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dc.contributor.author
Tonini, Marj
dc.contributor.author
Pedrazzini, Andrea
dc.contributor.author
Penna, Ivanna Marina
dc.contributor.author
Jaboyedoff, Michel
dc.date.available
2017-01-17T17:48:24Z
dc.date.issued
2013-01
dc.identifier.citation
Tonini, Marj; Pedrazzini, Andrea; Penna, Ivanna Marina; Jaboyedoff, Michel; Spatial pattern of landslides in Swiss Rhone Valley; Springer; Natural Hazards; 73; 1; 1-2013; 97–110
dc.identifier.issn
0921-030X
dc.identifier.uri
http://hdl.handle.net/11336/11472
dc.description.abstract
The present study analyses the spatial pattern of quaternary gravitational slope deformations (GSD) and historical/present-day instabilities (HPI) inventoried in the Swiss Rhone Valley. The main objective is to test if these events are clustered (spatial attraction) or randomly distributed (spatial independency).Moreover, analogies with the cluster behaviour of earthquakes inventoried in the same area were examined. The Ripley's K-function was applied to measure and test for randomness. This indicator allows describing the spatial pattern of a point process at increasing distance values. To account for the non-constant intensity of the geological phenomena, a modification of the K-function for inhomogeneous point processes was adopted. The specific goal is to explore the spatial attraction (i.e. cluster behaviour) among landslide events and between gravitational slope deformations and earthquakes. To discover if the two classes of instabilities (GSD and HPI) are spatially independently distributed, the cross K-function was computed. The results show that all the geological events under study are spatially clustered at a well-defined distance range. GSD and HPI show a similar pattern distribution with clusters in the range 0.75-9 km. The cross K-function reveals an attraction between the two classes of instabilities in the range 0-4 km confirming thatHPI are more prone to occur within large-scale slope deformations. The K-function computed for GSD and earthquakes indicates that both present a cluster tendency in the range 0-10 km, suggesting that earthquakes could represent a potential predisposing factor which could influence the GSD distribution.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Ripley'S K-Function
dc.subject
Landslide
dc.subject
Cluster
dc.subject
Spatial Pattern
dc.subject.classification
Geología
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Spatial pattern of landslides in Swiss Rhone Valley
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-12-12T21:06:30Z
dc.journal.volume
73
dc.journal.number
1
dc.journal.pagination
97–110
dc.journal.pais
Alemania
dc.journal.ciudad
Berlin
dc.description.fil
Fil: Tonini, Marj. Universite de Lausanne; Suiza
dc.description.fil
Fil: Pedrazzini, Andrea. Universite de Lausanne; Suiza
dc.description.fil
Fil: Penna, Ivanna Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Estudios Andinos; Argentina. Universite de Lausanne; Suiza
dc.description.fil
Fil: Jaboyedoff, Michel. Universite de Lausanne; Suiza
dc.journal.title
Natural Hazards
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s11069-012-0522-9
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s11069-012-0522-9
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