What does landslide triggering rainfall mean?
Landslide-triggering rainfall thresholds are often subject to both false negatives (landslides where none are expected) and false positives (no landslides despite thresholds being exceeded). Debris flows and shallow landslides impact communities and infrastructures worldwide. Refinement of the relat...
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| Published in | E3S web of conferences Vol. 415; p. 3009 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article Conference Proceeding |
| Language | English |
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Les Ulis
EDP Sciences
01.01.2023
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| Online Access | Get full text |
| ISSN | 2267-1242 2555-0403 2267-1242 |
| DOI | 10.1051/e3sconf/202341503009 |
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| Abstract | Landslide-triggering rainfall thresholds are often subject to both false negatives (landslides where none are expected) and false positives (no landslides despite thresholds being exceeded). Debris flows and shallow landslides impact communities and infrastructures worldwide. Refinement of the relation between rainfall intensity and landslide occurrence would help remove the imprecise nature of this tool moving forward. Continuous 6-hour gridded precipitation data from over a five-year interval 900 km
2
, combined with a complete, time-constrained, landslide data base over the same period, are used to derive relations for the probability of shallow landslides with rainfall intensity measured over 6-hour, 12-hour, or 24-hour durations. Previously published and widely used thresholds are quantified in terms of landslide probability per unit area and demonstrate, for different sized study areas, the likelihood that at least one landslide will be initiated at different intensities and durations. Probabilistic distribution of landslides for a given study area and rainfall intensity can be easily derived using the binomial method from these relations. |
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| AbstractList | Landslide-triggering rainfall thresholds are often subject to both false negatives (landslides where none are expected) and false positives (no landslides despite thresholds being exceeded). Debris flows and shallow landslides impact communities and infrastructures worldwide. Refinement of the relation between rainfall intensity and landslide occurrence would help remove the imprecise nature of this tool moving forward. Continuous 6-hour gridded precipitation data from over a five-year interval 900 km
2
, combined with a complete, time-constrained, landslide data base over the same period, are used to derive relations for the probability of shallow landslides with rainfall intensity measured over 6-hour, 12-hour, or 24-hour durations. Previously published and widely used thresholds are quantified in terms of landslide probability per unit area and demonstrate, for different sized study areas, the likelihood that at least one landslide will be initiated at different intensities and durations. Probabilistic distribution of landslides for a given study area and rainfall intensity can be easily derived using the binomial method from these relations. Landslide-triggering rainfall thresholds are often subject to both false negatives (landslides where none are expected) and false positives (no landslides despite thresholds being exceeded). Debris flows and shallow landslides impact communities and infrastructures worldwide. Refinement of the relation between rainfall intensity and landslide occurrence would help remove the imprecise nature of this tool moving forward. Continuous 6-hour gridded precipitation data from over a five-year interval 900 km2, combined with a complete, time-constrained, landslide data base over the same period, are used to derive relations for the probability of shallow landslides with rainfall intensity measured over 6-hour, 12-hour, or 24-hour durations. Previously published and widely used thresholds are quantified in terms of landslide probability per unit area and demonstrate, for different sized study areas, the likelihood that at least one landslide will be initiated at different intensities and durations. Probabilistic distribution of landslides for a given study area and rainfall intensity can be easily derived using the binomial method from these relations. |
| Author | Hertzman, Eric Imen, Sanaz Knibbs, Graham Bigelow, David Guthrie, Richard Wasklewicz, Thad |
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| Cites_doi | 10.1130/G33217.1 10.1007/s10346-007-0112-1 10.1016/S0169-555X(02)00339-2 10.1002/(SICI)1096-9837(199908)24:9<825::AID-ESP14>3.0.CO;2-M 10.5194/nhess-10-447-2010 10.1016/B978-0-12-822544-8.00012-3 10.1130/REG7-p63 10.1175/BAMS-D-19-0143.A |
| ContentType | Journal Article Conference Proceeding |
| Copyright | 2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. |
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| Snippet | Landslide-triggering rainfall thresholds are often subject to both false negatives (landslides where none are expected) and false positives (no landslides... |
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| SubjectTerms | Debris flow Hydrologic data Landslides Landslides & mudslides Rainfall Rainfall intensity Statistical analysis Thresholds |
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| Title | What does landslide triggering rainfall mean? |
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