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Statistical Analysis of Probability Characteristics of Precipitation in Different Geographical Regions

机译:不同地理区降水概率特征的统计分析

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Some results of the statistical analysis of the observed regularities in some characteristics of the precipitation process are presented in the paper. The importance of this problem is emphasized by that the information concerning the regularities in duration of wet and dry periods plays a significant role in predicting floods and preventing them. It is demonstrated that the fluctuations of durations of wet or dry periods can be successfully modeled by the negative binomial probability distribution. The parameters of this distribution as well as moment characteristics such as expectation, variance, and variation coefficient are calculated for numerous stations in Europe, Russia, and neighboring countries. The values of these parameters of statistical regularities inherent in the data under study can significantly improve the efficiency and accuracy of intellectual data analysis by introducing additional features at the learning stage without any actual increase of the amount of available data.
机译:本文提出了在沉淀过程的一些特征中对观察到的规则统计分析的一些结果。强调了这个问题的重要性,通过潮湿和干燥时期的持续时间内的规律信息在预测洪水并防止它们方面发挥着重要作用。结果证明,湿润或干燥时段的持续时间的波动可以通过负二项级概率分布成功建模。该分布的参数以及欧洲,俄罗斯和邻国的众多车站计算了期望,方差和变化系数的时刻特征。通过在学习阶段引入其他特征的情况下,在研究下的数据中固有的这些参数的价值可以显着提高知识数据分析的效率和准确性,而无需任何实际增加的可用数据量。

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