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


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Date

2017-08

Publication Type

Journal Article

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Abstract

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.

Publication status

published

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Book title

Journal / series

Water Resources Research

Volume

53 (8)

Pages / Article No.

6612 - 6625

Publisher

Wiley

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03473 - Burlando, Paolo (emeritus) / Burlando, Paolo (emeritus) check_circle

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- Forecast and warning concept for landslides in Switzerland based on rainfall triggering thresholds and multiscale hydrological modelling ()

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