Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management
Digital Innovation Research Cluster for Integrated Disaster Management in the Watershed, Mahasarakham University, Kantharawichai, Maha Sarakham 44150, Thailand
Prapawan Chomphuwiset
Digital Innovation Research Cluster for Integrated Disaster Management in the Watershed, Mahasarakham University, Kantharawichai, Maha Sarakham 44150, Thailand
Thanawan Prahadchai
Department of Mathematics and Statistics, Chonnam National University, Gwangju 61186, Korea
Jeong-Soo Park
Department of Mathematics and Statistics, Chonnam National University, Gwangju 61186, Korea
Arthit Apichottanakul
Department of Production System Technology and Industrial Management, Faculty of Technology, Khon Kaen University, Khon Kaen 44000, Thailand
Digital Innovation Research Cluster for Integrated Disaster Management in the Watershed, Mahasarakham University, Kantharawichai, Maha Sarakham 44150, Thailand
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Total article views: 3,718 (including HTML, PDF, and XML)
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Total article views: 2,640 (including HTML, PDF, and XML)
Thereof 2,622 with geography defined
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Total article views: 1,078 (including HTML, PDF, and XML)
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This study examines the impact of extreme rainfall events on flood risk management in Thailand's Chi watershed. By analyzing historical data, we identified regions, notably Udon Thani and Chaiyaphum, with a high risk of flash flooding. To aid in flood risk assessment, visual maps were created. The study underscores the importance of preparing for extreme rainfall events, particularly in the context of climate change, to effectively mitigate potential flood damage.
This study examines the impact of extreme rainfall events on flood risk management in Thailand's...
