Title :

Modelling the spatio-temporal repartition of right-truncated data: an application to avalanche runout altitudes in Hautes-Savoie

Author(s) :

Lavigne, Aurore [Auteur]
Lille économie management - UMR 9221 [LEM]
Eckert, Nicolas [Auteur]
Erosion torrentielle neige et avalanches [UR ETGR (ETNA)]
Bel, Liliane [Auteur]
Mathématiques et Informatique Appliquées [MIA-Paris]
Deschâtres, Michaël [Auteur]
Erosion torrentielle neige et avalanches [UR ETGR (ETNA)]
Parent, Éric [Auteur]
Mathématiques et Informatique Appliquées [MIA-Paris]

Journal title :

Stochastic Environmental Research and Risk Assessment

Pages :

629–644

Publisher :

Springer Verlag (Germany)

Publication date :

2017

ISSN :

1436-3240

English keyword(s) :

snow avalanche
Bayesian hierarchical model
geostatistic
truncated data

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

In this paper, we propose a novel approach for generating avalanche hazard maps based on the spatial dependence of avalanche runout altitudes. The right-truncated data are described with a Bayesian hierarchical model in ...
Show more >In this paper, we propose a novel approach for generating avalanche hazard maps based on the spatial dependence of avalanche runout altitudes. The right-truncated data are described with a Bayesian hierarchical model in which the spatio-temporal process is assumed to be the sum of independent spatial and temporal terms. Topography is roughly taken into account according to valley altitude and path exposition, and the spatial dependence is modelled with a Matérn covariance function. An application is performed to the Haute-Savoie region, French Alps. A spatial dependence in runout altitudes is identified, and an effective range of about 10 km is inferred. The temporal trend extracted highlights the increase of avalanche runout altitudes from 1955, attributed to both anthropogenic factors and climate warming. In a cross validation scheme, spatial predictions are provided on undocumented paths using kriging equations. All in all, although our model is unable to take into account small topographic features, it is a first-ever approach that produces very encouraging results. It could be enhanced in future work by incorporating a numerical physically-based code into the modelling.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Non spécifiée

Popular science :

Non

Comment :

[Departement_IRSTEA]Eaux [TR1_IRSTEA]RIVAGE

Collections :

• Lille Économie Management (LEM) - UMR 9221

Source :

Harvested from HAL