Improving accuracy of IDF curves using long- and short-duration separation and multi-objective genetic algorithm

Taesoon Kim, Ju Young Shin, Kewtae Kim, Jun-Haeng Heo

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

2 Citations (Scopus)

Abstract

Multi-objective genetic algorithm (MOGA) and cumulative distribution function (CDF) are used to improve the accuracy of IDF curve. Rainfall durations are divided into short- and long-duration using root mean squared error (RMSE) and relative root mean squared error (RRMSE) between rainfall quantiles by IDF curve and at-site frequency analysis. RMSE could be used for estimating parameters of relatively long-duration, and RRMSE for short-duration. The compromised solutions could be ahieved through MOGA with two multi-objective functions. The duration separating technique called C0MBI-1 is suggested and the comparison with the five different parameter estimation methods provides COMBI-1 is superior to the other methods.

Original languageEnglish
Title of host publicationWorld Environmental and Water Resources Congress 2008
Subtitle of host publicationAhupua'a - Proceedings of the World Environmental and Water Resources Congress 2008
DOIs
Publication statusPublished - 2008 Dec 1
EventWorld Environmental and Water Resources Congress 2008: Ahupua'a - Honolulu, HI, United States
Duration: 2008 May 122008 May 16

Publication series

NameWorld Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008
Volume316

Other

OtherWorld Environmental and Water Resources Congress 2008: Ahupua'a
CountryUnited States
CityHonolulu, HI
Period08/5/1208/5/16

Fingerprint

genetic algorithm
Genetic algorithms
rainfall
frequency analysis
estimation method
Rain
Parameter estimation
Distribution functions
parameter estimation
method
distribution
comparison
parameter

All Science Journal Classification (ASJC) codes

  • Management, Monitoring, Policy and Law
  • Water Science and Technology
  • Pollution

Cite this

Kim, T., Shin, J. Y., Kim, K., & Heo, J-H. (2008). Improving accuracy of IDF curves using long- and short-duration separation and multi-objective genetic algorithm. In World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008 (World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008; Vol. 316). https://doi.org/10.1061/40976(316)128
Kim, Taesoon ; Shin, Ju Young ; Kim, Kewtae ; Heo, Jun-Haeng. / Improving accuracy of IDF curves using long- and short-duration separation and multi-objective genetic algorithm. World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. 2008. (World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008).
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abstract = "Multi-objective genetic algorithm (MOGA) and cumulative distribution function (CDF) are used to improve the accuracy of IDF curve. Rainfall durations are divided into short- and long-duration using root mean squared error (RMSE) and relative root mean squared error (RRMSE) between rainfall quantiles by IDF curve and at-site frequency analysis. RMSE could be used for estimating parameters of relatively long-duration, and RRMSE for short-duration. The compromised solutions could be ahieved through MOGA with two multi-objective functions. The duration separating technique called C0MBI-1 is suggested and the comparison with the five different parameter estimation methods provides COMBI-1 is superior to the other methods.",
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Kim, T, Shin, JY, Kim, K & Heo, J-H 2008, Improving accuracy of IDF curves using long- and short-duration separation and multi-objective genetic algorithm. in World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008, vol. 316, World Environmental and Water Resources Congress 2008: Ahupua'a, Honolulu, HI, United States, 08/5/12. https://doi.org/10.1061/40976(316)128

Improving accuracy of IDF curves using long- and short-duration separation and multi-objective genetic algorithm. / Kim, Taesoon; Shin, Ju Young; Kim, Kewtae; Heo, Jun-Haeng.

World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. 2008. (World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008; Vol. 316).

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

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Kim T, Shin JY, Kim K, Heo J-H. Improving accuracy of IDF curves using long- and short-duration separation and multi-objective genetic algorithm. In World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. 2008. (World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008). https://doi.org/10.1061/40976(316)128