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Application of L-moments for IDF determination in an Austrian basin

机译:L矩在奥地利盆地IDF测定中的应用

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The aim of this paper is to evaluate a precise intensity-duration-frequency (IDF) relation for a small catchment area which is situated at the north part of Graz in Austria. In order to determine the probability of occurrence of any rainfall event, the frequency distribution, which can fit past characteristics on the magnitude and the probability of occurrence of such rainfalls, should be known. In this paper, in order to find the best-fit probability distribution model, some parameter estimation techniques such as L-moments and maximum likelihood models were used and for goodness of fit test, three methods were used as chi-square, Kolmogorov-Smirnov and the root mean square error (RMSE). In this paper, a comparison between four commonly used rainfall frequency distributions were carried out such as generalised extreme value (GHV), Gumbel, log-Pearson type 3 (LP3) and three-parameter log-normal (LN3). Finally, using the best-fit probability distribution, the IDF for this catchment area using a simple graphical method was determined.
机译:本文的目的是评估位于奥地利格拉茨北部小流域的精确强度-持续时间-频率(IDF)关系。为了确定发生任何降雨事件的概率,应知道频率分布,该频率分布可以适合过去的特征,并符合此类降雨的发生概率。为了找到最佳拟合概率分布模型,使用了一些参数估计技术,例如L矩和最大似然模型,并且为了拟合优度的检验,使用了三种方法作为卡方,Kolmogorov-Smirnov以及均方根误差(RMSE)。本文比较了四种常用的降雨频率分布,例如广义极值(GHV),Gumbel,对数-皮尔逊3型(LP3)和三参数对数正态(LN3)。最后,使用最佳拟合概率分布,使用简单的图形方法确定该集水区的IDF。

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