雷电强度客观分级方法探讨
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摘要
利用2007—2016年湖北省雷电监测系统获得的雷电资料,经过统计分析雷电流幅值、雷电陡度的特征,建立了雷电强度等级评估模型。采用对称不等间隔四级法,将雷电强度分为弱(Ⅰ)、中等(Ⅱ)、强(Ⅲ)和极强(Ⅳ)4个等级,并计算出各等级划分阈值。检验了分级阈值的合理性,同时用雷电灾害情况对分级结果作了进一步检验,结果表明雷电强度分级方法是客观可行的,能够为雷电灾害评估和等级划分、雷电预报预警等工作提供重要的参考。
Based on the Lightning data obtained from the lightning location system in Hubei Province from2007 to 2016,the evaluation model of lightning intensity is established after the statistical analysis of the characteristics of lightning current amplitude and lightning steepness.The lightning intensity is divided into four levels:weak(Ⅰ),medium(Ⅱ),strong(Ⅲ)and extremely strong(Ⅳ)by using the method of symmetrical unequal interval,and the thresholds for each level are calculated.In addition to test the rationality of the classification threshold,a further inspection is also made with the thunder and lightning disaster data.The results show that the lightning intensity classification method is objective and feasible,which can provide references for lightning disaster assessment and classification,and lightning warning and forecasting.
Based on the Lightning data obtained from the lightning location system in Hubei Province from2007 to 2016,the evaluation model of lightning intensity is established after the statistical analysis of the characteristics of lightning current amplitude and lightning steepness.The lightning intensity is divided into four levels:weak(Ⅰ),medium(Ⅱ),strong(Ⅲ)and extremely strong(Ⅳ)by using the method of symmetrical unequal interval,and the thresholds for each level are calculated.In addition to test the rationality of the classification threshold,a further inspection is also made with the thunder and lightning disaster data.The results show that the lightning intensity classification method is objective and feasible,which can provide references for lightning disaster assessment and classification,and lightning warning and forecasting.
引文
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[2]金晨路,肖稳安,王学良.湖北省雷电灾害易损性分析与区划[J].暴雨灾害,2011,30(3):272-276.
[3]曾金全,冯真祯,张烨方,等.区域雷电灾害风险评估模型与应用[J].气象科技,2017,45(1):179-183.
[4]王淑一,邹善勇,王囝囝.大连市雷电灾害风险评估体系指标量化方法[J].气象科技,2016,44(3):510-516.
[5]袁湘玲,周倩,王振会,等.雷电灾害风险分级方法研究[J].灾害学,2017,32(1):26-31.
[6]曾金全,杨超,王颖波,等.基于统计分布特征的闪电强度等级划分[J].暴雨灾害,2016,35(6):585-589.
[7]王学良,张科杰,余田野,等.雷电流幅值概率分布特征及累积概率分段修订[J].气象科技,2016,44(6):1037-1042.
[8]黄克俭,王小飞,李鑫,等.架空金属线路雷电感应电流热效应分析[J].电瓷避雷器,2015(1):119-124.
[9]王学良,刘学春,伍哲文,等.防雷装置检测技术[M].北京:气象出版社,2012:31-33.
[10]迟潇潇,尹占娥,王轩,等.我国极端降水阈值确定方法的对比研究[J].灾害学,2015,30(3):186-190.
[11]吴安坤,邵莉丽,吴仕军,等.贵州雷电流幅值累积概率分布公式探讨[J].现代建筑电气,2016,7(11):8-12.
[12]李家启,王劲松,廖瑞金,等.重庆库区地貌1999-2008雷电流幅值频率分布特征[J].高电压技术,2011,37(5):1123-1128.
[13]徐鸣一,王振会,樊荣,等.江苏省地闪密度及雷电流幅值分布[J].南京信息工程大学学报(自然科学版),2010,2(6):557-561.
[14]李家启,李博,申双和,等.基于ADTD系统的雷电流波头陡度频率分布特征[J].气象科技,2010,38(6):741-745.
[15]王巨丰,齐冲,车诒颖,等.雷电流最大陡度及幅值的频率分布[J].中国电机工程学报,2007,27(3):106-110.
[16]Crouch K E.Calibration test on magnetic tape lightning current detector[R].USA:NASA Contractor Report,1980.
[17]中国气象局监测网络司.地面气象电码手册[M].北京:气象出版社,1999.
[18]Cummins K L,Murphy M J,Barbo E A,et al.A combined TOA/MDF technology upgrade of the U.S.national lightning detection network[J].J Geophys Res,1998,103(D8):9035-9044.
[19]程辉,王颖波,刘隽,等.基于正态分布拟合与检验的闪电定位资料控制[J].气象科学,2015,35(2):195-198.
[20]王凤娇,任钟冬,韦良文,等.雷电灾害等级划分及发生潜势指标探讨[J].气象科技,2009,37(6):744-747.