Spatial pattern of landslides in Swiss Rhone valley

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Serval ID
serval:BIB_D1E6ACD4EBED
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Spatial pattern of landslides in Swiss Rhone valley
Journal
Natural Hazards
Author(s)
Tonini M., Pedrazzini A., Penna I., Jaboyedoff M.
ISSN-L
1573-0840
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
73
Pages
97-110
Language
english
Notes
Tonini2013a
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
that HPI 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.
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25/11/2013 18:23
Last modification date
09/09/2021 7:14
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