Articles | Volume 24, issue 4
https://doi.org/10.5194/hess-24-1633-2020
https://doi.org/10.5194/hess-24-1633-2020
Research article
 | 
06 Apr 2020
Research article |  | 06 Apr 2020

The role of flood wave superposition in the severity of large floods

Björn Guse, Bruno Merz, Luzie Wietzke, Sophie Ullrich, Alberto Viglione, and Sergiy Vorogushyn

Related authors

What controls the tail behaviour of flood series: rainfall or runoff generation?
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 28, 833–850, https://doi.org/10.5194/hess-28-833-2024,https://doi.org/10.5194/hess-28-833-2024, 2024
Short summary
Quantification of meteorological conditions for rockfall triggers in Germany
Katrin M. Nissen, Stefan Rupp, Thomas M. Kreuzer, Björn Guse, Bodo Damm, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 22, 2117–2130, https://doi.org/10.5194/nhess-22-2117-2022,https://doi.org/10.5194/nhess-22-2117-2022, 2022
Short summary
Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation
Lieke Anna Melsen and Björn Guse
Hydrol. Earth Syst. Sci., 25, 1307–1332, https://doi.org/10.5194/hess-25-1307-2021,https://doi.org/10.5194/hess-25-1307-2021, 2021
Short summary
The role of spatial dependence for large-scale flood risk estimation
Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Sergiy Vorogushyn, Björn Guse, Heidi Kreibich, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 20, 967–979, https://doi.org/10.5194/nhess-20-967-2020,https://doi.org/10.5194/nhess-20-967-2020, 2020
Short summary
How do changes along the risk chain affect flood risk?
Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Björn Guse, Heiko Apel, Heidi Kreibich, Sergiy Vorogushyn, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 18, 3089–3108, https://doi.org/10.5194/nhess-18-3089-2018,https://doi.org/10.5194/nhess-18-3089-2018, 2018
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Stochastic approaches
Technical Note: two-component Electrical Conductivity-based hydrograph separaTion employing an EXPonential mixing model (EXPECT) provides reliable high temporal resolution young water fraction estimates in three small Swiss catchments
Alessio Gentile, Jana von Freyberg, Davide Gisolo, Davide Canone, and Stefano Ferraris
EGUsphere, https://doi.org/10.5194/egusphere-2023-1797,https://doi.org/10.5194/egusphere-2023-1797, 2023
Short summary
On the regional-scale streamflow variability using flow duration curve
Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep Mujumdar
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-178,https://doi.org/10.5194/hess-2023-178, 2023
Revised manuscript accepted for HESS
Short summary
Towards a conceptualization of the hydrological processes behind changes of young water fraction with elevation: a focus on mountainous alpine catchments
Alessio Gentile, Davide Canone, Natalie Ceperley, Davide Gisolo, Maurizio Previati, Giulia Zuecco, Bettina Schaefli, and Stefano Ferraris
Hydrol. Earth Syst. Sci., 27, 2301–2323, https://doi.org/10.5194/hess-27-2301-2023,https://doi.org/10.5194/hess-27-2301-2023, 2023
Short summary
Flood frequency analysis using mean daily flows vs. instantaneous peak flows
Anne Bartens and Uwe Haberlandt
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-144,https://doi.org/10.5194/hess-2023-144, 2023
Revised manuscript accepted for HESS
Short summary
A mixed distribution approach for low-flow frequency analysis – Part 2: Comparative assessment of a mixed probability vs. copula-based dependence framework
Gregor Laaha
Hydrol. Earth Syst. Sci., 27, 2019–2034, https://doi.org/10.5194/hess-27-2019-2023,https://doi.org/10.5194/hess-27-2019-2023, 2023
Short summary

Cited articles

Bacchi, B., Brath, A., and Kottegoda, N.: Analysis of the Relationships Between Flood Peaks and Flood Volumes Based on Crossing Properties of River Flow Processes, Water Resour. Res., 28, 2773–2782, 1992. a, b
Beurton, S. and Thieken, A.: Seasonality of floods in Germany, Hydrolog. Sci. J., 54, 62–76, 2009. a
Blöschl, G., Nester, T., Komma, J., Parajka, J., and Perdigão, R. A. P.: The June 2013 flood in the Upper Danube Basin, and comparisons with the 2002, 1954 and 1899 floods, Hydrol. Earth Syst. Sci., 17, 5197–5212, https://doi.org/10.5194/hess-17-5197-2013, 2013. a, b, c, d, e
De Jager, A. and Vogt, J.: Rivers and Catchments of Europe – Catchment Characterisation Model (CCM), European Commission, Joint Research Centre (JRC), available at: http://data.europa.eu/89h/fe1878e8-7541-4c66-8453-afdae7469221 (last access: 2009), 2007. a
Di Lazzaro, M., Zarlenga, A., and Volpi, E.: Hydrological effects of within-catchment heterogeneity of drainage density, Adv. Water Resour., 76, 157–167, 2015. a
Download
Short summary
Floods are influenced by river network processes, among others. Flood characteristics of tributaries may affect flood severity downstream of confluences. The impact of flood wave superposition is investigated with regard to magnitude and temporal matching of flood peaks. Our study in Germany and Austria shows that flood wave superposition is not the major driver of flood severity. However, there is the potential for large floods at some confluences in cases of temporal matching of flood peaks.