Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1567-2019
https://doi.org/10.5194/hess-23-1567-2019
Technical note
 | 
18 Mar 2019
Technical note |  | 18 Mar 2019

Technical note: Laboratory modelling of urban flooding: strengths and challenges of distorted scale models

Xuefang Li, Sébastien Erpicum, Martin Bruwier, Emmanuel Mignot, Pascal Finaud-Guyot, Pierre Archambeau, Michel Pirotton, and Benjamin Dewals

Viewed

Total article views: 2,869 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,898 911 60 2,869 343 74 76
  • HTML: 1,898
  • PDF: 911
  • XML: 60
  • Total: 2,869
  • Supplement: 343
  • BibTeX: 74
  • EndNote: 76
Views and downloads (calculated since 23 Oct 2018)
Cumulative views and downloads (calculated since 23 Oct 2018)

Viewed (geographical distribution)

Total article views: 2,869 (including HTML, PDF, and XML) Thereof 2,614 with geography defined and 255 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
With a growing urban flood risk worldwide, flood risk management tools need to be validated against reference data. Field and remote-sensing observations provide valuable data on inundation extent and depth but virtually no information on flow velocity. Laboratory scale models have the potential to deliver complementary data, provided that the model scaling is performed carefully. In this paper, we reanalyse existing laboratory data to discuss challenges related to the scaling of urban floods.