Communications for Statistical Applications and Methods

  • 제31권1호
  • /
  • Pages.37-53
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  • 2024
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Regional flood frequency analysis of extreme rainfall in Thailand, based on L-moments

  • 투고 : 2023.08.10
  • 심사 : 2023.10.14
  • 발행 : 2024.01.31
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초록

In this study, flood records from 79 sites across Thailand were analyzed to estimate flood indices using the regional frequency analysis based on the L-moments method. Observation sites were grouped into homogeneous regions using k-means and Ward's clustering techniques. Among various distributions evaluated, the generalized extreme value distribution emerged as the most appropriate for certain regions. Regional growth curves were subsequently established for each delineated region. Furthermore, 20- and 100-year return values were derived to illustrate the recurrence intervals of maximum rainfall across Thailand. The predicted return values tend to increase at each site, which is associated with growth curves that could describe an increasing long-term predictive pattern. The findings of this study hold significant implications for water management strategies and the design of flood mitigation structures in the country.

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과제정보

The authors are grateful to the reviewers and the Editors for their valuable and constructive comments. Observational data and the characteristics of 25 basin data in the Thailand are provided by TMD at http://www.tmd.go.th/ and HAII at https://tiwrm.hii.or.th/, respectively. The authors are grateful to Tossapol Phoophiwfa who helped a lot for plotting a map of 25 basins location in Thailand. This research was supported by under the framework of international cooperation program managed by the NRF of Korea (2022K2A9A1A01097935) and the BK21 FOUR (Fostering Outstanding Universities for Research, NO.5120200913674) funded by the Ministry of Education (MOE) and National Research Foundation of Korea (NRF). Piyapatr's research was financially supported by Mahasarakham University and funded by the Agricultural Research Development Agency (Public Organization) of Thailand, (ARDA).

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