Discussion About Ground Lightning Density and Cumulative Probability of Lightning Current Amplitudes

WANG Yun; DENG Guofeng; WANG Shuyi

doi:10.13296/j.1001-1609.hva.2015.10.033

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Discussion About Ground Lightning Density and Cumulative Probability of Lightning Current Amplitudes

更新时间：2025-04-26

- Discussion About Ground Lightning Density and Cumulative Probability of Lightning Current Amplitudes
- High VoltageApparatus Vol. 51, Issue 10, Pages: 199-204(2015)
- 作者机构：
  
  大连市雷电防护中心
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2015.10.033
  CLC： P426.32
- Published：2015
- 稿件说明：
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[1]王赟,邓国峰,王淑一.地闪密度及雷电流幅值概率特征讨论[J].高压电器,2015,51(10):199-204.

WANG Yun, DENG Guofeng, WANG Shuyi. Discussion About Ground Lightning Density and Cumulative Probability of Lightning Current Amplitudes[J]. High voltageapparatus, 2015, 51(10): 199-204.
[1]王赟,邓国峰,王淑一.地闪密度及雷电流幅值概率特征讨论[J].高压电器,2015,51(10):199-204. DOI： 10.13296/j.1001-1609.hva.2015.10.033.

WANG Yun, DENG Guofeng, WANG Shuyi. Discussion About Ground Lightning Density and Cumulative Probability of Lightning Current Amplitudes[J]. High voltageapparatus, 2015, 51(10): 199-204. DOI： 10.13296/j.1001-1609.hva.2015.10.033.

摘要

文中根据辽宁省2007—2011年闪电定位资料

1962—2011年地面观测资料

采用相关分析法求出地闪密度与人工观测雷暴日之间的最优距离

在此距离上

结合时间权重法来进行地闪密度方法计算

并绘制出辽宁省地闪密度分布图。对雷电流幅值概率进行数理统计分析

结果表明

套用现有经验公式偏差较大

利用EXCEL工具进行数据拟合

得出辽宁省雷电流幅值累计概率的经验公式。上述研究结果为雷击风险评估工作提供基础

为防雷减灾工作提供依据。

Abstract

Based on the lightning location data from 2007 to 2011 and the ground observation data in the period of1962-2011 in Liaoning Province

the optimal distance between ground lightning density and observed thunderstorms is obtained by using the correlation analysis. With the distance

the time weighting method is adopted to calculate the ground lightning density and draw ground lightning density distribution map of Liaoning Province. The values of the cumulative probability of lightning current amplitudes are analyzed statistically

and the results show that the existing empirical formula is of large deviation. Hence

EXCEL tool is employed to fit the data

and a new empirical formula for calculating the cumulative probability of lightning current amplitudes of Liaoning Province is proposed. This research may provide a basis for lightning risk assessment

and for lightning protection and disaster reduction.

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