Advances in pluvial and fluvial flood forecasting and assessment and flood risk management
Advances in pluvial and fluvial flood forecasting and assessment and flood risk management
Editor(s): Dhruvesh Patel, Cristina Prieto, Michaela Bray, Dawei Han, Benjamin Dewals, and Daniela Molinari
Flood is the foremost natural hazard around the world that affects human life and property (directly and indirectly). In the current era, many hydrologic and hydraulic modelling techniques are available for flood risk assessment and management, as well as for flood risk prevention and preparedness. Such techniques provide a platform for the scientific community to explore the causes of floods and to build up efficient methods for flood mitigation. This special issue invites in-depth and applied research work carried out through flood modelling including hydrological modelling, flood hydrodynamic modelling, flood inundation mapping, flood hazard mapping, risk assessment, flood policy, and flood mitigation strategy. It also welcomes studies dealing with various uncertainties associated with different stages of modelling and exploring modern techniques for model calibration and validation. In addition, real-time flood inundation mapping is an important aspect for evacuating people from low-lying areas and reducing death tolls. Real-time data information through UAV-based flood inundation mapping and analysis of associated uncertainty in real-time aerial surveying are welcome in this special issue.

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02 Oct 2024
Preface: Advances in pluvial and fluvial flood forecasting and assessment and flood risk management
Cristina Prieto, Dhruvesh Patel, Dawei Han, Benjamin Dewals, Michaela Bray, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 24, 3381–3386, https://doi.org/10.5194/nhess-24-3381-2024,https://doi.org/10.5194/nhess-24-3381-2024, 2024
21 Feb 2024
How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024,https://doi.org/10.5194/nhess-24-609-2024, 2024
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28 Sep 2023
Mangrove ecosystem properties regulate high water levels in a river delta
Ignace Pelckmans, Jean-Philippe Belliard, Luis E. Dominguez-Granda, Cornelis Slobbe, Stijn Temmerman, and Olivier Gourgue
Nat. Hazards Earth Syst. Sci., 23, 3169–3183, https://doi.org/10.5194/nhess-23-3169-2023,https://doi.org/10.5194/nhess-23-3169-2023, 2023
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10 Aug 2023
Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations
Helen Hooker, Sarah L. Dance, David C. Mason, John Bevington, and Kay Shelton
Nat. Hazards Earth Syst. Sci., 23, 2769–2785, https://doi.org/10.5194/nhess-23-2769-2023,https://doi.org/10.5194/nhess-23-2769-2023, 2023
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28 Jul 2023
An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States
Betina I. Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya
Nat. Hazards Earth Syst. Sci., 23, 2663–2681, https://doi.org/10.5194/nhess-23-2663-2023,https://doi.org/10.5194/nhess-23-2663-2023, 2023
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24 Feb 2023
Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany
Omar Seleem, Georgy Ayzel, Axel Bronstert, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023,https://doi.org/10.5194/nhess-23-809-2023, 2023
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