Potentiality of Kernel Density Estimation Tool for Tropical Cyclone Frequency Analysis in Bangladesh
Bangladesh is particularly vulnerable to cyclones and storm surges because of its unique geographical location and climatic variability. Bangladesh suffered numerous destructive cyclones that destroyed lives and property. The 1970 Bhola cyclone, 1991 Gorky cyclone, and 2007 Sidr cyclone caused many...
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| Format: | Online |
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Jahangirnagar University
2024
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| Online Access: | http://journals.juniv.edu/index.php/tjr/article/view/284 |
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| author | Tuya, Jannatun Hussna Coalee, Ummul Momanin Ahmed, Raju |
| author_facet | Tuya, Jannatun Hussna Coalee, Ummul Momanin Ahmed, Raju |
| author_sort | Tuya, Jannatun Hussna |
| collection | OJS |
| description | Bangladesh is particularly vulnerable to cyclones and storm surges because of its unique geographical location and climatic variability. Bangladesh suffered numerous destructive cyclones that destroyed lives and property. The 1970 Bhola cyclone, 1991 Gorky cyclone, and 2007 Sidr cyclone caused many deaths, massive economic loss, and infrastructural destruction. In this context, cyclone risk zoning provides crucial insights and viewpoints that help communities, governments, and organizations plan for and reduce its consequences. Hence, using kernel density estimation to analyze cyclone risk zoning in Bangladesh may offer valuable comprehension. The researcher collected the required secondary data from BMD, IMD, EM-DAT, JTWC etc., to prepare a vast GIS database for cyclone hazards in Bangladesh. The spatial distribution of tropical cyclones in Bangladesh has been analyzed using ArcGIS tools like, track digitization, kernel density estimation etc. The kernel density estimation has been performed in 1960 to 2023 cyclone frequency and track data. A detailed mapping of cyclonic events across the Indian Ocean was followed by an analysis of tropical cyclone frequency in Bangladesh, taking into consideration their Bay of Bengal distribution. The geographical distribution of cyclonic activity shows that the northern Bay of Bengal is more prone to tropical cyclones than the southern bay. The kernel density calculation illustrates three prominent cyclone risk zones: high-risk, moderate-risk, and high-wind-risk. Kernel density analysis provides a detailed comprehension of regions characterized by a high concentration of cyclone impact. This strategy can help with resource allocation and focusing activities on areas that demand more concern. |
| format | Online |
| id | ojs-284 |
| institution | My University |
| language | eng |
| publishDate | 2024 |
| publisher | Jahangirnagar University |
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| spelling | ojs-2842026-08-10T09:27:35Z Potentiality of Kernel Density Estimation Tool for Tropical Cyclone Frequency Analysis in Bangladesh Tuya, Jannatun Hussna Coalee, Ummul Momanin Ahmed, Raju Spatial distribution Geostatistics Monsoon Bay of Bengal Cyclone susceptibility Cyclone Risk Zoning Bangladesh is particularly vulnerable to cyclones and storm surges because of its unique geographical location and climatic variability. Bangladesh suffered numerous destructive cyclones that destroyed lives and property. The 1970 Bhola cyclone, 1991 Gorky cyclone, and 2007 Sidr cyclone caused many deaths, massive economic loss, and infrastructural destruction. In this context, cyclone risk zoning provides crucial insights and viewpoints that help communities, governments, and organizations plan for and reduce its consequences. Hence, using kernel density estimation to analyze cyclone risk zoning in Bangladesh may offer valuable comprehension. The researcher collected the required secondary data from BMD, IMD, EM-DAT, JTWC etc., to prepare a vast GIS database for cyclone hazards in Bangladesh. The spatial distribution of tropical cyclones in Bangladesh has been analyzed using ArcGIS tools like, track digitization, kernel density estimation etc. The kernel density estimation has been performed in 1960 to 2023 cyclone frequency and track data. A detailed mapping of cyclonic events across the Indian Ocean was followed by an analysis of tropical cyclone frequency in Bangladesh, taking into consideration their Bay of Bengal distribution. The geographical distribution of cyclonic activity shows that the northern Bay of Bengal is more prone to tropical cyclones than the southern bay. The kernel density calculation illustrates three prominent cyclone risk zones: high-risk, moderate-risk, and high-wind-risk. Kernel density analysis provides a detailed comprehension of regions characterized by a high concentration of cyclone impact. This strategy can help with resource allocation and focusing activities on areas that demand more concern. Jahangirnagar University 2024-06-30 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/284 10.59185/tjr.v48i1.284 The Jahangirnagar Review; Vol. 48 No. 1 (2024); 87-106 1682-7422 10.59185/tjr.v48i1 eng http://journals.juniv.edu/index.php/tjr/article/view/284/242 Copyright (c) 2025 The Jahangirnagar Review |
| spellingShingle | Spatial distribution Geostatistics Monsoon Bay of Bengal Cyclone susceptibility Cyclone Risk Zoning Tuya, Jannatun Hussna Coalee, Ummul Momanin Ahmed, Raju Potentiality of Kernel Density Estimation Tool for Tropical Cyclone Frequency Analysis in Bangladesh |
| title | Potentiality of Kernel Density Estimation Tool for Tropical Cyclone Frequency Analysis in Bangladesh |
| title_full | Potentiality of Kernel Density Estimation Tool for Tropical Cyclone Frequency Analysis in Bangladesh |
| title_fullStr | Potentiality of Kernel Density Estimation Tool for Tropical Cyclone Frequency Analysis in Bangladesh |
| title_full_unstemmed | Potentiality of Kernel Density Estimation Tool for Tropical Cyclone Frequency Analysis in Bangladesh |
| title_short | Potentiality of Kernel Density Estimation Tool for Tropical Cyclone Frequency Analysis in Bangladesh |
| title_sort | potentiality of kernel density estimation tool for tropical cyclone frequency analysis in bangladesh |
| topic | Spatial distribution Geostatistics Monsoon Bay of Bengal Cyclone susceptibility Cyclone Risk Zoning |
| topic_facet | Spatial distribution Geostatistics Monsoon Bay of Bengal Cyclone susceptibility Cyclone Risk Zoning |
| url | http://journals.juniv.edu/index.php/tjr/article/view/284 |
| work_keys_str_mv | AT tuyajannatunhussna potentialityofkerneldensityestimationtoolfortropicalcyclonefrequencyanalysisinbangladesh AT coaleeummulmomanin potentialityofkerneldensityestimationtoolfortropicalcyclonefrequencyanalysisinbangladesh AT ahmedraju potentialityofkerneldensityestimationtoolfortropicalcyclonefrequencyanalysisinbangladesh |