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Author:

Wang, Mingming (Wang, Mingming.) | Zhou, Yuwen (Zhou, Yuwen.) (Scholars:周玉文) | Zhao, Shuqi (Zhao, Shuqi.) | Wang, Lei (Wang, Lei.)

Indexed by:

EI Scopus

Abstract:

To ensure the rationality of rainwater tank design, we need to deduce rainfall depth formula. Apply the latest fifty years daily rainfall data of the city of Beijing, based on the theory of probability analysis and statistics, four candidate distributions (Three-Parameter Lognormal, Pearson Type III, Generalized Extreme Value and Two-Parameter Exponential) were used to fit the observed data and find the most appropriate distribution. The annual multi-sampling series method was used to process rainfall depth data. The assessment was based on the Kolmogorov-Smirnov test combined with maximum absolute error. Finally the expression of the rainfall depth formula was obtained. On the basis of estimation results, it can be concluded that, four distributions do seem to fit the data sets well. The Three-Parameter Lognormal distribution is the most appropriate distribution for describing the annual multi-sampling rainfall series. The rainfall depth formula is given. The method of deriving rainfall depth formula may be employed to other city or region. Rainfall depth formula with determined parameters may use to generate daily rainfall depths with different recurrence intervals.

Keyword:

Estimation Rain gages Sampling Rain Probability distributions Statistics

Author Community:

  • [ 1 ] [Wang, Mingming]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Zhou, Yuwen]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Zhao, Shuqi]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Wang, Lei]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Shenyang Jianzhu University (Natural Science)

ISSN: 1671-2021

Year: 2008

Issue: 2

Volume: 24

Page: 274-277

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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