Application of the maxima distribution to the evaluation of the variability of flood risks in the Odra River basin on the basis of quarterly maxima of daily water levels

• Autorzy: Szałata Łukasz , Kuźmiński Łukasz , Zwoździak Jerzy

Identyfikatory

DOI

10.5277/epe190209

• Języki publikacji: EN

Abstrakty

EN

The method of assessing the flood risk variability has been presented based on maximum value distributions. Hydrological data were used in the form of daily water levels for the period 1981-2013. The collected data originate from the Malczyce Hydrological Station on the 300th km of the Odra River. To assess the risk of flooding based on the collected data quarterly highs were selected. As a measure of flood risk, the authors suggested the probability of exceeding the emergency level in the studied section of the river. This risk was calculated using the theoretical distribution function of the quarterly heights of the water level. The study used the Gumbel distribution. A special attention was paid to the possibility of using the presented solutions for an integrated flood risk management process in accordance with applicable national and European legislation.

Słowa kluczowe

EN

flood risk; Gumbel distribution; maximum annual flow; Odra River

PL

ryzyko powodzi; rozkład Gumbela; Odra; roczny przepływ maksymalny

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Environment Protection Engineering
• Rocznik: 2019
• Tom: Vol. 45, nr 2
• Strony: 127--140
• Opis fizyczny: Bibliogr. 25 poz., tab., rys.

Twórcy

autor

Szałata Łukasz

• Wrocław University of Science and Technology, Department of Environmental Engineering, Plac Grunwaldzki 9, 50-377 Wrocław, Poland

autor

Kuźmiński Łukasz

• Wrocław University of Economics, Department of Quantitative Methods in Economics, ul. Komandorska 118/120, 53-345 Wrocław, Poland

autor

Zwoździak Jerzy

• General Tadeusz Kościuszko Military University of Land Forces Academy, ul. Piotra Czajkowskiego 109, 51-147 Wrocław, Poland

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).