Pre-fire and post-fire surface fuel and cover measurements collected in the south-eastern United States for model evaluation and development – RxCADRE 2008, 2011 and 2012
Pre-fire and post-fire surface fuel and cover measurements collected in the south-eastern United States for model evaluation and development – RxCADRE 2008, 2011 and 2012
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在美国东南部收集的火灾前和火灾后表面燃料和覆盖物测量数据，用于模型评估和开发 – RxCADRE 2008、2011 和 2012
DOI：
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发表时间：
2016
期刊：
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通讯作者：
R. Vihnanek
中科院分区：
文献类型：
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作者：
R. Ottmar;A. Hudak;S. Prichard;C. S. Wright;Joseph Restaino;M. Kennedy;R. Vihnanek
由于缺乏独立的、有质量保证的数据，科学家无法有效地评估土地管理者使用的火灾模型的预测和不确定性。本文总结了火灾前和火灾后的燃料，燃料水分和表面覆盖率的数据，可用于火灾模型的评估和发展。这些数据收集在美国东南部的14个森林和14个非森林样本单位与6个小型重复和10个大型操作规定的火灾在2008年，2011年和2012年进行的规定的火灾燃烧和大气动力学研究实验（RxCADRE）的一部分。在森林单位和3.0和2.2 Mg ha-1的非森林单位中，燃料负载和燃料消耗平均分别为6.8和4.1 Mg ha-1。火灾后的白色灰覆盖范围为1%至28%。数据被用来评估两个燃料消耗模型，消费和FOFEM，并制定回归方程预测燃料消耗量从灰覆盖。CONSUME和FOFEM产生了类似的预测总燃料消耗量，并与测量值。简单的线性模型来预测火灾前的燃料负荷和燃料消耗从火灾后的白色灰覆盖解释46%和59%的变化分别。
A lack of independent, quality-assured data prevents scientists from effectively evaluating predictions and uncertainties in fire models used by land managers. This paper presents a summary of pre-fire and post-fire fuel, fuel moisture and surface cover fraction data that can be used for fire model evaluation and development. The data were collected in the south-eastern United States on 14 forest and 14 non-forest sample units associated with 6 small replicate and 10 large operational prescribed fires conducted during 2008, 2011, and 2012 as part of the Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE). Fuel loading and fuel consumption averaged 6.8 and 4.1 Mg ha–1 respectively in the forest units and 3.0 and 2.2 Mg ha–1 in the non-forest units. Post-fire white ash cover ranged from 1 to 28%. Data were used to evaluate two fuel consumption models, CONSUME and FOFEM, and to develop regression equations for predicting fuel consumption from ash cover. CONSUME and FOFEM produced similar predictions of total fuel consumption and were comparable with measured values. Simple linear models to predict pre-fire fuel loading and fuel consumption from post-fire white ash cover explained 46 and 59% of variation respectively.