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http://dx.doi.org/10.3741/JKWRA.2003.36.2.315

A Comparative Study on Lowflow Quantiles Estimation in Han River Basin  

Kim, Kyung-Duk (한국시설안전기술공단 진단2본부 댐항만실)
Kim, Don-Soo (건설교통부 예산담당관)
Heo, Jun-Haeng (연세대학교 사회환경시스템공학부)
Kim, Kyu-Ho (한국건설기술연구원 수자원환경부)
Publication Information
Journal of Korea Water Resources Association / v.36, no.2, 2003 , pp. 315-324 More about this Journal
Abstract
Stream flow data was analyzed for determining the lowflow which is the standard for river maintenance flow. Lowflow quantiles were estimated based on the parametric and nonparametric methods and two methods were compared by Monte Carlo simulation study. As the results of the parametric method, three probability distributions such as gamma-2, lognormal-2 and Weibull-2, are selected as appropriate models for stream flow data of 13 stations in Han River Basins. According to simulation results, relative bias (RBIAS) and relative root mean square error (RRMSE) of the lowflow quantiles are the smallest when the applied and population models are the same. The fame statistical properties from the nonparametric models are good within the interpolation range. Among 7 bandwidth selectors used in this study, the RRMSEs of the Park and Marron method (PM) are the smallest while those of the Shoaler and Jones method (SJ) are the largest.
Keywords
lowflow quantile; parametric method; nonparametic; method; Monte Carlo simulation; relative bias; relative; root mean square error;
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