利用泥炭特有的水文输入数据改进泥炭地火灾气象指数系统

Jonas Mortelmans, A. Felsberg, Gabriëlle J. M. De Lannoy, S. Veraverbeke, Robert D. Field, Niels Andela, Michel Bechtold
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引用次数: 0

摘要

摘要加拿大火灾气象指数(FWI)系统虽然最初是针对高地杰克松林开发和校准的,但在全球范围内被用于估计任何火灾环境的火灾危险性。然而,对于泥炭地等某些环境,当前形式的 FWI 的适用性经常受到质疑。在这项研究中,我们将基于卫星的 L 波段被动微波观测数据同化到泥炭地特定的地表模型中,用水文估算结果取代了 FWI 的原始湿度代码。为了保持原始 FWI 结构的完整性,在替换之前,首先将水文估算值的分布与相应的原始湿度代码的分布相匹配。利用基于卫星的 2010 年至 2018 年北方泥炭地火灾信息,对调整后的 FWI(以下称为 FWIpeat)进行了评估。结果发现,利用基于模型和卫星的水文信息对 FWI 进行改编有利于估算火灾危险性,尤其是在替换 FWI 中较深的湿度代码时。对于晚季火灾,由于晚季火灾受水文影响更大,对精细燃料湿度代码的进一步调整显示出更大的改进空间。拟议的 FWIpeat 应能改进对北方泥炭地火灾风险的监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the fire weather index system for peatlands using peat-specific hydrological input data
Abstract. The Canadian Fire Weather Index (FWI) system, even though originally developed and calibrated for an upland Jack pine forest, is used globally to estimate fire danger for any fire environment. However, for some environments, such as peatlands, the applicability of the FWI in its current form, is often questioned. In this study, we replaced the original moisture codes of the FWI with hydrological estimates resulting from the assimilation of satellite-based L-band passive microwave observations into a peatland-specific land surface model. In a conservative approach that maintains the integrity of the original FWI structure, the distributions of the hydrological estimates were first matched to those of the corresponding original moisture codes before replacement. The resulting adapted FWI, hereafter called FWIpeat, was evaluated using satellite-based information on fire presence over boreal peatlands from 2010 through 2018. Adapting the FWI with model- and satellite-based hydrological information was found to be beneficial in estimating fire danger, especially when replacing the deeper moisture codes of the FWI. For late-season fires, further adaptations of the fine fuel moisture code show even more improvement due to the fact that late-season fires are more hydrologically driven. The proposed FWIpeat should enable improved monitoring of fire risk in boreal peatlands.
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