A Study of the Movement and Intensity of Tropical Cyclones that Attacked Thailand's Northeastern Region

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Published: Mar 17, 2025
Keywords:
Tropical Cyclone Multiple Linear Regression Analysis Extreme Value Analysis Rainfall from Storms Return Level

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Athipakon Nathomthong
Data Science for Sustainable Agricultural Research Unit (DSSA), Mahasarakham University, Maha Sarakham, Thailand Department of Mathematics, Faculty of Science, Mahasarakham University, Maha Sarakham, Thailand
Sirirat Suwanit
Data Science for Sustainable Agricultural Research Unit (DSSA), Mahasarakham University, Maha Sarakham, Thailand Department of Mathematics, Faculty of Science, Mahasarakham University, Maha Sarakham, Thailand
Piyapat Busababidin
Data Science for Sustainable Agricultural Research Unit (DSSA), Mahasarakham University, Maha Sarakham, Thailand Department of Mathematics, Faculty of Science, Mahasarakham University, Maha Sarakham, Thailand
Manoon Doe-oi
The Meteorological Department, Ministry of Digital Economy and Society, Bangkok, Thailand

Abstract

The aims of this study are to examine and predict the movement patterns, intensity, and the storm precipitation distribution that will occur in the northeastern region of Thailand. Two approaches comprising the Multiple Linear Regression and the Extreme Value Analysis were applied to analyze daily maximum rainfall data during the storm days by using the R Studio program. Heavy storm information recorded by 28 meteorological stations disclosed 11 storms attacking Thailand during 2016–2020 (5 years). It was found that there were two tropical cyclones, namely Super Typhoon Rai and Tropical Storm Noul. These tropical cyclones were found to generate the greatest amount of rainfall. Thus, relevant agencies should get prepared to help the community to avoid impending threats or to address issues related to the impacts produced by tropical cyclones, specifically those with characteristics similar to Typhoon Rai and Typhoon Noul.

Article Details

Issue
Vol. 35 No. 2 (2025): April - June, 2025
Section
Applied Science Research Articles
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