Investigation of Cluster-Based Cyclone Track Pattern Within the Bay of Bengal

Year 2022, Volume: 11 Issue: 3, 320 - 330, 30.09.2022

Md. Abdul Al Mohit , Md. Towhiduzzaman , Atish Kumar Joardar Mossa. Samima Nasrin Mst. Rabiba Khatun

https://doi.org/10.33714/masteb.1161479

Cited By: 1

https://izlik.org/JA96KX95XE

Abstract

Bangladesh is a highly disaster prone flat land country in south Asia. 80% of the disaster comes from cyclonic disaster around this area. To investigate the damage risk due to the cyclonic event around the Bay of Bengal associated with the cyclone track (CT) is an important issue. The present study has extensive analysis on generating a most favorable track along the Bay of Bengal from the MRI-AGCM cyclone track data. We have investigated present (1978-2003) and future (2075-2099) track data from the MRI-AGCM data set to ensure the synthetic track for the present and future climate conditions of Bangladesh. A k-mean clustering technique has been applied to investigate the synthetic track for the present and future climate condition. This work may insight the changes in cyclone track patterns in both the present and future climate conditions with the global warming scenario. This study has found that the Sundarbans and its adjacent areas are the risky coastline area of the landfall zone and for the global warming scenario it will be shifted to the Odisha area in India.

Keywords

Bangladesh , Climate , Global Warming , Storm , Tropical Cyclone

Supporting Institution

University Grant Commission (UGC) of Bangladesh, Department of Mathematics (Islamic University, Bangladesh)

Thanks

The first author acknowledges receipt of a project from the University Grant Commission (UGC) of Bangladesh. The first author would like to express his gratitude to the Government of Bangladesh for the project fund during the research period. We would also like to thank the staff of the Department of Mathematics (Islamic University, Bangladesh) for their endless support of laboratory facilities.

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