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Ensemble flood risk assessment in Europe under high end climate scenarios
Open accessAbstract
At the current rate of global warming, the target of limiting it within 2 degrees by the end of the century seems more and more unrealistic. Policymakers, businesses and organizations leading international negotiations urge the scientific community to provide realistic and accurate assessments of the possible consequences of so called “high end” climate scenarios. This study illustrates a novel procedure to assess the future flood risk in Europe under high levels of warming. It combines ensemble projections of extreme streamflow for the current century based on EURO-CORDEX RCP 8.5 climate scenarios with recent advances in European flood hazard mapping. Further novelties include a threshold-based evaluation of extreme event magnitude and frequency, an alternative method to removing bias in climate projections, the latest pan-European exposure maps, and an improved flood vulnerability estimation. Estimates of population affected and direct flood damages indicate that by the end of the century the socio-economic impact of river floods in Europe is projected to increase by an average 220% due to climate change only. When coherent socio-economic development pathways are included in the assessment, central estimates of population annually affected by floods range between 500,000 and 640,000 in 2050, and between 540,000 and 950,000 in 2080, as compared to 216,000 in the current climate. A larger range is foreseen in the annual flood damage, currently of 5.3 B€, which is projected to rise at 20–40 B€ in 2050 and 30–100 B€ in 2080, depending on the future economic growth.
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Cites
Global flood risk under climate change
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D., Watanabe, S., Kim, H., & Kanae, S. (2013) · Nature Climate Change · doi:10.1038/nclimate1911 · Cited by 3,013
EURO-CORDEX: new high-resolution climate change projections for European impact research
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer, L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G., et al. (2014) · Regional Environmental Change · doi:10.1007/s10113-013-0499-2 · Cited by 2,730
A new scenario framework for climate change research: the concept of shared socioeconomic pathways
O’Neill, B. C., Kriegler, E., Riahi, K., Ebi, K. L., Hallegatte, S., Carter, T. R., Mathur, R., & van Vuuren, D. P. (2014) · Climatic Change · doi:10.1007/s10584-013-0905-2 · Cited by 2,716
An overview of the North Atlantic Oscillation
Hurrell, J. W., Kushnir, Y., Ottersen, G., & Visbeck, M. (2003) · Geophysical Monograph Series · doi:10.1029/134gm01 · Cited by 1,955
A simple raster-based model for flood inundation simulation
Bates, P. D., & De Roo, A. P. J. (2000) · Journal of Hydrology · doi:10.1016/s0022-1694(00)00278-x · Cited by 1,460
The impacts of climate change on river flood risk at the global scale
Arnell, N. W., & Gosling, S. N. (2016) · Climatic Change · doi:10.1007/s10584-014-1084-5 · Cited by 1,121
HESS Opinions "Should we apply bias correction to global and regional climate model data?"
Ehret, U., Zehe, E., Wulfmeyer, V., Warrach-Sagi, K., & Liebert, J. (2012) · Hydrology and Earth System Sciences · doi:10.5194/hess-16-3391-2012 · Cited by 680
Themeßl, M. J., Gobiet, A., & Heinrich, G. (2012) · Climatic Change · doi:10.1007/s10584-011-0224-4 · Cited by 661
LISFLOOD: a GIS‐based distributed model for river basin scale water balance and flood simulation
Van Der Knijff, J. M., Younis, J., & De Roo, A. P. J. (2010) · International Journal of Geographical Information Science · doi:10.1080/13658810802549154 · Cited by 637
A high-resolution global flood hazard model
Sampson, C. C., Smith, A. M., Bates, P. D., Neal, J. C., Alfieri, L., & Freer, J. E. (2015) · Water Resources Research · doi:10.1002/2015wr016954 · Cited by 625
Self-citation
Research works printed but not linked: 1
- Evans, 2000, Risk assessment and programme prioritisation: the Hungary flood study, MAFF Flood and Coastal Defence Conference
Cited by
Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.009 · Cited by 6,607
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3461-2016 · Cited by 5,241
Global projections of river flood risk in a warmer world
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K., & Feyen, L. (2017) · Earth's Future · doi:10.1002/2016ef000485 · Cited by 899
Self-citationA global multi-hazard risk analysis of road and railway infrastructure assets
Koks, E. E., Rozenberg, J., Zorn, C., Tariverdi, M., Vousdoukas, M., Fraser, S. A., Hall, J. W., & Hallegatte, S. (2019) · Nature Communications · doi:10.1038/s41467-019-10442-3 · Cited by 603
Global forecasts of shipping traffic and biological invasions to 2050
Sardain, A., Sardain, E., & Leung, B. (2019) · Nature Sustainability · doi:10.1038/s41893-019-0245-y · Cited by 466
Development and evaluation of a framework for global flood hazard mapping
Dottori, F., Salamon, P., Bianchi, A., Alfieri, L., Hirpa, F. A., & Feyen, L. (2016) · Advances in Water Resources · doi:10.1016/j.advwatres.2016.05.002 · Cited by 451
Self-citationPour, S. H., Wahab, A. K. A., Shahid, S., Asaduzzaman, M., & Dewan, A. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102373 · Cited by 407
A global framework for future costs and benefits of river-flood protection in urban areas
Ward, P. J., Jongman, B., Aerts, J. C. J. H., Bates, P. D., Botzen, W. J. W., Diaz Loaiza, A., Hallegatte, S., Kind, J. M., Kwadijk, J., Scussolini, P., et al. (2017) · Nature Climate Change · doi:10.1038/nclimate3350 · Cited by 373
Tien Bui, D., Pradhan, B., Nampak, H., Bui, Q.-T., Tran, Q.-A., & Nguyen, Q.-P. (2016) · Journal of Hydrology · doi:10.1016/j.jhydrol.2016.06.027 · Cited by 355
FLOPROS: an evolving global database of flood protection standards
Scussolini, P., Aerts, J. C. J. H., Jongman, B., Bouwer, L. M., Winsemius, H. C., de Moel, H., & Ward, P. J. (2016) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-16-1049-2016 · Cited by 330
Hosseini, F. S., Choubin, B., Mosavi, A., Nabipour, N., Shamshirband, S., Darabi, H., & Haghighi, A. T. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135161 · Cited by 342
Climatic and socioeconomic controls of future coastal flood risk in Europe
Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., Bianchi, A., Dottori, F., & Feyen, L. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0260-4 · Cited by 334
Self-citationClimate Change Information for Regional Impact and for Risk Assessment
Change, I. P. O. C. (2023) · Cambridge University Press eBooks · doi:10.1017/9781009157896.014 · Cited by 307
Developments in large-scale coastal flood hazard mapping
Vousdoukas, M. I., Voukouvalas, E., Mentaschi, L., Dottori, F., Giardino, A., Bouziotas, D., Bianchi, A., Salamon, P., & Feyen, L. (2016) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-16-1841-2016 · Cited by 254
Self-citationHegger, D. L. T., Driessen, P., Wiering, M. A., van Rijswick, H. F. M. W., Kundzewicz, Z. W., Matczak, P., Crabbé, A., Raadgever, G. T., Bakker, M. H. N., Priest, S. J., et al. (2016) · Ecology and Society · doi:10.5751/es-08854-210452 · Cited by 266
Alfieri, L., Feyen, L., & Baldassarre, G. D. (2016) · Climatic Change · doi:10.1007/s10584-016-1641-1 · Cited by 214
Self-citationDebele, S. E., Kumar, P., Sahani, J., Martí-Cardona, B., Mickovski, S. B., Leo, L. S., Porcù, F., Bertini, F., Montesi, D., Vojinović, Z., et al. (2019) · Environmental Research · doi:10.1016/j.envres.2019.108799 · Cited by 210
Towards an operationalisation of nature-based solutions for natural hazards
Kumar, P., Debele, S. E., Sahani, J., Aragão, L., Barisani, F., Basu, B., Bucchignani, E., Charizopoulos, Ν., Sabatino, S. D., Domeneghetti, A., et al. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138855 · Cited by 207
Cost-effective adaptation strategies to rising river flood risk in Europe
Dottori, F., Mentaschi, L., Bianchi, A., Alfieri, L., & Feyen, L. (2023) · Nature Climate Change · doi:10.1038/s41558-022-01540-0 · Cited by 192
Self-citationA GIS-based spatial multi-index model for flood risk assessment in the Yangtze River Basin, China
Zhang, D., Shi, X., Xu, H., Jing, Q., Pan, X., Liu, T., Wang, H., & Hou, H. (2020) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2020.106397 · Cited by 181
(IPCC), I. P. O. C. C. (2023) · Cambridge University Press eBooks · doi:10.1017/9781009325844.015 · Cited by 179
Climate change and aquaculture: considering biological response and resources
Reid, G., Gurney‐Smith, H., Marcogliese, D. J., Knowler, D. J., Benfey, T. J., Garber, A. F., Forster, I. P., Chopin, T., Brewer-Dalton, K., Moccia, R. D., et al. (2019) · Aquaculture Environment Interactions · doi:10.3354/aei00332 · Cited by 176
Toward more resilient flood risk governance
Driessen, P., Hegger, D. L. T., Bakker, M. H. N., van Rijswick, H. F. M. W., & Kundzewicz, Z. W. (2016) · Ecology and Society · doi:10.5751/es-08921-210453 · Cited by 166
Development of novel hybridized models for urban flood susceptibility mapping
Rahmati, O., Darabi, H. R., Panahi, M., Kalantari, Z., Naghibi, S. A., Ferreira, C., Kornejady, A., Karimidastenaei, Z., Mohammadi, F., Stefanidis, S. P., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-69703-7 · Cited by 166
Adapting global shared socio-economic pathways for national and local scenarios
Frame, B., Lawrence, J., Ausseil, A.-G., Reisinger, A. R., & Daigneault, A. (2018) · Climate Risk Management · doi:10.1016/j.crm.2018.05.001 · Cited by 161
Multi-Model Projections of River Flood Risk in Europe under Global Warming
Alfieri, L., Dottori, F., Betts, R., Salamon, P., & Feyen, L. (2018) · Climate · doi:10.3390/cli6010006 · Cited by 149
“[20] makes use of seven climate projections from the EURO-CORDEX database based on the Representative Concentration Pathways (RCP) 8.”
BackgroundMethodInfluentialSelf-citationTabari, H., & Willems, P. (2023) · npj Climate and Atmospheric Science · doi:10.1038/s41612-023-00401-7 · Cited by 149
Flood dynamics in urbanised landscapes: 100 years of climate and humans’ interaction
Sofia, G., Roder, G., Fontana, G. D., & Tarolli, P. (2017) · Scientific Reports · doi:10.1038/srep40527 · Cited by 144
Flood risk assessment of the European road network
van Ginkel, K., Dottori, F., Alfieri, L., Feyen, L., & Koks, E. (2021) · Natural hazards and earth system sciences · doi:10.5194/nhess-21-1011-2021 · Cited by 131
Self-citationClimate change and aquaculture: considering adaptation potential
Reid, G., Gurney‐Smith, H., Flaherty, M. S., Garber, A. F., Forster, I. P., Brewer-Dalton, K., Knowler, D. J., Marcogliese, D. J., Chopin, T., Moccia, R. D., et al. (2019) · Aquaculture Environment Interactions · doi:10.3354/aei00333 · Cited by 130
Chokkavarapu, N., & Mandla, V. R. (2019) · SN Applied Sciences · doi:10.1007/s42452-019-1764-x · Cited by 129
The influence of landscape pattern on the risk of urban water-logging and flood disaster
Su, M., Zheng, Y., Hao, Y., Chen, Q., Chen, S., Chen, Z., & Xie, H. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2017.03.008 · Cited by 125
A non-uniform efficient grid type for GPU-parallel Shallow Water Equations models
Vacondio, R., Palù, A. D., Ferrari, A., Mignosa, P., Aureli, F., & Dazzi, S. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.11.012 · Cited by 120
Climate change and water‐related ecosystem services: impacts of drought in california, usa
Chang, H., & Bonnette, M. R. (2016) · Ecosystem Health and Sustainability · doi:10.1002/ehs2.1254 · Cited by 120
Tanoue, M., Taguchi, R., Nakata, S., WATANABE, S., Fujimori, S., & Hirabayashi, Y. (2020) · Water Resources Research · doi:10.1029/2019wr026092 · Cited by 119
A new dataset of river flood hazard maps for Europe and the Mediterranean Basin
Dottori, F., Alfieri, L., Bianchi, A., Skøien, J. O., & Salamon, P. (2022) · Earth system science data · doi:10.5194/essd-14-1549-2022 · Cited by 118
Self-citationA probabilistic assessment of urban flood risk and impacts of future climate change
Liu, W., Qi, F., Engel, B. A., Yu, T., Zhang, X., & Qian, Y. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129267 · Cited by 115
Global warming to increase flood risk on European railways
Bubeck, P., Dillenardt, L., Alfieri, L., Feyen, L., Thieken, A. H., & Kellermann, P. (2019) · Climatic Change · doi:10.1007/s10584-019-02434-5 · Cited by 110
Self-citationLionello, P., & Scarascia, L. (2020) · Regional Environmental Change · doi:10.1007/s10113-020-01610-z · Cited by 107
Substantial increase in future fluvial flood risk projected in China’s major urban agglomerations
Jiang, R., Lu, H. M., Yang, K., Chen, D., Zhou, J., Yamazaki, D., Pan, M., Li, W., Xu, N., Yang, Y., et al. (2023) · Communications Earth & Environment · doi:10.1038/s43247-023-01049-0 · Cited by 106
Modelling the socio-economic impact of river floods in Europe
Alfieri, L., Feyen, L., Salamon, P., Thielen, J., Bianchi, A., Dottori, F., & Burek, P. (2016) · Natural hazards and earth system sciences · doi:10.5194/nhess-16-1401-2016 · Cited by 105
Self-citationFigueiredo, R., Romão, X., & Paupério, E. (2019) · Journal of Cultural Heritage · doi:10.1016/j.culher.2019.11.007 · Cited by 102
Urban flood hazard mapping using machine learning models: GARP, RF, MaxEnt and NB
Norallahi, M., & Kaboli, H. S. (2021) · Natural Hazards · doi:10.1007/s11069-020-04453-3 · Cited by 98
Drivers of Precipitation Change: An Energetic Understanding
Richardson, T. B., Forster, P. M. D. F., Andrews, T., Boucher, O., Faluvegi, G., Fläschner, D., Hodnebrog, Ø., Kasoar, M. R., Kirkevåg, A., Lamarque, J., et al. (2018) · Journal of Climate · doi:10.1175/jcli-d-17-0240.1 · Cited by 97
Update of intensity-duration-frequency (IDF) curves under climate change: a review
Kourtis, I. M., & Tsihrintzis, V. A. (2022) · Water Science & Technology Water Supply · doi:10.2166/ws.2022.152 · Cited by 96
Drivers of future fluvial flood risk change for residential buildings in Europe
Steinhausen, M., Paprotny, D., Dottori, F., Sairam, N., Mentaschi, L., Alfieri, L., Lüdtke, S., Kreibich, H., & Schröter, K. (2022) · Global Environmental Change · doi:10.1016/j.gloenvcha.2022.102559 · Cited by 83
Self-citationOptimal floodgate operation for river flood management: The case study of Padova (Italy)
Mel, R., Viero, D. P., Carniello, L., & D’Alpaos, L. (2020) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2020.100702 · Cited by 79
Yang, Y., Guo, H., Wang, D., Ke, X., Li, S., & Huang, S. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.126470 · Cited by 78
The undebated issue of justice: silent discourses in Dutch flood risk management
Kaufmann, M., Priest, S. J., & Leroy, P. (2016) · Regional Environmental Change · doi:10.1007/s10113-016-1086-0 · Cited by 77
Zischg, A. P., Hofer, P., Mosimann, M., Röthlisberger, V., Ramirez, J., Keiler, M., & Weingartner, R. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.05.056 · Cited by 76
Mahakur, V., Mahakur, V. K., Samantaray, S., & Ghose, D. K. (2024) · HydroResearch · doi:10.1016/j.hydres.2024.12.001 · Cited by 73
The role of grassland for erosion and flood mitigation in Europe: A meta-analysis
Milazzo, F., Francksen, R. M., Zavattaro, L., Abdalla, M., Hejduk, S., Enri, S. R., Pittarello, M., Newell‐Price, P., Schils, R. L. M., Smith, P., et al. (2023) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2023.108443 · Cited by 72
Peng, L., Wang, Y., Yang, L. E., Garchagen, M., & Deng, X. (2023) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2023.107319 · Cited by 72
Shrestha, B. B., Perera, D., Shun, K. U. D. O., Miyamoto, M., Yamazaki, Y., Kuribayashi, D., Sawano, H., Sayama, T., Magome, J., Hasegawa, A., et al. (2019) · Natural Hazards · doi:10.1007/s11069-019-03632-1 · Cited by 71
Aerts, J., Uhlemann‐Elmer, S., Eilander, D., & Ward, P. J. (2020) · Natural hazards and earth system sciences · doi:10.5194/nhess-20-3245-2020 · Cited by 71
Granata, F., Zhu, S., & Nunno, F. D. (2025) · Regional Environmental Change · doi:10.1007/s10113-025-02432-7 · Cited by 70
Regional Inequalities in Flood Insurance Affordability and Uptake under Climate Change
Tesselaar, M., Botzen, W. J. W., Haer, T., Hudson, P., Tiggeloven, T., & Aerts, J. C. J. H. (2020) · Sustainability · doi:10.3390/su12208734 · Cited by 69
Wang, G., Liu, Y., Hu, Z., Zhang, G., Liu, J., Lyu, Y., Gu, Y., Huang, X., Zhang, Q., & Liu, L. (2021) · Remote Sensing · doi:10.3390/rs13040637 · Cited by 69
Adapting global shared socio-economic pathways for national scenarios in Japan
Chen, H., Matsuhashi, K., Takahashi, K., Fujimori, S., Honjo, K., & Gomi, K. (2020) · Sustainability Science · doi:10.1007/s11625-019-00780-y · Cited by 65
Morphological and ecological responses of a managed coastal sand dune to experimental notches
Laporte-Fauret, Q., Castelle, B., Michalet, R., Marieu, V., Bujan, S., & Rosebery, D. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.146813 · Cited by 64
Accounting for changes in flood control delivered by ecosystems at the EU level
Vallecillo, S., Kakoulaki, G., Notte, A. L., Feyen, L., Dottori, F., & Maes, J. (2020) · Ecosystem Services · doi:10.1016/j.ecoser.2020.101142 · Cited by 62
Self-citationThe macroeconomic impacts of future river flooding in Europe
Koks, E., Thissen, M. J. P. M., Alfieri, L., de Moel, H., Feyen, L., Jongman, B., & Aerts, J. C. J. H. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab3306 · Cited by 62
Self-citationFerrari, A., Dazzi, S., Vacondio, R., & Mignosa, P. (2020) · Natural hazards and earth system sciences · doi:10.5194/nhess-20-59-2020 · Cited by 62
The role of spatial dependence for large-scale flood risk estimation
Metin, A. D., Dũng, N. V., Schröter, K., Vorogushyn, S., Guse, B., Kreibich, H., & Merz, B. (2020) · Natural hazards and earth system sciences · doi:10.5194/nhess-20-967-2020 · Cited by 60
Kiribou, I. A. R., Dejene, S. W., Bedadi, B., Elie, N., Ndemere, J., & Dimobe, K. (2024) · Discover Sustainability · doi:10.1007/s43621-024-00275-6 · Cited by 59
Tomorrow's disasters – Embedding foresight principles into disaster risk assessment and treatment
Riddell, G., van Delden, H., Maier, H. R., & Zecchin, A. C. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101437 · Cited by 58
Sustainable development substantially reduces the risk of future drought impacts
Tabari, H., & Willems, P. (2023) · Communications Earth & Environment · doi:10.1038/s43247-023-00840-3 · Cited by 56
Ouma, Y. O., & Omai, L. (2023) · International Journal of Intelligent Systems · doi:10.1155/2023/5672401 · Cited by 54
Riddell, G., van Delden, H., Maier, H. R., & Zecchin, A. C. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101230 · Cited by 54
Characterizing the role of socioeconomic pathways in shaping future urban heat-related challenges
Rohat, G., Wilhelmi, O. V., Flacke, J., Monaghan, A. J., Gao, J., Dao, H., & van Maarseveen, M. F. A. M. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.133941 · Cited by 53
Liu, X., Yang, S., Ye, T., An, R., & Cuizhen, C. (2021) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2021.102106 · Cited by 52
Can we trust CMIP5/6 future projections of European winter precipitation?
Moreno‐Chamarro, E., Caron, L.-P., Ortega, P., Tomas, S. L., & Roberts, M. J. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abf28a · Cited by 52
Dynamic adaptive pathways in downscaled climate change scenarios
Cradock-Henry, N. A., Frame, B., Preston, B. L., Reisinger, A. R., & Rothman, D. S. (2018) · Climatic Change · doi:10.1007/s10584-018-2270-7 · Cited by 51
Parizi, E., Khojeh, S., Hosseini, S. M., & Jouybari-Moghaddam, Y. (2022) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.115492 · Cited by 50
Hojat, A., Arosio, D., Ivanov, V. I., Loke, M. H., Longoni, L., Papini, M., Tresoldi, G., & Zanzi, L. (2020) · Near Surface Geophysics · doi:10.1002/nsg.12110 · Cited by 49
Yin, Z., Hu, Y., Jenkins, K., He, Y., Forstenhäusler, N., Warren, R., Yang, L., Jenkins, R., & Guan, D. (2021) · Climatic Change · doi:10.1007/s10584-021-03059-3 · Cited by 49
Urban Flood Resilience Evaluation Based on GIS and Multi-Source Data: A Case Study of Changchun City
Zhang, Z., Zhang, J., Zhang, Y., Chen, Y., & Yan, J. (2023) · Remote Sensing · doi:10.3390/rs15071872 · Cited by 48
Marzi, S., Myšiak, J., Essenfelder, A. H., Pal, J. S., Luca, V., Mistry, M., Alfieri, L., Karmen, P., Marin-Ferrer, M., & Vousdoukas, M. I. (2021) · Global Environmental Change · doi:10.1016/j.gloenvcha.2021.102393 · Cited by 46
Self-citationNguyen, D.-M. T., Nhung, D. T., Nghiem, S. V., Ghimire, J., Dang, K.-B., Giang, V.-T., Vu, K.-C., & Pham, V. (2023) · Ecological Informatics · doi:10.1016/j.ecoinf.2023.102427 · Cited by 46
Rauter, M., Kaufmann, M., Thaler, T., & Fuchs, S. (2020) · Land Use Policy · doi:10.1016/j.landusepol.2020.105017 · Cited by 46
Process‐Based Flood Risk Assessment for Germany
Sairam, N., Brill, F., Sieg, T., Farrag, M., Kellermann, P., Nguyen, V. D., Lüdtke, S., Merz, B., Schröter, K., Vorogushyn, S., et al. (2021) · Earth s Future · doi:10.1029/2021ef002259 · Cited by 46
Pham, Q. B., Ali, S. A., Bielecka, E., Całka, B., Orych, A., Parvin, F., & Łupikasza, E. B. (2022) · Natural Hazards · doi:10.1007/s11069-022-05336-5 · Cited by 46
Wang, Y., Peng, L., Yang, L. E., Wang, Z., & Deng, X. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.105141 · Cited by 45
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Metadata
- Authors
- Alfieri, L., Feyen, L., Dottori, F., & Bianchi, A.
- Affiliations
- European Commission (BE)
- Corresponding author
- Alfieri, Lorenzo
- Venue
- Global Environmental Change
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 35
- Pages
- 199-212
- ISSN
- 0959-3780 (ISSN-L)
- OpenAlex
- W1689307259
- Cited by
- 346
- References
- 49
- Citations by year
- 2026: 20 · 2025: 23 · 2024: 39 · 2023: 46 · 2022: 35 · 2021: 47 · 2020: 35 · 2019: 35 · 2018: 28 · 2017: 14 · 2016: 22
- FWCI
- 10.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- Locations
- Global Environmental Change (publishedVersion, cc-by-nc-nd)
- Joint Research Centre (European Commission) (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, cc-by-nc-nd)
- Funders
- European Union Seventh Framework Programme
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- flood risk assessment, streamflow extremes, EURO-CORDEX, flood hazard mapping, flood vulnerability, flood exposure, flood damage, vulnerable populations, climate change impacts, Europe
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.