Regional-scale debris-flow risk assessment for an alpine valley

Details

Serval ID
serval:BIB_49C33DB28791
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Regional-scale debris-flow risk assessment for an alpine valley
Title of the conference
5th International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment
Author(s)
Lari S., Crosta G.B., Frattini P., Horton P., Jaboyedoff M.
Publisher
Casa Editrice Università La Sapienza
Organization
Università La Sapienza
Publication state
Published
Issued date
2011
Editor
Genevois R., Hamilton D.L., Prestininzi A.
Pages
933-940
Language
english
Notes
Lari2011
Abstract
In this paper, we perform a societal and economic risk assessment
for debris flows at the regional scale, for lower Valtellina, Northern
Italy. We apply a simple empirical debris-flow model, FLOW-R, which
couples a probabilistic flow routing algorithm with an energy line
approach, providing the relative probability of transit, and the
maximum kinetic energy, for each cell. By assessing a vulnerability
to people and to other exposed elements (buildings, public facilities,
crops, woods, communication lines), and their economic value, we
calculated the expected annual losses both in terms of lives (societal
risk) and goods (direct economic risk). For societal risk assessment,
we distinguish for the day and night scenarios. The distribution
of people at different moments of the day was considered, accounting
for the occupational and recreational activities, to provide a more
realistic assessment of risk. Market studies were performed in order
to assess a realistic economic value to goods, structures, and lifelines.
As terrain unit, a 20 m x 20 m cell was used, in accordance with
data availability and the spatial resolution requested for a risk
assessment at this scale. Societal risk the whole area amounts to
1.98 and 4.22 deaths/year for the day and the night scenarios, respectively,
with a maximum of 0.013 deaths/year/cell. Economic risk for goods
amounts to 1,760,291 ?/year, with a maximum of 13,814 ?/year/cell.
Keywords
Economic risk, societal risk, regional scale risk assessment, debris, flow modelling
Create date
25/11/2013 17:26
Last modification date
20/08/2019 14:57
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