E3S Web Conf.
Volume 17, 20179th Conference on Interdisciplinary Problems in Environmental Protection and Engineering EKO-DOK 2017
|Number of page(s)||9|
|Published online||24 May 2017|
Probabilistic approach of the Upper and Middle Odra basin daily rainfall modeling
1 Institute of Meteorology and Water Management – National Research Institute, 01-673 Warsaw Podlesna Street 61, Poland
2 Wrocław University of Science and Technology, Faculty of Environmental Engineering, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland
3 Institute of Environmental Protection and Development, Wrocław University of Environmental and Life Sciences, Poland pl. Grunwaldzki 24, 50-363 Wroclaw, Poland
* Corresponding author: firstname.lastname@example.org
The aim of this study was to obtain the maximum daily rainfall descriptions based on 9 probability distributions in 12 meteorological stations located in Upper and Middle Odra river basin. Analysis included long-term period from 1961 to 2010. Regarding to AIC and BIC informational criterions Gamma distribution that appeared to be best fitted probability distribution to measurement rainfall data series. For several stations, Pareto, Weibull and generalized exponential distributions were also possible to use. For practical purposes it is necessary to carry out a similar analysis for much shorter rainfall intervals. The final evaluation of the suitability of individual probability distributions for constructing maximum rainfall probabilistic models requires further research.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.