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1 Department of Geology, University of California, Davis, CA, 95616, USA turcotte{at}geology.ucdavis.edu
2 Environmental Monitoring and Modelling Research Group, Department of Geography, Kings College London, Strand, London WC2R 2LS, UK bruce{at}malamud.com
3 CNR-IRPI Perugia, via della Madonna Alta 126, Perugia 06128, Italy paola.reichenbach{at}irpi.cnr.it
(e-mail: fausto.guzzetti{at}irpi.cnr.it)
Large numbers of landslides can be associated with a trigger, for example, an earthquake or a large storm. We have previously hypothesized that the frequencyarea statistics of landslides triggered in an event are well approximated by a three-parameter inverse-gamma distribution, irrespective of the trigger type. The use of this general distribution was established using three substantially complete and well-documented landslide event inventories: 11,000 landslides triggered by the Northridge California Earthquake, 4000 landslides triggered by rapidly melting snow cover in the Umbria region of Italy, and 9000 landslides triggered by heavy rainfall associated with Hurricane Mitch in Guatemala. In this paper, we examine further this general landslide distribution by using an inventory of 165 landslides triggered by heavy rainfall in the region of Todi, Central Italy. Our previous studies have shown the applicability of our general landslide distribution to events with 400011,000 landslides. This smaller inventory provides a critical step in examining the applicability of the general landslide distribution. We find very good agreement of the Todi event with our general distribution. This also provides support for our further hypothesis that the mean area of landslides triggered by an event is approximately independent of the event size.
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B. D. Malamud and D. L. Turcotte An inverse cascade explanation for the power-law frequency-area statistics of earthquakes, landslides and wildfires Geological Society, London, Special Publications, 2006; 261: 1 - 9. [Abstract] [PDF] |
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