Determination of Clark unit hydrograph parameters for estimating probable maximum flood

Jinwook Lee, Chulsang Yoo

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The probable maximum flood (PMF) is the flood caused by the probable maximum precipitation (PMP). A unit hydrograph (UH) is generally used to derive the PMF for the given PMP, but a method is needed to modify the UH parameters to reflect the PMP condition. This study presents a new method using the estimated channel velocity to modify the Clark UH parameters under the ordinary condition into those under the PMP condition. This study considers major dam basins in Korea and evaluates the application results in comparison to several previous studies. As application results of the proposed method, the Clark UH parameters under the PMP condition are found to be within the range 39–53% of those under the ordinary condition, with their mean of about 44%. The UH derived by applying this mean ratio shows that its peak time and the peak flow are just 44 and 227% of the UH under the ordinary condition, respectively. This change from the ordinary condition to the PMP condition is more extreme in Korea than that in Australia and the United Kingdom. This extreme change seems to be due to the climate in Korea, located in the Asian Monsoon region.

Original languageEnglish
Article number245
JournalHydrology Research
Volume54
Issue number2
DOIs
Publication statusPublished - 2023 Feb 1

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A2C200871411), also by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2021R1A5A1032433).

Publisher Copyright:
© 2023 The Authors.

Keywords

  • Clark unit hydrograph
  • channel velocity
  • concentration time
  • probable maximum flood
  • probable maximum precipitation
  • storage coefficient

ASJC Scopus subject areas

  • Water Science and Technology

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