IDEAS home Printed from https://ideas.repec.org/a/gam/jchals/v9y2018i1p12-d136467.html
   My bibliography  Save this article

Cold Climate Structural Fire Danger Rating System?

Author

Listed:
  • Maria-Monika Metallinou

    (Department of Engineering, Western Norway University of Applied Sciences, 5528 Haugesund, Norway)

  • Torgrim Log

    (Department of Engineering, Western Norway University of Applied Sciences, 5528 Haugesund, Norway)

Abstract

Worldwide, fires kill 300,000 people every year. The fire season is usually recognized to be in the warmer periods of the year. Recent research has, however, demonstrated that the colder season also has major challenges regarding severe fires, especially in inhabited (heated) wood-based structures in cold-climate areas. Knowledge about the effect of dry cellulose-based materials on fire development, indoor and outdoor, is a motivation for monitoring possible changes in potential fire behavior and associated fire risk. The effect of wind in spreading fires to neighboring structures points towards using weather forecasts as information on potential fire spread behavior. As modern weather forecasts include temperature and relative humidity predictions, there may already be sufficient information available to develop a structural fire danger rating system. Such a system may include the following steps: (1) Record weather forecasts and actual temperature and relative humidity inside and outside selected structures; (2) Develop a meteorology-data-based model to predict indoor relative humidity levels; (3) Perform controlled drying chamber experiments involving typical hygroscopic fire fuel; (4) Compare the results to the recorded values in selected structures; and (5) Develop the risk model involving the results from drying chamber experiments, weather forecasts, and separation between structures. Knowledge about the structures at risk and their use is also important. The benefits of an automated fire danger rating system would be that the society can better plan for potentially severe cold-climate fires and thereby limit the negative impacts of such fires.

Suggested Citation

  • Maria-Monika Metallinou & Torgrim Log, 2018. "Cold Climate Structural Fire Danger Rating System?," Challenges, MDPI, vol. 9(1), pages 1-15, March.
  • Handle: RePEc:gam:jchals:v:9:y:2018:i:1:p:12-:d:136467
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2078-1547/9/1/12/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2078-1547/9/1/12/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mario Mhawej & Ghaleb Faour & Jocelyne Adjizian-Gerard, 2015. "Wildfire Likelihood’s Elements: A Literature Review," Challenges, MDPI, vol. 6(2), pages 1-12, December.
    2. Jones-Lee, M. & Aven, T., 2011. "ALARP—What does it really mean?," Reliability Engineering and System Safety, Elsevier, vol. 96(8), pages 877-882.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moura Carneiro, F.O. & Barbosa Rocha, H.H. & Costa Rocha, P.A., 2013. "Investigation of possible societal risk associated with wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 30-36.
    2. Sujan, Mark A. & Habli, Ibrahim & Kelly, Tim P. & Gühnemann, Astrid & Pozzi, Simone & Johnson, Christopher W., 2017. "How can health care organisations make and justify decisions about risk reduction? Lessons from a cross-industry review and a health care stakeholder consensus development process," Reliability Engineering and System Safety, Elsevier, vol. 161(C), pages 1-11.
    3. Polash Banerjee, 2022. "MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 899-935, January.
    4. Aven, Terje, 2019. "The cautionary principle in risk management: Foundation and practical use," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    5. Patrik Baard, 2016. "Risk-reducing goals: ideals and abilities when managing complex environmental risks," Journal of Risk Research, Taylor & Francis Journals, vol. 19(2), pages 164-180, February.
    6. Baïle, Rachel & Muzy, Jean-François & Silvani, Xavier, 2021. "Multifractal point processes and the spatial distribution of wildfires in French Mediterranean regions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    7. Antonio Nesticò & Shuquan He & Gianluigi De Mare & Renato Benintendi & Gabriella Maselli, 2018. "The ALARP Principle in the Cost-Benefit Analysis for the Acceptability of Investment Risk," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
    8. Aven, Terje, 2016. "Risk assessment and risk management: Review of recent advances on their foundation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 1-13.
    9. Naderpour, Mohsen & Rizeei, Hossein Mojaddadi & Khakzad, Nima & Pradhan, Biswajeet, 2019. "Forest fire induced Natech risk assessment: A survey of geospatial technologies," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jchals:v:9:y:2018:i:1:p:12-:d:136467. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.