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首页> 外文期刊>International Journal of Wildland Fire >Modifying the Canadian Fine Fuel Moisture Code for masticated surface fuels
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Modifying the Canadian Fine Fuel Moisture Code for masticated surface fuels

机译:修改加拿大精细燃油水分法规,以用于咀嚼表面燃料

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摘要

Mechanical mastication is a fuel management technique that disrupts the vertical continuity of forest fuels by shredding of trees and understory vegetation into a highly compacted surface fuel bed. Despite the increasing application of mastication to manage wildfire risk, there is little information to date on fuel moisture in masticated fuels and optimal ignition patterns for prescribed burning. We investigated the applicability of the Fine Fuel Moisture Code (FFMC), a component of the Canadian Fire Weather Index (FWI) System, in tracking the diurnal and day-to-day changes in masticated surface fuel moisture, and developed a calibration of the standard conversion between moisture content and FFMC via regression modelling. We also proposed several modifications to the FFMC model (including a solar radiation driven fuel temperature) to better estimate the fuel-specific parameters of small diameter (<1 cm) masticated surface fuels. Model validation was performed using destructive moisture content observations from a mastication treatment in west-central Alberta, Canada. A calibrated form of the moisture content to FFMC conversion produced mean error of -2.3% moisture content, and closely resembled previous FWI System calibrations for fast drying surface fuels. Our modified FFMC-based model fit well with field observations, and was capable of producing mean error of 1.0% moisture content. The fast drying that we observed highlights the need to better understand moisture dynamics of masticated fuel beds.
机译:机械咀嚼是一种燃料管理技术,它通过将树木和林下植被粉碎成高度压实的地面燃料床来破坏森林燃料的垂直连续性。尽管越来越多地使用咀嚼法来管理野火风险,但迄今为止,关于咀嚼型燃料中的燃料水分和规定燃烧的最佳点火方式的信息很少。我们调查了加拿大燃油天气指数(FWI)系统组成部分的精细燃料水分法规(FFMC)在跟踪咀嚼地表燃料水分的每日和每日变化方面的适用性,并开发了一种校准方法。通过回归模型在水分含量和FFMC之间进行标准转换。我们还对FFMC模型提出了一些修改(包括太阳辐射驱动的燃料温度),以更好地估算小直径(<1 cm)咀嚼型表面燃料的燃料特定参数。使用来自加拿大中西部艾伯塔省中部咀嚼处理的破坏性水分含量观测值进行了模型验证。水分含量到FFMC转化率的校准形式产生的平均误差为-2.3%水分含量,与之前FWI系统对快干表面燃料的校准非常相似。我们改进的基于FFMC的模型与实地观测非常吻合,并且能够产生1.0%水分含量的平均误差。我们观察到的快速干燥突出显示了需要更好地了解咀嚼燃料床的水分动力学的需求。

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