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安徽省云地闪密度与雷暴日数关系的研究 被引量:15

Study on relationship of cloud-ground lightning density and thunderstorm days in Anhui province
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摘要 利用1961—2015年安徽省雷暴日数资料和2010—2015年ADTD系统闪电定位数据,以县级行政区域为基本单位,采用线性和幂两种计算模型分析安徽省年平均云地闪密度N_g与雷暴日数T_d的关系,并与《建筑物防雷设计规范》(GB 50057)公式的计算结果进行对比。结果表明:2010—2015年安徽省雷暴日数与1961—2015年雷暴日数的观测数据无显著性差异,幂模型比线性模型更适用于表征安徽省年平均云地闪密度和雷暴日数的关系。利用雷暴日数据结合规范两种计算公式得到的安徽省各县区年平均云地闪密度与实际观测的云地闪密度存在较大的差异,公式N_g=0.024T_d^(1.3)计算的云地闪密度的样本平均相对误差为31.65%,低于N_g=0.100T_d计算的云地闪密度的样本相对误差44.03%。拟合公式N_g=0.0281T_d^(1.369)计算的安徽省年平均云地闪密度与实际观测的云地闪密度接近,较规范中的两类公式N_g=0.024T_d^(1.3)和N_g=0.100T_d更适用于安徽地区。 Based on thunderstorm days data from 1961 to 2015 and Active Divectory Topology Diagrammer( ADTD) lightning location data from 2010 to 2015, the relationship between annual mean cloud-ground lightning density N_g and thunderstorm days T_d was analyzed using a linear model and a power law model throughout different counties in Anhui province. The results were compared with those calculated from formula according to " Code for Design Protection of Structures against Lightning"( GB 50057). The results show that there is no significant difference between thunderstorm days observed from 2010 to 2015 and that observed from 1961 to 2015. The power law model is more suitable for describing the relationship between annual cloud-ground lightning density and thunderstorm days than the linear model. The annual mean cloud-ground lightning density in different counties in Anhui province calculated from the two equations according to the standard( GB 50057) has a large difference from the real observations. The average relative error of the power-law equation N_g = 0. 024 T_d^(1.3) is 31. 65% and that of linear model N_g = 0. 100 T_d is 44. 03%, respectively. The cloud-ground lightning density calculated from the fitting equation N_g = 0. 0281 T_d^(1.369) is close to the real observations,and it is more suitable for Anhui province than the other two equations N_g = 0. 024 T_d^(1.3) and N_g = 0. 100 T_d.
出处 《气象与环境学报》 2018年第1期61-68,共8页 Journal of Meteorology and Environment
基金 安徽省气象局气象科技发展基金项目"基于闪电定位数据的雷暴日资料序列化延长"(KM201606) 安徽省自然科学基金项目"安徽省梅汛期极端降水事件的时空特征及其与东北冷涡的联系"(1308085QD69)共同资助
关键词 云地闪 雷暴日数 闪电密度 误差 Cloud-ground lightning Thunderstorm days Lightning density Error
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