Articles | Volume 21, issue 3
https://doi.org/10.5194/nhess-21-1011-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1011-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Flood risk assessment of the European road network
Kees C. H. van Ginkel
CORRESPONDING AUTHOR
Inland Water Systems, Deltares, Delft, Boussinesqweg 1, 2629 HV Delft, the Netherlands
Institute for Environmental Studies, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV Amsterdam, the
Netherlands
Francesco Dottori
Joint Research Centre, European Commission, Ispra, Italy
Lorenzo Alfieri
Joint Research Centre, European Commission, Ispra, Italy
CIMA Research Foundation, University Campus of Savona, Savona, Italy
Luc Feyen
Joint Research Centre, European Commission, Ispra, Italy
Elco E. Koks
Institute for Environmental Studies, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV Amsterdam, the
Netherlands
Environmental Change Institute, University of Oxford, Oxford, United Kingdom
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Philip J. Ward, James Daniell, Melanie Duncan, Anna Dunne, Cédric Hananel, Stefan Hochrainer-Stigler, Annegien Tijssen, Silvia Torresan, Roxana Ciurean, Joel C. Gill, Jana Sillmann, Anaïs Couasnon, Elco Koks, Noemi Padrón-Fumero, Sharon Tatman, Marianne Tronstad Lund, Adewole Adesiyun, Jeroen C. J. H. Aerts, Alexander Alabaster, Bernard Bulder, Carlos Campillo Torres, Andrea Critto, Raúl Hernández-Martín, Marta Machado, Jaroslav Mysiak, Rene Orth, Irene Palomino Antolín, Eva-Cristina Petrescu, Markus Reichstein, Timothy Tiggeloven, Anne F. Van Loon, Hung Vuong Pham, and Marleen C. de Ruiter
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Josias Láng-Ritter, Marc Berenguer, Francesco Dottori, Milan Kalas, and Daniel Sempere-Torres
Hydrol. Earth Syst. Sci., 26, 689–709, https://doi.org/10.5194/hess-26-689-2022, https://doi.org/10.5194/hess-26-689-2022, 2022
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During flood events, emergency managers such as civil protection authorities rely on flood forecasts to make informed decisions. In the current practice, they monitor several separate forecasts, each one of them covering a different type of flooding. This can be time-consuming and confusing, ultimately compromising the effectiveness of the emergency response. This work illustrates how the automatic combination of flood type-specific impact forecasts can improve decision support systems.
Weihua Zhu, Kai Liu, Ming Wang, Sadhana Nirandjan, and Elco Koks
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-277, https://doi.org/10.5194/nhess-2021-277, 2021
Manuscript not accepted for further review
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We use multi-source empirical damage data to generate vulnerability curves and assess the risk of transportation infrastructure to rainfall-induced hazards. The results show large variations in the shape of the vulnerability curves and risk of railway infrastructure in China across the different regions. The usage of multi-source empirical data offer opportunities to perform risk assessments that include spatial detail among regions.
Carmelo Cammalleri, Gustavo Naumann, Lorenzo Mentaschi, Bernard Bisselink, Emiliano Gelati, Ad De Roo, and Luc Feyen
Hydrol. Earth Syst. Sci., 24, 5919–5935, https://doi.org/10.5194/hess-24-5919-2020, https://doi.org/10.5194/hess-24-5919-2020, 2020
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Climate change is anticipated to alter the demand and supply of water at the earth's surface. This study shows how hydrological droughts will change across Europe with increasing global warming levels, showing that at 3 K global warming an additional 11 million people and 4.5 ×106 ha of agricultural land will be exposed to droughts every year, on average. These effects are mostly located in the Mediterranean and Atlantic regions of Europe.
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Short summary
This study presents a state-of-the-art approach to assess flood damage for each unique road segment in Europe. We find a mean total flood risk of EUR 230 million per year for all individual road segments combined. We identify flood hotspots in the Alps, along the Sava River, and on the Scandinavian Peninsula. To achieve this, we propose a new set of damage curves for roads and challenge the community to validate and improve these. Analysis of network effects can be easily added to our analysis.
This study presents a state-of-the-art approach to assess flood damage for each unique road...
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