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Nov, 2023
通过机器学习技术探索和分析野火数据
Exploring and Analyzing Wildland Fire Data Via Machine Learning Techniques
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Dipak Dulal, Joseph J. Charney, Michael Gallagher, Carmeliza Navasca, Nicholas Skowronski
TL;DR
通过使用热电偶温度作为预测因子,机器学习模型成功地估计了来自野外火灾的湍流动能,并揭示了细粒度的火灾行为与湍流之间的复杂关系,从而为火灾研究和管理实践的改进提供了潜力。
Abstract
This research project investigated the correlation between a 10 Hz time series of
thermocouple temperatures
and
turbulent kinetic energy
(TKE) computed from wind speeds collected from a small experimental prescri
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