Spatial-temporal statistical analysis of daily rainfall for Košice station in eastern Slovakia

Hydrologic processes, especially rainfall is characterized for their variability in time and space. These processes are known as stochastic processes. For engineering practice is very important to know the behavior of time series for long period. This paper is focused on spatial-temporal analysis of...

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 867; no. 1; pp. 12035 - 12041
Main Authors Repel, A., Jothiprakash, V, Hlavatá, Helena, Galas, S, Portela, M M
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2020
Subjects
Annual rainfall
Hydrology
Parameters
Statistical analysis
Stochastic processes
Time series
Slovakia
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Summary:Hydrologic processes, especially rainfall is characterized for their variability in time and space. These processes are known as stochastic processes. For engineering practice is very important to know the behavior of time series for long period. This paper is focused on spatial-temporal analysis of daily rainfall for Košice station in eastern Slovakia. Time series of daily rainfall from period 1951 to 2018 was analyzed by basic statistical analysis and also by descriptive statistical analysis. Results of basic statistical analysis showed the basic parameters of time series, such as average daily rainfall, maximum daily rainfall or total annual daily rainfall and other basic parameters. Descriptive analysis is used to describe behavior of a time series. Results showed, that time series of daily rainfall in Košice station is stationary, homogeneous and there is no noise in time series, which is good for using this time series in further research
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/867/1/012035