Return levels of maximum daily rainfall totals in the basin of the Upper Lusatian Neisse River

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F21%3AN0000057" target="_blank" >RIV/00020699:_____/21:N0000057 - isvavai.cz</a>

Výsledek na webu

<a href="https://iahr2020.pl/wp-content/uploads/2021/02/Book-of-Abstracts-15-02-2021.pdf" target="_blank" >https://iahr2020.pl/wp-content/uploads/2021/02/Book-of-Abstracts-15-02-2021.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Return levels of maximum daily rainfall totals in the basin of the Upper Lusatian Neisse River

Popis výsledku v původním jazyce

The Lusatian Neisse belongs to one of the most important European rivers. Its basin crosses the borders of three countries. In August 2010, the basin experienced disastrous floods that drew attention to this area also of those outside the hydrological community. It seems that the drivers of extreme rainfall events may change here either due to the climate itself or due to anthropogenic influences. The objective of this study was the investigation of the performance of several approaches allowing the estimation of rainfall design storms. Their comparison was made based on daily precipitation series available from 18 rain-gauges located within the upper part of this transboundary basin and covering the period 1961-2010. Using the peaks-over-threshold method, data representing maxima were derived and then subjected to trend analysis to decide whether increases or decreases in frequency and magnitude of extreme rainfall events have occurred. Moreover, the measured data were described by commonly used probability distributions: Fréchet, Gumbel, Weibull, Generalized Extreme Value, Log-normal, Gamma distributions, Generalized Exponential distribution, and Generalized Pareto distribution. To the previous stationary ones, also the point process technique was added which combines the Generalized Pareto distribution with the Poisson distribution when capturing nonstationary behaviour. The best-fitting distribution then allowed us to estimate the design storms.

Název v anglickém jazyce

Return levels of maximum daily rainfall totals in the basin of the Upper Lusatian Neisse River

Popis výsledku anglicky

The Lusatian Neisse belongs to one of the most important European rivers. Its basin crosses the borders of three countries. In August 2010, the basin experienced disastrous floods that drew attention to this area also of those outside the hydrological community. It seems that the drivers of extreme rainfall events may change here either due to the climate itself or due to anthropogenic influences. The objective of this study was the investigation of the performance of several approaches allowing the estimation of rainfall design storms. Their comparison was made based on daily precipitation series available from 18 rain-gauges located within the upper part of this transboundary basin and covering the period 1961-2010. Using the peaks-over-threshold method, data representing maxima were derived and then subjected to trend analysis to decide whether increases or decreases in frequency and magnitude of extreme rainfall events have occurred. Moreover, the measured data were described by commonly used probability distributions: Fréchet, Gumbel, Weibull, Generalized Extreme Value, Log-normal, Gamma distributions, Generalized Exponential distribution, and Generalized Pareto distribution. To the previous stationary ones, also the point process technique was added which combines the Generalized Pareto distribution with the Poisson distribution when capturing nonstationary behaviour. The best-fitting distribution then allowed us to estimate the design storms.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10501 - Hydrology

Projekt

<a href="/cs/project/SS01020366" target="_blank" >SS01020366: Využití dat dálkového průzkumu Země pro posouzení negativních dopadů přívalových srážek</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

6th IAHR Europe Congress Abstract Book

ISBN

978-83-66847-01-9

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

523-524

Název nakladatele

International Association for Hydro-Environment Engineering and Research

Místo vydání

Warsaw

Místo konání akce

Warsaw

Datum konání akce

15. 2. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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