利用罗瑟梅尔野火行为模型预测中国东北地区混合燃料地表火的蔓延速度:一项实验室研究

IF 3.4 2区 农林科学 Q1 FORESTRY Journal of Forestry Research Pub Date : 2024-07-04 DOI:10.1007/s11676-024-01730-w
Hui Yang, Huiying Cai, Guang Yang, Daotong Geng, Long Sun
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引用次数: 0

摘要

火灾蔓延速度是评估森林火灾风险和制定火灾管理计划的关键指标。Rothermel 模型是最广泛使用的火灾蔓延模型,该模型是通过对均质燃料进行实验室实验而建立的,但尚未对针叶树-落叶树混合燃料进行验证。在这项研究中,在实验室燃烧实验中使用了柯来松和蒙古栎枯落物来模拟野外地表火灾蔓延。分析了燃料含水量、混合燃料比率和坡度对蔓延速度的影响。罗瑟梅尔模型中的最佳堆积比、湿度阻尼系数和坡度参数是根据测量到的蔓延率修改的,而测量到的蔓延率与坡度呈正相关,与燃料含水量呈负相关。随着芒草负载的增加,铺展率也随之增加,在燃料比为 4:6 时铺展率最高。修改了最佳填料比和坡度参数的模型的撒播率预测误差明显低于未修改的模型。根据实验室燃烧模拟的铺展率修改模型参数后,铺展率预测的准确性明显提高。
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Predicting the rate of spread of mixed-fuel surface fires in northeastern China using the Rothermel wildfire behaviour model: a laboratory study

The rate of fire spread is a key indicator for assessing forest fire risk and developing fire management plans. The Rothermel model is the most widely used fire spread model, established through laboratory experiments on homogeneous fuels but has not been validated for conifer-deciduous mixed fuel. In this study, Pinus koraiensis and Quercus mongolica litter was used in a laboratory burning experiment to simulate surface fire spread in the field. The effects of fuel moisture content, mixed fuel ratio and slope on spread rate were analyzed. The optimum packing ratio, moisture-damping coefficient and slope parameters in the Rothermel model were modified using the measured spread rate which was positively correlated with slope and negatively with fuel moisture content. As the Q. mongolica load increased, the spread rate increased and was highest at a fuel ratio of 4:6. The model with modified optimal packing ratio and slope parameters has a significantly lower spread rate prediction error than the unmodified model. The spread rate prediction accuracy was significantly improved after modifying the model parameters based on spread rates from laboratory burning simulations.

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来源期刊
CiteScore
7.30
自引率
3.30%
发文量
2538
期刊介绍: The Journal of Forestry Research (JFR), founded in 1990, is a peer-reviewed quarterly journal in English. JFR has rapidly emerged as an international journal published by Northeast Forestry University and Ecological Society of China in collaboration with Springer Verlag. The journal publishes scientific articles related to forestry for a broad range of international scientists, forest managers and practitioners.The scope of the journal covers the following five thematic categories and 20 subjects: Basic Science of Forestry, Forest biometrics, Forest soils, Forest hydrology, Tree physiology, Forest biomass, carbon, and bioenergy, Forest biotechnology and molecular biology, Forest Ecology, Forest ecology, Forest ecological services, Restoration ecology, Forest adaptation to climate change, Wildlife ecology and management, Silviculture and Forest Management, Forest genetics and tree breeding, Silviculture, Forest RS, GIS, and modeling, Forest management, Forest Protection, Forest entomology and pathology, Forest fire, Forest resources conservation, Forest health monitoring and assessment, Wood Science and Technology, Wood Science and Technology.
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