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이순혁,맹승진,Lee Soon-hyuk,Maeng Sung-jin 한국관개배수위원회 1995 한국관개배수논문집 Vol.2 No.1
It was attempted to get an optimal method for the prediction of design low flows among derivation . techniques of design low flows. Derivation techniques of design low Hon used in this study are Type III extremal, Gumbel-Chow distribution, SMEMAX(Small, M
Log Pearson Type III 분포 모형에 의한 매개변수 유도방법별 설계홍수량의 비교 고찰
이순혁,정연수,맹승진,유경식,Lee Soon-hyuk,Jong Youn-su,Maeng Sung-jin,Ryoo Kyong-sik 한국관개배수위원회 1997 한국관개배수논문집 Vol.4 No.1
This study was conducted to derive optimal design floods by Log Pearson Type III distribution model of the annual maximum series at five watersheds along Geum, Yeong San and Seom Jin river systems. Design floods obtained by different methods for evaluatio
Gamma 및 비Gamma군 분포모형에 의한 강우의 지점 및 지역빈도 비교분석 (Ⅱ)
이순혁,류경식,Lee , Soon-Hyuk,Ryoo, Kyong-Sik 한국농공학회 2004 한국농공학회논문집 Vol.46 No.5
This study was conducted to derive the regional design rainfall by the regional frequency analysis based on the regionalization of the precipitation. The optimal regionalization of the precipitation data were classified by the above mentioned regionalization for all over the regions except Jeju and Ulleung islands in Korea. Design rainfalls following the consecutive duration were derived by the regional analysis using the observed and simulated data resulted from Monte Carlo techniques. Relative root mean square error (RRMSE), relative bias (RBIAS) and relative reduction (RR) in RRMSE for the design rainfall were computed and compared between the regional and at-site frequency analysis. It has shown that the regional frequency analysis procedure can substantially more reduce the RRMSE, RBIAS and RR in RRMSE than those of at-site analysis in the prediction of design rainfall. Consequently, optimal design rainfalls following the classified regions and consecutive durations were derived by the regional frequency analysis using Generalized extreme value distribution which was identified to be more optimal one than the other applied distributions. Diagrams for the design rainfall derived by the regional frequency analysis using L-moments were drawn according to the regions and consecutive durations by GIS techniques.
極値流量의 最適分布型과 極値確率 流量에 關한 水文學的 硏究 -錦江流域의 渴水量을 中心으로-
이순혁,한중석,Lee, Soon-Hyuk,Han, Chung-Suck 한국농공학회 1979 한국농공학회논문집 Vol.21 No.4
In order to obtain the basic data for design of water structures which can be contributed to the planning of water use. Best fitted distribution function and the equations for the probable minimum flow were derived to the annual minimum flow of five subwatersheds along Geum River basin. The result were analyzed and summarized as follows. 1. Type III extremal distribution was considered as a best fit one among some other distributions such as exponential and two parameter lognormal distribution by $x^2$-goodness of fit test. 2. The minimum flow are analyzed by Type III extremal distribution which contains a shape parameter $\lambda$, a location parameter ${\beta}$ and a minimum drought $\gamma$. If a minimum drought $\gamma=0$, equations for the probable minimum flow, $D_T$, were derived as $D_T={\beta}e^{\lambda}1^{y'}$, with two parameters and as $D_T=\gamma+(\^{\beta}-\gamma)e^{{\lambda}y'}$ with three parameters in case of a minimum drought ${\gamma}>0$ respectively. 3. Probable minimum flow following the return periods for each stations were also obtained by above mentioned equations. Frequency curves for each station are drawn in the text. 4. Mathematical equation with three parameters is more suitable one than that of two parameters if much difference exist between the maximum and the minimum value among observed data.
Generalized Gamma 분포 모형의 매개변수 유도 방법에 의한 설계홍수량의 비교분석
이순혁,맹승진,류경식,Lee Soon-hyuk,Maeng Sung-jin,Ryoo Kyong-sik 한국관개배수위원회 1998 한국관개배수논문집 Vol.5 No.1
This study was conducted to derive optimal design floods by generalized gamma distribution model of the annual maximum series at six watersheds along Han and Nag Dong river systems. Design floods obtained by different methods for estimation of parameters
水利構造物의 破壞危險度와 設計洪水量에 관한 水文學的 硏究(Ⅰ) -年最高値 系列을 中心으로-
이순혁,박명근,Lee, Soon-Hyuk,Park, Myeong-Keun 한국농공학회 1985 한국농공학회논문집 Vol.27 No.2
This studies were carried out to get characteristics of frequency distribution, probable flood flows according to the return periods, and the correlation between return periods and those length of records affect the Risk of failure in the annual maximum series of the main river systems in Korea. Especially, Risk analysis according to the levels were emphasized in relation to the design frequency factors for the different watersheds. Twelve watersheds along Han, Geum, Nak Dong, Yeong San and Seom Jin river basin were selected as studying basins. The results were analyzed and summarized as follows. 1. Type 1 extremal distribution was newly confirmed as a good fitted distribution at selected watersheds along Geum and Yeong San river basin. Three parameter lognormal Seom Jin river basin. Consequently, characteristics of frequency distribution for the extreme value series could be changed in connection with the watershed location even the same river system judging from the results so far obtained by author. 2. Evaluation of parameters for Type 1 extremal and three parameter lognormal distribution based on the method of moment by using an electronic computer. 3. Formulas for the probable flood flows were derived for the three parameter lognormal and Type 1 extremal distribution. 4. Equations for the risk to failure could be simplified as $\frac{n}{N+n}$ and $\frac{n}{T}$ under the condition of non-parametric method and the longer return period than the life of project, respectively. 5. Formulas for the return periods in relation to frequency factors were derived by the least square method for the three parameter lognormal and Type 1 extremal distribution. 6. The more the length of records, the lesser the risk of failure, and it was appeared that the risk of failure was increasing in propotion to the length of return periods even same length of records. 7. Empirical formulas for design frequency factors were derived from under the condition of the return periods identify with the life of Hydraulic structure in relation to the risk level. 8. Design frequency factor was appeared to be increased in propotion to the return periods while it is in inverse proportion to the levels of the risk of failure. 9. Derivation of design flood including the risk of failure could be accomplished by using of emprical formulas for the design frequency factor for each watershed.
이순혁,맹승진,Lee Soon-hyuk,Maeng Sung-jin 한국관개배수위원회 1996 한국관개배수논문집 Vol.3 No.1
This study was conducted to simulate long series of synthetic monthly flows by harmonic synthetic and harmonic regression models and to make a comparison of statistical parameters between observed and synthetic flows of six watersheds in Yeong San and Seo
이순혁 ( Lee Soon Hyuk ),박명근 ( Park Myeong Keun ),맹승진 ( Maeng Sung Jin ),정연수 ( Jong Youn Su ),김동주 ( Kim Dong Joo ),류경식 ( Ryoo Kyong Sik ) 한국농공학회 1998 한국농공학회 학술대회초록집 Vol.1998 No.-
This study was conducted to derive optimal design floods by Generalized Extreme-value(GEV) distribution for the annual maximum series at ten watersheds along Han, Nagdong, Geum, Yeongsan and Seomjin river systems. Adequacy for the analysis of flood data used in this study was established by the tests of Independence, Homogeneity, detection of Outliers. L-coefficient of variation, L-skewness and L-kurtosis were calculated by L-moment ratio respectively. Parameters were estimated by the Methods of Moments and L-Moments. Design floods obtained by Methods of Moments and L-Moments using different methods for plotting positions in GEV distribution were compared by the relative mean and relative absolute error. It was found that design floods derived by the method of L-moments using weibull plotting position formula in GEV distribution are much closer to those of the observed data in comparison with those obtained by method of moments using different formulas for plotting positions in view of relative mean and relative absolute error.
Weibull-3및 GEV 분포모형의 L-모멘트법에 의한 홍수빈도 비교분석
이순혁 ( Lee Soon Hyuk ),송기헌 ( Song Ki Hyun ),맹승진 ( Maeng Sung Jin ),류경식 ( Ryoo Kyong Sik ),김동주 ( Kim Dong Joo ),지호근 ( Jee Ho Keun ) 한국농공학회 1999 韓國農工學會誌 : 전원과 자원 Vol.41 No.4
This study was conducted to derive optimal design floods by Generalized Extreme Value(GEV) and Weibull-3 distributions for the annual maximum series at ten watersheds along Han, Nagdong, Geum, Yeongsan and Seomjin river systems. Adequacy for the analysis of flood data used in this study was established by the tests of Independence. Homogeneity, detection of Outlines, L-moments. Design flood obtained by Methods of Moments and L-Moments using different methods for plotting positions in BEV and Weibull-3 distributions were compared by the Relative Mean Errors(RME) and Root Mean Square Errors(RMSE). The result was found that design floods derived by the L-moments using the other formulas for plotting positions from the viewpoint of Relative Mean Errors and Root Mean Square Errors.
Weibull-3 분포모형의 모멘트법 및 L-모멘트법에 의한 홍수빈도비교분석
이순혁 ( Lee Soon Hyuk ),맹승진 ( Maeng Sung Jin ),송기헌 ( Song Ki Hyun ),류경식 ( Ryoo Kyong Sik ),지호근 ( Jae Ho Keun ) 한국농공학회 1998 한국농공학회 학술대회초록집 Vol.1998 No.-
This study was carried out to derive optimal design floods by Weibull-3 distribution with the annual maximum series at seven watersheds along Man, Nagdong, Geum, Yeongsan and Seomjin river systems. Adequacy for the analysis of flood data used in this study was acknowledged by the tests of Independence, Homogeneity, detection of Outliers. Parameters were estimated by the Methods of Moments and L-Moments. Design floods obtained by Methods of Moments and L-Moments using different methods for plotting positions in Weibull-3 distribution were compared by the rotative mean error and relative absolute error. It has shown that design floods derived by the method of L-moments using Weibull plotting position formula in Weibull-3 distribution are much closer to those of the observed data in comparison with those obtained by method of moments using different formulas for plotting positions in view of relative mean and relative absolute error.