气候变化领域集成服务门户(CCPortal): Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management

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DOI	10.5194/hess-28-801-2024
	Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management
	Phoophiwfa, Tossapol; Chomphuwiset, Prapawan; Prahadchai, Thanawan; Park, Jeong-Soo; Apichottanakul, Arthit; Theppang, Watchara; Busababodhin, Piyapatr
发表日期	2024
ISSN	1027-5606
EISSN	1607-7938
起始页码	28
结束页码	4
卷号	28 期号:4
英文摘要	Extreme rainfall events in the Chi watershed of northeastern Thailand have significant implications for the safe and economic design of engineered structures and effective reservoir management. This study investigates the characteristics of extreme rainfall events in the watershed and their implications for flood risk management. We apply extreme value theory to historical maximum cumulative rainfall data for consecutive rainy days from 1984 to 2022. The generalized Pareto distribution (GPD) was used to model the extreme rainfall data, with the parameters estimated using maximum likelihood estimation (MLE) and linear moment estimation (L-ME) methods based on specific conditions. The goodness-of-fit tests confirm the suitability of the GPD for the data, with p values exceeding 0.05. Our findings reveal that certain regions, notably Udon Thani, Chaiyaphum, Maha Sarakham, Tha Phra Agromet., Roi Et, and Sisaket provinces, show the highest return levels for consecutive 2 d (CONS-2) and 3 d (CONS-3) rainfall. These results underscore the heightened risk of flash flooding in these regions, even with short periods of continuous rainfall. Based on our findings, we developed 2D return level maps using the Q-geographic information system (Q-GIS) program, providing a visual tool to assist with flood risk management. The study offers valuable insights for designing effective flood management strategies and highlights the need for considering extreme rainfall events in water management and planning. Future research could extend our findings through spatial correlation analysis and the use of copula functions. Overall, this study emphasizes the importance of preparing for extreme rainfall events, particularly in the era of climate change, to mitigate potential flood-related damage.
语种	英语
WOS研究方向	Geology ; Water Resources
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS记录号	WOS:001190493400001
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300281
作者单位	Mahasarakham University; Chonnam National University; Khon Kaen University
推荐引用方式 GB/T 7714	Phoophiwfa, Tossapol,Chomphuwiset, Prapawan,Prahadchai, Thanawan,et al. Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management[J],2024,28(4).
APA	Phoophiwfa, Tossapol.,Chomphuwiset, Prapawan.,Prahadchai, Thanawan.,Park, Jeong-Soo.,Apichottanakul, Arthit.,...&Busababodhin, Piyapatr.(2024).Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management.HYDROLOGY AND EARTH SYSTEM SCIENCES,28(4).
MLA	Phoophiwfa, Tossapol,et al."Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management".HYDROLOGY AND EARTH SYSTEM SCIENCES 28.4(2024).