Natural Hazards

, Volume 87, Issue 1, pp 383–394 | Cite as

Use of LSPIV in assessing urban flash flood vulnerability

  • Nicolás Federico GuillénEmail author
  • Antoine Patalano
  • Carlos Marcelo García
  • Juan Carlos Bertoni
Original Paper


The probability of the occurrence of urban flash floods has increased appreciably in recent years. Scientists have published various articles related to the estimation of the vulnerability of people and vehicles in urban areas resulting from flash floods. However, most published works are based on research performed using numerical models and laboratory experiments. This paper presents a novel approach that combines the implementation of image velocimetry technique (large-scale particle image velocimetry—LSPIV) using a flash flood video recorded by the public locally and the estimation of the vulnerability of people and vehicles to high water velocities in urban areas. A numerical one‐dimensional hydrodynamic model has also been used in this approach for water velocity characterization. The results presented in this paper correspond to a flash flood resulting on November 29, 2012, in the city of Asunción in Paraguay. During this flash flood, people and vehicles were observed being carried away because of high water velocities. Various sequences of the recorded flash flood video were characterized using LSPIV. The results obtained in this work validate the existing vulnerability criterion based on the effect of the flash flood and resulting high water velocities on people and vehicles.


LSPIV Surface water velocity measurement Urban floods Experimental techniques 



Large-scale particle image velocimetry



The authors acknowledge Angel M. Martin, Jr., USGS retired, for his technical edit and constructive comments on the manuscript; Kevin A. Oberg, USGS—Office of Surface Water, for helping in the final edition of this work; and two anonymous reviewers provided useful comments and suggestions for improving the manuscript.


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Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  • Nicolás Federico Guillén
    • 1
    Email author
  • Antoine Patalano
    • 1
  • Carlos Marcelo García
    • 1
  • Juan Carlos Bertoni
    • 1
  1. 1.Institute for Advanced Studies for Engineering and Technology (IDIT CONICET/UNC), CETA–FCEFyNUniversidad Nacional de CórdobaCórdobaArgentina

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