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| MIxture Distribution Fittinf and Modeling for Regional Frequency Analysis of Maximum Wind Speed Over South Korea |
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| MIxture Distribution Fittinf and Modeling for Regional Frequency Analysis of Maximum Wind Speed Over South Korea |
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Nima Ghazijahani, Taesam Lee |
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| Abstract |
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this study, we tried to determine and investigate meteorologically homogeneous regions and to derive regional wind frequency estimates for 68 gauged sites in South Korea using an index wind method with L-moments and harmony search parameter estimation. Comparative regional wind frequency estimates were made for the tested region using various distributions, namely the Generalized Logistic (GLOG), General Extreme Value (GEV), Generalized Pareto (GPAR), Weibull. Furthermore, we applied three types of twocomponent mixture distributions, built by combination of Gumbel and Gamma distributions with five-parameters such as Gumbel-Gumbel (GumGum) ,Gamma-Gamma (GamGam), and Gamma-Gumbel (GamGum) distribution models. Their parameters are estimated
by harmony search method (HS). The results of the current study showed that the Weibull distribution is identified as the bestfit distribution in Korea. In other words, Weibull as a suitable distribution with three parameters for other Korean stations. |
| Key Words:
Maximum wind speed; Mixture distribution; Regional frequency analysis |
| 요지 |
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본 연구에서는, L-moments와 Harmony Search 파라미터 추정법을 사용하여 지역빈도해석을 통한 한국 68개소의 설계풍속을 도출하는 연구를 실시하였다. 기존에 일반적으로 풍속 산정에 적용된 Generalized Logistic (GLOG), General Extreme Value (GEV), Generalized Pareto (GPAR), Weibull의 분포형에 적용하여 설계 풍속값을 산정하였을 뿐만 아니라 Gamma와 Gumbel의 분포를 조합시킨 혼합분포형을 이용하여서도 설계값을 산정하였다. 산정결과, 한국에서는 Weibull분포가 가장 적절한 분포모형임을 알 수 있었다. 기존에 적용되지 않았던 새로운 혼합형 분포형도 특정지역에서 충분히 사용가능한 분포형이 될 수 있음을 알 수 있었다. |
| 핵심용어:
설계풍속; 혼합분포형; 지역빈도해석 |
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