Title
Assessing physical vulnerability in large cities exposed to flash floods and debris flows: The case of Arequipa (Peru)
Date Issued
01 January 2014
Access level
metadata only access
Resource Type
journal article
Author(s)
Thouret J.C.
Ettinger S.
Guitton M.
Santoni O.
Magill C.
Martelli K.
Zuccaro G.
Arguedas A.
Inka Building Group, Arequipa
Inka Building Group, Arequipa
Publisher(s)
Kluwer Academic Publishers
Abstract
Understanding the physical vulnerability of buildings and infrastructure to natural hazards is an essential step in risk assessment for large cities. We have interpreted high spatial resolution images, conducted field surveys, and utilized numerical simulations, in order to assess vulnerability across Arequipa, south Peru, close to the active El Misti volcano. The emphasis of this study was on flash floods and volcanic or non-volcanic hyperconcentrated flows, which recur on average every 3.5 years across the city. We utilized a geographic information system to embed vulnerability and hazard maps as a step to calculate risk for buildings and bridges along the Río Chili valley and two tributaries. A survey of ~1,000 buildings from 46 city blocks, different in age, construction materials, and land usage, provided architectural and structural characteristics. A similar survey of twenty bridges across the three valleys was based on structural, hydraulic, and strategic parameters. Interpretation of high spatial resolution (HSR) satellite images, which allows for quick identification of approximately 69 % of the structural building types, effectively supplemented field data collection. Mapping vulnerability has led us to pinpoint strategic areas in case of future destructive floods or flows. Calculated vulnerability is high if we examine structural criteria alone. We further consider physical setting with the most vulnerable city blocks located on the lowermost terraces, perpendicular or oblique to the flow path. Statistical analysis conducted on 3,015 city blocks, considering nine criteria identified from HSR images, indicated that building-type heterogeneity and the shape of the city blocks, along with building and street network density, are the most discriminant parameters for assessing vulnerability. © 2014 Springer Science+Business Media Dordrecht.
Start page
1771
End page
1815
Volume
73
Issue
3
Language
English
OCDE Knowledge area
Meteorología y ciencias atmosféricas Geología Ingeniería civil
Scopus EID
2-s2.0-84905694901
Source
Natural Hazards
ISSN of the container
0921030X
DOI of the container
10.1007/s11069-014-1172-x
Source funding
Agence Nationale de la Recherche
Sponsor(s)
RISK September Acknowledgments This article received the support from the French National Research Agency within the project ‘‘Laharisk’’(ANR
Sources of information: Directorio de Producción Científica Scopus