• 물과 미래
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• 제18권4호
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• pp.317-325
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• 1985

본 연구에서는 낙동강, 한강 및 금강의 중요관측지점의 월평균 유출량을 분석에 사용하였으며, 먼저 일정유량(Truncation level) 별로 Run-length와 Run-sum에 대한 2-변수 Gamma 분포 및 대수정규분포의 적합성 여부를 검토하였던 바 Gamma 모델이 적합한 것으로 판명된 자료와 실측치와 비교하였다. 그리고 Run-length 및 Run-sum에 대한 일정유량별로 평균치의 변화에 대한 성질을 구명하였다.

• 한국농공학회지
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• 제35권3호
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• pp.100-116
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• 1993

It is experienced fact that unreasonable design criterion and unsitable operation management for the agricultural structures including reservoirs based on short terms data of monthly flows have been brought about not only loss of lives, but also enormous property damage. For the solution of this point at issue, this study was conducted to simulate long series of synthetic monthly flows by multi-season first order Markov model with selection of best fitting frequency distribution and to make a comparison of statistical parameters between observed and synthetic flows of six watersheds in Yeong San and Seom Jin river systems. The results obtained through this study can be summarized as follows. 1.Both Gamma and two parameter lognormal distribution were found to be suitable ones for monthly flows in all watersheds by Kolmogorov-Smirnov test while those distributions were judged to be unfitness in Nam Pyeong of Yeong San and Song Jeong and Ab Rog watersheds of Seom Jin river systems in the $\chi$$^2$ goodness of fit test. 2.Most of the arithmetic mean values for synthetic monthly flows simulated by Gamma distribution are much closer to the results of the observed data than those of two parameter lognomal distribution in the applied watersheds. 3.Fluctuation for the coefficient of variation derived by Gamma distribution was shown in general as better agreement with the results of the observed data than that of two parameter lognormal distribution in the applied watersheds both in Yeong San and Seom Jin river systems. Especially, coefficients of variation calculated by Gamma distribution are seemed to be much closer to those of the observed data during July and August. 4.It can be concluded that synthetic monthly flows simulated by Gamma distribution are seemed to be much closer to the observed data than those by two parameter lognormal distribution in the applied watersheds. 5.It is to be desired that multi-season first order Markov model based on Gamma distribution which is confirmed as a good fitting one in this study would be compared with Harmonic synthetic model as a continuation follows.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2007년도 춘계학술발표논문집
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• pp.91-94
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• 2007

본 연구는 소유역의 강수계측망별 빈도해석에 의한 확률강우량 예측으로 최적 설계홍수량을 추적하고자 한다 빈도해석은 대전유역내 지방기상청의 낮은 계측망 멸도와 13개 소구역으로 분할된 지자체의 높은 계측망 멸도에서 측정된 강우량 자료를 대상으로 하였다 해석에는 낮은 밀도의 한 지점에서 $1969{\sim}2005$년까지 36년간 자료와 높은 밀도의 13 개 지점에서 $2002{\sim}2006$년까지 6년간 자료를 연초과치 계열로 확장하여 각각 2개군으로 구성하였다 강우자료 분석결과 낮은 밀도의 지속기간 1시간에서 79.1mm, 장시간에서 327.0mm, 높은 밀도의 지속기간 1시간에서 85.0mm, 24시간에서 245.0mm로 나타났다. 본 연구에서는 Gumbel 분포와 2변수 Gamma 분포 및 일반극치분포, $2{\cdot}3$ 변수 대수정규분포, 2변수 Weibull 분포에 ${\chi}^2$검정, K-S 검정으로 적합도를 검정하여 Gumbel 분포가 가장 적합한 것으로 나타났다 유도된 강우강도-지속기간-재현기간 관계식은 소유역내 확률강우강도 예측과 설계홍수량 산정에 유용하게 사용될 수 있을 것이다.