Lightning Detection System in Thailand by TOA Method

Authors

  • กมล ธีระกาญจน์
  • สุวิพล สิทธิชีวภาค
  • อรรณพ โรมา

Keywords:

TOA method, VLF, Lightning signal

Abstract

This paper presents a lightning detection system in Thailand by TOA method. This system receives lightning signal via VLF frequency to process by TOA method. This method is used to calculate lightning locations, when the system detects lightning signal. Our system will alert via Android phone if lightning happens nearby places. User can choose locations and alert points via android application. This system will help people to know lightning location. Since lightning generally occurs in same area so that we can prevent danger from lightning immediately.

References

[1] Aratha Rangphung, Pimpa Tachakamonsuk and Anong Sangchantip, “Severe Injuries from Lightning-Related Injuries under National Injury Suveillance System”, Weekly Epidemiological Surveillance Report, Volume 44 , Number 24 , July 12, 2013
[2] Pranee Wongchantae, “Lightning Phenomena and Protection ,” Journal of Education and Social Development , Volume 9 , No.1 , Academic Year 2013
[3] Swati Sharma, Shoba Krishnan and Ajay Khandare, “Orthogonal Magnetic Loop Antenna for Lightning Detection”, International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Special Issue for International Technological Conference-2014
[4] Miheer Mayekar , Anil Kulkarni , Bijith Marakarkandy , “Design and simulation of low frequency cloud to ground lightning receiver for severe weather monitoring application,” International Conference on Advanced Computing Technologies and Applications (ICACTA-2015)
[5] Hans D. Betz, Kersten Schmidt and Wolf P. Oettinger ,”Lightning: Principles, Instrument and Application,” Chapter 5 : LINET – An International VLF/LF Lightning Detection Network in Europe , 2009

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Published

2020-06-22

How to Cite

[1]
ธีระกาญจน์ ก. . ., สิทธิชีวภาค ส. . ., and โรมา อ. . ., “Lightning Detection System in Thailand by TOA Method”, Eng. & Technol. Horiz., vol. 34, no. 3, pp. 15–21, Jun. 2020.

Issue

Vol. 34 No. 3 (2017): July - September

Section

Research Articles

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