Articles | Volume 20, issue 11
https://doi.org/10.5194/nhess-20-2905-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-2905-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Nov 2020
Research article |
| 03 Nov 2020
| 03 Nov 2020
Deriving rainfall thresholds for landsliding at the regional scale: daily and hourly resolutions, normalisation, and antecedent rainfall
Elena Leonarduzzi
CORRESPONDING AUTHOR
Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
Peter Molnar
Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland
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Cited
20 citations as recorded by crossref.
- Rainfall spatial-heterogeneity accelerates landscape evolution processes N. Peleg et al. 10.1016/j.geomorph.2021.107863
- Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod 10.1016/j.wace.2022.100492
- Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia R. Satyaningsih et al. 10.1007/s11069-023-06208-2
- Comparison of the return period for landslide‐triggering rainfall events in Japan based on standardization of the rainfall period H. Tsunetaka 10.1002/esp.5228
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
- Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al. 10.5194/nhess-23-1483-2023
- Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment J. Hirschberg et al. 10.5194/nhess-21-2773-2021
- The role of geomorphology, rainfall and soil moisture in the occurrence of landslides triggered by 2018 Typhoon Mangkhut in the Philippines C. Abancó et al. 10.5194/nhess-21-1531-2021
- Extracting more features from rainfall data to analyze the conditions triggering debris flows Y. Zhao et al. 10.1007/s10346-022-01893-9
- 降雨诱发深层老滑坡复活变形的动态作用机制 K. Song et al. 10.3799/dqkx.2022.184
- Utilization of streamflow rates for determination of precipitation thresholds for landslides in a data-scarce region (Eastern Bartın, NW Türkiye) P. Avcı & M. Ercanoglu 10.1007/s12665-024-11487-4
- Preface to the Special Issue “Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning” S. Segoni et al. 10.3390/w13030323
- Satellite rainfall products outperform ground observations for landslide prediction in India M. Brunetti et al. 10.5194/hess-25-3267-2021
- Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data C. Millán-Arancibia & W. Lavado-Casimiro 10.5194/nhess-23-1191-2023
- Reliability and Sensitivity Analysis of Rainfall-Induced Shallow Landslides Using Trigrs Model. Case Study: San Antonio De Prado L. Osorio-Ríos et al. 10.2139/ssrn.4076168
- Validation and potential forecast use of a debris-flow rainfall threshold calibrated with the Backward Dynamical Approach M. Martinengo et al. 10.1016/j.geomorph.2022.108519
- Time-Series Variation of Landslide Expansion in Areas with a Low Frequency of Heavy Rainfall K. Koshimizu & T. Uchida 10.3390/geosciences13100314
- Rainfall-induced shallow landslides and soil wetness: comparison of physically based and probabilistic predictions E. Leonarduzzi et al. 10.5194/hess-25-5937-2021
- Methodological and conceptual challenges in rare and severe event forecast verification P. Ebert & P. Milne 10.5194/nhess-22-539-2022
- Deciphering meteorological influencing factors for Alpine rockfalls: a case study in Aosta Valley G. Bajni et al. 10.1007/s10346-021-01697-3
19 citations as recorded by crossref.
- Rainfall spatial-heterogeneity accelerates landscape evolution processes N. Peleg et al. 10.1016/j.geomorph.2021.107863
- Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod 10.1016/j.wace.2022.100492
- Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia R. Satyaningsih et al. 10.1007/s11069-023-06208-2
- Comparison of the return period for landslide‐triggering rainfall events in Japan based on standardization of the rainfall period H. Tsunetaka 10.1002/esp.5228
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
- Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al. 10.5194/nhess-23-1483-2023
- Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment J. Hirschberg et al. 10.5194/nhess-21-2773-2021
- The role of geomorphology, rainfall and soil moisture in the occurrence of landslides triggered by 2018 Typhoon Mangkhut in the Philippines C. Abancó et al. 10.5194/nhess-21-1531-2021
- Extracting more features from rainfall data to analyze the conditions triggering debris flows Y. Zhao et al. 10.1007/s10346-022-01893-9
- 降雨诱发深层老滑坡复活变形的动态作用机制 K. Song et al. 10.3799/dqkx.2022.184
- Utilization of streamflow rates for determination of precipitation thresholds for landslides in a data-scarce region (Eastern Bartın, NW Türkiye) P. Avcı & M. Ercanoglu 10.1007/s12665-024-11487-4
- Preface to the Special Issue “Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning” S. Segoni et al. 10.3390/w13030323
- Satellite rainfall products outperform ground observations for landslide prediction in India M. Brunetti et al. 10.5194/hess-25-3267-2021
- Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data C. Millán-Arancibia & W. Lavado-Casimiro 10.5194/nhess-23-1191-2023
- Reliability and Sensitivity Analysis of Rainfall-Induced Shallow Landslides Using Trigrs Model. Case Study: San Antonio De Prado L. Osorio-Ríos et al. 10.2139/ssrn.4076168
- Validation and potential forecast use of a debris-flow rainfall threshold calibrated with the Backward Dynamical Approach M. Martinengo et al. 10.1016/j.geomorph.2022.108519
- Time-Series Variation of Landslide Expansion in Areas with a Low Frequency of Heavy Rainfall K. Koshimizu & T. Uchida 10.3390/geosciences13100314
- Rainfall-induced shallow landslides and soil wetness: comparison of physically based and probabilistic predictions E. Leonarduzzi et al. 10.5194/hess-25-5937-2021
- Methodological and conceptual challenges in rare and severe event forecast verification P. Ebert & P. Milne 10.5194/nhess-22-539-2022
1 citations as recorded by crossref.
Latest update: 24 Apr 2024
Short summary
Landslides are a natural hazard that affects alpine regions. Here we focus on rainfall-induced shallow landslides and one of the most widely used approaches for their predictions: rainfall thresholds. We design several comparisons utilizing a landslide database and rainfall records in Switzerland. We find that using daily rather than hourly rainfall might be a better option in some circumstances, and mean annual precipitation and antecedent wetness can improve predictions at the regional scale.
Landslides are a natural hazard that affects alpine regions. Here we focus on rainfall-induced...
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