• 제목/요약/키워드: annual maximum

검색결과 956건 처리시간 0.026초

L-모멘트법에 의한 극치강우의 빈도분석 (Frequency Analysis of Extreme Rainfall by L-Moments)

  • 맹승진;이순혁;김병준
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2002년도 학술발표회 발표논문집
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    • pp.225-228
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    • 2002
  • This research seeks to derive the design rainfalls through the L-moment with the test of homogeneity, independence and outlier of data on annual maximum daily rainfall in 38 Korean rainfall stations. To select the fit appropriate distribution of annual maximum daily rainfall data according to rainfall stations, applied were Generalized Extreme Value (GEV), Generalized Logistic (GLO) and Generalized Pareto (GPA) probability distributions were applied. and their aptness was judged Dusing an L-moment ratio diagram and the Kolmogorov-Smirnov (K-S) test, the aptitude was judged of applied distributions such as GEV, GLO and GPA. The GEV and GLO distributions were selected as the appropriate distributions. Their parameters were estimated Targetingfrom the observed and simulated annual maximum daily rainfalls and using Monte Carlo techniques, the parameters of GEV and GLO selected as suitable distributions were estimated and. dDesign rainfallss were then derived, using the L-moment. Appropriate design rainfalls were suggested by doing a comparative analysis of design rainfall from the GEV and GLO distributions according to rainfall stations.

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3변수 확률분포에 의한 설계강우량 추정 (Estimation of Design Rainfall Using 3 Parameter Probability Distributions)

  • 이순혁;맹승진;류경식
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2004년도 학술발표회
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    • pp.595-598
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    • 2004
  • This research seeks to derive the design rainfalls through the L-moment with the test of homogeneity, independence and outlier of data on annual maximum daily rainfall at 38 rainfall stations in Korea. To select the appropriate distribution of annual maximum daily rainfall data by the rainfall stations, Generalized Extreme Value (GEV), Generalized Logistic (GLO), Generalized Pareto (GPA), Generalized Normal (GNO) and Pearson Type 3 (PT3) probability distributions were applied and their aptness were judged using an L-moment ratio diagram and the Kolmogorov-Smirnov (K-S) test. Parameters of appropriate distributions were estimated from the observed and simulated annual maximum daily rainfall using Monte Carlo techniques. Design rainfalls were finally derived by GEV distribution, which was proved to be more appropriate than the other distributions.

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3변수 확률분포형에 의한 극치강우의 빈도분석 (Frequency Analysis of Extreme Rainfall Using 3 Parameter Probability Distributions)

  • 김병준;맹승진;류경식;이순혁
    • 한국농공학회논문집
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    • 제46권3호
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    • pp.31-42
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    • 2004
  • This research seeks to derive the design rainfalls through the L-moment with the test of homogeneity, independence and outlier of data on annual maximum daily rainfall at 38 rainfall stations in Korea. To select the appropriate distribution of annual maximum daily rainfall data by the rainfall stations, Generalized Extreme Value (GEV), Generalized Logistic (GLO), Generalized Pareto (GPA), Generalized Normal (GNO) and Pearson Type 3 (PT3) probability distributions were applied and their aptness were judged using an L-moment ratio diagram and the Kolmogorov-Smirnov (K-S) test. Parameters of appropriate distributions were estimated from the observed and simulated annual maximum daily rainfall using Monte Carlo techniques. Design rainfalls were finally derived by GEV distribution, which was proved to be more appropriate than the other distributions.

Developmental and Environmental Sources of Variation on Annual Growth Increments of Ascophyllum nodosum (Phaeophyceae)

  • Eckersley, Lindsay K.;Garbary, David J.
    • ALGAE
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    • 제22권2호
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    • pp.107-116
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    • 2007
  • Annual growth segments of Ascophyllum nodosum (L.) Le Jolis (Fucales, Fucaceae) are denoted by air bladders that form each spring. By examining annual growth segments, it may be possible to infer information about the physical conditions during the growth period; however, it is uncertain whether the annual segments will expand in size after the initial growth. We examined A. nodosum segments from three populations in Nova Scotia, and statistically evaluated whether the annual growth (length, mass, and maximum diameter) of segments was independent of the age of the frond, whether the segments increased in size after the initial growth, and whether the segment lengths were correlated with mean water temperatures and mean air temperatures when the segments were formed. We found that the growth in length of A. nodosum is dependent on the age of the frond, but frond age explained less than 12 % of the overall variation in length. However, the mass and maximum diameter of segments were independent of the age of the frond. Differences occurred between the lengths of segments formed in different years, but there was no significant correlation with regional mean water or air temperatures. This study indicates that the length of A. nodosum segments may be an indicator of the annual physical characteristics of a site, but future studies are needed to identify which factors have the strongest influence on growth patterns.

다항함수를 이용한 건물의 연간부하 예측 방법에 관한 연구 (Study on the Annual Building Load Predicting Method using a Polynomial Function)

  • 윤희원;최승혁;류형규
    • 한국지열·수열에너지학회논문집
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    • 제13권1호
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    • pp.7-13
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    • 2017
  • In order to use and manage the building energy efficiently, it is necessary to minimize building energy consumptions, and establish operation plans of various equipment. The maximum heating and cooling load calculation is an essential way in various equipment selections, and the annual building load calculation is used in forecasting & evaluating the LCC required for operation plan. In this study, noting that the annual building load changes depending on outside temperature around year, we propose a predicting method of annual building load. By using the $4^{th}$ polynomial function that have two double radix and a feature the $f(x)=a^4$ in x = 0 condition, we can calculate annual building load very easily only with the two result (maximum heating and cooling load) and a minimum parameters.

Expected Overtopping P개bability Considering Real Tide Occurrence

  • Kweonl, Hyuck-Min;Lee, Young-Yeol;Oh, Young-Min
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2004년도 학술발표회
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    • pp.479-483
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    • 2004
  • A new calculation method of expected overtopping probability of rubble mound breakwater considering real tide occurrence has been proposed. A calculation method of expected overtopping probability of rubble mound breakwater was proposed by Kweon and Suh (2003). In their calculation, the fluctuation of tidal elevation was expressed by the sinusoidal change that yields the uniform distribution of occurrence frequency. However, the realistic distribution of tidal elevation should influence on the overtopping chance. In this study, the occurrence frequency of tidal elevation obtained from the real sea is included. The tidal elevation used in this study is collected from the east coastal part of Korean peninsular. Analyzing the annual data of the tidal fluctuation measured hourly during 355 days, the distribution of occurrence frequency is formulated utilizing by the normal distribution with one peak. Among the calculation procedures of annual maximum wave height, wave height-period joint distribution, wave run-up height and occurrence frequency of tide, only the annual maximum wave height is again chosen randomly from normal distribution to consider the uncertainty. The others are treated by utilizing the distribution function or relationship itself, It is found that the inclusion of the variability of tidal elevation has great influence on the computation of the expected overtopping probability of rubble mound breakwater. The bigger standard deviation of occurrence frequency is, the lower the overtopping probability of rubble mound breakwater is.

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독립호우사상의 확률론적 해석: 1. 연최대 호우사상 계열의 작성 (Probabilistic Analysis of Independent Storm Events: 1. Construction of Annual Maximum Storm Event Series)

  • 박민규;유철상
    • 한국방재학회 논문집
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    • 제11권2호
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    • pp.127-136
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    • 2011
  • 본 연구에서는 연최대치 호우사상을 결정하기 위해 총강우량과 강우강도를 함께 고려하여 계산한 재현기간을 기준으로 판단하는 방안을 제안하였다. 이러한 방법론은 서울 지점의 1961년 이후 관측된 자료를 대상으로 수행되었으며, 그 결과를 정리하면 다음과 같다. 먼저, 연최대 호우사상의 결정을 위해 이변량 지수분포를 적용하였다. 이변량 지수분포의 적용을 위한 모수추정은 전기간에 대해 수행하는 것보다는 연도별로 추정하는 것이 보다 합리적인 것으로 판단하였다. 선정된 호우사상들의 특성을 살펴보면, 먼저, 강수량이 많은 다우해에는 총강수량이 제일 많은 호우사상이 연최대 호우사상으로 선정되는 경향을 보인다. 강수량이 적은 과우해에는 상대적으로 강우강도가 큰 호우사상이 선정되는 경향이 있다. 이 두 특성은 각각 토양이 습윤한 경우와 건조한 경우 유출의 규모가 큰 호우사상을 선정할 가능성을 크게 해 주는 것이므로, 수문학적 최대호우의 개념도 어느 정도 만족시킨다고 할 수 있다. 선정된 연최대 호우사상의 평균적인 형태는, 강우지속기간이 1시간인 경우에는 강우강도 32.7 mm/hr(총강우량 32.7 mm), 지속기간 24시간인 경우에는 강우강도 9.7 mm/hr(총강우량 231.6 mm), 그리고 지속기간 48시간인 경우에는 강우강도 7.4 mm/hr(총강우량 355.0 mm) 등이다.

연최대치계열과 비연초과치계열으로부터 산정한 확률강우량의 비교·분석 (Comparison of Design Rainfalls From the Annual Maximum and the Non-annual Exceedance Series)

  • 박예준;권현한;정은성;김태웅
    • 대한토목학회논문집
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    • 제34권2호
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    • pp.469-478
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    • 2014
  • 확률수문량을 산정하기 위해서 실무에서 많이 사용하는 연최대치 계열은 자료의 구축이 간편한 장점이 있지만, 우리나라에서 연최대치 계열을 이용하기에는 자료의 수가 매우 제한적이다. 특히, 적은 관측자료를 바탕으로 확률강우량 또는 설계홍수량을 추정할 경우 과다산정을 할 가능성이 매우 높다. 본 연구에서는 기상청에서 제공하는 1973년부터 2012년까지 총 40년간의 관측자료를 대상으로 독립호우사상을 구분하고, 연최대치 계열과 비연초과치 계열을 구성한 후, 연최대치 계열과 비연초과치 계열로부터 산정된 확률강우량의 상관성을 분석하고, 적은 관측자료를 가지고 지점빈도해석을 수행하여 확률강우량을 추정할 수 있는 방법을 제안하였다.

계층적 베이지안 모델을 적용한 극치 해수위 비정상성 빈도 분석 (Hierarchical Bayesian Model Based Nonstationary Frequency Analysis for Extreme Sea Level)

  • 김용탁;오랑치맥 솜야;권현한;황규남
    • 한국해안·해양공학회논문집
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    • 제28권1호
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    • pp.34-43
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    • 2016
  • 국내의 연안은 지속적 발전으로 해수면 상승(sea level rise, SLR)으로 인한 연안재해 취약성이 가중될 것으로 전망되고 있다. 본 연구에서는 평균해수면 상승에 따른 극치조위 자료에 대한 비정상성 빈도분석을 수행하였다. Mann-Kendall(MK) 검정 결과 연평균조위(annual average tide)의 경우 17개 지점에서 경향성이 통계적으로 유의한 것으로 나타났으며, 연극치 조위의 경우에는 7개 지점에서 유의한 것으로 나타났다. 비정상성 빈도 해석 결과 2100년에 한반도 연안의 극치 해수면 변화는 최소 60.33 mm에서 최대 214.90 mm까지 증가하는 것으로 분석되었다.

지속기간별 강우자료의 적정분포형 선정을 통한 확률강우강도식의 유도 (Derivation of Rainfall Intensity-Duration-Frequency Equation Based on the Approproate Probability Distribution)

  • 허준행;김경덕;한정훈
    • 한국수자원학회논문집
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    • 제32권3호
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    • pp.247-254
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    • 1999
  • 우리 나라 주요 우량관측소 22개 지점의 매년 최대치 강우자료에 대하여 빈도해석을 실시하였다. 매개변수 추정방법은 모멘트법, 확률가중 모멘트법, 최우도법 등이며, 매개변수 적합성, 도시적 해석, 분리효과, 적합도 검정결과 GEV 분포가 우리 나라 강우자료에 대하여 가장 적합한 확률분포형으로 나타났다. 선정된 GEV 분포형을 모집단의 확률분포형으로 가정하여 재현기간별 확률강우량을 산정하므로써 지역적 해석을 실시하였으며, 정확도 있는 선형화 기법을 통해 회귀분석을 실시하여 확률강두강도식을 유도하였다. 본 연구에서 유도된 확률강우강도식은 실무차원에서 임의 지속기간의 재현기간별 확률강우량을 간편하게 구할 수 있을 것으로 판단된다.

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