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二维复合极值分布理论在水利及防灾工程中的应用
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摘要
河口城市防洪设计水位是关系到人民生命、财产安全的重大研究课题。由于河口城市所处的特殊地理位置,其往往受到河流、海洋、气象等多种环境荷载的综合影响,因此如何合理确定极端环境荷载综合作用下的设计水位一直是工程人员普遍关心的问题。
     针对中国最大的河口城市——上海,本文分析了三种极端环境荷载——天文潮、风暴增水和长江径流增水对上海市防洪设计水位的综合作用,应用二维复合极值分布的具体形式之一:泊松—混合冈贝尔二维复合极值分布(PGMCED)模型,预测了天文大潮发生时风暴增水和长江上游洪峰下泄增水的联合概率。同时也应用基于重点抽样法的随机模拟技术来预测了天文潮、风暴增水和长江径流增水三者的联合概率,并得出了合理的结果。以上两种方法得到的结果对比用传统方法(如年极值法)得到的防洪设计标准,显示出本文给出了更加合理的计算防洪设计标准的方法。
     在本文中还将首次在洪水频率分析中应用PGMCED模型,即在考虑洪水发生频次符合泊松分布的条件下,对洪水的重要要素(洪峰流量、洪水总量)进行联合概率分析,并根据大通站洪水资料给出推算洪水设计值的实例,拓展了PGMECD模型在洪水频率分析方面的新应用,计算结果显示本模型具有更加合理可靠的优点。
It is one of the important problems to design the flood-prevention water level of the estuarine cities. Because of the special geographic location of the estuarine cities, they are affected by river ocean and meteorology environmental loads and so on. So how to determine the flood-prevention water level in the area is a question to need to study into it.
    This paper proposes a method to estimate the hydrological disaster prevention design criteria for the estuarine city Shanghai, the biggest estuarine city in China. Considering the combined effect of typhoon storm surge, flood peak from upper river Yangtze and astronomical spring tide, one type of the Bivariate Compound Extreme Distribution: the Poisson-Gumbel Mixed Compound Extreme Distribution is adopted to predict the joint probability of storm surge and flood in the condition of spring tide. The stochastic simulation technique based on the Importance Sampling Procedure is also used to predict joint probability of storm surge, flood and spring tide. In comparison with the traditional method botn of them give more reasonable design criteria for coastal defence of Shanghai.
    This paper also proposes the Poisson-Gumbel Mixed Compound Extreme
    Distribution model to analyze flood frequency--the joint probability
    of flood peaks and statistically corresponding volumes. The model is
    
    
    tested and validated using observed flood data from the hydrological station Datong of river Yangtze.
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