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Preliminary yield estimation of the 2020 Beirut explosion using video footage from social media
Shock Waves ( IF 1.7 ) Pub Date : 2020-09-01 , DOI: 10.1007/s00193-020-00970-z
S. E. Rigby , T. J. Lodge , S. Alotaibi , A. D. Barr , S. D. Clarke , G. S. Langdon , A. Tyas

Rapid, accurate assessment of the yield of a large-scale urban explosion will assist in implementing emergency response plans, will facilitate better estimates of areas at risk of high damage and casualties, and will provide policy makers and the public with more accurate information about the event. On 4 August 2020, an explosion occurred in the Port of Beirut, Lebanon. Shortly afterwards, a number of videos were posted to social media showing the moment of detonation and propagation of the resulting blast wave. In this article, we present a method to rapidly calculate explosive yield based on analysis of 16 videos with a clear line-of-sight to the explosion. The time of arrival of the blast is estimated at 38 distinct positions, and the results are correlated with well-known empirical laws in order to estimate explosive yield. The best estimate and reasonable upper limit of the 2020 Beirut explosion determined from this method are 0.50 kt TNT and 1.12 kt TNT, respectively.

中文翻译:

使用来自社交媒体的视频片段对 2020 年贝鲁特爆炸的初步产量估计

快速、准确地评估大规模城市爆炸的产生量将有助于实施应急响应计划,有助于更好地估计高破坏和伤亡风险的区域,并将为决策者和公众提供更准确的信息。事件。2020年8月4日,黎巴嫩贝鲁特港发生爆炸。不久之后,一些视频被发布到社交媒体上,展示了爆炸波的爆炸和传播时刻。在本文中,我们提出了一种基于对 16 个具有清晰视线的爆炸视频的分析来快速计算爆炸当量的方法。爆炸到达时间估计在 38 个不同的位置,结果与众所周知的经验法则相关,以估计爆炸当量。
更新日期:2020-09-01
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