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| Titel |
A methodological approach to characterise Landslide Periods based on historical series of rainfall and landslide damage |
| VerfasserIn |
O. Petrucci, A. A. Pasqua |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 9, no. 5 ; Nr. 9, no. 5 (2009-10-09), S.1655-1670 |
| Datensatznummer |
250006986
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| Publikation (Nr.) |
 copernicus.org/nhess-9-1655-2009.pdf |
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| Zusammenfassung |
Landslide Periods (LPs) are defined as periods, shorter than a hydrological
year, during which one or more landslide damage events occur in one or more
sectors of a study area. In this work, we present a methodological approach,
based on the comparative analysis of historical series of landslide damage
and daily rainfall data, aiming to characterise the main types of LPs
affecting selected areas. Cumulative rainfall preceding landslide activation
is assessed for short (1, 2, 3, and 5 days), medium (7, 10, and 30 days)
and long (60, 90, and 180 days) durations, and their Return Periods (RPs)
are assessed and ranked into three classes (Class 1: RP=5-10 years;
Class 2: RP=11-15; Class 3: RP>15 years). To assess landslide
damage, the Simplified Damage Index (SDI) is introduced. This represents
classified landslide losses and is obtained by multiplying the value of the
damaged element and the percentage of damage affecting it. The comparison of
the RP of rainfall and the SDI allows us to indentify the different types of
LPs that affected the study area in the past and that could affect it again
in the future.
The results of this activity can be used for practical purposes to define
scenarios and strategies for risk management, to suggest priorities in
policy towards disaster mitigation and preparedness and to predispose
defensive measures and civil protection plans ranked according to the types
of LPs that must be managed.
We present an application, performed for a 39-year series of
rainfall/landslide damage data and concerning a study area located in NE
Calabria (Italy); in this case study, we identify four main types of LPs,
which are ranked according to damage severity. |
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