CORRELATION ANALYSIS BETWEEN LIGHTNING ACTIVITY AND RADAR DATA, CASE STUDY IN PALEMBANG, INDONESIA

LINTANG, BINTANG FURQON and Sidik, Muhammad Abu Bakar (2023) CORRELATION ANALYSIS BETWEEN LIGHTNING ACTIVITY AND RADAR DATA, CASE STUDY IN PALEMBANG, INDONESIA. Undergraduate thesis, Sriwijaya University.

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Abstract

Lightning is a natural phenomenon that occurs during rain, Lightning can be divided into two types based on where it occurs. Cloud to Ground Flash (CG-flash) and Intra-Cloud Flash. This study aims to observe the relationship between lightning activity and radar images of Palembang recorded at the BMKG station. This research is used to determine lightning activity suitability based on radar data. Lightning activity data and radar data were obtained from BMKG, with 970 activities on 24 February. Lightning activity data is classified based on type, and radar imagery is classified based on high decibel (DBZ). The types of lightning can be cloud-to-ground (CG) and intra-cloud (IC) types, with each having 668 negative clouds to the ground, 172 positive cloud-to-ground, and 130 intra-cloud, with the highest DBZ value on 24 February being 60 DBZ. The results show that the relationship between lightning activity and radar data is r = 0. 3, and each lightning correlates r = 0.30 on the negative cloud to ground, r = 0.29 on the negative cloud to ground, and r = 0.32 on the intra cloud. These data indicate that the results of the correlation between lightning activity and radar data have a positive value.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Radar, Lightning activity, DBZ, BMKG, Negative Cloud to Ground
Subjects:	Q Science > QC Physics > QC701-715.4 Electric discharge Q Science > QC Physics > QC994.95-999 Weather forecasting T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Bintang Furqon Lintang
Date Deposited:	28 Jul 2023 03:37
Last Modified:	28 Jul 2023 03:37
URI:	http://repository.unsri.ac.id/id/eprint/123243

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