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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