A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory
Malaysia 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 correl...
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2025
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my.uniten.dspace-366782025-03-03T15:43:51Z A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory Leong Y.W. Goh S.M. Chau C.F. Voon B.W.N. Ong H.S. Yahaya M.P. Abdullah N. Mohd Hatta N. Tial M.K.S. Sulaiman N.F. 58510406700 25521891600 25824209000 57193526784 58848804100 26423408100 26422769600 57204270850 57191107065 57215633057 Clouds Lightning Cloud-to-ground lightning Detection networks Geographical locations Ground lightning strikes Lightning detection Lightning detection network Lightning path Malaysia Threat assessment TNBR LDN Directed graphs Malaysia 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 AUTHORS Final 2025-03-03T07:43:51Z 2025-03-03T07:43:51Z 2024 Article 10.1016/j.asej.2023.102610 2-s2.0-85183409035 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183409035&doi=10.1016%2fj.asej.2023.102610&partnerID=40&md5=7f2a7f33de45bdbcb08b7ec98ca88e52 https://irepository.uniten.edu.my/handle/123456789/36678 15 4 102610 All Open Access; Gold Open Access Ain Shams University Scopus |
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Clouds Lightning Cloud-to-ground lightning Detection networks Geographical locations Ground lightning strikes Lightning detection Lightning detection network Lightning path Malaysia Threat assessment TNBR LDN Directed graphs |
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Clouds Lightning Cloud-to-ground lightning Detection networks Geographical locations Ground lightning strikes Lightning detection Lightning detection network Lightning path Malaysia Threat assessment TNBR LDN Directed graphs Leong Y.W. Goh S.M. Chau C.F. Voon B.W.N. Ong H.S. Yahaya M.P. Abdullah N. Mohd Hatta N. Tial M.K.S. Sulaiman N.F. A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory |
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Malaysia 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 AUTHORS |
| author2 |
58510406700 |
| author_facet |
58510406700 Leong Y.W. Goh S.M. Chau C.F. Voon B.W.N. Ong H.S. Yahaya M.P. Abdullah N. Mohd Hatta N. Tial M.K.S. Sulaiman N.F. |
| format |
Article |
| author |
Leong Y.W. Goh S.M. Chau C.F. Voon B.W.N. Ong H.S. Yahaya M.P. Abdullah N. Mohd Hatta N. Tial M.K.S. Sulaiman N.F. |
| author_sort |
Leong Y.W. |
| title |
A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory |
| title_short |
A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory |
| title_full |
A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory |
| title_fullStr |
A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory |
| title_full_unstemmed |
A 3-year observation on analyzing cloud-to-ground lightning in Peninsular Malaysia using graph theory |
| title_sort |
3-year observation on analyzing cloud-to-ground lightning in peninsular malaysia using graph theory |
| publisher |
Ain Shams University |
| publishDate |
2025 |
| _version_ |
1825816069401477120 |
| score |
13.244413 |