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Applicability analysis of flame height estimation based on Byram's fireline intensity model under flat and windless
Yunlin Zhang1,2, Aixia Luo3
1School of Biological, Guizhou Education University, Gaoxin St. 115, Guiyang, 550018, China. zhangyunlin@gznc.edu.cn.
Flame height in Yunnan-Guizhou Plateau forests is influenced by fuel moisture, load, and height. Modified models accurately predict flame height, improving forest fire management.
Area of Science:
- Forestry Science
- Fire Ecology
- Environmental Science
Background:
- Forest fires pose significant risks to ecosystems and human safety.
- Flame height is a key indicator of forest fire behavior and crucial for management.
- Byram's model for flame height estimation is widely used but its applicability in specific regions is unverified.
Purpose of the Study:
- To assess the applicability of Byram's flame height model to surface fuels in China's Yunnan-Guizhou Plateau.
- To analyze the impact of fuel bed characteristics on flame height in this region.
- To develop and propose accurate models for predicting surface fire flame height.
Main Methods:
- Conducted indoor burning experiments on surface fuels from typical Yunnan-Guizhou Plateau forest stands.
- Measured flame height under varying fuel bed characteristics (moisture, load, height).
- Evaluated three models: direct Byram's model, a corrected model, and a re-established prediction model.
Main Results:
- Flame heights ranged from 0.05 to 1.2 m, significantly influenced by fuel moisture, load, and height.
- Direct application of Byram's model yielded a mean prediction error exceeding 150%.
- Modified Byram's method and a fuel-characteristic-based model achieved mean relative errors within 15%.
Conclusions:
- Directly using Byram's model is impractical for predicting surface fire flame height in the Yunnan-Guizhou Plateau.
- Modified and re-established models offer significantly improved accuracy for flame height prediction.
- The study provides two effective methods for predicting surface fire flame height, aiding scientific forest fire management in the region.
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