Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3261-2020
https://doi.org/10.5194/nhess-20-3261-2020
Research article
 | 
03 Dec 2020
Research article |  | 03 Dec 2020

Forecasting flood hazards in real time: a surrogate model for hydrometeorological events in an Andean watershed

María Teresa Contreras, Jorge Gironás, and Cristián Escauriaza

Viewed

Total article views: 4,545 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,721 759 65 4,545 67 58
  • HTML: 3,721
  • PDF: 759
  • XML: 65
  • Total: 4,545
  • BibTeX: 67
  • EndNote: 58
Views and downloads (calculated since 03 Feb 2020)
Cumulative views and downloads (calculated since 03 Feb 2020)

Viewed (geographical distribution)

Total article views: 4,545 (including HTML, PDF, and XML) Thereof 4,222 with geography defined and 323 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Short summary
The prediction of multiple scenarios of flood hazard in mountain regions is typically based on expensive high-resolution models that simulate the flood propagation using significant computational resources. In this investigation we develop a surrogate model that provides a rapid evaluation of the flood hazard using a statistical approach and precomputed scenarios. This surrogate model is an advanced tool that can be used for early warning systems and to help decision makers and city planners.
Altmetrics
Final-revised paper
Preprint