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3. Towards a better understanding of the evolution of the flood risk in Mediterranean urban areas: the case of Barcelona M. Cortès et al. https://doi.org/10.1007/s11069-017-3014-0
4. Addressing the challenges of climate change risks and adaptation in coastal areas: A review A. Toimil et al. https://doi.org/10.1016/j.coastaleng.2019.103611
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8. A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment M. Rahman & L. Di https://doi.org/10.3390/agriculture10040131
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13. Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps V. Meyer et al. https://doi.org/10.5194/nhess-13-1351-2013
14. Detecting floodplain inundation based on the upstream–downstream relationship T. Zhao & Q. Shao https://doi.org/10.1016/j.jhydrol.2015.09.056
15. Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China J. Wu et al. https://doi.org/10.3390/su11040971
16. Application of Machine Learning and Process-Based Models for Rainfall-Runoff Simulation in DuPage River Basin, Illinois A. Bhusal et al. https://doi.org/10.3390/hydrology9070117
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21. Climate Change Adaptation: Evaluating Simple Alternatives to Real Options Analysis G. Guthrie https://doi.org/10.2139/ssrn.4613300
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27. Estimating damage costs of flooding on small- and medium-sized enterprises in Kigali, Rwanda A. Tsinda et al. https://doi.org/10.4102/jamba.v11i1.755
28. Assessment of flood loss model transferability considering changes in precaution of flood-affected residents in Germany S. Kienzler et al. https://doi.org/10.1051/e3sconf/20160713002
29. Dynamic impact analysis of masonry buildings subjected to flood actions P. Lonetti & R. Maletta https://doi.org/10.1016/j.engstruct.2018.03.076
30. Hotspots and drivers of flood damage in Assam, India: A spatio-temporal assessment of flood-induced damage and their driving factors A. Banerjee et al. https://doi.org/10.1016/j.ijdrr.2026.106266
31. Flood vulnerability assessment of residential buildings by explicit damage process modelling R. Custer & K. Nishijima https://doi.org/10.1007/s11069-015-1725-7
32. Assessing entrepreneurial and regional‐economic flood impacts on a globalized production facility C. Pfurtscheller & M. Vetter https://doi.org/10.1111/jfr3.12102
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38. Hazard Assessment and Implementation Strategies for Mitigating of Flood and Erosion in Nigeria O. Oyebode https://doi.org/10.1088/1757-899X/1036/1/012066
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43. Unmanned Aerial Systems-Aided Post-Flood Peak Discharge Estimation in Ephemeral Streams E. Andreadakis et al. https://doi.org/10.3390/rs12244183
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53. Modelling the socio-economic impact of river floods in Europe L. Alfieri et al. https://doi.org/10.5194/nhess-16-1401-2016
54. Damage and protection cost curves for coastal floods within the 600 largest European cities B. Prahl et al. https://doi.org/10.1038/sdata.2018.34
55. Efficient GIS-based model-driven method for flood risk management and its application in central China Y. Liu et al. https://doi.org/10.5194/nhess-14-331-2014
56. Flood damage assessment of an urban area in Taiwan Y. Chen et al. https://doi.org/10.1007/s11069-016-2362-5
57. Damage estimation of subterranean building constructions due to groundwater inundation – the GIS-based model approach GRUWAD R. Schinke et al. https://doi.org/10.5194/nhess-12-2865-2012
58. Assessing the impact of climate change on flood inundation and agriculture in the Himalayan Mountainous Region of Bhutan P. Syldon et al. https://doi.org/10.1016/j.ejrh.2024.101687
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61. Smart Video Analytics Solution to Identify Urban Floodborne Objects U. Iqbal et al. https://doi.org/10.1061/JCCEE5.CPENG-6526
62. Evaluating Catchment-Scale Physically Based Modeling of Sediment Deposition During an Extreme Rainfall Event S. Emtehani et al. https://doi.org/10.3390/geosciences16020088
63. Valuing the storm surge protection service of US Gulf Coast wetlands E. Barbier & B. Enchelmeyer https://doi.org/10.1080/21606544.2013.876370
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65. Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters R. Bhattarai et al. https://doi.org/10.5194/nhess-16-1063-2016
66. Dredging versus hedging: Comparing hard infrastructure to ecosystem-based adaptation to flooding A. Daigneault et al. https://doi.org/10.1016/j.ecolecon.2015.11.023
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69. Flood risk assessment for delta mega-cities: a case study of Jakarta Y. Budiyono et al. https://doi.org/10.1007/s11069-014-1327-9
70. Landslide Loss and Damage in Sindhupalchok District, Nepal: Comparing Income Groups with Implications for Compensation and Relief K. van der Geest https://doi.org/10.1007/s13753-018-0178-5
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72. Consistent economic cross-sectoral climate change impact scenario analysis: Method and application to Austria K. Steininger et al. https://doi.org/10.1016/j.cliser.2016.02.003
73. Regional assessment of extreme sea levels and associated coastal flooding along the German Baltic Sea coast J. Kiesel et al. https://doi.org/10.5194/nhess-23-2961-2023
74. Flood damage: a model for consistent, complete and multipurpose scenarios S. Menoni et al. https://doi.org/10.5194/nhess-16-2783-2016
75. Hazus: A standardized methodology for flood risk assessment in Canada M. Nastev & N. Todorov https://doi.org/10.1080/07011784.2013.801599
76. Regional economic impacts of natural hazards – the case of the 2005 Alpine flood event in Tyrol (Austria) C. Pfurtscheller https://doi.org/10.5194/nhess-14-359-2014
77. Decision-tree analysis of factors influencing rainfall-related building structure and content damage M. Spekkers et al. https://doi.org/10.5194/nhess-14-2531-2014
78. Impacts of major floods on new human respiratory health symptoms in indoor environments M. Pakdehi et al. https://doi.org/10.1016/j.jclepro.2026.148247
79. Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings T. Hanák et al. https://doi.org/10.3390/su12073047
80. A Time-Integrated Index for Flood Risk to Resistance Capacity O. Rezende et al. https://doi.org/10.3390/w11071321
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83. Effects of digital terrain model uncertainties on high‐resolution urban flood damage assessment C. Arrighi & L. Campo https://doi.org/10.1111/jfr3.12530
84. Evaluation of Flood Hazards and Impacts on the Environment: A Case Study of Louisville, Kentucky, USA, Using Remote Sensing and Geographic Information Systems (GIS) A. ATAWODI et al. https://doi.org/10.36108/esj/4202.30.0140
85. The relevance of flood hazards and impacts in Turkey: What can be learned from different disaster loss databases? G. Koç & A. Thieken https://doi.org/10.1007/s11069-017-3134-6
86. A quantitative analysis of research trends in flood hazard assessment W. Zhu et al. https://doi.org/10.1007/s00477-022-02302-2
87. Building treatments for urban flood inundation models and implications for predictive skill and modeling efficiency J. Schubert & B. Sanders https://doi.org/10.1016/j.advwatres.2012.02.012
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118. Are interactions important in estimating flood damage to economic entities? The case of wine-making in France D. Nortes Martínez et al. https://doi.org/10.5194/nhess-21-3057-2021
119. Mapping of flood hazard induced by land subsidence in Semarang City, Indonesia, using hydraulic and spatial models B. Yuwono et al. https://doi.org/10.1007/s11069-023-06398-9
120. Using web-based observations to identify thresholds of a person's stability in a flow L. Milanesi et al. https://doi.org/10.1002/2016WR019182
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548. Fragility Analysis Based on Damaged Bridges during the 2021 Flood in Germany A. Pucci et al. https://doi.org/10.3390/app131810454
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858. Life Cycle Cost and Return on Investment as complementary decision variables for urban flood risk management in developing countries R. De Risi et al. https://doi.org/10.1016/j.ijdrr.2018.02.026
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896. Identification of Patterns and Influential Factors on Civil Protection Personnel Opinions and Views on Different Aspects of Flood Risk Management: The Case of Greece M. Diakakis et al. https://doi.org/10.3390/su12145585
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901. Comparing Flood Damages to an Industrial Region in Turkey Using Several Methods P. Spor & E. Doğan https://doi.org/10.1142/S2382624X2350011X
902. The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain J. Garrote et al. https://doi.org/10.3390/app11199267
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908. Estimating flood damage to railway infrastructure – the case study of the March River flood in 2006 at the Austrian Northern Railway P. Kellermann et al. https://doi.org/10.5194/nhess-15-2485-2015
909. Assessing Stream Bank Erosion with a Visual Assessment Protocol in Streams Around Drama City, Greece G. Pagonis et al. https://doi.org/10.3390/land14101963
910. Analyse diachronique de la vulnérabilité par l’évaluation des dommages potentiels : quels enjeux dans le temps ? C. Heitz  et al. https://doi.org/10.4000/vertigo.23419
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912. Sustainable materials selection based on flood damage assessment for a building using LCA and LCC A. Balasbaneh et al. https://doi.org/10.1016/j.jclepro.2019.03.005
913. Mapping the Social, Economic, and Ecological Impact of Floods in Brisbane Y. Hou et al. https://doi.org/10.3390/w15213842
914. Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model S. Seydi et al. https://doi.org/10.1155/2022/2887502
915. Assessment of future flash flood inundations in coastal regions under climate change scenarios—A case study of Hadahe River basin in northeastern China Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2019.07.356
916. Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach B. Winter et al. https://doi.org/10.5194/nhess-20-1689-2020
917. Loss levels regarding flood affected areas in the upper Citarum Watershed . Fernandos et al. https://doi.org/10.1088/1755-1315/561/1/012027
918. The Role of Green Infrastructure in Enhancing Flood Resilience: A Spatial Perspective J. Han et al. https://doi.org/10.1007/s00267-026-02470-9
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921. Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia H. Desalegn & A. Mulu https://doi.org/10.1016/j.heliyon.2020.e05865
922. Urban waterlogging in coastal cities: a composite multicriteria index approach from Bangladesh M. Kauser et al. https://doi.org/10.1007/s11069-026-07993-2
923. Assessing the vulnerability of hydrological infrastructure to flood damage in coastal cities of developing nations R. Ogie et al. https://doi.org/10.1016/j.compenvurbsys.2017.11.004
924. Risk perception in urban and rural areas Y. Calixte et al. https://doi.org/10.1177/02690942261446965
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926. After the extreme flood in 2002: changes in preparedness, response and recovery of flood-affected residents in Germany between 2005 and 2011 S. Kienzler et al. https://doi.org/10.5194/nhess-15-505-2015
927. Quantitative micro-scale flood risk assessment in a section of the Trotuș River, Romania R. Țîncu et al. https://doi.org/10.1016/j.landusepol.2019.02.040
928. Improving flood impact estimations T. Sieg & A. Thieken https://doi.org/10.1088/1748-9326/ac6d6c
929. Flood Impacts on Agriculture under Climate Change: The case of the Awanui Catchment, New Zealand U. Djanibekov et al. https://doi.org/10.1007/s41885-024-00147-3
930. Targeting property flood resilience in flood risk management J. Webber et al. https://doi.org/10.1111/jfr3.12723
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932. Analysis of the French insurance market exposure to floods: a stochastic model combining river overflow and surface runoff D. Moncoulon et al. https://doi.org/10.5194/nhess-14-2469-2014
933. Causes, impacts and patterns of disastrous river floods B. Merz et al. https://doi.org/10.1038/s43017-021-00195-3
934. On flood risk pooling in Europe F. Prettenthaler et al. https://doi.org/10.1007/s11069-016-2616-2
935. A probabilistic framework to evaluate the uncertainty of design hydrograph: case study of Swannanoa River watershed E. Ahmadisharaf et al. https://doi.org/10.1080/02626667.2018.1525616
936. Comparison of storm damage functions and their performance B. Prahl et al. https://doi.org/10.5194/nhess-15-769-2015
937. Physical Vulnerability Assessment Based on Fluid and Classical Mechanics to Support Cost-Benefit Analysis of Flood Risk Mitigation Strategies B. Mazzorana et al. https://doi.org/10.3390/w4010196
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940. Brief communication: Key papers of 20 years in Natural Hazards and Earth System Sciences A. Gain et al. https://doi.org/10.5194/nhess-22-985-2022
941. Hydrological and hydrodynamic decision support tools for assessing nature-based flood solutions: Technical modelling recommendations and challenges M. Sedighkia et al. https://doi.org/10.1016/j.envsoft.2026.107040
942. Potential Impacts of Sea-Level Rise and Land-Use Change on Special Flood Hazard Areas and Associated Risks D. Habete & C. Ferreira https://doi.org/10.1061/(ASCE)NH.1527-6996.0000262
943. A Bayesian network approach for coastal risk analysis and decision making W. Jäger et al. https://doi.org/10.1016/j.coastaleng.2017.05.004
944. Assessing the risk posed by natural hazards to infrastructures U. Eidsvig et al. https://doi.org/10.5194/nhess-17-481-2017
945. Spatiotemporal changes of manufacturing firms in the flood prone Yangtze Delta S. Jiao et al. https://doi.org/10.1080/17477891.2021.1988502
946. Assessment of pluvial flood exposure and vulnerability of residential areas T. Grahn & L. Nyberg https://doi.org/10.1016/j.ijdrr.2017.01.016
947. Critical infrastructure and flood resilience: Cascading effects beyond water A. Fekete https://doi.org/10.1002/wat2.1370
948. The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models M. Drews et al. https://doi.org/10.1016/j.scitotenv.2023.164962
949. Wildfire, water, and society: Toward integrative research in the “Anthropocene” A. Kinoshita et al. https://doi.org/10.1016/j.ancene.2016.09.001
950. The utilization of physically based models and GIS techniques for comprehensive risk assessment of storm surge: A case study of Huizhou S. Wang et al. https://doi.org/10.3389/fmars.2022.939380
951. Methodological Framework for Analysing Cascading Effects from Flood Events: The Case of Sukhumvit Area, Bangkok, Thailand G. Hilly et al. https://doi.org/10.3390/w10010081
952. A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions M. Mohanty et al. https://doi.org/10.1016/j.jenvman.2019.109733
953. Prolonged Financial Distress After the Deepwater Horizon Oil Spill Predicts Behavioral Health S. Buckingham-Howes et al. https://doi.org/10.1007/s11414-018-9602-2
954. Geomorphic Assessment of Flood Hazard within the Urban Area of Chanchaga Local Government Area, Minna, NIGERIA E. Adesina et al. https://doi.org/10.30897/ijegeo.877629
955. Increasing river floods: fiction or reality? G. Blöschl et al. https://doi.org/10.1002/wat2.1079
956. Declining vulnerability to river floods and the global benefits of adaptation B. Jongman et al. https://doi.org/10.1073/pnas.1414439112
957. Quantitative risk assessment of storm surge using GIS techniques and open data: A case study of Daya Bay Zone, China S. Wang et al. https://doi.org/10.1016/j.jenvman.2021.112514
958. Performance evaluation of potential inland flood management options through a three-way linked hydrodynamic modelling framework for a coastal urban watershed M. Ghosh et al. https://doi.org/10.2166/nh.2020.123
959. Survey data of damaged residential buildings and business premises from the 2022 record-breaking flood in the Marche region, Italy S. Rrokaj et al. https://doi.org/10.5194/essd-17-6487-2025
960. Uncertainty and Sensitivity Analysis of the HAZUS-MH Flood Model E. Tate et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000167
961. Flood and Tsunami Damage Indices Based on Remotely Sensed Data: An Application to Indonesia E. Skoufias et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000325
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