Incident of lightning-related casualties in Bihar, India: An analysis and vulnerability assessment

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Anand Shankar, Ashish Kumar, Vivek Sinha
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引用次数: 0

Abstract

In terms of natural disasters, lightning is India's most devastating threat, causing over 2500 casualties per year, according to the latest annual report of the National Crime Record Bureau. When compared to numbers reported from other parts of the world, this one is significantly higher. Bihar ranks as one of the most vulnerable Indian states in terms of lightning-related casualties and injuries. Lightning-related casualties and injuries in lightning hotspots in Bihar, India, are analysed and presented for the first time using the casualty and injury data received from the field offices of the Disaster Management Department, Government of Bihar. Also, the spatial and temporal patterns and causes of lightning deaths in the state of Bihar have been linked to the intra-annual cloud-to-ground lightning strike frequency distribution. During 2017–2022, on average, there were 271 human casualties and 57.2 lightning injuries every year because of lightning in the small state of Bihar. The casualty rate per million per year was 2.65 during the period under study, which is higher than India's average (2.55). Lightning-related damages peaked from May to September, with June and July having the most (58.8% of total casualties and 59.43% of total injuries). Most of these casualties and injuries (about 76.8%) caused by lightning occurred from 1230 to 1830 IST. Several hotspots, mainly in the southern and eastern parts of the state, have been identified. Most of the casualties occurred in rural settings. Men between the age groups of 11–15 and 41–45 living in rural areas were particularly vulnerable. The authors contend that lightning mitigation actions and education campaigns regarding the risks associated with lightning should be undertaken with urgent priority to reduce the lightning casualty rate in the state of Bihar, India.

印度比哈尔邦与雷电有关的伤亡事件:分析和脆弱性评估
在自然灾害方面,雷电是印度最具破坏性的威胁,根据国家犯罪记录局的最新年度报告,每年造成 2500 多人伤亡。与世界其他地区报告的数字相比,这个数字要高得多。比哈尔邦是印度最容易遭受雷击伤亡的邦之一。本文首次利用从比哈尔邦政府灾害管理部现场办公室获得的伤亡数据,分析并展示了印度比哈尔邦雷电热点地区与雷电相关的伤亡情况。此外,还将比哈尔邦雷击死亡的时空模式和原因与年内云地雷击频率分布联系起来。2017-2022 年间,比哈尔邦这个小邦平均每年因雷电造成 271 人伤亡,57.2 人雷击受伤。在研究期间,每年每百万人的伤亡率为 2.65,高于印度的平均水平(2.55)。与雷电有关的损失在 5 月至 9 月达到高峰,其中 6 月和 7 月的损失最大(占总伤亡人数的 58.8%,占总受伤人数的 59.43%)。雷电造成的大部分伤亡(约占 76.8%)发生在北京时间 12 时 30 分至 18 时 30 分。已确定了几个热点地区,主要位于该州南部和东部地区。大多数伤亡发生在农村地区。居住在农村地区的 11-15 岁和 41-45 岁年龄段的男性尤其容易受到雷击。作者认为,当务之急是采取减少雷击的行动并开展有关雷击风险的教育活动,以降低印度比哈尔邦的雷击伤亡率。
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来源期刊
Journal of Earth System Science
Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
3.20
自引率
5.30%
发文量
226
期刊介绍: The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.
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