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Assessing physical vulnerability in large cities exposed to flash floods and debris flows: the case of Arequipa (Peru)

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  • Jean-Claude Thouret
  • Susanne Ettinger
  • Mathieu Guitton
  • Olivier Santoni
  • Christina Magill
  • Kim Martelli
  • Giulio Zuccaro
  • Victor Revilla
  • Juan Charca
  • Anita Arguedas

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. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Jean-Claude Thouret & Susanne Ettinger & Mathieu Guitton & Olivier Santoni & Christina Magill & Kim Martelli & Giulio Zuccaro & Victor Revilla & Juan Charca & Anita Arguedas, 2014. "Assessing physical vulnerability in large cities exposed to flash floods and debris flows: the case of Arequipa (Peru)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1771-1815, September.
  • Handle: RePEc:spr:nathaz:v:73:y:2014:i:3:p:1771-1815
    DOI: 10.1007/s11069-014-1172-x
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    References listed on IDEAS

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    1. Giulio Zuccaro & Daniela Gregorio, 2013. "Time and space dependency in impact damage evaluation of a sub-Plinian eruption at Mount Vesuvius," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(3), pages 1399-1423, September.
    2. M. Pareschi & L. Cavarra & M. Favalli & F. Giannini & A. Meriggi, 2000. "GIS and Volcanic Risk Management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 21(2), pages 361-379, May.
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    Cited by:

    1. Aditi Singh & D. P. Kanungo & Shilpa Pal, 2019. "Physical vulnerability assessment of buildings exposed to landslides in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(2), pages 753-790, March.
    2. Aaron Opdyke & Desmond Chiang & Anthony Tsang & Jacob Smyth, 2022. "Benchmarking household storm surge risk perceptions to scientific models in the Philippines," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1285-1305, November.
    3. Uddhav Prasad Guragain & Philippe Doneys, 2022. "Social, Economic, Environmental, and Physical Vulnerability Assessment: An Index-Based Gender Analysis of Flood Prone Areas of Koshi River Basin in Nepal," Sustainability, MDPI, vol. 14(16), pages 1-26, August.
    4. Chipo Mudavanhu & Tawanda Manyangadze & Emmanuel Mavhura & Ezra Pedzisai & Desmond Manatsa, 2020. "Rural households’ vulnerability and risk of flooding in Mbire District, Zimbabwe," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3591-3608, September.
    5. Kerim Koc & Zeynep Işık, 2020. "A multi-agent-based model for sustainable governance of urban flood risk mitigation measures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 1079-1110, October.
    6. Edna M. Rodríguez-Gaviria & Sol Ochoa-Osorio & Alejandro Builes-Jaramillo & Verónica Botero-Fernández, 2019. "Computational Bottom-Up Vulnerability Indicator for Low-Income Flood-Prone Urban Areas," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    7. Mudassir Ali Khan & Zahiraniza Mustaffa & Indra Sati Hamonangan Harahap & Muhammad Bello Ibrahim & Mohamed Ezzat Al-Atroush, 2022. "Assessment of Physical Vulnerability and Uncertainties for Debris Flow Hazard: A Review concerning Climate Change," Land, MDPI, vol. 11(12), pages 1-22, December.

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