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18. Flood loss modelling with FLF-IT: a new flood loss function for Italian residential structures R. Hasanzadeh Nafari et al. 10.5194/nhess-17-1047-2017
19. Enhancing local action planning through quantitative flood risk analysis: a case study in Spain J. Castillo-Rodríguez et al. 10.5194/nhess-16-1699-2016
20. Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data W. Zhu et al. 10.1007/s11069-022-05605-3
21. Probabilistic depth–damage curves for assessment of flood-induced building losses H. McGrath et al. 10.1007/s11069-019-03622-3
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23. A GIS-based procedure for preliminary mapping of pluvial flood risk at metropolitan scale C. Di Salvo et al. 10.1016/j.envsoft.2018.05.020
24. Probabilistic framework for quantifying infrastructure systems’ resilience against floods A. Daneshifar & H. Kashani 10.1080/23789689.2024.2328977
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26. Flood Protection and Land Value Creation – Not all Resilience Investments Are Created Equal P. Avner et al. 10.1007/s41885-022-00117-7
27. Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling L. Carrera et al. 10.2139/ssrn.2637313
28. Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method D. Zhang et al. 10.3390/ijerph17165821
29. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. 10.5194/nhess-21-643-2021
30. River basin planning: from qualitative to quantitative flood risk assessment: the case of Abruzzo Region (central Italy) A. Scorzini & M. Leopardi 10.1007/s11069-017-2857-8
31. A geospatial framework to estimate depth of scour under buildings due to storm surge in coastal areas M. Borga et al. 10.1007/s11069-017-2817-3
32. Global economic response to river floods S. Willner et al. 10.1038/s41558-018-0173-2
33. Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality R. Moya Barbera et al. 10.1016/j.cscm.2024.e03004
34. Distributed hydrodynamic modelling for assessing flood impacts on crops: Assessing flood-resilient crop management in a coastal basin of central Italy T. Lucaora et al. 10.1016/j.agwat.2025.109352
35. MODELING THE IMPACT OF SEA LEVEL RISE TO POTENTIAL FLOOD DAMAGE IN THE MEKONG T. SATO et al. 10.2208/jscejhe.70.I_103
36. Multi-variable flood damage modelling with limited data using supervised learning approaches D. Wagenaar et al. 10.5194/nhess-17-1683-2017
37. Relationship between residential house damage and flood characteristics: A case study in the Teesta River Basin, Bangladesh S. Haque et al. 10.1016/j.ijdrr.2023.103901
38. Effects of variability in probable maximum precipitation patterns on flood losses A. Zischg et al. 10.5194/hess-22-2759-2018
39. Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. 10.1016/j.ijdrr.2021.102407
40. Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction S. López-Chacón et al. 10.3390/w15112020
41. Predicting and communicating flood risk of transport infrastructure based on watershed characteristics A. Michielsen et al. 10.1016/j.jenvman.2016.07.051
42. Flood vulnerability assessment of residential buildings by explicit damage process modelling R. Custer & K. Nishijima 10.1007/s11069-015-1725-7
43. A Method for Urban Flood Risk Assessment and Zoning Considering Road Environments and Terrain N. Chen et al. 10.3390/su11102734
44. Flood risk assessment and resilience strategies for flood risk management: A case study of Surat City R. Waghwala & P. Agnihotri 10.1016/j.ijdrr.2019.101155
45. Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis P. Sibandze et al. 10.1007/s00267-024-02059-0
46. Accounting for risk aversion, income distribution and social welfare in cost‐benefit analysis for flood risk management J. Kind et al. 10.1002/wcc.446
47. Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al. 10.1016/j.ijdrr.2021.102208
48. DamaGIS: a multisource geodatabase for collection of flood-related damage data C. Saint-Martin et al. 10.5194/essd-10-1019-2018
49. Multi-Model Projections of River Flood Risk in Europe under Global Warming L. Alfieri et al. 10.3390/cli6010006
50. Flood damage: a model for consistent, complete and multipurpose scenarios S. Menoni et al. 10.5194/nhess-16-2783-2016
51. Quantifying the effect of autonomous adaptation to global river flood projections: application to future flood risk assessments Y. Kinoshita et al. 10.1088/1748-9326/aa9401
52. Exposure and vulnerability estimation for modelling flood losses to commercial assets in Europe D. Paprotny et al. 10.1016/j.scitotenv.2020.140011
53. Micro-sized enterprises: vulnerability to flash floods K. Karagiorgos et al. 10.1007/s11069-016-2476-9
54. How to Integrate Labor Disruption into an Economic Impact Evaluation Model for Postdisaster Recovery Periods Z. Zhang et al. 10.1111/risa.13365
55. Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy A. Taramelli et al. 10.5194/nhess-22-3543-2022
56. Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector P. Brémond et al. 10.5194/nhess-22-3385-2022
57. Quantitative assessment of inundation risks from physical contributors associated with future storm surges: a case study of Typhoon Maemi (2003) S. Hwang et al. 10.1007/s11069-020-04225-z
58. AGRIDE-c, a conceptual model for the estimation of flood damage to crops: development and implementation D. Molinari et al. 10.5194/nhess-19-2565-2019
59. Damage functions for transport infrastructure N. Habermann & R. Hedel 10.1108/IJDRBE-09-2017-0052
60. The impact of floodplain land use on flood wave propagation G. Rak et al. 10.1007/s11069-016-2322-0
61. Risk-based flood protection planning under climate change and modeling uncertainty: a pre-alpine case study B. Dittes et al. 10.5194/nhess-18-1327-2018
62. Assessing the cost-effectiveness of Nature-based Solutions under climate change uncertainty and learning L. Vogelsang et al. 10.1016/j.wre.2023.100224
63. The value of advanced flood models, damage costs and land use data in cost-effective climate change adaptation K. Halsnæs et al. 10.1016/j.cliser.2023.100424
64. Expert-based versus data-driven flood damage models: A comparative evaluation for data-scarce regions M. Malgwi et al. 10.1016/j.ijdrr.2021.102148
65. Collaborative Strategies for Sustainable EU Flood Risk Management: FOSS and Geospatial Tools—Challenges and Opportunities for Operative Risk Analysis R. Albano et al. 10.3390/ijgi4042704
66. Selecting coastal hotspots to storm impacts at the regional scale: a Coastal Risk Assessment Framework C. Viavattene et al. 10.1016/j.coastaleng.2017.09.002
67. Tomorrow's disasters – Embedding foresight principles into disaster risk assessment and treatment G. Riddell et al. 10.1016/j.ijdrr.2019.101437
68. Assessment of future risk of agricultural crop production under climate and social changes scenarios: A case of the Solo River basin in Indonesia B. Shrestha et al. 10.1111/jfr3.13052
69. A model taxonomy for flood fragility and vulnerability assessment of buildings C. Galasso et al. 10.1016/j.ijdrr.2020.101985
70. Improving flood damage estimation by integrating property elevation data M. Esparza et al. 10.1016/j.ijdrr.2025.105251
71. Improving flood risk analysis for effectively supporting the implementation of flood risk management plans: The case study of “Serio” Valley R. Albano et al. 10.1016/j.envsci.2017.05.017
72. Who can you trust? Implications of institutional vulnerability in flood exposure along the Spanish Mediterranean coast F. López-Martínez et al. 10.1016/j.envsci.2017.06.004
73. Evaluation of 1D hydraulic models for the simulation of mountain fluvial floods: a case study of the Santa Bárbara River in Ecuador J. Pinos et al. 10.2166/wpt.2019.018
74. Water depth estimate and flood extent enhancement for satellite-based inundation maps A. Betterle & P. Salamon 10.5194/nhess-24-2817-2024
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77. Evolution of flood protection levels and flood vulnerability in Europe since 1950 estimated with vine-copula models D. Paprotny et al. 10.1007/s11069-024-07039-5
78. Low‐Probability Flood Risk Modeling for New York City J. Aerts et al. 10.1111/risa.12008
79. Soil sealing and flood risks in the plains of Emilia-Romagna, Italy A. Pistocchi et al. 10.1016/j.ejrh.2015.06.021
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83. An examination of flood resilience in London Borough of Southwark L. Nelson & N. Ahmadpoor 10.1016/j.uclim.2023.101692
84. Flood damage assessment in urban areas. Application to the Raval district of Barcelona using synthetic depth damage curves M. Velasco et al. 10.1080/1573062X.2014.994005
85. The impact of intense rainfall on insurance losses in two Swedish cities B. Blumenthal & L. Nyberg 10.1111/jfr3.12504
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88. Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach A. Beltrán et al. 10.1111/risa.13136
89. Can regional to continental river hydrodynamic models be locally relevant? A cross-scale comparison A. Fleischmann et al. 10.1016/j.hydroa.2019.100027
90. Up-scaling of impact dependent loss distributions: a hybrid convolution approach for flood risk in Europe S. Hochrainer-Stigler et al. 10.1007/s11069-013-0885-6
91. Damage assessment of lake floods: Insured damage to private property during two lake floods in Sweden 2000/2001 T. Grahn & R. Nyberg 10.1016/j.ijdrr.2014.10.003
92. Quantitative flood disaster loss-resilience with the multilevel hybrid evaluation model R. Yan et al. 10.1016/j.jenvman.2023.119026
93. Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling L. Carrera et al. 10.2139/ssrn.2505925
94. On the occurrence of rainstorm damage based on home insurance and weather data M. Spekkers et al. 10.5194/nhess-15-261-2015
95. Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters R. Bhattarai et al. 10.5194/nhess-16-1063-2016
96. Quickly Assess the Direct Loss of Houses Caused by a Typhoon-Rainstorm-Storm Surge–Flood Chain: Case of Haikou City J. Wan et al. 10.3390/w14193037
97. Process‐Based Flood Risk Assessment for Germany N. Sairam et al. 10.1029/2021EF002259
98. An urban waterlogging footprint accounting based on emergy: A case study of Beijing K. Liu et al. 10.1016/j.apenergy.2023.121527
99. Uncertainty analysis of risk-based flood safety standards in the Netherlands through a scenario-based approach S. Westerhof et al. 10.1080/15715124.2022.2060243
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103. A GIS-Based Approach for Flood Risk Zoning by Combining Social Vulnerability and Flood Susceptibility: A Case Study of Nanjing, China Y. Chen et al. 10.3390/ijerph182111597
104. Sensitivity analysis of flood damage estimates: A case study in Fredericton, New Brunswick H. McGrath et al. 10.1016/j.ijdrr.2015.09.003
105. Flood risk assessment for delta mega-cities: a case study of Jakarta Y. Budiyono et al. 10.1007/s11069-014-1327-9
106. Calibration and validation of FLFArs -- a new flood loss function for Australian residential structures R. Hasanzadeh Nafari et al. 10.5194/nhess-16-15-2016
107. Integrated flash flood vulnerability assessment: Insights from East Attica, Greece K. Karagiorgos et al. 10.1016/j.jhydrol.2016.02.052
108. Usefulness and limitations of global flood risk models P. Ward et al. 10.1038/nclimate2742
109. Key drivers and economic consequences of high‑end climate scenarios: uncertainties and risks K. Halsnæs et al. 10.3354/cr01308
110. Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al. 10.5194/nhess-18-2057-2018
111. Establishment of flood damage function model for rural roads: A case study in the Teesta River basin, Bangladesh S. Haque et al. 10.1016/j.pdisas.2022.100269
112. Predictive applications of Australian flood loss models after a temporal and spatial transfer R. Hasanzadeh Nafari & T. Ngo 10.1080/19475705.2018.1445666
113. Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam C. Luu et al. 10.1007/s11069-021-04821-7
114. Integrated mapping of water-related disasters using the analytical hierarchy process under land use change and climate change issues in Laos S. Phakonkham et al. 10.5194/nhess-21-1551-2021
115. Structural flood damage and the efficacy of property-level flood protection H. Chung & K. Adeyeye 10.1108/IJBPA-09-2017-0040
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117. Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi L. Wouters et al. 10.5194/nhess-21-3199-2021
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119. A novel framework for assessment of human impact of floods: Demonstrated for the Indian subcontinent A. Singh & C. Dhanya 10.1016/j.jhydrol.2024.131110
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122. Disaggregation of the Copernicus Land Use/Land Cover (LULC) and Population Density Data to Fit Mesoscale Flood Risk Assessment Requirements in Partially Urbanized Catchments in Croatia B. Horvat & N. Krvavica 10.3390/land12112014
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132. Evaluating the effect of flood damage-reducing measures: a case study of the unembanked area of Rotterdam, the Netherlands H. de Moel et al. 10.1007/s10113-013-0420-z
133. The spatial overlay effect of urban waterlogging risk and land use value Y. Ding et al. 10.1016/j.scitotenv.2024.174290
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135. Optimization of HPPs chain operation on the Lower Sava during flood events G. Rak & M. Brenčič 10.15292/acta.hydro.2019.07
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151. Flooding: Contributing factors to residential flood damage in Canada B. Deschamps et al. 10.1016/j.ijdrr.2025.105348
152. Damaging flood severity assessment in Northern Portugal over more than 150 years (1865–2016) M. Santos et al. 10.1007/s11069-017-3166-y
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158. A two-stage robust decision-making framework (2S-RDM) for flood risk adaptation under deep uncertainty J. Cai et al. 10.1016/j.fmre.2024.05.005
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162. Geospatial technology for flood hazard analysis in Comal Watershed, Central Java, Indonesia Y. Wibowo et al. 10.1088/1755-1315/1039/1/012027
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