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A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory

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dc.citedby1
dc.contributor.authorLeong Y.W.en_US
dc.contributor.authorGoh S.M.en_US
dc.contributor.authorChau C.F.en_US
dc.contributor.authorVoon B.W.N.en_US
dc.contributor.authorOng H.S.en_US
dc.contributor.authorYahaya M.P.en_US
dc.contributor.authorAbdullah N.en_US
dc.contributor.authorMohd Hatta N.en_US
dc.contributor.authorTial M.K.S.en_US
dc.contributor.authorSulaiman N.F.en_US
dc.contributor.authorid58510406700en_US
dc.contributor.authorid25521891600en_US
dc.contributor.authorid25824209000en_US
dc.contributor.authorid57193526784en_US
dc.contributor.authorid58848804100en_US
dc.contributor.authorid26423408100en_US
dc.contributor.authorid26422769600en_US
dc.contributor.authorid57204270850en_US
dc.contributor.authorid57191107065en_US
dc.contributor.authorid57215633057en_US
dc.date.accessioned2025-03-03T07:43:51Z
dc.date.available2025-03-03T07:43:51Z
dc.date.issued2024
dc.description.abstractMalaysia has a high amount of lightning events due to its geographical location and tropical climate, leading to substantial destruction of electrical systems and human injuries. Despite numerous studies connecting lightning activity with environmental factors, few had explored the multi-year correlation between strike patterns and times. The present study proposed a new approach employing graph theory to express Cloud-to-Ground Lightning (CGL) strike data. Using data mapping and vertex matrices, this technique visualizes CGL behavior, offering insights into lightning characteristics. The relationship between the CGL strike data across three years (2013, 2014, and 2015) was studied by using simple matching coefficient technique. Results indicate a robust positive correlation between directed graphs created across these years, suggesting consistent CGL strike behaviors in certain regions at Malaysia. The proposed method, in the form of directed edges, reduces the complexity of computation hence making it a promising integration to existing lightning prediction systems. ? 2023 THE AUTHORSen_US
dc.description.natureFinalen_US
dc.identifier.ArtNo102610
dc.identifier.doi10.1016/j.asej.2023.102610
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85183409035
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85183409035&doi=10.1016%2fj.asej.2023.102610&partnerID=40&md5=7f2a7f33de45bdbcb08b7ec98ca88e52
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36678
dc.identifier.volume15
dc.publisherAin Shams Universityen_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleAin Shams Engineering Journal
dc.subjectClouds
dc.subjectLightning
dc.subjectCloud-to-ground lightning
dc.subjectDetection networks
dc.subjectGeographical locations
dc.subjectGround lightning strikes
dc.subjectLightning detection
dc.subjectLightning detection network
dc.subjectLightning path
dc.subjectMalaysia
dc.subjectThreat assessment
dc.subjectTNBR LDN
dc.subjectDirected graphs
dc.titleA 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theoryen_US
dc.typeArticleen_US
dspace.entity.typePublication
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