Geospatial Analysis of Lightning Incident Zoning in Bangladesh
Lightning is one of the deadliest natural hazards in Bangladesh, claiming hundreds of lives annually and causing significant damage to infrastructure, especially in rural areas. This study presents a comprehensive analysis of lightning incidents across Bangladesh from 2017 to 2020, utilizing Geograp...
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| Formato: | Online |
| Idioma: | inglés |
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Jahangirnagar University
2025
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| Acceso en liña: | http://journals.juniv.edu/index.php/tjr/article/view/232 |
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| _version_ | 1873958291453771776 |
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| author | Hafsa, Bibi Kakon, Faria Akter Prokrity, Hafsa Mehjabin Islam, Md. Sazzadul Rafi, Md. Rafsanur |
| author_facet | Hafsa, Bibi Kakon, Faria Akter Prokrity, Hafsa Mehjabin Islam, Md. Sazzadul Rafi, Md. Rafsanur |
| author_sort | Hafsa, Bibi |
| collection | OJS |
| description | Lightning is one of the deadliest natural hazards in Bangladesh, claiming hundreds of lives annually and causing significant damage to infrastructure, especially in rural areas. This study presents a comprehensive analysis of lightning incidents across Bangladesh from 2017 to 2020, utilizing Geographic Information Systems (GIS) for spatial and temporal analysis. The primary objective of the study is to identify high-risk zones and temporal patterns to aid in the prediction and mitigation of lightning-related hazards. The study incorporates data from meteorological agencies, newspaper reports, and government databases, analyzing the frequency, intensity, and distribution of lightning incidents. Using advanced GIS tools such as Moran’s I for spatial autocorrelation and kriging interpolation for spatial distribution, the study identifies regions where lightning strikes are most prevalent and investigates the seasonal patterns of these incidents. The findings reveal that lightning incidents are highly clustered in specific regions, particularly during the pre-monsoon and monsoon seasons, with divisions like Sylhet, Khulna, and Rajshahi being disproportionately affected. Moreover, the results indicate a rise in lightning incidents over the study period, likely influenced by changing climatic conditions. The analysis provides valuable insights for policymakers and disaster management authorities, highlighting the need for region-specific interventions and public awareness campaigns. By mapping lightning-prone areas and identifying temporal trends, the report contributes to the development of targeted strategies to reduce lightning-related deaths and injuries, enhancing overall public safety in Bangladesh. |
| format | Online |
| id | ojs-232 |
| institution | My University |
| language | eng |
| publishDate | 2025 |
| publisher | Jahangirnagar University |
| record_format | ojs |
| spelling | ojs-2322025-10-16T03:16:15Z Geospatial Analysis of Lightning Incident Zoning in Bangladesh Hafsa, Bibi Kakon, Faria Akter Prokrity, Hafsa Mehjabin Islam, Md. Sazzadul Rafi, Md. Rafsanur Lightning spatial autocorrelation kriging interpolation spatial distribution temporal trends Lightning is one of the deadliest natural hazards in Bangladesh, claiming hundreds of lives annually and causing significant damage to infrastructure, especially in rural areas. This study presents a comprehensive analysis of lightning incidents across Bangladesh from 2017 to 2020, utilizing Geographic Information Systems (GIS) for spatial and temporal analysis. The primary objective of the study is to identify high-risk zones and temporal patterns to aid in the prediction and mitigation of lightning-related hazards. The study incorporates data from meteorological agencies, newspaper reports, and government databases, analyzing the frequency, intensity, and distribution of lightning incidents. Using advanced GIS tools such as Moran’s I for spatial autocorrelation and kriging interpolation for spatial distribution, the study identifies regions where lightning strikes are most prevalent and investigates the seasonal patterns of these incidents. The findings reveal that lightning incidents are highly clustered in specific regions, particularly during the pre-monsoon and monsoon seasons, with divisions like Sylhet, Khulna, and Rajshahi being disproportionately affected. Moreover, the results indicate a rise in lightning incidents over the study period, likely influenced by changing climatic conditions. The analysis provides valuable insights for policymakers and disaster management authorities, highlighting the need for region-specific interventions and public awareness campaigns. By mapping lightning-prone areas and identifying temporal trends, the report contributes to the development of targeted strategies to reduce lightning-related deaths and injuries, enhancing overall public safety in Bangladesh. Jahangirnagar University 2025-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Conference Proceedings Submission application/pdf http://journals.juniv.edu/index.php/tjr/article/view/232 10.59185/tjr.v49i2.232 The Jahangirnagar Review; Vol. 49 No. 2 (2025); 100-123 1682-7422 10.59185/tjr.v49i2 eng http://journals.juniv.edu/index.php/tjr/article/view/232/175 Copyright (c) 2025 The Jahangirnagar Review |
| spellingShingle | Lightning spatial autocorrelation kriging interpolation spatial distribution temporal trends Hafsa, Bibi Kakon, Faria Akter Prokrity, Hafsa Mehjabin Islam, Md. Sazzadul Rafi, Md. Rafsanur Geospatial Analysis of Lightning Incident Zoning in Bangladesh |
| title | Geospatial Analysis of Lightning Incident Zoning in Bangladesh |
| title_full | Geospatial Analysis of Lightning Incident Zoning in Bangladesh |
| title_fullStr | Geospatial Analysis of Lightning Incident Zoning in Bangladesh |
| title_full_unstemmed | Geospatial Analysis of Lightning Incident Zoning in Bangladesh |
| title_short | Geospatial Analysis of Lightning Incident Zoning in Bangladesh |
| title_sort | geospatial analysis of lightning incident zoning in bangladesh |
| topic | Lightning spatial autocorrelation kriging interpolation spatial distribution temporal trends |
| topic_facet | Lightning spatial autocorrelation kriging interpolation spatial distribution temporal trends |
| url | http://journals.juniv.edu/index.php/tjr/article/view/232 |
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