DBPapers
DOI: 10.5593/SGEM2014/B31/S12.071

PROBABILISTIC MODELS OF MAXIMUM PRECIPITATION

B. Kazmierczak
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-13-1 / ISSN 1314-2704, June 19-25, 2014, Book 3, Vol. 1, 547-554 pp

ABSTRACT
The paper presents the method for model formation to describe the maximum rainfall depth for practical applications. The precipitation models presented in the paper can be a comprehensive solution to the problem of input data for designing and testing the hydraulic capacity of sewer systems in hydrodynamic modeling. For description of precipitation phenomena, the following distributions were used: Gumbel (Maximum Extreme Value Type 1), Fréchet (Maximum Extreme Value Type 2) and Weibull (Maximum Extreme Value Type 3) distribution. The estimates of the parameters of the density function were determined by maximum likelihood method. The probability distributions were evaluated by the Anderson-Darling test, in order to determine the best one.

Keywords: rainfall, probability distribution, maximum extreme value