298 citations as recorded by crossref.

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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. MODELING THE IMPACT OF SEA LEVEL RISE TO POTENTIAL FLOOD DAMAGE IN THE MEKONG T. SATO et al. 10.2208/jscejhe.70.I_103
35. Multi-variable flood damage modelling with limited data using supervised learning approaches D. Wagenaar et al. 10.5194/nhess-17-1683-2017
36. 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
37. Effects of variability in probable maximum precipitation patterns on flood losses A. Zischg et al. 10.5194/hess-22-2759-2018
38. Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. 10.1016/j.ijdrr.2021.102407
39. Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction S. López-Chacón et al. 10.3390/w15112020
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41. Flood vulnerability assessment of residential buildings by explicit damage process modelling R. Custer & K. Nishijima 10.1007/s11069-015-1725-7
42. A Method for Urban Flood Risk Assessment and Zoning Considering Road Environments and Terrain N. Chen et al. 10.3390/su11102734
43. 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
44. Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis P. Sibandze et al. 10.1007/s00267-024-02059-0
45. 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
46. 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
47. DamaGIS: a multisource geodatabase for collection of flood-related damage data C. Saint-Martin et al. 10.5194/essd-10-1019-2018
48. Multi-Model Projections of River Flood Risk in Europe under Global Warming L. Alfieri et al. 10.3390/cli6010006
49. Flood damage: a model for consistent, complete and multipurpose scenarios S. Menoni et al. 10.5194/nhess-16-2783-2016
50. 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
51. Exposure and vulnerability estimation for modelling flood losses to commercial assets in Europe D. Paprotny et al. 10.1016/j.scitotenv.2020.140011
52. Micro-sized enterprises: vulnerability to flash floods K. Karagiorgos et al. 10.1007/s11069-016-2476-9
53. How to Integrate Labor Disruption into an Economic Impact Evaluation Model for Postdisaster Recovery Periods Z. Zhang et al. 10.1111/risa.13365
54. 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
55. 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
56. 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
57. 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
58. Damage functions for transport infrastructure N. Habermann & R. Hedel 10.1108/IJDRBE-09-2017-0052
59. The impact of floodplain land use on flood wave propagation G. Rak et al. 10.1007/s11069-016-2322-0
60. 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
61. Assessing the cost-effectiveness of Nature-based Solutions under climate change uncertainty and learning L. Vogelsang et al. 10.1016/j.wre.2023.100224
62. 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
63. 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
64. 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
65. 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
66. Tomorrow's disasters – Embedding foresight principles into disaster risk assessment and treatment G. Riddell et al. 10.1016/j.ijdrr.2019.101437
67. 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
68. A model taxonomy for flood fragility and vulnerability assessment of buildings C. Galasso et al. 10.1016/j.ijdrr.2020.101985
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70. 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
71. 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
72. Water depth estimate and flood extent enhancement for satellite-based inundation maps A. Betterle & P. Salamon 10.5194/nhess-24-2817-2024
73. Improving the systems for surface runoff treatment O. Primin et al. 10.1051/e3sconf/202345702018
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75. 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
76. Low‐Probability Flood Risk Modeling for New York City J. Aerts et al. 10.1111/risa.12008
77. 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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81. An examination of flood resilience in London Borough of Southwark L. Nelson & N. Ahmadpoor 10.1016/j.uclim.2023.101692
82. 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
83. The impact of intense rainfall on insurance losses in two Swedish cities B. Blumenthal & L. Nyberg 10.1111/jfr3.12504
84. Compound simulation of fluvial floods and storm surges in a global coupled river‐coast flood model: Model development and its application to 2007 Cyclone Sidr in Bangladesh H. Ikeuchi et al. 10.1002/2017MS000943
85. Technical Note: Resolution enhancement of flood inundation grids S. Bryant et al. 10.5194/hess-28-575-2024
86. Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach A. Beltrán et al. 10.1111/risa.13136
87. Can regional to continental river hydrodynamic models be locally relevant? A cross-scale comparison A. Fleischmann et al. 10.1016/j.hydroa.2019.100027
88. 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
89. 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
90. Quantitative flood disaster loss-resilience with the multilevel hybrid evaluation model R. Yan et al. 10.1016/j.jenvman.2023.119026
91. 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
92. On the occurrence of rainstorm damage based on home insurance and weather data M. Spekkers et al. 10.5194/nhess-15-261-2015
93. 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
94. 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
95. Process‐Based Flood Risk Assessment for Germany N. Sairam et al. 10.1029/2021EF002259
96. An urban waterlogging footprint accounting based on emergy: A case study of Beijing K. Liu et al. 10.1016/j.apenergy.2023.121527
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101. 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
102. Sensitivity analysis of flood damage estimates: A case study in Fredericton, New Brunswick H. McGrath et al. 10.1016/j.ijdrr.2015.09.003
103. Flood risk assessment for delta mega-cities: a case study of Jakarta Y. Budiyono et al. 10.1007/s11069-014-1327-9
104. Calibration and validation of FLFA<sub>rs</sub> -- a new flood loss function for Australian residential structures R. Hasanzadeh Nafari et al. 10.5194/nhess-16-15-2016
105. Integrated flash flood vulnerability assessment: Insights from East Attica, Greece K. Karagiorgos et al. 10.1016/j.jhydrol.2016.02.052
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108. Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al. 10.5194/nhess-18-2057-2018
109. 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
110. Predictive applications of Australian flood loss models after a temporal and spatial transfer R. Hasanzadeh Nafari & T. Ngo 10.1080/19475705.2018.1445666
111. 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
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117. 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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120. 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
121. A Review of Flood Loss Models as Basis for Harmonization and Benchmarking T. Gerl et al. 10.1371/journal.pone.0159791
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130. 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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148. 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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