Articles | Volume 28, issue 4
https://doi.org/10.5194/hess-28-801-2024
https://doi.org/10.5194/hess-28-801-2024
Research article
 | 
20 Feb 2024
Research article |  | 20 Feb 2024

Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management

Tossapol Phoophiwfa, Prapawan Chomphuwiset, Thanawan Prahadchai, Jeong-Soo Park, Arthit Apichottanakul, Watchara Theppang, and Piyapatr Busababodhin

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Cited articles

Arunyanart, N., Limsiri, C., and Uchaipichat, A.: Flood hazards in the Chi River Basin, Thailand: impact management of climate change, Appl. Ecol. Env. Res., 15, 841–861, https://doi.org/10.15666/aeer/1504_841861, 2017. a
Bader, B. and Yan, J.: eva: Extreme value analysis with goodness-of-fit testing, CRAN [code], https://CRAN.R-project.org/package=eva (last access: 10 May 2023), 2020. a
Bhakar, S., Bansal, A. K., Chhajed, N., and Purohit, R.: Frequency analysis of consecutive days maximum rainfall at Banswara, Rajasthan, India, J. Eng. Appl. Sci., 1, 64–67, 2006. a, b
Bridhikitti, A., Ketuthong, A., Prabamroong, T., Li, R., Li, J., and Liu, G.: How do sustainable development-induced land use change and climate change affect water balance? A case study of the Mun River Basin, NE Thailand, Water Resour. Manag., 37, 2737–2756, 2023. a
Busababodhin, P. and Kaewmun, A.: Extreme Values Statistics, The Journal of KMUTNB, 25, 315–324, 2015. a
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Short summary
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.