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基于联合分布的设计暴雨方法 被引量:24

Design Storm Method Based on Bivariate Joint Distribution
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摘要 利用Gumbel-Hougaard Copula函数构建边缘分布均为PIII型分布的年最大日雨量与年最大七日雨量之间的联合分布。以隔河岩43年降雨资料为例进行分析,结果表明,年最大日雨量与年最大七日雨量联合观测值的理论分布和经验频率拟合较好。在年最大日雨量和年最大七日雨量的边缘分布和理论分布的基础上,推求两变量的联合分布、联合重现期,并基于联合分布推求设计暴雨值,以更加准确地根据设计条件推求设计暴雨过程。 The Gumbel-hougaard Copula function was used to analyze the joint distributions between annual maximum daily storm and seven-day storm amounts which are both with Pearson type Ⅲ marginal distributions. The rainfall data of the Geheyan reservoir during 1960 to 2002 were selected as a case study. The results show that a good agreement can be observed between theoretical joint and empirical distribution of annual maximum daily storm and the seven-day storm amounts. On the basis of the marginal and theoretical distributions of these two variables, the joint probability distribution and the related return periods of two variables can be deduced easily, much more exact design storm and storm processes can be obtained at certain condition.
出处 《水力发电》 北大核心 2008年第1期18-21,共4页 Water Power
基金 国家自然科学基金资助项目(50679063) 科技部国际合作项目(2005DFA20520)
关键词 设计暴雨 COPULA 年最大日雨量 联合分布 design storm Copula annual maximum daily storm joint distribution
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参考文献12

  • 1中华人民共和国水利部,能源部.水利水电工程设计洪水计算手册[M].北京:中国水利水电出版社,2001.
  • 2Hashino M. Formulation of the joint return of period of two hydrologic variates associated with a Poisson process [J]. Journal of Hydroscience and Hydraulic Engineering 1985,(3-2): 73-84.
  • 3Singh K, Singh VP. Derivation of bivariate probability density functions with exponential marginals [J]. Stochastic Hydrology and Hydraulics 1991, (5) :55-68.
  • 4Bscchi B, Becciu G, Kottegoda NT. Bivariate exponential model applied to intensities and durations of extreme rainfall [J]. Journal of Hydrology 1994,155:225-36.
  • 5Yue Sheng, The gumbel mixed model applied to storm frequency analysis[J]. Water Resources Management, 2000, (14), 377-389.
  • 6Yue Sheng, The gumbel logistic model for representing a multivariate storm event [J]. Advances in Water Resource,2001 ,(24): 179-185.
  • 7Yue Sheng, The bivariate lognormal distribution for describing joint statistical properties of a multivariate storm event[J]. Environmentrics. 2002, (13): 811-819.
  • 8De Michele C, .Salvadori G. A generalized pareto intensity-duration model of storm rainfall exploiting 2-copulas, Journal of Geophysical Research, 108(D2),10.1029/2002JD002534, 2003.
  • 9Zhang L, Singh V P. Bivariate rainfall frequency distributions using archimedean copulas [J]. Journal of Hydrology 2007 332, 93-109.
  • 10肖义,郭生练,熊立华,刘攀,方彬.一种新的洪水过程随机模拟方法研究[J].四川大学学报(工程科学版),2007,39(2):55-60. 被引量:51

二级参考文献14

  • 1韩义超,刘东.采用随机模拟技术与常规水文方法相结合的洪水过程模拟法[J].水文,1999,18(3):16-19. 被引量:11
  • 2丁晶,邓育仁,侯玉,梁棣.水库防洪安全设计时设计洪水过程线法适用性的探讨[J].水科学进展,1992,3(1):45-52. 被引量:30
  • 3熊立华,郭生练,肖义,袁汉芳.Copula联结函数在多变量水文频率分析中的应用[J].武汉大学学报(工学版),2005,38(6):16-19. 被引量:98
  • 4中华人民共和国水利部,中华人民共和国能源部.水利水电工程设计洪水计算规范SL44-93[S].北京:水利电力出版社,1993.
  • 5Yue S.The gmbel logistic model for representing a multivariate storm event[J].Advances in Water Resource,2001,24:179-185.
  • 6Salvadori G,De Michlele C.Frequency analysis via copulas:theoretical aspects and applications to hydrological events[J].Water Resource Research,2004,40(12):1-17.
  • 7中华人民共和国能源部、水利部.水利水电工程设计洪水计算手册[M].北京:中国水利水电出版社,2001.
  • 8Nelson R B.An introduction to Copulas[M].New York:Springer,1999.
  • 9Yue S,Quarda T B M J,Bobée B,et al.The Gumbel mixed model for flood frequency analysis[J].Journal of Hydrology,1999,226:88-100.
  • 10廖松,姚汝祥,翁文斌,杨存信,王小平.多年调节综合利用水库调度方案的随机模拟分析[J]水文,1987(02).

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