Predictive performance of rainfall thresholds for shallow landslides in Switzerland from gridded daily data

A high-resolution gridded daily precipitation data set was combined with a landslide inventory containing over 2000 events in the period 1972–2012 to analyze rainfall thresholds which lead to landsliding in Switzerland. We colocated triggering rainfall to landslides, developed distributions of triggering and nontriggering rainfall event properties, and determined rainfall thresholds and intensity-duration ID curves and validated their performance. The best predictive performance was obtained by the intensity-duration ID threshold curve, followed by peak daily intensity Imax and mean event intensity Imean. Event duration by itself had very low predictive power. A single country-wide threshold of Imax = 28 mm/d was extended into space by regionalization based on surface erodibility and local climate (mean daily precipitation). It was found that wetter local climate and lower erodibility led to significantly higher rainfall thresholds required to trigger landslides. However, we showed that the improvement in model performance due to regionalization was marginal and much lower than what can be achieved by having a high-quality landslide database. Reference cases in which the landslide locations and timing were randomized and the landslide sample size was reduced showed the sensitivity of the Imax rainfall threshold model. Jack-knife and cross-validation experiments demonstrated that the model was robust. The results reported here highlight the potential of using rainfall ID threshold curves and rainfall threshold values for predicting the occurrence of landslides on a country or regional scale with possible applications in landslide warning systems, even with daily data.

[1]  Lorenzo Marchi,et al.  Impact of uncertainty in rainfall estimation on the identification of rainfall thresholds for debris flow occurrence , 2014 .

[2]  Luca Brocca,et al.  Assessment of rainfall thresholds and soil moisture modeling for operational hydrogeological risk prevention in the Umbria region (central Italy) , 2012, Landslides.

[3]  M. Martina,et al.  Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach , 2012 .

[4]  C. Frei,et al.  Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models , 2006 .

[5]  G. Guidicini,et al.  Tentative correlation between rainfall and landslides in a humid tropical environment , 1977 .

[6]  Martyn P. Clark,et al.  Probabilistic forecasting of shallow, rainfall-triggered landslides using real-time numerical weather predictions , 2008 .

[7]  Spatial estimation of debris flows-triggering rainfall and its dependence on rainfall return period , 2017 .

[8]  P. Burlando,et al.  Variability in the scale properties of high‐resolution precipitation data in the Alpine climate of Switzerland , 2008 .

[9]  M. Rossi,et al.  The rainfall intensity–duration control of shallow landslides and debris flows: an update , 2008 .

[10]  D. Shepard,et al.  Computer Mapping: The SYMAP Interpolation Algorithm , 1984 .

[11]  Santiago Beguería,et al.  Validation and Evaluation of Predictive Models in Hazard Assessment and Risk Management , 2006 .

[12]  A. Badoux,et al.  The Swiss flood and landslide damage database 1972–2007 , 2009 .

[13]  Samuele Segoni,et al.  Statistical and environmental analyses for the definition of a regional rainfall threshold system for landslide triggering in Tuscany (Italy) , 2012, Journal of Geographical Sciences.

[14]  W. Youden,et al.  Index for rating diagnostic tests , 1950, Cancer.

[15]  M. Borga,et al.  Estimation of debris flow triggering rainfall: Influence of rain gauge density and interpolation methods , 2015 .

[16]  M. Crozier.  Prediction of rainfall-triggered landslides: a test of the Antecedent Water Status Model , 1999 .

[17]  Fausto Guzzetti,et al.  Lithological and seasonal control on rainfall thresholds for the possible initiation of landslides in central Italy , 2012 .

[18]  G. Pedrozzi.  Triggering of landslides in Canton Ticino (Switzerland) and prediction by the rainfall intensity and duration method , 2004 .

[19]  Thomas Glade,et al.  Applying Probability Determination to Refine Landslide-triggering Rainfall Thresholds Using an Empirical “Antecedent Daily Rainfall Model” , 2000 .

[20]  N. Caine,et al.  The Rainfall Intensity - Duration Control of Shallow Landslides and Debris Flows , 1980 .

[21]  Oddvar Kjekstad,et al.  Economic and Social Impacts of Landslides , 2009 .

[22]  C. Frei,et al.  The climate of daily precipitation in the Alps: development and analysis of a high‐resolution grid dataset from pan‐Alpine rain‐gauge data , 2014 .

[23]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[24]  Roberto Rudari,et al.  Towards a definition of a real-time forecasting network for rainfall induced shallow landslides , 2009 .

[25]  Samuele Segoni,et al.  Rainfall thresholds for the forecasting of landslide occurrence at regional scale , 2012, Landslides.

[26]  Fausto Guzzetti,et al.  Calibration and validation of rainfall thresholds for shallow landslide forecasting in Sicily, southern Italy. , 2015 .

[27]  P. C. Stevenson.  An empirical method for the evaluation of relative landslip risk , 1977 .

[28]  Carlo Esposito,et al.  Evaluation of shallow landslide-triggering scenarios through a physically based approach: An example of application in the southern Messina area (northeastern Sicily, Italy) , 2015 .

[29]  S. L. Gariano,et al.  Rainfall thresholds for shallow landslide occurrence in Calabria, southern Italy , 2013 .

[30]  Rainfall Thresholds for Possible Occurrence of Shallow Landslides and Debris Flows in Italy , 2013 .

[31]  Peter Lehmann,et al.  Spatial statistical modeling of shallow landslides—Validating predictions for different landslide inventories and rainfall events , 2011 .

[32]  A. Kühni,et al.  The relief of the Swiss Alps and adjacent areas and its relation to lithology and structure: topographic analysis from a 250-m DEM , 2001 .

[33]  Davide Tiranti,et al.  Estimation of rainfall thresholds triggering shallow landslides for an operational warning system implementation , 2010 .

[34]  Fausto Guzzetti,et al.  Rainfall thresholds for the possible occurrence of landslides in Italy , 2010 .

[35]  F. Catani,et al.  An Operational Warning System for the Forecasting of Landslide Occurrence at Regional Scale , 2013 .

[36]  Fausto Guzzetti,et al.  Societal landslide and flood risk in Italy. , 2010 .

[37]  C. Schär,et al.  A PRECIPITATION CLIMATOLOGY OF THE ALPS FROM HIGH-RESOLUTION RAIN-GAUGE OBSERVATIONS , 1998 .

[38]  C S Peirce,et al.  The numerical measure of the success of predictions. , 1884, Science.

[39]  Francesco Marra,et al.  Space–time organization of debris flows-triggering rainfall and its effect on the identification of the rainfall threshold relationship , 2016 .

[40]  Alessandro Corsini,et al.  Use of ROC curves for early warning of landslide displacement rates in response to precipitation (Piagneto landslide, Northern Apennines, Italy) , 2017, Landslides.

[41]  Jason W. Kean,et al.  Objective definition of rainfall intensity–duration thresholds for the initiation of post-fire debris flows in southern California , 2013, Landslides.

[42]  Farrokh Nadim,et al.  Hydrometeorological threshold conditions for debris flow initiation in Norway , 2012 .

[43]  M. Rossi,et al.  Rainfall thresholds for the initiation of landslides in central and southern Europe , 2007 .

[44]  Alessio Ferrari,et al.  Monitoring and prediction in early warning systems for rapid mass movements , 2014 .

[45]  Fausto Guzzetti,et al.  Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides , 2017, Landslides.