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淮宿地区近10年雷电灾害特征

Characteristics Analysis of Lightning Disaster of Huaian and Suqian in Last 10 Years
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摘要 本文利用淮安和宿迁两市防雷中心提供的2006~2015年10年雷电灾害资料分析了淮宿地区雷电灾害的危害特征。结果表明:80%以上的雷电灾害出现在7~8月份;占总数18.5%的雷电灾害造成人员伤亡,95%以上出现在农村;发生在农村和城市的雷电灾害次数比例为1:0.6;雷电灾害发生的总次数、人员伤亡次数、经济损失次数和人员伤亡数总体上呈下降趋势,但一次雷电灾害造成的经济损失呈上升趋势;发生在农村的雷电灾害主要是造成人员伤亡,经济损失额一般比较小,发生在城市的雷电灾害主要是造成经济损失,人员伤亡现象极少出现,城市雷电灾害造成直接经济损失的总数是农村的29.6倍,平均一次雷电灾害造成直接经济损失城市是农村的35.4倍;水稻移栽和返青期是雷电灾害造成人员伤亡的高发期,6月26日至7月5日雷电灾害造成人员伤亡次数占农村人员伤亡总次数的78.9%;雷电灾害造成人员伤亡的环境75%以上是稻田和河湖水面。 Based on the data provided by the center of thunderstorm preventing in Huaian and Suqian from 2006 to 2015, the characteristic of lightning disaster was analyzed. The results show that over 80 percent of lightning disasters occurred in July and August, and 18.5 percent of the total lightning disasters caused casualties, and more than 95 percent occurred in rural areas. The ratio of the lightning disasters occurred in the city to the countryside is 1:0.6. The lightning disaster occurrences, casualties and the loss of property show downtrend. But the economic loss caused by the lightning disaster shows rising trend. The lightning disasters which occurred in the countryside mainly result in heavy casualties and less economic loss, while the lightning disasters which occurred in the city mainly cause a great number of economic loss and little casualties. The direct economic loss resulted from the lightning disaster in the city is 29.6 times more than in the countryside. On average, the direct economic loss caused by a lightning disaster in the city is 35.4 times more than the rural areas. The rice transplanting time and returning green stage are the high happening periods of the lightening disaster which causes death. The loss of life and personal injury in the city accounted for 78.9% of the casualty in the countryside from 26 June to 5 July. Over 75 percent of lightning disasters which can result in the casualty generates in the rice-field, rivers and lakes.
机构地区 宿迁市气象局
出处 《气候变化研究快报》 2018年第1期12-19,共8页 Climate Change Research Letters
基金 江苏省气象局预报员专项(项目编号:JSYBY201613)。
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