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基于多变量联合分布推求设计洪水过程线的新方法 被引量:26

Derivative design flood hydrograph based on trivariate joint distribution
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摘要 针对现行设计洪水计算方法存在的不足,初步建立包含历史洪水信息的多维Copula联合分布模型,构造洪峰与时段洪量之间的多变量联合分布,推导三变量情形下的联合重现期,提出推求设计洪水过程线的新方法。以三峡水库的设计洪水为例,分析论证该法的可行性及合理性。结果表明:本文所建的多变量联合分布模型合理,设计洪水过程线以联合重现期作为防洪标准,考虑了洪水特征量之间的相关性,更加符合水文现象的内在规律和工程实际的要求,为推求设计洪水过程线提供一条新的途径。 To improve conventional design flood hydrograph analysis method, a trivariate joint distribution model accounting for historical flood information was preliminarily established. A new design flood hydrograph (DFH) method was proposed based on the trivariate joint distribution of flood peak and volumes. The design flood hydrograph of the Three Gorges reservoir was selected as a case study. The proposed DFH method selects the trivariate return period as flood prevention standard and considers the correlation between flood peak and volumes. The results show that the trivariate joint distribution model is feasible and fits the inherent rules of hydrological events better than conventional method. This study provides an alternative approach to derivation of DFH in hydraulic engineering practice.
出处 《水力发电学报》 EI CSCD 北大核心 2013年第3期10-14,38,共6页 Journal of Hydroelectric Engineering
基金 国家科技支撑计划(2009BAC56B01) 国家自然科学基金项目(51079100) 水利部公益性行业科研专项(200901001)
关键词 水文学 设计洪水过程线 历史洪水 COPULA函数 多变量分析 hydrology design flood hydrograph historical flood Copula function trivariate analysis
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参考文献9

  • 1中华人民共和国水利部.水利水电工程设计洪水计算规范[M].北京:中国水利水电出版社,2006.
  • 2肖义,郭生练,刘攀,方彬.基于Copula函数的设计洪水过程线方法[J].武汉大学学报(工学版),2007,40(4):13-17. 被引量:57
  • 3XIAO Yi, GUO Shenglian. A new design flood hydrograph method based on bivariate joint distribution [ C ]. Hydrological Sciences for Managing Water Resources in the Asian Developing World (Proceedings of a symposium in Guangzhou, China, June 2006 ). IAHS Publ. 319, 2008 : 75-82.
  • 4Zhang L, Singh V P. Trivariate flood frequency analysis using the Gumbel-Hougaard Copula [ J ]. Journal of Hydrologic Engineering, 2007, 12 (4) : 431-439.
  • 5Favre A C, Adlouni S E, Perrault L, Thi6monge N, Bob6e B. Multivariate hydrological frequency analysis using Copulas [ J]. Water Resources Research, 2004, 40, WO1101, doi: 10. 1029/2004WR002456.
  • 6Nelsen R B. An introduction to Copulas [ M]. Springer, New York, 1999.
  • 7Joe H. Multivariate models and dependence concepts [ M ]. Chapman & Hail, London, 1997.
  • 8Genest C, Ghoudi K, Rivest L P. A semiparametfie estimation procedure of dependence parameters in multivariate families of distribution [ J ]. Biometrika, 1995 : 543-552.
  • 9Zhang L. Multivariate hydrological frequency analysis and risk mapping [ D ]. Louisiana State University, Baton Rouge, Louisiana (USA), 2OO5.

二级参考文献12

  • 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:101
  • 4Yue S,Quarda T B M J,Bobée B,Legendre P,Bruneau P.The Gumbel mixed model for flood frequency analysis[J].Journal of Hydrology,1999,226:88-100.
  • 5Yue S.The Gumbel logistic model for representing a multivariate storm event[J].Advances in Water Resource,2001,24:179-185.
  • 6Nelson R B.An Introduction to Copulas[M].New York:Springer,1999.
  • 7Favre A C,Adlouni S E,Perrault L,Thiémonge N,Bobée B.Multivariate hydrological frequency analysis using Copulas[J].Water Resource Research,2004,40(1):W01101.
  • 8Salvadori G,De Michlele C.Frequency analysis via Copulas:Theoretical aspects and applications to hydrological events[J].Water Resource Research,2004,40(12):W12511.
  • 9Shiau J T.Return period of bivariate distributed extreme hydrological events[J].Stochastic Environment and Risk Assessment,2003(7):42-57.
  • 10Sprent P.Applied Nonparametric Statistical Methods[M].London:Chapman & Hall,1989.

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