Application of modified nonlinear storage function on runoff estimation

Shiang Jen Wu, Lin-Fang Ho, Jinn-Chuang Yang

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

This study proposed a modified nonlinear storage function runoff model to take into account the storage hysteresis effect, in which there exists difference of the storage-discharge relationship between the rising and recession limb. Since the modified storage function runoff has seven parameter, a parameter-calibration method, which combines the genetic algorithm with the least square criterion. For model calibration and validation, twenty rainfall-runoff events (1968-2005) recorded at Wudu gage in Keelung River in northern Taiwan were used in the study. The results of model validation reveal that the modified storage function runoff model not only produces the realistic storage-discharge relationship, but also provides a good estimation of the runoff. (C) 2011 International Association of Hydro-environment Engineering and Research, Asia Pacific Division. Published by Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to) 37-47
Number of pages11
JournalJournal of Hydro-Environment Research
Volume5
Issue number1
DOIs
StatePublished - Mar 2011

Keywords

  • AUTOMATIC CALIBRATION; GENETIC ALGORITHM; MODEL PARAMETERS

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