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| Titel |
Probability distributions of landslide volumes |
| VerfasserIn |
M. T. Brunetti, F. Guzzetti, M. Rossi |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 16, no. 2 ; Nr. 16, no. 2 (2009-03-11), S.179-188 |
| Datensatznummer |
250013129
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| Publikation (Nr.) |
 copernicus.org/npg-16-179-2009.pdf |
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| Zusammenfassung |
| We examine 19 datasets with measurements of landslide volume, VL, for
sub-aerial, submarine, and extraterrestrial mass movements. Individual
datasets include from 17 to 1019 landslides of different types, including
rock fall, rock slide, rock avalanche, soil slide, slide, and debris flow,
with individual landslide volumes ranging over 10−4 m3≤VL≤1013 m3. We determine the probability density of
landslide volumes, p(VL), using kernel density estimation. Each landslide
dataset exhibits heavy tailed (self-similar) behaviour for their
frequency-size distributions, p(VL) as a function of VL, for failures
exceeding different threshold volumes, VL*, for each dataset. These
non-cumulative heavy-tailed distributions for each dataset are negative
power-laws, with exponents 1.0≤β≤1.9, and averaging β≈1.3. The scaling behaviour of VL for the ensemble of
the 19 datasets is over 17 orders of magnitude, and is independent of
lithological characteristics, morphological settings, triggering mechanisms,
length of period and extent of the area covered by the datasets, presence or
lack of water in the failed materials, and magnitude of gravitational
fields. We argue that the statistics of landslide volume is conditioned
primarily on the geometrical properties of the slope or rock mass where
failures occur. Differences in the values of the scaling exponents reflect
the primary landslide types, with rock falls exhibiting a smaller scaling
exponent (1.1≤β≤1.4) than slides and soil slides (1.5≤β≤1.9).
We argue that the difference is a consequence of the disparity
in the mechanics of rock falls and slides. |
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