296 citations as recorded by crossref.

1. Flood precaution of companies and their ability to cope with the flood in August 2002 in Saxony, Germany H. Kreibich et al. https://doi.org/10.1029/2005WR004691
2. Regional flood impact assessment based on local land use patterns and sample damage records C. Aubrecht et al. https://doi.org/10.1088/1748-9326/6/4/044014
3. On the Influence of the Main Floor Layout of Buildings in Economic Flood Risk Assessment: Results from Central Spain J. Garrote & N. Bernal https://doi.org/10.3390/w12030670
4. Flood vulnerability mapping using frequency ratio (FR) model: a case study on Kulik river basin, Indo-Bangladesh Barind region D. Sarkar & P. Mondal https://doi.org/10.1007/s13201-019-1102-x
5. A Critical Review of Flood Risk Management and the Selection of Suitable Measures M. Tariq et al. https://doi.org/10.3390/app10238752
6. Shallow landslide's stochastic risk modelling based on the precipitation event of August 2005 in Switzerland: results and implications P. Nicolet et al. https://doi.org/10.5194/nhess-13-3169-2013
7. RegioFEM– Informing future‐oriented flood risk management at the regional scale (Part I) L. Löschner et al. https://doi.org/10.1111/jfr3.12754
8. Proposal of a flash flood impact severity scale for the classification and mapping of flash flood impacts M. Diakakis et al. https://doi.org/10.1016/j.jhydrol.2020.125452
9. Methods for the Evaluation of Intangible Flood Losses and Their Integration in Flood Risk Analysis D. Dassanayake et al. https://doi.org/10.1142/S0578563415400070
10. Interregional economic impacts of an extreme storm flood scenario considering transportation interruption: A case study of Shanghai, China W. Ding & J. Wu https://doi.org/10.1016/j.scs.2022.104296
11. Dynamic impact analysis of masonry buildings subjected to flood actions P. Lonetti & R. Maletta https://doi.org/10.1016/j.engstruct.2018.03.076
12. A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. https://doi.org/10.1029/2019WR025943
13. Flood Inundation Assessment Considering Hydrologic Conditions and Functionalities of Hydraulic Facilities Y. Wang et al. https://doi.org/10.3390/w10121879
14. The Economics and Politics of 'Green' Flood Control: A Historical Examination of Natural Valley Storage Protection by the Corps of Engineers C. Kousky https://doi.org/10.2139/ssrn.2432199
15. A model-based flood hazard mapping in Itang District of the Gambella region, Ethiopia D. Tadesse et al. https://doi.org/10.1080/24749508.2021.2022833
16. Comparative flood damage model assessment: towards a European approach B. Jongman et al. https://doi.org/10.5194/nhess-12-3733-2012
17. Reforestation and land use change as drivers for a decrease of avalanche damage in mid-latitude mountains (NW Spain) C. García-Hernández et al. https://doi.org/10.1016/j.gloplacha.2017.05.001
18. Risk-based flood protection planning under climate change and modeling uncertainty: a pre-alpine case study B. Dittes et al. https://doi.org/10.5194/nhess-18-1327-2018
19. Quantifying the ecosystem vulnerability to drought based on data integration and processes coupling L. Zhang et al. https://doi.org/10.1016/j.agrformet.2021.108354
20. Urban Seismic Risk Assessment by Integrating Direct Economic Loss and Loss of Statistical Life: An Empirical Study in Xiamen, China S. Zhou et al. https://doi.org/10.3390/ijerph17218154
21. Review Article: Economic evaluation of flood damage to agriculture – review and analysis of existing methods P. Brémond et al. https://doi.org/10.5194/nhess-13-2493-2013
22. Spatial and temporal changes of social flood vulnerability in municipalities of Slovakia M. Vojtek et al. https://doi.org/10.1080/19475705.2026.2616992
23. Uncertainty assessment in quantitative rockfall risk assessment X. Wang et al. https://doi.org/10.1007/s10346-013-0447-8
24. Separation and prioritization of uncertainty sources in a raster based flood inundation model using hierarchical Bayesian model averaging Z. Liu & V. Merwade https://doi.org/10.1016/j.jhydrol.2019.124100
25. Flood Damage Modeling on the Basis of Urban Structure Mapping Using High-Resolution Remote Sensing Data T. Gerl et al. https://doi.org/10.3390/w6082367
26. Climate change impacts on pricing long-term flood insurance: A comprehensive study for the Netherlands J. Aerts & W. Botzen https://doi.org/10.1016/j.gloenvcha.2011.04.005
27. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. https://doi.org/10.5194/nhess-19-661-2019
28. Urban Area Response to Flash Flood–Triggering Rainfall, Featuring Human Behavioral Factors: The Case of 22 October 2015 in Attica, Greece K. Papagiannaki et al. https://doi.org/10.1175/WCAS-D-16-0068.1
29. A digital elevation model based method for a rapid estimation of flood inundation depth S. Manfreda & C. Samela https://doi.org/10.1111/jfr3.12541
30. Towards robust validation strategies for EO flood maps T. Landwehr et al. https://doi.org/10.1016/j.rse.2024.114439
31. 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
32. Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset H. Jia et al. https://doi.org/10.3390/rs15030858
33. From hazard to impact: flood damage assessment tools for mega cities A. Chen et al. https://doi.org/10.1007/s11069-016-2223-2
34. Spatial Dependence Modeling of Flood Risk Using Max-Stable Processes: The Example of Austria H. Albrecher et al. https://doi.org/10.3390/w12061805
35. Uncertainties in flood risk mapping: a case study on estimating building damages for a river flood in Finland L. Koivumäki et al. https://doi.org/10.1111/j.1753-318X.2010.01064.x
36. 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
37. Flood risk assessments at different spatial scales H. de Moel et al. https://doi.org/10.1007/s11027-015-9654-z
38. Beurteilung des Hochwasserrisikos: Skalenaspekte und Umsetzung C. Neuhold & H. Nachtnebe https://doi.org/10.1007/s00506-012-0407-x
39. Bayesian optimal design of an avalanche dam using a multivariate numerical avalanche model N. Eckert et al. https://doi.org/10.1007/s00477-008-0287-6
40. Assessment and management of flood risks in Austria H. Nachtnebel & R. Faber https://doi.org/10.1080/15732470701189530
41. Joint Monte Carlo and possibilistic simulation for flood damage assessment J. Yu et al. https://doi.org/10.1007/s00477-012-0635-4
42. Development of an empirical flood fragility curve for levee failure and its application in probabilistic flood risk assessment: A case study of Citeureup Village, Indonesia M. Farid et al. https://doi.org/10.1016/j.ijdrr.2025.105793
43. Multi-source driven estimation of earthquake economic losses: A comprehensive and interpretable ensemble machine learning model J. Zhao et al. https://doi.org/10.1016/j.ijdrr.2024.104377
44. Spatial Distribution of Flood Incidents Along Urban Overland Flow-Paths S. Gaitan et al. https://doi.org/10.1007/s11269-015-1006-y
45. Damage functions for climate-related hazards: unification and uncertainty analysis B. Prahl et al. https://doi.org/10.5194/nhess-16-1189-2016
46. Coastal Flood Modeling Challenges in Defended Urban Backshores T. Gallien et al. https://doi.org/10.3390/geosciences8120450
47. The impact of multipurpose dams on the values of nature's contributions to people under a water-energy-food nexus framing S. Foudi et al. https://doi.org/10.1016/j.ecolecon.2023.107758
48. GIS-based distributed technique for assessing economic loss from flood damage: pre-feasibility study for the Anyang Stream Basin in Korea C. Yi et al. https://doi.org/10.1007/s11069-010-9524-7
49. Wie groß sind die Unsicherheiten bei der Schadenspotenzialermittlung infolge Überschwemmung? G. Kutschera https://doi.org/10.1007/BF03241573
50. A conceptual flood model based on cellular automata for probabilistic risk applications. M. Torres et al. https://doi.org/10.1016/j.envsoft.2022.105530
51. Estimating direct economic impacts of severe flood events in Turkey (2015–2020) G. Koç et al. https://doi.org/10.1016/j.ijdrr.2021.102222
52. Probabilistic depth–damage curves for assessment of flood-induced building losses H. McGrath et al. https://doi.org/10.1007/s11069-019-03622-3
53. Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method M. Tehrany et al. https://doi.org/10.1007/s00477-015-1021-9
54. 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
55. Analysis of Heavy Rain Damage Considering Regional Characteristics D. Kim et al. https://doi.org/10.9798/KOSHAM.2018.18.4.311
56. 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
57. Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra, India S. Das https://doi.org/10.1007/s12517-018-3933-4
58. A Consistent Approach for Probabilistic Residential Flood Loss Modeling in Europe S. Lüdtke et al. https://doi.org/10.1029/2019WR026213
59. Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. https://doi.org/10.1016/j.ijdrr.2021.102407
60. 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. https://doi.org/10.1016/j.cscm.2024.e03004
61. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. https://doi.org/10.5194/nhess-21-643-2021
62. Regional and Temporal Transferability of Multivariable Flood Damage Models D. Wagenaar et al. https://doi.org/10.1029/2017WR022233
63. Transitioning to resilience and sustainability in urban communities M. Collier et al. https://doi.org/10.1016/j.cities.2013.03.010
64. Ranking sources of uncertainty in flood damage modelling: a case study on the cost‐benefit analysis of a flood mitigation project in the Orb Delta, France N. Saint‐Geours et al. https://doi.org/10.1111/jfr3.12068
65. Empirical flood depth damage functions based on insurance data from multiple flood events in Japan Y. Tamaki et al. https://doi.org/10.3178/hrl.24-00025
66. Assessment of Modelling Structure and Data Availability Influence on Urban Flood Damage Modelling Uncertainty V. Notaro et al. https://doi.org/10.1016/j.proeng.2014.11.508
67. La modélisation des dommages et pertes financières consécutives aux inondations M. Voronkoff https://doi.org/10.1051/lhb/2011024
68. Making Different Decisions: Demonstrating the Influence of Climate Model Uncertainty on Adaptation Pathways J. Dimond et al. https://doi.org/10.3390/w17091366
69. Global exposure to river and coastal flooding: Long term trends and changes B. Jongman et al. https://doi.org/10.1016/j.gloenvcha.2012.07.004
70. River basin planning: from qualitative to quantitative flood risk assessment: the case of Abruzzo Region (central Italy) A. Scorzini & M. Leopardi https://doi.org/10.1007/s11069-017-2857-8
71. A cost-benefit analysis model for the retrofit of sustainable urban drainage systems towards improved flood risk mitigation O. Oladunjoye et al. https://doi.org/10.1108/IJBPA-12-2018-0105
72. New insights into US flood vulnerability revealed from flood insurance big data O. Wing et al. https://doi.org/10.1038/s41467-020-15264-2
73. Assessment of pluvial flood exposure and vulnerability of residential areas T. Grahn & L. Nyberg https://doi.org/10.1016/j.ijdrr.2017.01.016
74. How the choice of flood damage metrics influences urban flood risk assessment J. ten Veldhuis https://doi.org/10.1111/j.1753-318X.2011.01112.x
75. Review article: Climate change impacts on dam safety J. Fluixá-Sanmartín et al. https://doi.org/10.5194/nhess-18-2471-2018
76. Impacts of Triple Factors on Flash Flood Vulnerability in Egypt: Urban Growth, Extreme Climate, and Mismanagement M. Saber et al. https://doi.org/10.3390/geosciences10010024
77. Risk assessment for typhoon storm surges using geospatial techniques for the coastal areas of Guangdong, China C. Zhang et al. https://doi.org/10.1016/j.ocecoaman.2021.105880
78. Local scale multiple quantitative risk assessment and uncertainty evaluation in a densely urbanised area (Brescia, Italy) S. Lari et al. https://doi.org/10.5194/nhess-12-3387-2012
79. A high‐resolution large‐scale flood hazard and economic risk model for the property loss insurance in Japan K. Kobayashi et al. https://doi.org/10.1111/jfr3.12117
80. Tracing the value of data for flood loss modelling K. Schröter et al. https://doi.org/10.1051/e3sconf/20160705005
81. Calibration and validation of FLFArs -- a new flood loss function for Australian residential structures R. Hasanzadeh Nafari et al. https://doi.org/10.5194/nhess-16-15-2016
82. Measurement Approach to Develop Flood-Based Damage Fragilities for Residential Buildings Following Repeat Inundation Events P. Shane Crawford et al. https://doi.org/10.1061/AJRUA6.0001219
83. Annualised risk analysis approach to recommend appropriate level of flood control: application to Swannanoa river watershed A. Kalyanapu et al. https://doi.org/10.1111/jfr3.12108
84. Understanding flood risk in the context of community resilience modeling for the built environment: research needs and trends O. Nofal & J. van de Lindt https://doi.org/10.1080/23789689.2020.1722546
85. A new framework integrating flood inundation modeling and multicriteria decision-making for enhanced flood risk mapping I. Jesna et al. https://doi.org/10.1007/s11069-024-06718-7
86. Extraction of flooding features with multifractal analysis for the Wujiang River of South China L. Wang et al. https://doi.org/10.1007/s12665-019-8401-2
87. Urban Population Flood Impact Applied to a Warsaw Scenario J. Nowak Da Costa et al. https://doi.org/10.3390/resources10060062
88. 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. https://doi.org/10.5194/nhess-21-3199-2021
89. Flood damage curves: new insights from the 2010 flood in Veneto, Italy A. Scorzini & E. Frank https://doi.org/10.1111/jfr3.12163
90. Flood risk, climate change and settlement development: a micro-scale assessment of Austrian municipalities L. Löschner et al. https://doi.org/10.1007/s10113-016-1009-0
91. Simulating floodwater movement in pavements for developing post-flooding time-depth-damage functions Y. Qiao et al. https://doi.org/10.1016/j.conbuildmat.2023.132408
92. Direct tangible damage assessment for regional snowmelt flood disasters with HJ-1 and HR satellite images: a case study of the Altay region, northern Xinjiang, China S. Yang et al. https://doi.org/10.1007/s11069-018-3458-x
93. Extending coupled hydrological-hydraulic model chains with a surrogate model for the estimation of flood losses A. Zischg et al. https://doi.org/10.1016/j.envsoft.2018.08.009
94. Application of Geological Weighted Regression to Establish Loss Functions Reflecting Spatial Variation T. Cheong et al. https://doi.org/10.9798/KOSHAM.2014.14.5.359
95. Rice drought risk assessment under climate change: Based on physical vulnerability a quantitative assessment method H. Guo et al. https://doi.org/10.1016/j.scitotenv.2020.141481
96. Flooding: Contributing factors to residential flood damage in Canada B. Deschamps et al. https://doi.org/10.1016/j.ijdrr.2025.105348
97. Event-based approach for probabilistic flood risk assessment M. Torres et al. https://doi.org/10.1080/15715124.2013.847844
98. Neglecting uncertainties biases house-elevation decisions to manage riverine flood risks M. Zarekarizi et al. https://doi.org/10.1038/s41467-020-19188-9
99. Integrated hydrodynamic and economic modelling of flood damage in the Netherlands S. Jonkman et al. https://doi.org/10.1016/j.ecolecon.2007.12.022
100. Understanding Flood Risk Perception: A Case Study from Canada K. Oubennaceur et al. https://doi.org/10.3390/su14053087
101. A mathematical model for determining the maximum impact stress on a downstream structure induced by dam-break flow in mountain rivers F. Xu et al. https://doi.org/10.1007/s12517-014-1596-3
102. Spatial Analysis of Climate Risk in the West Bank, Palestine S. Alawna & X. Garcia https://doi.org/10.3390/world6030121
103. Climate change risk assessment: A holistic multi-stakeholder methodology for the sustainable development of cities A. Gandini et al. https://doi.org/10.1016/j.scs.2020.102641
104. Flood damage models and flood damage factors in a data-scarce river basin, Nigeria A. Komolafe et al. https://doi.org/10.1080/17477891.2024.2394206
105. The Effect of Damage Functions on Urban Flood Damage Appraisal V. Notaro et al. https://doi.org/10.1016/j.proeng.2014.02.138
106. Flood risk analysis: uncertainties and validation B. Merz et al. https://doi.org/10.1007/s00506-008-0001-4
107. Flood Vulnerability Models and Household Flood Damage Mitigation Measures: An Econometric Analysis of Survey Data T. Endendijk et al. https://doi.org/10.1029/2022WR034192
108. Spatially Heterogeneous Effects of Flood Hazards on Housing Prices: A Case Study of Nanjing, China Y. Chen et al. https://doi.org/10.1007/s12061-025-09759-y
109. Managing natural disaster risks in a changing climate W. BOTZEN & J. VAN DEN BERGH https://doi.org/10.3763/ehaz.2009.0023
110. Spatiotemporal analysis of residential flood exposure in the Atlanta, Georgia metropolitan area A. Ferguson & W. Ashley https://doi.org/10.1007/s11069-017-2806-6
111. Empirical flash flood vulnerability functions for residential buildings C. Arrighi et al. https://doi.org/10.1007/s42452-020-2696-1
112. Flood damage functions based on a single physics- and data-based impact parameter that jointly accounts for water depth and velocity T. Lazzarin et al. https://doi.org/10.1016/j.jhydrol.2022.127485
113. Prompt Proxy Mapping of Flood Damaged Rice Fields Using MODIS-Derived Indices Y. Kwak et al. https://doi.org/10.3390/rs71215805
114. The Impact of Flood Risk on the Activity of the Residential Land Market in a Polish Cultural Heritage Town M. Dudzińska et al. https://doi.org/10.3390/su122310098
115. Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS M. Tehrany et al. https://doi.org/10.1016/j.jhydrol.2013.09.034
116. Quantitative risk evaluation for late rice: hazard factors in Zhejiang province, China R. Cheng et al. https://doi.org/10.1080/19475705.2020.1748726
117. Assessing Effectiveness of National Flood Policy Through Spatiotemporal Monitoring of Socioeconomic Exposure1 L. Patterson & M. Doyle https://doi.org/10.1111/j.1752-1688.2008.00275.x
118. Assessing the immediate and short-term impact of flooding on residential property participant behaviour C. Eves & S. Wilkinson https://doi.org/10.1007/s11069-013-0961-y
119. 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
120. Material damage caused by high-magnitude rainfall based on insurance data: Comparing two flooding events in the Lisbon Metropolitan Area and Madeira Island, Portugal M. Leal et al. https://doi.org/10.1016/j.ijdrr.2020.101806
121. Probabilistic El Niño effect on flood damages assessment F. Hooshyaripor https://doi.org/10.1002/joc.7494
122. Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data C. Arrighi et al. https://doi.org/10.5194/nhess-13-1375-2013
123. Flood loss estimation using 3D city models and remote sensing data K. Schröter et al. https://doi.org/10.1016/j.envsoft.2018.03.032
124. Challenges in urban flood management: travelling across spatial and temporal scales C. Zevenbergen et al. https://doi.org/10.1111/j.1753-318X.2008.00010.x
125. Testing the use of reimbursement data to obtain damage curves in urbanised areas: the case of the Piedmont flood on October 2000 D. Bignami et al. https://doi.org/10.1111/jfr3.12292
126. Developing a Depth–Damage Function for the Built Environment to Support Disaster Risk Assessment in India A. Harikumar & S. Thampi https://doi.org/10.1061/JWRMD5.WRENG-7116
127. Low‐Probability Flood Risk Modeling for New York City J. Aerts et al. https://doi.org/10.1111/risa.12008
128. A framework to include the (inter)dependencies of Disaster Risk Reduction measures in coastal risk assessment L. Cumiskey et al. https://doi.org/10.1016/j.coastaleng.2017.08.009
129. Quantifying the effect of sea level rise and flood defence – a point process perspective on coastal flood damage M. Boettle et al. https://doi.org/10.5194/nhess-16-559-2016
130. From global circulation to local flood loss: Coupling models across the scales G. Felder et al. https://doi.org/10.1016/j.scitotenv.2018.04.170
131. A multi‐scale framework for flood risk analysis at spatially distributed locations L. Speight et al. https://doi.org/10.1111/jfr3.12175
132. Probabilistic Models Significantly Reduce Uncertainty in Hurricane Harvey Pluvial Flood Loss Estimates V. Rözer et al. https://doi.org/10.1029/2018EF001074
133. Ex post damage assessment: an Italian experience D. Molinari et al. https://doi.org/10.5194/nhess-14-901-2014
134. Review article: A review and critical analysis of the efforts towards urban flood risk management in the Lagos region of Nigeria U. Nkwunonwo et al. https://doi.org/10.5194/nhess-16-349-2016
135. Has flood damage being reduced? A resident perspective on the effectiveness of flood management L. Hong et al. https://doi.org/10.1371/journal.pone.0325286
136. Modelling the benefits of flood emergency management measures in reducing damages: a case study on Sondrio, Italy D. Molinari et al. https://doi.org/10.5194/nhess-13-1913-2013
137. Expert-based versus data-driven flood damage models: A comparative evaluation for data-scarce regions M. Malgwi et al. https://doi.org/10.1016/j.ijdrr.2021.102148
138. Effect of spatial adaptation measures on flood risk: study of coastal floods in Belgium E. Koks et al. https://doi.org/10.1007/s10113-013-0514-7
139. Multi-model ensembles for assessment of flood losses and associated uncertainty R. Figueiredo et al. https://doi.org/10.5194/nhess-18-1297-2018
140. Assessing the impact of climate change on fluvial flood losses in urban areas: a case study of Pamplona (Spain) E. Soriano et al. https://doi.org/10.1080/02626667.2023.2246452
141. Terrestrial and airborne laser scanning and 2-D modelling for 3-D flood hazard maps in urban areas: new opportunities and perspectives P. Costabile et al. https://doi.org/10.1016/j.envsoft.2020.104889
142. Rapid assessment of surface-water flood-management options in urban catchments J. Webber et al. https://doi.org/10.1080/1573062X.2018.1424212
143. Hydraulic modeling of the 2011 New Madrid Floodway activation: a case study on floodway activation controls A. Luke et al. https://doi.org/10.1007/s11069-015-1680-3
144. Sea level rise and coastal flooding threaten affordable housing M. Buchanan et al. https://doi.org/10.1088/1748-9326/abb266
145. A framework for a microscale flood damage assessment and visualization for a building using BIM–GIS integration S. Amirebrahimi et al. https://doi.org/10.1080/17538947.2015.1034201
146. Bilevel multi-objective construction site security planning with twofold random phenomenon Z. Li et al. https://doi.org/10.3934/jimo.2015.11.595
147. Flood Damage Analysis: First Floor Elevation Uncertainty Resulting from LiDAR-Derived Digital Surface Models J. Bodoque et al. https://doi.org/10.3390/rs8070604
148. Economic evaluation of structural and non-structural flood risk management measures: examples from the Mulde River V. Meyer et al. https://doi.org/10.1007/s11069-011-9997-z
149. Analyzing the sensitivity of a flood risk assessment model towards its input data H. Glas et al. https://doi.org/10.5194/nhess-16-2529-2016
150. Assessment of tangible coastal inundation damage related to critical infrastructure and buildings: The case of Mauritius Island M. Sadien et al. https://doi.org/10.1016/j.ijdrr.2024.104909
151. Application of the concept of cost benefits analysis (CBA) to property level flood risk adaptation measures R. Joseph et al. https://doi.org/10.1108/SS-12-2012-0043
152. An Evaluation of Risk-Based Agricultural Land-Use Adjustments under a Flood Management Strategy in a Floodplain M. Tariq et al. https://doi.org/10.3390/hydrology8010053
153. A model taxonomy for flood fragility and vulnerability assessment of buildings C. Galasso et al. https://doi.org/10.1016/j.ijdrr.2020.101985
154. A performance-based approach to quantify atmospheric river flood risk C. Bowers et al. https://doi.org/10.5194/nhess-22-1371-2022
155. Grasping the unavoidable subjectivity in calibration of flood inundation models: A vulnerability weighted approach F. Pappenberger et al. https://doi.org/10.1016/j.jhydrol.2006.08.017
156. Research on establishment of the region flood protection standard - a case of watershed of Dajiaxi, Taiwan H. Chang et al. https://doi.org/10.1080/1573062X.2020.1864831
157. Dataset on Flood Risk Along the Niger River Upstream of Niamey M. Tiepolo et al. https://doi.org/10.3390/data11060139
158. Evaluating the Effects of Inundation Duration and Velocity on Selection of Flood Management Alternatives Using Multi-Criteria Decision Making E. Ahmadisharaf et al. https://doi.org/10.1007/s11269-015-0956-4
159. Emerging strategies for addressing flood-damage modeling issues: A review S. Redondo-Tilano et al. https://doi.org/10.1016/j.ijdrr.2024.105058
160. Risk assessment and zoning of flood disaster in Wuchengxiyu Region, China C. Gao et al. https://doi.org/10.1016/j.uclim.2023.101562
161. Who responds more to environmental amenities and dis-amenities? D. Rajapaksa et al. https://doi.org/10.1016/j.landusepol.2016.12.029
162. Development and evaluation of FLFAcs – A new Flood Loss Function for Australian commercial structures R. Hasanzadeh Nafari et al. https://doi.org/10.1016/j.ijdrr.2016.03.007
163. On flood risk pooling in Europe F. Prettenthaler et al. https://doi.org/10.1007/s11069-016-2616-2
164. COASTAL FLOOD RISK: THE IMPORTANCE OF INTANGIBLE LOSSES AND THEIR INTEGRATION D. Dassanayake et al. https://doi.org/10.9753/icce.v33.management.80
165. Flood damage and shutdown times for industrial process facilities: a vulnerability assessment process framework C. Friedland et al. https://doi.org/10.3389/frwa.2023.1292564
166. Flood‐resilient waterfront development in New York City: Bridging flood insurance, building codes, and flood zoning J. Aerts & W. Wouter Botzen https://doi.org/10.1111/j.1749-6632.2011.06074.x
167. Modeling the residential building stock in the Middle East for multi-hazard risk assessment J. Dabbeek & V. Silva https://doi.org/10.1007/s11069-019-03842-7
168. Flood Depth-Damage Functions for Built Environment A. Pistrika et al. https://doi.org/10.1007/s40710-014-0038-2
169. Quantitative assessment of urban flood disaster damages using the S-curve − A case study of Zhengzhou City W. Du et al. https://doi.org/10.1016/j.jhydrol.2025.133169
170. Evaluating the effect of flood damage-reducing measures: a case study of the unembanked area of Rotterdam, the Netherlands H. de Moel et al. https://doi.org/10.1007/s10113-013-0420-z
171. GIS-based frequency ratio and Shannon's entropy techniques for flood vulnerability assessment in Patna district, Central Bihar, India D. Sarkar et al. https://doi.org/10.1007/s13762-021-03627-1
172. A real-time operation optimization model for flood management in river-reservoir systems B. Malekmohammadi et al. https://doi.org/10.1007/s11069-009-9442-8
173. A coupled probabilistic hydrologic and hydraulic modelling framework to investigate the uncertainty of flood loss estimates E. Ahmadisharaf & A. Kalyanapu https://doi.org/10.1111/jfr3.12536
174. Application of Machine Learning for Integrated Flood Risk Assessment: Case Study of Hurricane Harvey in Houston, Texas https://doi.org/10.20900/jsr20260025
175. Estimation of the local financial costs of flood damage with different methodologies in Unye (Ordu), Turkey N. Beden & A. Ulke Keskin https://doi.org/10.1007/s11069-021-04802-w
176. Uncertainty in flood damage estimates and its potential effect on investment decisions D. Wagenaar et al. https://doi.org/10.5194/nhess-16-1-2016
177. A novel expert opinion-based approach to compute estimations of flood damage to property in dense urban environments. Barcelona case study E. Martínez-Gomariz et al. https://doi.org/10.1016/j.jhydrol.2021.126244
178. Flood Loss Models and Risk Analysis for Private Households in Can Tho City, Vietnam D. Chinh et al. https://doi.org/10.3390/w9050313
179. Flood risk mapping for direct damage to residential buildings in Quebec, Canada K. Oubennaceur et al. https://doi.org/10.1016/j.ijdrr.2018.09.007
180. Analysis of a detention basin impact on dike failure probabilities and flood risk for a channel-dike-floodplain system along the river Elbe, Germany S. Vorogushyn et al. https://doi.org/10.1016/j.jhydrol.2012.03.006
181. 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
182. Uncertainty and sensitivity analysis of coastal flood damage estimates in the west of the Netherlands H. de Moel et al. https://doi.org/10.5194/nhess-12-1045-2012
183. A historical examination of the Corps of Engineers and natural valley storage protection: the economics and politics of ‘green’ flood control C. Kousky https://doi.org/10.1080/19390459.2014.963372
184. New estimates of potential impacts of sea level rise and coastal floods in Poland D. Paprotny & P. Terefenko https://doi.org/10.1007/s11069-016-2619-z
185. Influence of Microtopography and Alluvial Lowland Characteristics on Location and Development of Residential Areas in the Kuji River Basin of Japan R. Itsukushima et al. https://doi.org/10.3390/su12010065
186. Evaluation of flood risk as a step in determining the “Acceptable Risk” criteria. Case study: Dengkeng River, Klaten, Central Java A. Sarminingsih & M. Hadiwidodo https://doi.org/10.1088/1755-1315/894/1/012045
187. Assessment of the physical flood susceptibility of buildings on a large scale – conceptual and methodological frameworks A. Blanco-Vogt & J. Schanze https://doi.org/10.5194/nhess-14-2105-2014
188. Micro-scale flood risk analysis based on detailed 2D hydraulic modelling and high resolution geographic data J. Ernst et al. https://doi.org/10.1007/s11069-010-9520-y
189. The value of the flood control service of tropical forests: A case study for Trinidad B. Brookhuis & L. Hein https://doi.org/10.1016/j.forpol.2015.10.002
190. The monetary benefit of early flood warnings in Europe F. Pappenberger et al. https://doi.org/10.1016/j.envsci.2015.04.016
191. Examining direct and indirect flood damages in residential and business sectors through an empirical lens S. Kabirzad et al. https://doi.org/10.2166/wst.2024.202
192. Damage assessment of lake floods: Insured damage to private property during two lake floods in Sweden 2000/2001 T. Grahn & R. Nyberg https://doi.org/10.1016/j.ijdrr.2014.10.003
193. Flood risk curves and uncertainty bounds B. Merz & A. Thieken https://doi.org/10.1007/s11069-009-9452-6
194. End‐to‐end flood risk assessment: A coupled model cascade with uncertainty estimation H. McMillan & J. Brasington https://doi.org/10.1029/2007WR005995
195. A generic physical vulnerability model for floods: review and concept for data-scarce regions M. Malgwi et al. https://doi.org/10.5194/nhess-20-2067-2020
196. Room for Rivers: Risk Reduction by Enhancing the Flood Conveyance Capacity of The Netherlands’ Large Rivers F. Klijn et al. https://doi.org/10.3390/geosciences8060224
197. The impact of flooding on road transport: A depth-disruption function M. Pregnolato et al. https://doi.org/10.1016/j.trd.2017.06.020
198. Contribution of insurance data to cost assessment of coastal flood damage to residential buildings: insights gained from Johanna (2008) and Xynthia (2010) storm events C. André et al. https://doi.org/10.5194/nhess-13-2003-2013
199. Large-scale assessment of flood risk and the effects of mitigation measures along the Elbe River J. de Kok & M. Grossmann https://doi.org/10.1007/s11069-009-9363-6
200. Evaluating the Cost of Failure Risk: A Case Study of the Kang-Wei-Kou Stream Diversion Project C. Liang et al. https://doi.org/10.3390/w13202881
201. 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
202. Micro-level assessment of regional and local disaster impacts in tourist destinations J. Schmude et al. https://doi.org/10.1080/14616688.2018.1438506
203. Implementation issues for total risk calculation for groups of sites B. Gartsman et al. https://doi.org/10.1016/j.pce.2008.12.001
204. A tri-system urban waterlogging risk assessment framework based on GIS- game theory combination weight: a case of Zhengzhou City Y. Li & Z. Hu https://doi.org/10.1007/s11069-024-06780-1
205. A framework for flood risk assessment under nonstationary conditions or in the absence of historical data L. Cunha et al. https://doi.org/10.1111/j.1753-318X.2010.01085.x
206. A BIM-GIS integration method in support of the assessment and 3D visualisation of flood damage to a building S. Amirebrahimi et al. https://doi.org/10.1080/14498596.2016.1189365
207. Different types of flooding lead to different human and material damages: the case of the Lisbon Metropolitan Area M. Leal et al. https://doi.org/10.1007/s11069-017-3153-3
208. Benchmarking urban flood models of varying complexity and scale using high resolution terrestrial LiDAR data T. Fewtrell et al. https://doi.org/10.1016/j.pce.2010.12.011
209. A Comprehensive Analysis of Groundwater Inundation Vulnerability and Remediation for Infrastructures A. Alsaffar et al. https://doi.org/10.1051/e3sconf/202342704004
210. The object-specific flood damage database HOWAS 21 P. Kellermann et al. https://doi.org/10.5194/nhess-20-2503-2020
211. New Urbanist developments in flood-prone areas: safe development, or safe development paradox? M. Stevens et al. https://doi.org/10.1007/s11069-009-9450-8
212. Predicting the resilience of transport infrastructure to a natural disaster using Cox’s proportional hazards regression model M. Mojtahedi et al. https://doi.org/10.1007/s11069-016-2624-2
213. Deconstructing urban flood damages: increasing the expressiveness of flood damage models combining a high level of detail with a broad attribute set W. Veerbeek & C. Zevenbergen https://doi.org/10.1111/j.1753-318X.2009.01021.x
214. Estimation of flood damage functions for river basin planning: a case study in Bangladesh Y. Yang et al. https://doi.org/10.1007/s11069-014-1459-y
215. Flood Damage Assessment in HAZUS Using Various Resolution of Data and One-Dimensional and Two-Dimensional HEC-RAS Depth Grids E. Ghimire & S. Sharma https://doi.org/10.1061/(ASCE)NH.1527-6996.0000430
216. Flood insurance rate map for non-structural mitigation R. Roslan et al. https://doi.org/10.1051/e3sconf/20197603002
217. Coastal inundation and damage exposure estimation: a case study for Jakarta P. Ward et al. https://doi.org/10.1007/s11069-010-9599-1
218. Uncertainty and Sensitivity Analysis of the HAZUS-MH Flood Model E. Tate et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000167
219. About the influence of elevation model quality and small-scale damage functions on flood damage estimation M. Boettle et al. https://doi.org/10.5194/nhess-11-3327-2011
220. Predictive applications of Australian flood loss models after a temporal and spatial transfer R. Hasanzadeh Nafari & T. Ngo https://doi.org/10.1080/19475705.2018.1445666
221. Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al. https://doi.org/10.5194/nhess-18-2057-2018
222. Damage to residential buildings due to flooding of New Orleans after hurricane Katrina A. Pistrika & S. Jonkman https://doi.org/10.1007/s11069-009-9476-y
223. Sensitivity analysis of flood damage estimates: A case study in Fredericton, New Brunswick H. McGrath et al. https://doi.org/10.1016/j.ijdrr.2015.09.003
224. An Empirical, Functional approach to Depth Damages W. Lehman et al. https://doi.org/10.1051/e3sconf/20160705002
225. Gridded precipitation products on the Hindu Kush-Himalaya: Performance and accuracy of seven precipitation products B. Mishra et al. https://doi.org/10.1371/journal.pwat.0000145
226. How reliable are projections of future flood damage? P. Bubeck et al. https://doi.org/10.5194/nhess-11-3293-2011
227. Probabilistic life-cycle cost-benefit analysis of portfolios of buildings under flood hazard Y. Dong & D. Frangopol https://doi.org/10.1016/j.engstruct.2017.03.063
228. Adaptive Short-Term Flood Defense Deployment Planning M. Ni & T. Erfani https://doi.org/10.1061/(ASCE)WR.1943-5452.0001551
229. Simplified automatic prediction of the level of damage to similar buildings affected by river flood in a specific area D. Marín-García et al. https://doi.org/10.1016/j.scs.2022.104251
230. Assessment of climatic risks for real estate J. Hirsch et al. https://doi.org/10.1108/PM-01-2015-0005
231. Flood risk assessment in a coastal lagoon under present and future scenarios: Ria de Aveiro case study C. Lopes et al. https://doi.org/10.1007/s11069-017-3025-x
232. Flood damage and influencing factors: New insights from the August 2002 flood in Germany A. Thieken et al. https://doi.org/10.1029/2005WR004177
233. Optimal dynamic climate adaptation pathways: a case study of New York City C. Truong et al. https://doi.org/10.1007/s10479-024-05886-w
234. GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques M. Shafapour Tehrany et al. https://doi.org/10.1080/19475705.2017.1362038
235. Residential flood risk in Metro Vancouver due to climate change using probability boxes H. Viseh & D. Bristow https://doi.org/10.1080/15715124.2023.2200006
236. Flood risk analyses—how detailed do we need to be? H. Apel et al. https://doi.org/10.1007/s11069-008-9277-8
237. An EPIC model-based vulnerability assessment of wheat subject to drought Y. Yue et al. https://doi.org/10.1007/s11069-015-1793-8
238. Assessing vulnerability of buildings to hydro-meteorological hazards using an expert based approach – An application in Nehoiu Valley, Romania A. Godfrey et al. https://doi.org/10.1016/j.ijdrr.2015.06.001
239. Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates H. de Moel & J. Aerts https://doi.org/10.1007/s11069-010-9675-6
240. Probabilistic flood risk analysis considering morphological dynamics and dike failure J. Oliver et al. https://doi.org/10.1007/s11069-017-3126-6
241. A Multi-Hazard Risk Assessment Framework for Urban Disaster Prevention Planning: A Case Study of Xiamen, China S. Zhou & G. Zhai https://doi.org/10.3390/land12101884
242. Changes in transport accessibility as a result of flooding: a case study of the Mazovia Province (Eastern Poland) M. Borowska-Stefańska & S. Wiśniewski https://doi.org/10.1080/17477891.2017.1343177
243. Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. https://doi.org/10.1111/jfr3.12736
244. Probabilistic Assessment of Pluvial Flood Risk Across 20 European Cities: A Demonstrator of the Copernicus Disaster Risk Reduction Service for Pluvial Flood Risk in Urban Areas A. Essenfelder et al. https://doi.org/10.1142/S2382624X22400070
245. The Effect of Flood Protection Works on Flood Risk G. Mitsopoulos et al. https://doi.org/10.3390/w14233936
246. Mitigation of the Adverse Consequences of Floods for Human Life, Infrastructure, and the Environment M. Zeleňáková et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000255
247. Are flood damage models converging to “reality”? Lessons learnt from a blind test D. Molinari et al. https://doi.org/10.5194/nhess-20-2997-2020
248. The impact of uncertain precipitation data on insurance loss estimates using a flood catastrophe model C. Sampson et al. https://doi.org/10.5194/hess-18-2305-2014
249. Assessment of direct economic losses of flood disasters based on spatial valuation of land use and quantification of vulnerabilities: a case study on the 2014 flood in Lishui city of China H. Zhang et al. https://doi.org/10.5194/nhess-21-3161-2021
250. Real-time unified single- and multi-channel structural damage detection using recursive singular spectrum analysis B. Bhowmik et al. https://doi.org/10.1177/1475921718760483
251. The impact of flood dynamics on property values D. Rajapaksa et al. https://doi.org/10.1016/j.landusepol.2017.08.038
252. Socio-Economic Potential Impacts Due to Urban Pluvial Floods in Badalona (Spain) in a Context of Climate Change E. Martínez-Gomariz et al. https://doi.org/10.3390/w11122658
253. Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS A. Sebastian et al. https://doi.org/10.1007/s11069-021-04922-3
254. Targeting property flood resilience in flood risk management J. Webber et al. https://doi.org/10.1111/jfr3.12723
255. Szacowanie potencjalnych strat powodziowych w kontekście zmian zagospodarowania obszarów zalewowych przy wykorzystaniu GIS E. Głosińska & Ł. Lechowski https://doi.org/10.18778/1508-1117.14.09
256. Flood loss models for residential buildings, based on the 2013 Colorado floods D. Deniz et al. https://doi.org/10.1007/s11069-016-2615-3
257. Willingness of homeowners to mitigate climate risk through insurance W. Botzen et al. https://doi.org/10.1016/j.ecolecon.2009.02.019
258. Uncertainty and sensitivity of flood risk calculations for a dike ring in the south of the Netherlands H. de Moel et al. https://doi.org/10.1016/j.scitotenv.2013.12.015
259. Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. https://doi.org/10.1029/2018WR022858
260. Built Infrastructure Conditions Mediate the Relationship between Stakeholders Attributes and Flood Damage: An Empirical Case Study M. Mojtahedi & B. Oo https://doi.org/10.3390/su13179739
261. Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system Y. Chen et al. https://doi.org/10.1016/j.ejor.2016.07.027
262. Loss of life due to floods S. Jonkman & J. Vrijling https://doi.org/10.1111/j.1753-318X.2008.00006.x
263. What drives uncertainty surrounding riverine flood risks? I. Hosseini-Shakib et al. https://doi.org/10.1016/j.jhydrol.2024.131055
264. Measuring and mapping the flood vulnerability based on land-use patterns: a case study of Beijing, China J. Liu et al. https://doi.org/10.1007/s11069-016-2375-0
265. The flood of June 2013 in Germany: how much do we know about its impacts? A. Thieken et al. https://doi.org/10.5194/nhess-16-1519-2016
266. Subgrid Model of Fluid Force Acting on Buildings for Three-Dimensional Flood Inundation Simulations R. Kubota et al. https://doi.org/10.3390/w15173166
267. Landslides: A state-of-the art on the current position in the landslide research community M. Mikoš https://doi.org/10.1007/s10346-011-0297-1
268. Flooding and mobility: a polish analysis S. Wiśniewski et al. https://doi.org/10.1080/17477891.2020.1810608
269. Comparing Flood Damages to an Industrial Region in Turkey Using Several Methods P. Spor & E. Doğan https://doi.org/10.1142/S2382624X2350011X
270. Probabilistic Flood Loss Models for Companies L. Schoppa et al. https://doi.org/10.1029/2020WR027649
271. How useful are complex flood damage models? K. Schröter et al. https://doi.org/10.1002/2013WR014396
272. Systemic Financial Risk Arising From Residential Flood Losses H. Thomson et al. https://doi.org/10.1029/2022EF003206
273. Multi-Variate Analyses of Flood Loss in Can Tho City, Mekong Delta D. Chinh et al. https://doi.org/10.3390/w8010006
274. A catastrophe progression approach based index sensitivity analysis model for the multivariate flooding process L. Wang et al. https://doi.org/10.1007/s00477-016-1339-y
275. Bias in Flood Hazard Grid Aggregation S. Bryant et al. https://doi.org/10.1029/2023WR035100
276. Uncertainty in flood damage estimation* R. Egorova et al. https://doi.org/10.1080/15715124.2008.9635343
277. Integrated spatial flood risk assessment: The case of Zaragoza S. Foudi et al. https://doi.org/10.1016/j.landusepol.2014.08.002
278. Beurteilung des Hochwasser-Schadenspotenzials unter dynamischen Bedingungen H. Nachtnebel & B. Apperl https://doi.org/10.1007/s00506-015-0220-4
279. Quantifying Sediment Deposition Volume in Vegetated Areas with UAV Data S. Emtehani et al. https://doi.org/10.3390/rs13122391
280. Urban flood impact assessment: A state-of-the-art review M. Hammond et al. https://doi.org/10.1080/1573062X.2013.857421
281. Adaptability and transferability of flood loss functions in residential areas H. Cammerer et al. https://doi.org/10.5194/nhess-13-3063-2013
282. Study on Influencing Factors of Flood Damage to Single Houses using Field Survey Data C. Choi et al. https://doi.org/10.9798/KOSHAM.2018.18.7.535
283. Assembly-based flood repair cost and time models for industrial buildings in Turkey H. Olmez & D. Deniz https://doi.org/10.1016/j.ress.2023.109444
284. Evaluation of bivariate statistical and hybrid models for the preparation of flood hazard susceptibility maps in the Brahmani River Basin, India A. Anand & S. Pradhan https://doi.org/10.1007/s12665-023-11069-w
285. Physical vulnerability assessment for alpine hazards: state of the art and future needs M. Papathoma-Köhle et al. https://doi.org/10.1007/s11069-010-9632-4
286. A lesson in preparedness: assessing the effectiveness of low-cost post-wildfire flood protection measures for the catastrophic flood in Kineta, Greece G. Papaioannou et al. https://doi.org/10.5194/hess-30-1487-2026
287. Socio-economic impacts of flooding: A review of the empirical literature M. Allaire https://doi.org/10.1016/j.wasec.2018.09.002
288. Multi-hazard risk assessment for roads: probabilistic versus deterministic approaches S. Oberndorfer et al. https://doi.org/10.5194/nhess-20-3135-2020
289. 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
290. Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy A. Taramelli et al. https://doi.org/10.5194/nhess-22-3543-2022
291. Flood damage assessment of an urban area in Taiwan Y. Chen et al. https://doi.org/10.1007/s11069-016-2362-5
292. How much does an extreme rainfall event cost? Material damage and relationships between insurance, rainfall, land cover and urban flooding M. Leal et al. https://doi.org/10.1080/02626667.2019.1595625
293. Physical vulnerability assessment to flash floods using an indicator‐based methodology based on building properties and flow parameters M. Leal et al. https://doi.org/10.1111/jfr3.12712
294. Incorporating Hydrologic Uncertainty in Industrial Economic Models: Implications of Extreme Rainfall Variability on Metal Mining Investments J. Savolainen et al. https://doi.org/10.1007/s10230-019-00600-w
295. Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al. https://doi.org/10.1016/j.ijdrr.2021.102208
296. A statistical analysis of insurance damage claims related to rainfall extremes M. Spekkers et al. https://doi.org/10.5194/hess-17-913-2013