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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 14, issue 9 | Copyright
Nat. Hazards Earth Syst. Sci., 14, 2399-2408, 2014
https://doi.org/10.5194/nhess-14-2399-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 10 Sep 2014

Research article | 10 Sep 2014

Automated reconstruction of rainfall events responsible for shallow landslides

G. Vessia2,1, M. Parise2, M. T. Brunetti3,4, S. Peruccacci3, M. Rossi3,4, C. Vennari2, and F. Guzzetti3 G. Vessia et al.
  • 1Department of Engineering and Geology, University "G. d'Annunzio" of Chieti-Pescara, Via dei Vestini 31, 66031, Chieti Scalo (CH), Italy
  • 2Institute of Research for Hydrogeological Protection, National Research Council, Via Amendola 122 I, 70126 Bari, Italy
  • 3Institute of Research for Hydrogeological Protection, National Research Council, Via Madonna Alta 126, 06128 Perugia, Italy
  • 4Department of Earth Science, University of Perugia, Piazza dell'Università 1, 06123 Perugia, Italy

Abstract. Over the last 40 years, many contributions have identified empirical rainfall thresholds (e.g. rainfall intensity (I) vs. rainfall duration (D), cumulated rainfall vs. rainfall duration (ED), cumulated rainfall vs. rainfall intensity (EI)) for the possible initiation of shallow landslides, based on local and global inventories. Although different methods to trace the threshold curves have been proposed and discussed in literature, a systematic study to develop an automated procedure to select the rainfall event responsible for the landslide occurrence has only rarely been addressed. Objective criteria for estimating the rainfall responsible for the landslide occurrence play a prominent role on the threshold values. In this paper, two criteria for the identification of the effective rainfall events are presented. The first criterion is based on the analysis of the time series of rainfall mean intensity values over 1 month preceding the landslide occurrence. The second criterion is based on the analysis of the trend in the time function of the cumulated mean intensity series calculated from the rainfall records measured through rain gauges. The two criteria have been implemented in an automated procedure that is written in the R language. A sample of 100 shallow landslides collected in Italy from 2002 to 2012 was used to calibrate the procedure. The cumulated event rainfall (E) and duration (D) of rainfall events that triggered the documented landslides are calculated through the new procedure and are fitted with power law in the D, E diagram. The results are discussed by comparing the D, E pairs calculated by the automated procedure and the ones by the expert method.

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