SPARK – A Bushfire Spread Prediction Tool - Environmental Software Systems. Infrastructures, Services and Applications Access content directly
Conference Papers Year : 2015

SPARK – A Bushfire Spread Prediction Tool

Claire Miller
  • Function : Author
  • PersonId : 983267
James Hilton
  • Function : Author
  • PersonId : 983268
Andrew Sullivan
  • Function : Author
  • PersonId : 983269
Mahesh Prakash
  • Function : Author
  • PersonId : 983270

Abstract

Bushfires are complex processes, making it difficult to accurately predict their rate of spread. We present an integrated software system for bushfire spread prediction, SPARK, which was developed with the functionality to model some of these complexities. SPARK uses a level set method governed by a user-defined algebraic spread rate to model fire propagation. The model is run within a modular workflow-based software environment. Implementation of SPARK is demonstrated for two cases: a small-scale experimental fire and a complex bushfire scenario. In the second case, the complexity of environmental non-homogeneity is explored through the inclusion of local variation in fuel and wind. Simulations over multiple runs with this fuel and wind variation are aggregated to produce a probability map of fire spread over a given time period. The model output has potential to be used operationally for real-time fire spread modeling, or by decision makers predicting risk from bushfire events.
Fichier principal
Vignette du fichier
978-3-319-15994-2_26_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01328559 , version 1 (08-06-2016)

Licence

Attribution

Identifiers

Cite

Claire Miller, James Hilton, Andrew Sullivan, Mahesh Prakash. SPARK – A Bushfire Spread Prediction Tool. 11th International Symposium on Environmental Software Systems (ISESS), Mar 2015, Melbourne, Australia. pp.262-271, ⟨10.1007/978-3-319-15994-2_26⟩. ⟨hal-01328559⟩
42 View
360 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More