Evaluation of the Guang Dong lightning location system with transmission line fault data

Chen, S. M.; Du, Y.; Fan, Ling; He, Hailong; Zhong, Dantian

doi:10.1049/ip-smt:20020131

Cited by 23 publications

(12 citation statements)

References 9 publications

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“…The lightning data were from a lightning location system [Guangdong Lightning Location System (GDLLS); Chen et al 2004], which was put into operation in 1997 in the grid of Guangdong Electric Power Company. Chen et al (2002) of GDLLS with the data of recorded lightning faults on transmission lines in 1997-99, and found the DE is as high as 86% and the median LA is about 1.3 km. 1) and provides real-time CG lightning locations for the whole area of Guangdong province and its vicinity covered by the combined technique of magnetic direction finding (DF) and time of arrival (TOA).…”

Section: A Cg Lightning Datamentioning

confidence: 99%

Lightning Distribution and Eyewall Outbreaks in Tropical Cyclones during Landfall

Zhang

Zheng

et al. 2012

Monthly Weather Review

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Cloud-to-ground lightning data and storm intensity data (winds and central pressure) for 33 northwest Pacific tropical cyclones were used to analyze lightning distributions during the period of landfall in China. Lightning activities varied enormously from storm to storm with an average flash rate over 500 km of radius from 3 to 3201 flashes per hour, and no obvious relationship between average intensity and average flash rate occurred. The maximum flash density shifted from the eyewall region (0-60 km) to outer rainbands (180-500 km) as the intensity level increased. The average ratio of flash density in the eyewall to outer rainband was highest (1:0.5) for storms with the level of a tropical storm (17.2-24.4 m s 21 ) and lowest (1:8.6) for severe typhoons (41.5-50.9 m s 21 ). After storm landfall, flash density in the rainband decreased more rapidly in severe typhoons than in severe tropical storms (24.5-32.6 m s 21 ) and typhoons, but increased in tropical depressions (10.8-17.1 m s 21 ) and tropical storms. With the strength of intensity level, lightning in the outer rainband gradually weakened after the storm landfall.Lightning outbreaks were identified in a consistent manner for all tropical cyclones to inspect the relationship of eyewall flashes to the changes of structure and intensity. Eyewall flash outbreaks were found during the period of intensity change (15% of outbreaks in intensification and 43% in weaken), and the period of maximum intensity (15% of outbreaks) of storms. A new result of this analysis found that 10% of the outbreaks occurred prior to and during periods of storm turning, which is potentially important for the trajectory change forecasting of tropical cyclones.

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Section: A Cg Lightning Datamentioning

confidence: 99%

Lightning Distribution and Eyewall Outbreaks in Tropical Cyclones during Landfall

Zhang

Zheng

et al. 2012

Monthly Weather Review

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“…Five LLS sensor stations were added in May 1999. After the 1999 upgrade, the detection efficiency for CG lightning flash was about 86% with an average location error approximately 1300 m [Chen et al, 2002]. Multistation observation technique was then used to increase the accuracy of detecting flashes position and the sensitivity of detecting lightning flashes.…”

Section: The South China Power Gird Lls and Performance In Prdmentioning

confidence: 99%

Physical and observable characteristics of cloud‐to‐ground lightning over the Pearl River Delta region of South China

et al. 2014

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Cloud-to-ground (CG) lightning characteristic parameters deduced from the lightning location system (LLS) for five differing microenvironmental areas relative to megacity, city, municipal town, hilly suburban area, and mountainous rural area conditions were examined in our 2009-2011 Pearl River Delta (PRD) study. Our LLS data analysis showed that there were high variation of lightning characteristics and phenomenal changes among these areas. As a supplement to the usual study of physical characteristics, an observation-based methodology had been developed to study the lightning behavior, while the respective thunderstorms were traversing through these observation areas. Special features and phenomenal changes related to the lightning characteristic parameters, such as observable lightning stroke days (OLSDs) and observable lightning stroke frequency and density for an OLSD, were also addressed. Microenvironmental variation due to change in topography, degree of urbanization, urban effect, and thunderstorm strength was found to affect the spatial distribution of lightning stroke and the severity of lightning activities over the observation areas. This approach increases our understanding of lightning in subtropical China. It also tells us more about the behavior of lightning while the thunderstorm traverses through an observation area. This information is lacking in previous studies.

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“…The LLS of the Guangdong power grid was originally built in 1997 (Chen et al 2002). The combined magneticdirection-finding and time-of-arrival (MDF-TOA) technology is used to detect CG lightning stroke information such as longitude and latitude, GPS time, peak current, polarity, reporting sensors, etc.…”

Section: A Lls Of the Guangdong Power Gridmentioning

confidence: 99%

Performance Evaluation for a Lightning Location System Based on Observations of Artificially Triggered Lightning and Natural Lightning Flashes

Chen

Zhang

Lü

et al. 2012

Journal of Atmospheric and Oceanic Technology

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Performance evaluation for the lightning location system (LLS) of the power grid in Guangdong Province, China, was conducted based on observation data of the triggered lightning flashes obtained in Conghua, Guangzhou, during 2007-11 and natural lightning flashes to tall structures obtained in Guangzhou during 2009-11. The results show that the flash detection efficiency and stroke detection efficiency were about 94% (58/62) and 60% (97/162), respectively. The arithmetic mean and median values for location error were estimated to be about 710 and 489 m, respectively, when more than two reporting sensors were involved in the location retrieval (based on 87 samples). After eliminating one obviously abnormal sample, the absolute percentage errors of peak current estimation were within 0.4%^2%, with arithmetic mean and median values of about 16.3% and 19.1%, respectively (based on 21 samples).

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Evaluation of the Guang Dong lightning location system with transmission line fault data

Cited by 23 publications

References 9 publications

Lightning Distribution and Eyewall Outbreaks in Tropical Cyclones during Landfall

Lightning Distribution and Eyewall Outbreaks in Tropical Cyclones during Landfall

Physical and observable characteristics of cloud‐to‐ground lightning over the Pearl River Delta region of South China

Performance Evaluation for a Lightning Location System Based on Observations of Artificially Triggered Lightning and Natural Lightning Flashes

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