2019
DOI: 10.1007/s11600-019-00264-8
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Analysis of extreme flow uncertainty impact on size of flood hazard zones for the Wronki gauge station in the Warta river

Abstract: In this paper, the impact of maximum flow uncertainty on flood hazard zone is analyzed. Two factors are taken into account: (1) the method for determination of maximum flows and (2) the limited length of the data series available for calculations. The importance of this problem is a consequence of the implementation of the EU Flood Directive in all EU member states. The factors mentioned seem to be among the most important elements responsible for potential uncertainty and inaccuracy of the developed flood haz… Show more

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Cited by 14 publications
(7 citation statements)
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References 38 publications
(37 reference statements)
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“…The possibility of using water resources is closely related to a number of factors modified by the type of natural or anthropogenic sources and climate changes. These factors include the quality of water [1][2][3][4][5], the quality of bottom sediments [6][7][8], processes of eutrophication and overgrowth [9,10], hydrological processes, and extreme natural phenomena [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…The possibility of using water resources is closely related to a number of factors modified by the type of natural or anthropogenic sources and climate changes. These factors include the quality of water [1][2][3][4][5], the quality of bottom sediments [6][7][8], processes of eutrophication and overgrowth [9,10], hydrological processes, and extreme natural phenomena [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…HEC-RAS is a well-known hydrodynamic model for one and two-dimensional hydraulic calculations and is often used in calculating both steady and unsteady, gradually varied flow (Dysarz et al, 2019;Horritt & Bates, 2002). In addition, the HEC-RAS system solves movable boundary sediment transport computations and water quality analysis.…”
Section: Hec-rasmentioning
confidence: 99%
“…However, the development of modern measurement techniques such as GPS, LIDAR, satellite imaginary (e.g., Arseni, Roșu, Bocăneală, Constantin, & Georgescu, 2017; Gilles, Young, Schroeder, Piotrowski, & Chang, 2012; Jung, Kim, Kim, Kim, & Lee, 2014; Laks, Sojka, Walczak, & Wróżyński, 2017; Sampson et al, 2012; Sojka, Murat‐Błażejewska, & Wróżynski, 2012; Sojka & Wróżynski, 2013; Walczak, Sojka, & Laks, 2013) as well as modelling technologies, 1D/2D hybrid modelling, parallel processing, etc. (e.g., Brunner, 2016a; DHI, 2017; Dysarz, Wicher‐Dysarz, Sojka, & Jaskuła, 2019; Gąsiorowski, 2013; Kolerski, 2018; Szydłowski, Szpakowski, & Zima, 2013; Yin et al, 2018) has significantly reduced inaccuracies and uncertainties in these areas. In the more predictive analyses, one more factor is important, namely, the lack of knowledge about future inflows to river systems.…”
Section: Introductionmentioning
confidence: 99%