Articles | Volume 13, issue 12
Research article
23 Dec 2013
Research article |  | 23 Dec 2013

Maximising the usefulness of flood risk assessment for the River Vistula in Warsaw

A. Kiczko, R. J. Romanowicz, M. Osuch, and E. Karamuz

Related authors

Apparent Friction Coefficient Used for Flow Calculation in Straight Compound Channels With Trees On Floodplains
Adam Kozioł, Adam Kiczko, Marcin Krukowski, Elżbieta Kubrak, Janusz Kubrak, Grzegorz Majewski, and Andrzej Brandyk
Hydrol. Earth Syst. Sci. Discuss.,,, 2024
Preprint under review for HESS
Short summary
An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume
Francesco Fatone, Bartosz Szeląg, Przemysław Kowal, Arthur McGarity, Adam Kiczko, Grzegorz Wałek, Ewa Wojciechowska, Michał Stachura, and Nicolas Caradot
Hydrol. Earth Syst. Sci., 27, 3329–3349,,, 2023
Short summary
Influence of vegetation maintenance on flow and mixing: case study comparing fully cut with high-coverage conditions
Monika Barbara Kalinowska, Kaisa Västilä, Michael Nones, Adam Kiczko, Emilia Karamuz, Andrzej Brandyk, Adam Kozioł, and Marcin Krukowski
Hydrol. Earth Syst. Sci., 27, 953–968,,, 2023
Short summary
The role of catchment characteristics, sewer network, SWMM model parameters in urban catchment management based on stormwater flooding: modelling, sensitivity analysis, risk assessment
Bartosz Szeląg, Adam Kiczko, Grzegorz Wałek, Ewa Wojciechowska, Michał Stachura, and Francesco Fatone
Hydrol. Earth Syst. Sci. Discuss.,,, 2022
Manuscript not accepted for further review
Short summary
Advanced sensitivity analysis of the impact of the temporal distribution and intensity of rainfall on hydrograph parameters in urban catchments
Francesco Fatone, Bartosz Szeląg, Adam Kiczko, Dariusz Majerek, Monika Majewska, Jakub Drewnowski, and Grzegorz Łagód
Hydrol. Earth Syst. Sci., 25, 5493–5516,,, 2021
Short summary

Related subject area

Hydrological Hazards
Limited effect of the confluence angle and tributary gradient on Alpine confluence morphodynamics under intense sediment loads
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634,,, 2024
Short summary
Does a convection-permitting regional climate model bring new perspectives on the projection of Mediterranean floods?
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183,,, 2024
Short summary
Added value of seasonal hindcasts to create UK hydrological drought storylines
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078,,, 2024
Short summary
Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890,,, 2024
Short summary
Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90: a case study of the European drought of 2018
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697,,, 2024
Short summary

Cited articles

Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723,, 1974.
Aronica, G. T., Candela, A., Fabio, P., and Santoro, M.: Estimation of flood inundation probabilities using global hazard indexes based on hydrodynamic variables, Phys. Chem. Earth, Parts A/B/C, 42, 119–129,, 2012.
Barkau, R. L.: UNET one-dimensional flow through a full network of open channels user's manual version 2.1, Publication CPD-66, US Army Corps of Engineers Davis CA, Hydrologic Engineering Center, Washington, DC, USA, 1993.
Beven, K. J. and Binley, A.: The future of distributed models: model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298,, 1992.
Blasone, R. S., Madsen, H., and Rosbjerg, D.: Uncertainty assessment of integrated distributed hydrological models using GLUE with Markov Chain Monte Carlo sampling, J. Hydrol., 353, 18–32,, 2008.
Final-revised paper