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GIS-Based Visualization of Lightning Activities in Peninsular Malaysia and Its Correlation With Monsoon Seasons

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dc.citedby0
dc.contributor.authorAhmad N.A.en_US
dc.contributor.authorKadir M.Z.A.A.en_US
dc.contributor.authorYa N.N.C.en_US
dc.contributor.authorAmirulddin U.A.U.en_US
dc.contributor.authorRoslan N.en_US
dc.contributor.authorid58882735900en_US
dc.contributor.authorid25947297000en_US
dc.contributor.authorid59522898000en_US
dc.contributor.authorid26422804600en_US
dc.contributor.authorid57205233093en_US
dc.date.accessioned2025-03-03T07:45:09Z
dc.date.available2025-03-03T07:45:09Z
dc.date.issued2024
dc.description.abstractThe paper presents a method for visualizing lightning occurrence maps using three years of data in Peninsular Malaysia from 2017 to 2019. The lightning occurrence maps were made to understand lightning distribution patterns and determine the high-activity regions. This was accomplished using advanced Geographic Information System (GIS) software combined with an in-depth base map of Peninsular Malaysia with lightning stroke data from Vaisala GLD360. This study has shown the extent to which the lightning occurrence mapping technique works for classifying lightning distribution and determining hotspot locations during monsoon season. The largest total distribution of lightning strikes occurred in May, with 5,157,797 counts (16.5%). The Inter-Monsoon season has the highest average of lightning strokes, occurring in April, May, October, and November with 51.85% within three years. The longest lightning stroke duration occurs between 8 AM and 9 AM with the total amount of average are 293,113 (33.9%). The lightning strokes were evenly scattered throughout the visualization analysis to correspond with the monsoon season's variations these results are important for utility and protection engineers because they may significantly improve the reliability of electrical networks by reducing power outages caused by lightning strokes. ? 2024 IEEE, ? VDE VERLAG GMBH � Berlin � Offenbach.en_US
dc.description.natureFinalen_US
dc.identifier.epage1010
dc.identifier.scopus2-s2.0-85215701210
dc.identifier.spage1005
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85215701210&partnerID=40&md5=9d419a3f77b1bc4e2b2b7db80932c8fa
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36847
dc.pagecount5
dc.publisherVDE Verlag GmbHen_US
dc.sourceScopus
dc.sourcetitleICLP 2024 - 37th International Conference on Lightning Protection
dc.subjectLightning protection
dc.subjectMapping
dc.subjectMaps
dc.subjectAdvanced geographic information system
dc.subjectDistribution patterns
dc.subjectGeographic information
dc.subjectGeographic information system software
dc.subjectHigh activity
dc.subjectLightning activity
dc.subjectLightning distribution
dc.subjectLightning strokes
dc.subjectMalaysia
dc.subjectMonsoon season
dc.subjectVisualization
dc.titleGIS-Based Visualization of Lightning Activities in Peninsular Malaysia and Its Correlation With Monsoon Seasonsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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