Application of ADTD data in quality control of lightning location data in the Chengdu area

XIE Yaxiong; CHEN Xiaochen; WEI Qing; WU Rong; ZHANG Wei; DUAN Huan

doi:10.3969/j.issn.1672-3643.2024.02.007

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Application of ADTD data in quality control of lightning location data in the Chengdu area

更新时间：2026-06-27

- Application of ADTD data in quality control of lightning location data in the Chengdu area
- Ningxia Electric Power Issue 2, (2024)
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- DOI：10.3969/j.issn.1672-3643.2024.02.007
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- Online First：27 May 2024，
  
  Published：2024
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XIE Yaxiong, CHEN Xiaochen, WEI Qing, et al. Application of ADTD data in quality control of lightning location data in the Chengdu area[J]. Ningxia Electric Power, 2024, (2).
DOI：

XIE Yaxiong, CHEN Xiaochen, WEI Qing, et al. Application of ADTD data in quality control of lightning location data in the Chengdu area[J]. Ningxia Electric Power, 2024, (2). DOI： 10.3969/j.issn.1672-3643.2024.02.007.

摘要

成都平原属暖湿亚热带太平洋东南季风气候区，中小尺度天气系统十分活跃，雷电活动频繁，分析和应用地基闪电定位系统（advanced direction and time-of-arrival detecting system

ADTD）闪电监测资料须对闪电数据实施质量优选。利用成都地区2011—2020年间的闪电监测资料，分析得出成都地区小幅值闪电的时间分布特征。采用对数正态拟合分析方法得出成都地区闪电监测资料中小幅值地闪的干扰范围为绝对值≤3.10 kA，对数正态拟合检验表明剔除该部分闪电数据后拟合效果更佳。研究表明对数正态分析方法可以定量化确定成都地区小幅值闪电数据中的干扰区间，从而为该地区的闪电资料处理及应用提供了理论依据。

Abstract

The Chengdu Plain is located in the warm and humid subtropical climate zone influenced by the southeast Pacific monsoon

featuring highly active meso-and microscale weather systems and frequent lightning activities.For the analysis and application of ADTD(advanced direction and time-of-arrival detecting system

ADTD)lightning monitoring data

it is essential to perform quality selection on lightning data.Based on the lightning monitoring data from 2011 to 2020 in the Chengdu area

this study analyzes the time distribution characteristics of low-amplitude lightning.The log-normal fitting analysis method

The log-normal fitting analysis method determines that the interference range of low-amplitude ground flashes in Chengdu′s lightning monitoring data is an absolute value of ≤ 3.10kA.Log-normal fitting tests show that the fitting effect is better after excluding this part of lightning data.The findings indicate that the log-normal analysis method can quantitatively identify the interference interval within low-amplitude lightning data in Chengdu

thus providing a theoretical basis for lightning data processing and application in this area.

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