26 Apr 2017
Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling
Laboratory of Hydrology and Aquatic Systems Analysis, Department of
Civil Engineering, University of Thessaly, Pedion Areos, 38334 Volos, Greece
Lampros Vasiliades
Laboratory of Hydrology and Aquatic Systems Analysis, Department of
Civil Engineering, University of Thessaly, Pedion Areos, 38334 Volos, Greece
Athanasios Loukas
Laboratory of Hydrology and Aquatic Systems Analysis, Department of
Civil Engineering, University of Thessaly, Pedion Areos, 38334 Volos, Greece
Giuseppe T. Aronica
Department of Civil Engineering, Computer Science, Building,
Environmental Science, and Applied Mathematics, University of Messina,
Contrada Di Dio, 98166 Villaggio S. Agata, Messina, Italy
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Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 1857–1862, https://doi.org/10.5194/nhess-22-1857-2022, https://doi.org/10.5194/nhess-22-1857-2022, 2022
Giuseppina Brigandì, Giuseppe Tito Aronica, Brunella Bonaccorso, Roberto Gueli, and Giuseppe Basile
Adv. Geosci., 44, 79–88, https://doi.org/10.5194/adgeo-44-79-2017, https://doi.org/10.5194/adgeo-44-79-2017, 2017
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The paper presents the flood and landslide early warning system HEWS developed by the University of Messina for the
Integrated Multi-Risk Decentralised Functional Centreof Sicily (Italy). HEWS implements a methodology based on the combined use of rainfall thresholds, soil moisture modelling and quantitative precipitation forecast (QPF) to issue alert bulletins both for floods and landslide. The software Delft-FEWS has been adopted as operation platform to support the implementation of HEWS.
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-303, https://doi.org/10.5194/nhess-2017-303, 2017
Preprint retracted
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Flood risk estimates are characterised by significant uncertainties; accordingly, evaluating the reliability of such estimates (i.e. validating flood risk models) is crucial. Here, we discuss the state of art of flood risk models validation with the aim of identifying policy and research recommendations towards promoting more common practice of validation. The main conclusions from this review can be summarised as the need of higher quality data to perform validation and of benchmark solutions.
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Adv. Geosci., 44, 15–22, https://doi.org/10.5194/adgeo-44-15-2017, https://doi.org/10.5194/adgeo-44-15-2017, 2017
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A Monte Carlo approach for deriving flood frequency curves in ungauged basins in Sicily region (Italy) is proposed. The procedure consists of: (i) a regional frequency analysis of extreme rainfall series, combined with Huff curves-based synthetic hyetographs, for design storms and (ii) a rainfall-runoff model, based on the Time-Area technique, to generate synthetic hydrographs. Validation of the procedure is carried out on four gauged river basins in Sicily (Italy) with promising results.
Giuliano Di Baldassarre, Smeralda Saccà, Giuseppe Tito Aronica, Salvatore Grimaldi, Alessio Ciullo, and Massimiliano Crisci
Adv. Geosci., 44, 9–13, https://doi.org/10.5194/adgeo-44-9-2017, https://doi.org/10.5194/adgeo-44-9-2017, 2017
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Throughout history, the city of Rome has experienced numerous flooding events from the Tiber river. Ancient Rome mostly developed on the hills, while the Tiber’s floodplain was mainly used for agricultural purposes. Instead, many people live nowadays in modern districts in the Tiber’s floodplain, often unaware of their exposure to potentially flooding. This research work aims to explore the dynamics of changing flood risk between these two opposite pictures of ancient and contemporary Rome.
J. Hall, B. Arheimer, G. T. Aronica, A. Bilibashi, M. Boháč, O. Bonacci, M. Borga, P. Burlando, A. Castellarin, G. B. Chirico, P. Claps, K. Fiala, L. Gaál, L. Gorbachova, A. Gül, J. Hannaford, A. Kiss, T. Kjeldsen, S. Kohnová, J. J. Koskela, N. Macdonald, M. Mavrova-Guirguinova, O. Ledvinka, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, M. Osuch, J. Parajka, R. A. P. Perdigão, I. Radevski, B. Renard, M. Rogger, J. L. Salinas, E. Sauquet, M. Šraj, J. Szolgay, A. Viglione, E. Volpi, D. Wilson, K. Zaimi, and G. Blöschl
Proc. IAHS, 370, 89–95, https://doi.org/10.5194/piahs-370-89-2015, https://doi.org/10.5194/piahs-370-89-2015, 2015
M. A. Sunyer, Y. Hundecha, D. Lawrence, H. Madsen, P. Willems, M. Martinkova, K. Vormoor, G. Bürger, M. Hanel, J. Kriaučiūnienė, A. Loukas, M. Osuch, and I. Yücel
Hydrol. Earth Syst. Sci., 19, 1827–1847, https://doi.org/10.5194/hess-19-1827-2015, https://doi.org/10.5194/hess-19-1827-2015, 2015
A. Candela, G. Brigandì, and G. T. Aronica
Nat. Hazards Earth Syst. Sci., 14, 1819–1833, https://doi.org/10.5194/nhess-14-1819-2014, https://doi.org/10.5194/nhess-14-1819-2014, 2014
A. Loukas and L. Vasiliades
Nat. Hazards Earth Syst. Sci., 14, 1641–1661, https://doi.org/10.5194/nhess-14-1641-2014, https://doi.org/10.5194/nhess-14-1641-2014, 2014
D. Penna, M. Borga, G. T. Aronica, G. Brigandì, and P. Tarolli
Hydrol. Earth Syst. Sci., 18, 2127–2139, https://doi.org/10.5194/hess-18-2127-2014, https://doi.org/10.5194/hess-18-2127-2014, 2014
D. Molinari, S. Menoni, G. T. Aronica, F. Ballio, N. Berni, C. Pandolfo, M. Stelluti, and G. Minucci
Nat. Hazards Earth Syst. Sci., 14, 901–916, https://doi.org/10.5194/nhess-14-901-2014, https://doi.org/10.5194/nhess-14-901-2014, 2014
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Short summary
Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling. The results of this study show that the proposed procedure supports probabilistic flood hazard mapping at ungauged rivers and provides water resources managers with valuable information for planning and implementing flood risk mitigation strategies.
Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient...
