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

Viewed

Total article views: 1,557 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,240 258 59 1,557 92 42 38
  • HTML: 1,240
  • PDF: 258
  • XML: 59
  • Total: 1,557
  • Supplement: 92
  • BibTeX: 42
  • EndNote: 38
Views and downloads (calculated since 19 Jul 2023)
Cumulative views and downloads (calculated since 19 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,557 (including HTML, PDF, and XML) Thereof 1,522 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Oct 2024
Download
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.