall usually happens during tropical cyclone and southwest monsoon activity. A pragmatic approach to RIL mitigation is to develop rainfall-based early warning. We implemented a modified regression method to derive the empirical minimum intensity (I)– duration (D) threshold I = 6.46 D-0.28 and a normalized ID threshold NI = 0.002 D-0.28 for rainfall duration ranging between 24 and 264 h. Using a separate data set to evaluate the applicability of the threshold, 93% of the landslide-triggering rainfall events fell above the derived threshold. RILs also occurred when 24-h rainfall was 0.02–28% of the mean annual precipitation or after accumulating at least 500 mm of rainfall from the onset of the rainy season. The thresholds may be further refined as more landslide data become available in the future.
Publication Type: Journal Article
Source of Publication: Natural Hazards, 90(2), p. 921-941
Publisher: Springer Netherlands
Place of Publication: The Netherlands
ISSN: 1573-0840
0921-030X
Field of Research (FOR): 090702 Environmental Engineering Modelling
090903 Geospatial Information Systems
090905 Photogrammetry and Remote Sensing
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science

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