Hydrological modelling uncertainty analysis for different flow quantiles: a case study in two hydro-geographically different watersheds

Getachew Tegegne, Young Oh Kim, Seung Beom Seo, Youngil Kim

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

This study focuses on analysis of hydrological model parameter uncertainty at varying sub-basin spatial scales. It was found that the variation in sub-basin spatial scale had little influence on the entire flow simulations. However, the different sub-basin spatial scales had a significant impact on the reproduction of the flow quantiles. The coarser sub-basin spatial scale provided a better coverage of most prediction uncertainty in observations. However, the finer sub-basin spatial scale produced the best single simulation output closer to the observations. In general, the optimal sub-basin spatial scales (ratio to the entire watershed size) in the two test watersheds were found to be in the ranges 14–19% and 2–4% for good simulation of high and low flows, respectively. It is therefore worthwhile to put more effort into reproducing different flow quantiles by investigating an appropriate sub-basin spatial scale.

Original languageEnglish
Pages (from-to)473-489
Number of pages17
JournalHydrological Sciences Journal
Volume64
Issue number4
DOIs
StatePublished - 12 Mar 2019

Keywords

  • Ethiopia
  • Gilgelabay
  • SWAT
  • South Korea
  • Yongdam
  • parameter uncertainty
  • sub-basin spatial scale

Fingerprint

Dive into the research topics of 'Hydrological modelling uncertainty analysis for different flow quantiles: a case study in two hydro-geographically different watersheds'. Together they form a unique fingerprint.

Cite this