Flame-Front Rate of Spread Estimates for Moderate Scale Experimental Fires Are Strongly Influenced by Measurement Approach

Flame-Front Rate of Spread Estimates for Moderate Scale Experimental Fires Are Strongly Influenced by Measurement Approach
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DOI:
10.3390/fire1010016
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发表时间:
2018-06-01
期刊:
影响因子:
3.2
通讯作者:
DeBoer, Kaitlin A.
DeBoer, Kaitlin A.
中科院分区:
农林科学3区
文献类型:
--
作者:
Johnston, Joshua M.;Wheatley, Melanie J.;DeBoer, Kaitlin A.

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了解野火蔓延率(RoS)通常是许多火灾行为建模和测量练习的关键目标。使用仪器化的中等规模的实验室烧伤,我们提供了八种不同的方法的火焰前RoS测定,包括可见光图像(维斯)分析技术,使用热电偶阵列,和四个热红外(IR)图像分析方法的评估。我们能够(1)确定测量方法如何影响推导出的RoS,以及(2)推荐最佳方法来重现公认的标准(热电偶网格阵列测量)RoS,而无需地面采样。我们发现,推导出的RoS是统计上显着的测量方法的影响,并未能充分考虑方向性的RoS可能会导致显着的错误。我们确定了一种热红外成像方法(在Paugam等人2013中描述),作为最适合在这些测量尺度下提供扩散速率和方向的方法。
Understanding wildfire rate of spread (RoS) is often a key objective of many fire behavior modelling and measurement exercises. Using instrumented moderate scale laboratory burns we provide an assessment of eight different methods of flame front RoS determination, including visible imagery (VIS) analysis techniques, use of thermocouple arrays, and four thermal infrared (IR) image analysis approaches. We are able to (1) determine how measurement approach influences derived RoS, and (2) recommend the best method to reproduce the accepted standard (Thermocouple Grid Array measurement) RoS without ground sampling. We find that derived RoS is statistically significantly influenced by the measurement approach, and that failing to fully account for directionality of the RoS may result in significant error. We identify one of the thermal infrared imaging methods (described in Paugam et al. 2013), as the most appropriate for providing rate and direction of spread at these scales of measurement.