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The relationship between extreme rainfall depths and flood volumes under the assumption of exponentally-taildd probability distributions

机译:指数尾概率分布假设下极端降雨深度与洪水量的关系

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The fact that precipitation records are in many instances longer. more accurate, and more readily regionalized than flood discharge records has motivated the development of methodologies for incorporating the hydrometeorological information into flood frequency anlaysis. In particular, those described by Guillot and Duband (1967) and Naghettini et al. (1996) involve assumptions regarding the relationship between rainfall depths and flood volumes under extreme conditions, which are crucial for transferring the hydrometeorological information to flood frequency curves. These assumptions, common to both methodologies, are valid for rainfall probability distributions showing asymptotically exponential-like upper-tails and were introduced by Guillot and Duband (1967), as part of the so-called GRADEX method for flood frequency analysis.
机译:降水记录在许多情况下会更长。比洪水流量记录更准确,更容易地区化,这促使将水文气象信息纳入洪水频率分析的方法学的发展。特别是,Guillot和Duband(1967)和Naghettini等人描述的那些。 (1996年)包括关于极端条件下降雨深度与洪水量之间关系的假设,这对于将水文气象信息转换为洪水频率曲线至关重要。这些假设对于两种方法都是通用的,对于显示渐近指数状上尾的降雨概率分布有效,并且由Guillot和Duband(1967)引入,作为所谓的洪水频率分析GRADEX方法的一部分。

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