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
39 citations as recorded by crossref.
- Rainfall spatial-heterogeneity accelerates landscape evolution processes N. Peleg et al.
- Study on meteorological risk early warning for landslides based on analysis of extreme rainfall-induced clustering landslide events: a case of Bailong River Basin in China S. Liu et al.
- A Cost-Risk Weather Index Framework for Scheduling Nuclear Site Preparation in Tropical Climates N. Saputra & J. Wooyong
- Addressing the Effect of Intra-Seasonal Variations in Developing Rainfall Thresholds for Landslides: An Antecedent Rainfall-Based Approach C. Vishnu et al.
- Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod
- Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia R. Satyaningsih et al.
- How is the occurrence of rainfall-triggered landslides related to extreme rainfall? B. Zhao et al.
- Comparison of the return period for landslide‐triggering rainfall events in Japan based on standardization of the rainfall period H. Tsunetaka
- A new rainfall Intensity−Duration threshold curve for debris flows using comprehensive rainfall intensity Y. Zhao et al.
- Extracting more features from rainfall data to analyze the conditions triggering debris flows Y. Zhao et al.
- 降雨诱发深层老滑坡复活变形的动态作用机制 K. Song et al.
- Utilization of streamflow rates for determination of precipitation thresholds for landslides in a data-scarce region (Eastern Bartın, NW Türkiye) P. Avcı & M. Ercanoglu
- Reliability and Sensitivity Analysis of Rainfall-Induced Shallow Landslides Using Trigrs Model. Case Study: San Antonio De Prado L. Osorio-Ríos et al.
- Optimising landslide initiation modelling with high-resolution saturation prediction based on soil moisture monitoring data T. Halter et al.
- Validation and potential forecast use of a debris-flow rainfall threshold calibrated with the Backward Dynamical Approach M. Martinengo et al.
- Time-Series Variation of Landslide Expansion in Areas with a Low Frequency of Heavy Rainfall K. Koshimizu & T. Uchida
- Rainfall-induced shallow landslides and soil wetness: comparison of physically based and probabilistic predictions E. Leonarduzzi et al.
- An integrated early warning model for rainfall-induced landslides based on rainfall–displacement kinematic features Y. Ben et al.
- Assessing rainfall threshold for shallow landslides triggering: a case study in the Alpes Maritimes region, France S. Barthélemy et al.
- A Controlled Rainfall Simulator T. Marbun et al.
- Development and Evaluation of Dimensionless Design Storm Hyetographs for Southwestern Saudi Arabia in a Hyper-Arid Climate R. Alharbi
- In situ soil moisture data improve precipitation-based shallow landslide early warning through innovative machine learning methods T. Halter et al.
- Regional dynamic early warning model for rainfall-induced landslide in Fujian, China H. Dou et al.
- Causality-Guided Deep learning for streamflow predicting in a mountainous region X. Tang et al.
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al.
- Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al.
- Hotter summers, heavier showers: Global warming and its impact on Swiss short-duration rainfall extremes N. Peleg et al.
- Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment J. Hirschberg et al.
- 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.
- Impact of Earthquake on Rainfall Thresholds for Sustainable Geo-Hazard Warnings: A Case Study of Luding Earthquake Q. Zhang et al.
- Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China Z. Xu et al.
- A novel prototype national-scale landslide nowcasting system for Italy combining rainfall thresholds and risk indicators S. Segoni et al.
- Preface to the Special Issue “Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning” S. Segoni et al.
- Satellite rainfall products outperform ground observations for landslide prediction in India M. Brunetti et al.
- Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data C. Millán-Arancibia & W. Lavado-Casimiro
- Development of a Precipitation-Induced Moisture-Driven Landslide Threshold Atlas for the Northwestern and Northeastern Himalayas D. Monga & P. Ganguli
- SAL Method Applied in Grid Forecasting Product Verification with Three-Source Fusion Product D. Su et al.
- Methodological and conceptual challenges in rare and severe event forecast verification P. Ebert & P. Milne
- Coupling hydrological, geotechnical and machine learning models to enhance landslide prediction for an early warning system: application to Upper Garonne River Basin, Pyrenees, Spain F. Asurza et al.
39 citations as recorded by crossref.
- Rainfall spatial-heterogeneity accelerates landscape evolution processes N. Peleg et al.
- Study on meteorological risk early warning for landslides based on analysis of extreme rainfall-induced clustering landslide events: a case of Bailong River Basin in China S. Liu et al.
- A Cost-Risk Weather Index Framework for Scheduling Nuclear Site Preparation in Tropical Climates N. Saputra & J. Wooyong
- Addressing the Effect of Intra-Seasonal Variations in Developing Rainfall Thresholds for Landslides: An Antecedent Rainfall-Based Approach C. Vishnu et al.
- Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod
- Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia R. Satyaningsih et al.
- How is the occurrence of rainfall-triggered landslides related to extreme rainfall? B. Zhao et al.
- Comparison of the return period for landslide‐triggering rainfall events in Japan based on standardization of the rainfall period H. Tsunetaka
- A new rainfall Intensity−Duration threshold curve for debris flows using comprehensive rainfall intensity Y. Zhao et al.
- Extracting more features from rainfall data to analyze the conditions triggering debris flows Y. Zhao et al.
- 降雨诱发深层老滑坡复活变形的动态作用机制 K. Song et al.
- Utilization of streamflow rates for determination of precipitation thresholds for landslides in a data-scarce region (Eastern Bartın, NW Türkiye) P. Avcı & M. Ercanoglu
- Reliability and Sensitivity Analysis of Rainfall-Induced Shallow Landslides Using Trigrs Model. Case Study: San Antonio De Prado L. Osorio-Ríos et al.
- Optimising landslide initiation modelling with high-resolution saturation prediction based on soil moisture monitoring data T. Halter et al.
- Validation and potential forecast use of a debris-flow rainfall threshold calibrated with the Backward Dynamical Approach M. Martinengo et al.
- Time-Series Variation of Landslide Expansion in Areas with a Low Frequency of Heavy Rainfall K. Koshimizu & T. Uchida
- Rainfall-induced shallow landslides and soil wetness: comparison of physically based and probabilistic predictions E. Leonarduzzi et al.
- An integrated early warning model for rainfall-induced landslides based on rainfall–displacement kinematic features Y. Ben et al.
- Assessing rainfall threshold for shallow landslides triggering: a case study in the Alpes Maritimes region, France S. Barthélemy et al.
- A Controlled Rainfall Simulator T. Marbun et al.
- Development and Evaluation of Dimensionless Design Storm Hyetographs for Southwestern Saudi Arabia in a Hyper-Arid Climate R. Alharbi
- In situ soil moisture data improve precipitation-based shallow landslide early warning through innovative machine learning methods T. Halter et al.
- Regional dynamic early warning model for rainfall-induced landslide in Fujian, China H. Dou et al.
- Causality-Guided Deep learning for streamflow predicting in a mountainous region X. Tang et al.
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al.
- Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al.
- Hotter summers, heavier showers: Global warming and its impact on Swiss short-duration rainfall extremes N. Peleg et al.
- Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment J. Hirschberg et al.
- 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.
- Impact of Earthquake on Rainfall Thresholds for Sustainable Geo-Hazard Warnings: A Case Study of Luding Earthquake Q. Zhang et al.
- Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China Z. Xu et al.
- A novel prototype national-scale landslide nowcasting system for Italy combining rainfall thresholds and risk indicators S. Segoni et al.
- Preface to the Special Issue “Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning” S. Segoni et al.
- Satellite rainfall products outperform ground observations for landslide prediction in India M. Brunetti et al.
- Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data C. Millán-Arancibia & W. Lavado-Casimiro
- Development of a Precipitation-Induced Moisture-Driven Landslide Threshold Atlas for the Northwestern and Northeastern Himalayas D. Monga & P. Ganguli
- SAL Method Applied in Grid Forecasting Product Verification with Three-Source Fusion Product D. Su et al.
- Methodological and conceptual challenges in rare and severe event forecast verification P. Ebert & P. Milne
- Coupling hydrological, geotechnical and machine learning models to enhance landslide prediction for an early warning system: application to Upper Garonne River Basin, Pyrenees, Spain F. Asurza et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
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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