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Statistical Analysis of Probability Characteristics of Precipitation in Different Geographical Regionsстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 15 января 2020 г.
- Авторы: Vasilieva M., Gorshenin A., Korolev V.
- Журнал: Advances in Intelligent Systems and Computing
- Том: 902
- Год издания: 2020
- Первая страница: 629
- Последняя страница: 639
- DOI: 10.1007/978-3-030-12082-5_57
- Аннотация: 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.
- Добавил в систему: Горшенин Андрей Константинович