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| 基于MODIS-CALIOP协同的中国西南地区森林草原火灾烟羽喷射高度特征及影响因素研究 |
| Study on the characteristics and influencing factors of plume ejection height of forest and grassland fires in southwest China based on MODIS-CALIOP synergy |
| 投稿时间：2025-03-13 修订日期：2025-08-20 |
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| DOI： |
| 基金项目:基于物理可信生成视频序列与深度学习的早期林火烟雾探测方法研究，国家自然科学基金面上项目 |
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| 中文关键词: 森林草原火灾 烟羽喷射高度 灰色关联分析 地理探测器 |
| 英文关键词:forest-grassland fire plume height grey relational analysis geographical detector |
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| 中文摘要: |
| 烟羽喷射高度作为烟气羽流运动的关键驱动因素，通过制约污染物扩散范围及气溶胶混合过程，成为模拟大气污染物传输和评估火灾环境效应的关键输入。为探究烟羽喷射高度分布规律和其影响因子，本文首先基于MODIS和CALIPSO卫星数据，通过时空匹配建立2015年~2021年西南地区森林草原火灾烟羽数据库，揭示其空间垂直分布规律；接着选取7个特征变量，引入灰色关联分析模型与地理探测器，评估气象、地形和火灾特征对烟雾垂直分布的影响及其交互作用。结果表明：西南地区森林草原火灾烟羽喷射高度范围为792 m~4167 m，有13%的羽流进入大气稳定层之上，更快地从源区向外扩散；温度、相对湿度和大气稳定性与烟羽喷射高度的关联度较强，火灾辐射功率的关联度显著低于其他因子；因子交互效应解释力范围为7.8%~79.6%，其中地表高程与风速、相对湿度间的交互作用最强。 |
| 英文摘要: |
| As a key driving factor of smoke plume movement, the height of smoke plume becomes a key input to simulate the transport of atmospheric pollutants and evaluate the environmental effects of fires by regulating the diffusion range of pollutants and the mixing process of aerosols. In order to explore the distribution of smoke plume height and its influencing factors, this paper firstly established the forest grassland fire smoke plume database in southwest China from 2015 to 2021 by temporal and spatial matching based on MODIS and CALIPSO satellite data, then, seven characteristic variables are selected, and the grey correlation analysis model and the geographical detector are introduced, assessing the influence of meteorological, topographic, and fire characteristics on smoke vertical distribution and their interaction. The results show that the height of the plume ranges from 792m to 4167m, and 13% of the plume enters the upper atmosphere and spreads out from the source region more quickly The correlation between temperature, relative humidity, atmospheric stability and plume ejection height was strong, and the correlation between fire radiation power and wind speed was significantly lower than that of other factors. The explanatory power of factor interaction effect ranged from 7.8% to 79.6% , the interaction between surface elevation and relative humidity, wind speed is the strongest. |
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