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Forecasting wind-driven wildfires using an inverse modelling approach

Autor
Rios, O.; Jahn, W.; Rein, G.
Tipus d'activitat
Article en revista
Revista
Natural hazards and earth system sciences
Data de publicació
2014-01-01
Volum
14
Número
6
Pàgina inicial
1491
Pàgina final
1503
DOI
https://doi.org/10.5194/nhess-14-1491-2014 Obrir en finestra nova
URL
http://www.nat-hazards-earth-syst-sci.net/14/1491/2014/nhess-14-1491-2014.html Obrir en finestra nova
Resum
A technology able to rapidly forecast wildfire dynamics would lead to a paradigm shift in the response to emergencies, providing the Fire Service with essential information about the ongoing fire. This paper presents and explores a novel methodology to forecast wildfire dynamics in wind-driven conditions, using real-time data assimilation and inverse modelling. The forecasting algorithm combines Rothermel's rate of spread theory with a perimeter expansion model based on Huygens principle and sol...
Paraules clau
Data Assimilation, Growth-model, Fire, Simulations, Fuel
Grup de recerca
CERTEC - Centre d'Estudis del Risc Tecnològic

Participants

  • Rios Rubiras, Oriol  (autor)
  • Jahn, Wolfram  (autor)
  • Rein, Guillermo  (autor)