PDF(Pubmed)
Abstract：
Bangladesh has witnessed alarmingly rising lightning frequency, particularly during pre-monsoon and monsoon seasons. This has resulted in significant annual death tolls from lightning strikes over the past decade. Recognizing this crisis, the country officially declared lightning casualties a natural disaster in 2016. This study delves deeper into the landscape of lightning fatalities and causalities in Bangladesh. Utilizing secondary data sources, this research introduces a unique approach by integrating Bangladesh Meteorological Department (BMD) data and NASA\'s Lightning Imaging Sensor (LIS) data from the International Space Station\'s (ISS) Near-real Time (NRT) mission. This combined dataset allows for a more comprehensive analysis. Furthermore, Geographic Information Systems (GIS) was employed to analyze spatial distributions and generate maps. The Inverse Distance Weighted (IDW) interpolation tool was used to create detailed spatial distribution maps of lightning fatalities, thunderstorm days (TSDs), and lightning flash frequency (LFF) across Bangladesh. The analysis revealed that farmers and fishermen were the most vulnerable populations, with the northeastern regions experiencing the highest impact. Sylhet division emerged as the area with the most fatalities, highlighting the northeastern zone\'s susceptibility. The study also identified monsoons as the period with the highest occurrences of lightning deaths and injuries. By combining innovative data integration and spatial analysis, this study offers valuable insights into the alarming trend of lightning fatalities in Bangladesh. These findings can inform targeted prevention strategies and interventions to safeguard vulnerable populations and communities.
摘要：
孟加拉国目睹了令人震惊的闪电频率上升，特别是在季风前和季风季节。在过去的十年中，这导致了每年因雷击而造成的大量死亡。认识到这场危机，该国于2016年正式宣布闪电伤亡为自然灾害。这项研究更深入地研究了孟加拉国的闪电死亡和因果关系。利用辅助数据源，这项研究通过整合孟加拉国气象部门（BMD）数据和来自国际空间站（ISS）近实时（NRT）任务的NASA闪电成像传感器（LIS）数据引入了一种独特的方法。该组合数据集允许更全面的分析。此外，地理信息系统（GIS）用于分析空间分布并生成地图。反距离加权（IDW）插值工具用于创建详细的闪电死亡空间分布图，雷暴日（TSDs），以及整个孟加拉国的闪电频率（LFF）。分析显示，农民和渔民是最脆弱的人群，东北地区的影响最大。希尔赫特分部成为死亡人数最多的地区，突出了东北地区的敏感性。该研究还确定季风是闪电伤亡最高的时期。通过结合创新的数据集成和空间分析，这项研究为孟加拉国闪电死亡的惊人趋势提供了有价值的见解。这些发现可以提供有针对性的预防策略和干预措施，以保护弱势群体和社区。
