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Zwyczajne życie informacji o niebezpiecznym zjawisku hydrologicznym

Szumiejko Franciszek, Wdowikowski Marcin

Systemy Wspomagania w Inżynierii Produkcji

2020

Vol. 9, iss. 1

7--23

Celem niniejszej pracy było przedstawienie cyklu życia informacji o niebezpiecznym zjawisku hydrologicznym w kontekście komunikacji społecznej. W pracy zaprezentowano opis funkcjonowania i struktury systemu przygotowania analiz zawiązanych z oceną obecnego i przewidywanego stanu atmosfery i hydrosfery. Poruszono również proces przekazywania powstałej informacji o zagrożeniach pomiędzy instytucjami państwowymi w społeczeństwie. Praca dotyka również form komunikacji IMGW-PIB poprzez telekomunikację oraz kolory, które funkcjonują w przestrzeni społecznej od dziesiątek lat i podlegają rozwojowi wraz z postępem technologicznym współczesnego świata.

The aim of this paper was to describe a life cycle of information about a dangerous hydrological phenomenon in the context of social communication. The paper presents a description of the functioning and structure of the atmosphere and hydrosphere current and predicted state system regarding to necessary analyzes and related assessments. The process of hydrological and meteorological information transition between state institutions in the society was also discussed. The work also affects IMWM-NRI communication forms through telecommunications and colors that have functioned in the social space for decades and are subject to development along with the technological progress of the modern world.

Maximum daily rainfall analysis at selected meteorological stations in the upper Lusatian Neisse River basin

Wdowikowski M., Kaźmierczak B., Ledvinka O.

Meteorology Hydrology and Water Management. Research and Operational Applications

2016

Vol. 4, Iss. 1

53--63

The scope of this study was to assess the usefulness of top probability distributions to describe maximum rainfall data in the Lusatian Neisse River basin, based on eight IMWM-NRI meteorological stations. The research material was composed of 50-year precipitation series of daily totals from 1961 to 2010. Misssing measurement data were estimated using a weighted average method. Homogeneity for refilled data were investigated by precipitation double aggregation curve. Correlation between the measurement data varied from 96 to 99% and did not indicate a violation of the homogeneity of rainfall data series. Variability of recorded daily precipitation maxima were studied by linear regression and non-parametric Mann-Kendall tests. Long-term period changes at maximum rainfalls for four stations remained statistically insignificant, and for the other four were significant, although the structure of maximums was relatively similar. To describe the measured data, there were used the Fréchet, Gamma, Generalized Exponential Distribution (GED), Gumbel, Log-normal and Weibull distributions. Particular distribution parameters were estimated using the maximum likelihood method. The conformity of the analyzed theoretical distributions with measured data was inspected using the Schwarz Bayesian information criterion (BIC) and also by the relative residual mean square error (RRMSE). Among others, the Gamma, GED, and Weibull distributions fulfilled the compliance criterion for each meteorological station respectively. The BIC criterion indicated GED as the best; however differences were minor between GED on the one hand and the Gamma and Weibull distributions on the other. After conducting the RRMSE analysis it was found that, in comparison to the other distributions, GED best describes the measured maximum rainfall data.