Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm

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

doi:10.1007/978-3-030-31967-0_9

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 proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019
Editors	Joong Hoon Kim, Zong Woo Geem, Donghwi Jung, Do Guen Yoo, Anupam Yadav
Publisher	Springer
Pages	76-81
Number of pages	6
ISBN (Print)	9783030319663
DOIs	https://doi.org/10.1007/978-3-030-31967-0_9
Publication status	Published - 2020
Event	5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 - Kunming, China Duration: 2019 Jul 20 → 2019 Jul 22

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1063
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019
Country/Territory	China
City	Kunming
Period	19/7/20 → 19/7/22

Bibliographical note

Funding Information:
Acknowledgment. This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A05005306).

Funding Information:
This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A05005306).

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

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

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-31967-0_9

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

Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm. / Kwon, Soon Ho; Choi, Young Hwan; Jung, Donghwi et al.
Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. ed. / Joong Hoon Kim; Zong Woo Geem; Donghwi Jung; Do Guen Yoo; Anupam Yadav. Springer, 2020. p. 76-81 (Advances in Intelligent Systems and Computing; Vol. 1063).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kwon, SH, Choi, YH, Jung, D & Kim, JH 2020, Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm. in JH Kim, ZW Geem, D Jung, DG Yoo & A Yadav (eds), Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. Advances in Intelligent Systems and Computing, vol. 1063, Springer, pp. 76-81, 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, 19/7/20. https://doi.org/10.1007/978-3-030-31967-0_9

Kwon, Soon Ho ; Choi, Young Hwan ; Jung, Donghwi et al. / Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm. Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. editor / Joong Hoon Kim ; Zong Woo Geem ; Donghwi Jung ; Do Guen Yoo ; Anupam Yadav. Springer, 2020. pp. 76-81 (Advances in Intelligent Systems and Computing).

@inproceedings{13f638b87b1946199a65a1243925939b,

title = "Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm",

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.",

keywords = "Multi-objective Harmony Search Algorithm, Rainfall-runoff model, Tank model",

author = "Kwon, {Soon Ho} and Choi, {Young Hwan} and Donghwi Jung and Kim, {Joong Hoon}",

note = "Funding Information: Acknowledgment. This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A05005306). Funding Information: This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A05005306). Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 ; Conference date: 20-07-2019 Through 22-07-2019",

year = "2020",

doi = "10.1007/978-3-030-31967-0_9",

language = "English",

isbn = "9783030319663",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "76--81",

editor = "Kim, {Joong Hoon} and Geem, {Zong Woo} and Donghwi Jung and Yoo, {Do Guen} and Anupam Yadav",

booktitle = "Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019",

}

TY - GEN

T1 - Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm

AU - Kwon, Soon Ho

AU - Choi, Young Hwan

AU - Jung, Donghwi

AU - Kim, Joong Hoon

N1 - Funding Information: Acknowledgment. This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A05005306). Funding Information: This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A05005306). Publisher Copyright: © 2020, Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Multi-objective Harmony Search Algorithm

KW - Rainfall-runoff model

KW - Tank model

UR - http://www.scopus.com/inward/record.url?scp=85076122204&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-31967-0_9

DO - 10.1007/978-3-030-31967-0_9

M3 - Conference contribution

AN - SCOPUS:85076122204

SN - 9783030319663

T3 - Advances in Intelligent Systems and Computing

SP - 76

EP - 81

BT - Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019

A2 - Kim, Joong Hoon

A2 - Geem, Zong Woo

A2 - Jung, Donghwi

A2 - Yoo, Do Guen

A2 - Yadav, Anupam

PB - Springer

T2 - 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019

Y2 - 20 July 2019 through 22 July 2019

ER -

Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this