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A general landslide distribution applied to a small inventory in Todi, Italy

By
Donald L. Turcotte
Donald L. Turcotte
1
Department of Geology, University of California
Davis, CA, 95616, USA
turcotte@geology.ucdavis.edu
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Bruce D. Malamud
Bruce D. Malamud
2
Environmental Monitoring and Modelling Research Group, Department of Geography, King’s College London
Strand, London WC2R 2LS, UK
bruce@malamud.com
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;
Fausto Guzzetti
Fausto Guzzetti
3
CNR-IRPI Perugia
via della Madonna Alta 126, Perugia 06128, Italy
fausto.guzzetti@irpi.cnr.itpaola.reichenbach@irpi.cnr.it
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Paola Reichenbach
Paola Reichenbach
3
CNR-IRPI Perugia
via della Madonna Alta 126, Perugia 06128, Italy
fausto.guzzetti@irpi.cnr.itpaola.reichenbach@irpi.cnr.it
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Published:
January 01, 2006

Abstract

Large numbers of landslides can be associated with a trigger, for example, an earthquake or a large storm. We have previously hypothesized that the frequency–area 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 4000–11,000 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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Contents

Geological Society, London, Special Publications

Fractal Analysis for Natural Hazards

G. Cello
G. Cello
University of Camerino, Italy
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B. D. Malamud
B. D. Malamud
King's College London, UK
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Geological Society of London
Volume
261
ISBN electronic:
9781862395091
Publication date:
January 01, 2006

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