A Data-driven Model for Large Wildfire Behaviour Prediction in Europe

The European Forest Fire Information System (EFFIS) has been established by the Joint Research Centre (JRC) and the Directorate General for Environment (DG ENV) of the European Commission (EC) in close collaboration with the Member States and neighbour countries. EFFIS is intended as complementary s...

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Published in:Procedia computer science Vol. 18; pp. 1861 - 1870
Main Authors: Rodriguez-Aseretto, Dario, de Rigo, Daniele, Di Leo, Margherita, Cortés, Ana, San-Miguel-Ayanz, Jesús
Format: Journal Article
Language:English
Published: Elsevier B.V 2013
Subjects:
Approximate Dynamic Programming
Dynamic Data Driven Application Systems
Forest Fires
Partial Open Loop Feedback Control
Semantic Array Programming
Semantic Array Programming
Forest Fires
Partial Open Loop Feedback Control
Approximate Dynamic Programming
Dynamic Data Driven Application Systems
ISSN:1877-0509, 1877-0509
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Abstract The European Forest Fire Information System (EFFIS) has been established by the Joint Research Centre (JRC) and the Directorate General for Environment (DG ENV) of the European Commission (EC) in close collaboration with the Member States and neighbour countries. EFFIS is intended as complementary system to national and regional systems in the countries, providing harmonised information required for international collaboration on forest fire prevention and fighting and in cases of trans-boundary fire events. However, one missing component in the system is a wildfire behaviour model able to cover the whole Europe. We propose a new general conceptualisation for wildfire prediction. It relies on an array-based and semantically enhanced (Semantic Array Programming) application of the Dynamic Data Driven Application Systems (DDDAS) concept, so as to predict spread of large fires at European level. The proposed mathematical framework is designed to simulate with an ensemble strategy the wildfire dynamics under given sequences of actions for controlling the fire spread and updated data- driven information. First results on data and software uncertainties associated with the problem have been presented with a real case study in Spain.
AbstractList The European Forest Fire Information System (EFFIS) has been established by the Joint Research Centre (JRC) and the Directorate General for Environment (DG ENV) of the European Commission (EC) in close collaboration with the Member States and neighbour countries. EFFIS is intended as complementary system to national and regional systems in the countries, providing harmonised information required for international collaboration on forest fire prevention and fighting and in cases of trans-boundary fire events. However, one missing component in the system is a wildfire behaviour model able to cover the whole Europe. We propose a new general conceptualisation for wildfire prediction. It relies on an array-based and semantically enhanced (Semantic Array Programming) application of the Dynamic Data Driven Application Systems (DDDAS) concept, so as to predict spread of large fires at European level. The proposed mathematical framework is designed to simulate with an ensemble strategy the wildfire dynamics under given sequences of actions for controlling the fire spread and updated data- driven information. First results on data and software uncertainties associated with the problem have been presented with a real case study in Spain.
Author Cortés, Ana
San-Miguel-Ayanz, Jesús
Di Leo, Margherita
Rodriguez-Aseretto, Dario
de Rigo, Daniele
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  surname: Rodriguez-Aseretto
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  email: dario.rodriguez@jrc.ec.europa.eu
  organization: European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, I-21027 Ispra (VA), Italy
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  givenname: Daniele
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  givenname: Ana
  surname: Cortés
  fullname: Cortés, Ana
  organization: Universitat Autonoma de Barcelona, Computer Architecture and Operating Systems, Campus Bellaterra, Cerdanyola 08193, Spain
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  givenname: Jesús
  surname: San-Miguel-Ayanz
  fullname: San-Miguel-Ayanz, Jesús
  organization: European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, I-21027 Ispra (VA), Italy
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Keywords Semantic Array Programming
Forest Fires
Partial Open Loop Feedback Control
Approximate Dynamic Programming
Dynamic Data Driven Application Systems
Language English
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Snippet The European Forest Fire Information System (EFFIS) has been established by the Joint Research Centre (JRC) and the Directorate General for Environment (DG...
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SubjectTerms Approximate Dynamic Programming
Dynamic Data Driven Application Systems
Forest Fires
Partial Open Loop Feedback Control
Semantic Array Programming
Title A Data-driven Model for Large Wildfire Behaviour Prediction in Europe
URI https://dx.doi.org/10.1016/j.procs.2013.05.355
Volume 18
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