Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm

Soon Ho Kwon, Young Hwan Choi, Donghwi Jung, Joong Hoon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The tank model among various deterministic Rainfall-Runoff (RR) models is often preferred for its simple concepts by many previous studies. However, it requires much time and effort to obtain better results owing to the need to calibrate a number of parameters in the tank model. The demand for an automatic calibration method has been increasing. The success of heuristic optimization algorithms enables many researchers to focus on the other aspect of the various objective function for tank model rather than parameter calibration. In this study, Multi-objective Harmony Search Algorithm was performed for an automatic calibration. The proposed study enables parameter calibration of four storage types of tank model with 14 parameters and six scenarios based on the four objective functions. A proposed tank model, which determines optimal solution (e.g., parameters of tank model; calibration results) under four different objective functions, respectively, were compared to demonstrate tradeoff relationship between measurements data and observation data for a Daecheong dam watershed in South Korea. The proposed tank model with six different scenarios could be a successful alternative RR model with its increased accuracy and Pareto solution.

Original languageEnglish
Title of host publicationAdvances in Harmony Search, Soft Computing and Applications, ICHSA 2019
EditorsJoong Hoon Kim, Zong Woo Geem, Donghwi Jung, Do Guen Yoo, Anupam Yadav
PublisherSpringer
Pages76-81
Number of pages6
ISBN (Print)9783030319663
DOIs
Publication statusPublished - 2020 Jan 1
Event5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 - Kunming, China
Duration: 2019 Jul 202019 Jul 22

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1063
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019
CountryChina
CityKunming
Period19/7/2019/7/22

Keywords

  • Multi-objective Harmony Search Algorithm
  • Rainfall-runoff model
  • Tank model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Kwon, S. H., Choi, Y. H., Jung, D., & Kim, J. H. (2020). Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm. In J. H. Kim, Z. W. Geem, D. Jung, D. G. Yoo, & A. Yadav (Eds.), Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019 (pp. 76-81). (Advances in Intelligent Systems and Computing; Vol. 1063). Springer. https://doi.org/10.1007/978-3-030-31967-0_9