2010-2022 年期间极端天气事件在印度查谟和克什米尔造成的死亡人数

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES MAUSAM Pub Date : 2024-03-24 DOI:10.54302/mausam.v75i2.6147
Mukhtar Ahmed, S. Lotus, Bappa Das, F. Bhat, Amir Hassan Kichloo, Shivinder Singh
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引用次数: 0

摘要

一项关于 2010-2022 年期间印度查谟和克什米尔地区极端天气事件(EWEs)导致的死亡率的研究已经开展。在本研究中,我们使用了印度气象局提供的 2010 年至 2022 年期间查谟和克什米尔 10 个站点的暴雨、暴雪、闪电/雷暴、冰雹和大风的频率。斯利那加气象中心收集了各地区因这些极端天气事件造成的死亡人数。根据 40 年(1982 年至 2022 年)的数据,计算了每个站点的月平均降水量和每个月的降雨日数。在过去 12 年(2010 年至 2022 年)中,查谟和克什米尔地区共发生了 2863 起预警事件,截至 2022 年 12 月 31 日,共有 552 人死亡。在各种预警事件中,闪电事件(1942 起)和暴雨事件(409 起)更为频繁。当我们比较每起事件的死亡率时,大雪比其他任何预警事件都更具破坏性。与其他极端事件相比,大雪造成的单次死亡率最高(4.33),尽管与暴雨(409 次)、山洪(168 次)和闪电(1942 次)相比,大雪事件的次数较少(42 次)。各地区的预警结果显示,大雪造成的死亡人数最多的地区是库普瓦拉(Kupwara)、班迪波拉(Bandipora)、巴拉穆拉(Baramulla)和甘德巴勒(Ganderbal)。同样,基什特瓦尔、安南塔纳格、甘德巴勒和多达也是山洪造成死亡人数最多的地区。皮尔逊相关性结果显示,暴雨(0.77)和暴雪(0.69)的死亡总人数相关性最高(在 p 值 p<0.01 时显著),其次是山洪(0.492)(在 p 值 p<0.05 时显著)。大雪和暴风雪(0.584)之间呈负相关(p<0.05)。本研究表明,就整个联邦直辖区而言,暴雨和暴雪是造成死亡的两种主要灾害,尽管山洪、雷暴和暴风的重要性正在增加。趋势分析结果还显示,死亡率逐年显著上升,尤其是山洪(R2 值为 0.434)和暴风(R2 值为 0.371)。
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Extreme weather events induced mortalities in Jammu and Kashmir, India during 2010-2022
A study has been conducted on Extreme Weather Events (EWEs) induced mortalities in Jammu and Kashmir, India during 2010-2022. In the present study, we used the frequency of heavy rain, heavy snow, lightning/thunderstorm, Hailstorm and squall during the period 2010 to 2022 of 10 stations of J&K from India Meteorological Department. The mortalities occurred due to these extreme weather events for each district were collected from the Meteorological Centre Srinagar. The mean monthly precipitation and number of rainy days for each month was calculated for each station based on 40 years data (1982 to 2022). During the past 12 years, (2010-2022) a total of 2863 EWEs occurred over J&K in which 552 deaths occurred till 31st December 2022. Among the various EWEs, lightning (1942) and heavy rainfall (409) events were more frequent. When we compare the mortality per event, the heavy snow was more destructive compared to any other EWEs. The mortality per event due to heavy snow was highest (4.33) as compared to other extreme events, although the number of events of heavy snow is less (42) as compared to heavy rain (409), flash floods (168) and lightning (1942). District wise results of EWEs results revealed the highest deaths due to heavy snow were observed over Kupwara, Bandipora, Baramulla and Ganderbal. Similarly for flash floods, the highest deaths were observed over Kishtwar, Anantnag, Ganderbaland Doda. The Pearson correlation results revealed highest correlation of total deaths for heavy rain (0.77) and heavy snow (0.69) (significant at p value p<0.01) followed by flash floods (0.492) (significant at p value p<0.05). Negative correlation result was observed between heavy snow and windstorm (0.584) (significant at p value p<0.05). The present study has shown that, for the union territory as a whole, the heavy rain and heavy snow have been two major disasters causing mortality, though flashfloods, thunderstorms and windstorms are gaining importance. The trend analysis results also revealed that there is a significant increase in mortality over the years particularly due to flash floods (R2 value 0.434) and windstorm (R2 value 0.371).
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来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
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