Regionalization of unit hydrograph Parameters: 2. Uncertainty analysis

Keh-Chia Yeh*, J. C. Yang, Yeou-Koung Tung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Hydrologic model parameters obtained from regional regression equations are subject to uncertainty. Consequently, hydrologic model outputs based on the stochastic parameters are random. This paper presents a systematic analysis of uncertainty associated with the two parameters, N and K, in Nash's IUH model from different regional regression equations. The uncertainty features associated with N and K are further incorporated to assess the uncertainty of the resulting IUH. Numerical results indicate that uncertainty of N and K from the regional regression equations are too significant to be ignored.

Original languageEnglish
Pages (from-to)173-192
Number of pages20
JournalStochastic Hydrology and Hydraulics
Volume11
Issue number2
DOIs
StatePublished - Apr 1997

Keywords

  • Probabilistic point estimation methods
  • Regression analysis
  • Uncertainty analysis
  • Unit hydrograph

Fingerprint Dive into the research topics of 'Regionalization of unit hydrograph Parameters: 2. Uncertainty analysis'. Together they form a unique fingerprint.

Cite this