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Fire Risk Modeling Using Artificial Neural Networks

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EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization (EngOpt 2018)

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Abstract

Forest fires cause many changes in environment and in climate, becoming a huge concern related with environment, as your prevention and control. The fire risk calculation supports the planning of activities to prevent forest fire, as it determines the probability of fire occurrence in certain place. This article has the aim of mapping fire risk areas of Belo Horizonte, one of the most populous cities from Brazil, located in the Minas Gerais State, in the Southeast Region of Brazil. The proposed modeling is to create an artificial neural network with supervised training. A neural network to do the prediction of most propitious fire areas is expected, where it can be introduced the input variables at any period that desire to be determined. This estimate will provide the outline of priority areas for prevention activities and allocation of brigade teams, seeking to minimize possible damages caused by fires.

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Author information

Authors and Affiliations

  1. Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, 31270-901, Brazil

    Luiza Cintra Fernandes, Marcelo Antonio Nero & Plínio da Costa Temba

  2. Nacional Institute for Space Research (INPE), S.J. Campos, SP, 1227-010, Brazil

    Rosangela S. C. Cintra

Authors
  1. Luiza Cintra Fernandes
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  2. Rosangela S. C. Cintra
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  3. Marcelo Antonio Nero
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  4. Plínio da Costa Temba
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Corresponding author

Correspondence to Luiza Cintra Fernandes .

Editor information

Editors and Affiliations

  1. Mechanical Engineering Department, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal

    H.C. Rodrigues

  2. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    J. Herskovits

  3. Instituto Superior Tecnico, University of Lisbon, Lisbon, Portugal

    C.M. Mota Soares

  4. Instituto Superior Tecnico, University of Lisbon, Lisbon, Portugal

    A.L. Araújo

  5. Instituto Superior Tecnico, University of Lisbon, Lisbon, Portugal

    J.M. Guedes

  6. Instituto Superior Tecnico, University of Lisbon, Lisbon, Portugal

    J.O. Folgado

  7. Instituto Superior Tecnico, University of Lisbon, Lisbon, Portugal

    F. Moleiro

  8. IST, IDMEC – Instituto de Engenharia Mecânica, Lisbon, Portugal

    J. F. A. Madeira

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Fernandes, L.C., Cintra, R.S.C., Nero, M.A., da Costa Temba, P. (2019). Fire Risk Modeling Using Artificial Neural Networks. In: Rodrigues, H., et al. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-97773-7_81

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  • DOI: https://doi.org/10.1007/978-3-319-97773-7_81

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97772-0

  • Online ISBN: 978-3-319-97773-7

  • eBook Packages: EngineeringEngineering (R0)

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