http://www.cnr.it/ontology/cnr/individuo/prodotto/ID273460
Slope stability scaling laws within physically based models and their modifications under varying triggering conditions (Contributo in atti di convegno)
- Type
- Label
- Slope stability scaling laws within physically based models and their modifications under varying triggering conditions (Contributo in atti di convegno) (literal)
- Anno
- 2015-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-319-09300-0_102 (literal)
- Alternative label
Alvioli M., Rossi M., Guzzetti F. (2015)
Slope stability scaling laws within physically based models and their modifications under varying triggering conditions
in IAEG XII, Torino, 15-19 Settembre, 2013
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Alvioli M., Rossi M., Guzzetti F. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.springer.com/chapter/10.1007/978-3-319-09300-0_102 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica,
via Madonna Alta 126, I-06128 Perugia, Italy (literal)
- Titolo
- Slope stability scaling laws within physically based models and their modifications under varying triggering conditions (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-319-09299-7 (literal)
- Abstract
- The appearance of scaling phenomena in rainfall-induced landslides has been observed by several
authors, and discussed within variuos theoretical models. A few properties of landslides are known
to exhibit a power-law functional dependence, as shown by a number of world-wide datasets,
which is often interpreted as a signature of the occurrence of self-organized criticality. We show
that the adoption of a complex, physically motivated model for rainfall infiltration and slope
stability can reproduce fairly well the observations over a wide range of rainfall durations and
intensities, accounting for most of the features exhibited by the datasets in a natural way. Namely,
we reproduce within our approach the observed functional dependencies and the slope of the
scaling laws of intensity-duration triggering thresholds for shallow landslides, and the observed
distribution of landslide sizes. Our approach thus represent a substantial improvement with respect
to simulations performed within simple models where the complexity of the problem is reduced to
very few degrees of freedom. No attempt was made of fine-tuning the large number of physical
parameters characterizing the soil, whose unknown values practically prevent the application of the
model itself as a predicting framework. We conclude that our results corroborate the robustness
of the adopted model, which for the first time is applied over a very large study area partitioned
in many sub-basins, and suggest that it represent a valuable tool to be used in conjunction with
existing statistical approaches for the assessment of the risk associated with the stability of slopes
subject to substantial rainfall activity. Focusing on the intensity/duration dependence of rainfall
thresholds for triggering shallow landslides, we analyze the response of the various sub-basins
for different triggering conditions, and infer the response of the systems under different climatic
scenarios. (literal)
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