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Assessing the Effect of Mitigation Measures on Landslide Hazard Using 2D Numerical Runout Modelling

Authors :
Hussin, Y.A.
Ciurean, R.
Frigerio, S.
Marcato, G.
Calligaris, C.
Reichenbach, P.
van Westen, C.J.
Glade, T.
Sassa, K.
Canuti, P.
Yin, Y.
Department of Natural Resources
UT-I-ITC-FORAGES
Faculty of Geo-Information Science and Earth Observation
Department of Earth Systems Analysis
UT-I-ITC-4DEarth
Edited by Kyoji Sassa, Paolo Canuti, Yueping Yin
Hussin, Haydar Y.
Ciurean, Roxana
Frigerio, Simone
Marcato, Gianluca
Calligaris, Chiara
Reichenbach, Paola
van Westen, Cee
Glade, Thomas
Source :
Landslide Science for a Safer Geoenvironment ISBN: 9783319050492, 3 World Landslide Forum, Beijing, China, June 2~6, 2014, info:cnr-pdr/source/autori:Haydar Y. Hussin, Roxana Ciurean, Simone Frigerio, Gianluca Marcato, Chiara Calligaris, Paola Reichenbach, Cees van Westen, and Thomas Glade/congresso_nome:3 World Landslide Forum/congresso_luogo:Beijing, China/congresso_data:June 2~6, 2014/anno:2014/pagina_da:/pagina_a:/intervallo_pagine, Landslide science for a safer geoenvironment, 679-684, STARTPAGE=679;ENDPAGE=684;TITLE=Landslide science for a safer geoenvironment
Publication Year :
2014
Publisher :
Springer International Publishing, 2014.

Abstract

Landslide mitigation measures are used to reduce the risk affecting mountain communities. The quantitative estimation of the change or reduction in risk, after implementing mitigation measures, requires modeling of past events and the forward prediction of possible future occurences. However, the forward-prediction of landslide hazard is subjected to uncertainties due to the lack of knowledge on some key aspects like the possible source volume that can be triggered and model parameters that determine the landslide runout. In this study, a back-analysis of a debris flow event was carried out using MassMov2D to create a set of parameter ranges for forward-predicting runouts with mitigation measures. We approached the issue of uncertainty by systematically sampling parameters from wide ranges and running hundreds of different runout scenarios. Simulations from back-analysis were compared with the forward-predicted models to determine changes in the spread and intensity of debris flows affecting elements at risk (e.g. houses and roads). This study is a first step towards a quantitative risk assessment (QRA) being carried out within the EC FP-7 funded CHANGES network (Grant Agreement No. 263953).

Details

ISBN :
978-3-319-05049-2
ISBNs :
9783319050492
Database :
OpenAIRE
Journal :
Landslide Science for a Safer Geoenvironment ISBN: 9783319050492, 3 World Landslide Forum, Beijing, China, June 2~6, 2014, info:cnr-pdr/source/autori:Haydar Y. Hussin, Roxana Ciurean, Simone Frigerio, Gianluca Marcato, Chiara Calligaris, Paola Reichenbach, Cees van Westen, and Thomas Glade/congresso_nome:3 World Landslide Forum/congresso_luogo:Beijing, China/congresso_data:June 2~6, 2014/anno:2014/pagina_da:/pagina_a:/intervallo_pagine, Landslide science for a safer geoenvironment, 679-684, STARTPAGE=679;ENDPAGE=684;TITLE=Landslide science for a safer geoenvironment
Accession number :
edsair.doi.dedup.....38477b39f89ae40fac07d0d1291c6ce0
Full Text :
https://doi.org/10.1007/978-3-319-05050-8_105