Abstract
Anyone who has tried lighting a campfire on a windy day can appreciate how difficult it could be. However, despite real-life experience and despite laboratory experiments which have demonstrated that fire ignition risk dramatically decreases beyond a certain wind threshold, current fire weather indices (FWIs) do not take this effect into account and assume a monotonic relation between wind velocity and ignition risk. In this paper, we perform a global analysis which empirically quantifies the probability of ignition as a function of wind velocity. Using both traditional methods (a logistic regression and a generalized additive model) and machine learning techniques, we find that beyond a threshold of approximately 3–4 m/s, the ignition risk substantially decreases. The effect holds when accounting for additional factors such as temperature and relative humidity. We recommend updating FWIs to account for this issue.
| Original language | English |
|---|---|
| Article number | 338 |
| Journal | Fire |
| Volume | 6 |
| Issue number | 9 |
| DOIs | |
| State | Published - Sep 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
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SDG 15 Life on Land
Keywords
- fire weather indices
- forest management
- machine learning
- wind velocity
All Science Journal Classification (ASJC) codes
- Forestry
- Building and Construction
- Safety, Risk, Reliability and Quality
- Environmental Science (miscellaneous)
- Safety Research
- Earth and Planetary Sciences (miscellaneous)
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