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基于雷电定位系统监测数据的山区微地形落雷分布差异及影响因素分析

Distribution differences of lightning strikes and influencing factors in mountainous microtopography based on the monitoring data of lightning location system

  • 摘要: 为精细化研究山区地形不同位置的落雷分布差异,提出了表征不同山区地形落雷密集程度的落雷系数(k1)和落雷密度系数(k2)这两个参数,利用闪电击距理论,推导了山顶、山腰和山谷3种微地形的落雷系数和落雷密度系数计算公式。进一步分析了地形高度、山体坡度2个地理参数以及电流强度对山区微地形落雷分布的影响。最后,基于近10年湖北大洪山地区VLF/LF (Very Low Frequency /Low Frequency)雷电定位系统闪电监测数据对推导的公式模型做了实例验证。结果表明:山顶对闪电具有吸引作用,导致其落雷系数、落雷密度系数均为最大,山谷对闪电具有屏蔽作用,其落雷系数、落雷密度系数最小,山腰落雷系数、落雷密度系数介于两者之间;地形高度越大,不同微地形的落雷系数、落雷密度系数差异越小,并逐渐趋于稳定;随着山体坡度的增加,不同微地形的落雷系数差异越明显,而落雷密度系数呈减小趋势;电流强度越大,不同微地形落雷系数、落雷密度系数差异也就越明显。实例验证显示,试验区山区微地形的落雷分布与研究结果吻合,本文研究结果可为山区雷电防护工程设计和雷电灾害风险评估等精细化防雷提供一定参考。

     

    Abstract: Abstract: To examine lightning strike distribution differences across different mountainous terrains, this study proposes two parameters to characterize the frequency of lightning strikes over various topography: the lightning strike coefficient (k1) and lightning density coefficient (k2). Using the striking distance theory, formulas for k1 and k2 were derived for three microtopography types (mountain peak, mountainside and valley). The influence of terrain height, slope, and lightning current intensity on lightning distribution was systematically examined. Finally, the model was validated by using the VLF/LF lightning monitoring data from the Dahong Mountain area over the past decade. The results indicate that mountain peaks attract lightning discharges, exhibiting the highest lightning strike coefficient and lightning density coefficient, while valleys have a shielding effect, showing the lowest values, and mountainside lies intermediately. As terrain elevation increases, the differences in lightning strike coefficient and lightning density coefficient become smaller and gradually stabilizes. With increasing mountain slope, lightning strike coefficient has significant differences in different terrains, while the lightning density coefficient shows a decreasing trend. Higher lightning current intensities amplify the disparities in both lightning strike coefficient and lightning density coefficient. Empirical tests confirmed agreement between theoretical models and actual lightning distribution. These findings help to refine lightning protection strategies in terms of lightning protection engineering design and disaster risk assessment in mountainous areas.

     

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