Issue |
E3S Web Conf.
Volume 100, 2019
11th Conference on Interdisciplinary Problems in Environmental Protection and Engineering EKO-DOK 2019
|
|
---|---|---|
Article Number | 00084 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/201910000084 | |
Published online | 10 June 2019 |
Attempts to establish a regional probabilistic model of intense rainfall for the Upper and Middle Oder River basin
1 Institute of Meteorology and Water Management - National Research Institute, Podlesna 61, 01-673 Warsaw, Poland
2 Wrocław University of Science and Technology, Faculty of Environmental Engineering, Plac Grunwaldzki 13, 50-377 Wrocław, Poland
3 Czech Hydrometeorological Institute, Hydrology Database and Water Budget Department, Na Sabatce 2050/17, 143 06 Prague 412, Czechia
* Corresponding author: marcin.wdowikowski@imgw.pl
The main scope of this study was to present the possibility of developing a heavy rainfall regional model, based on a probabilistic approach. Following the methods and conclusions of the scientific and technical work of the research team in the Upper and Middle Oder basin, carried out on rainfall data between 1961 and 2010, it was found that the generalized exponential distribution enables a satisfactory probabilistic description of heavy rainfall, and the results of the models constructed on its basis are obtained in an accessible and not time-consuming way. The regional model presented in the article sufficiently describes the empirical heavy rainfall at eight analyzed meteorological stations, especially in the range of rainfall amounts occurring most frequently from a statistical point of view, i.e. with the p-value from 0.3 to 1.0.
© The Authors, published by EDP Sciences, 2019
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.