960 citations as recorded by crossref.

1. Brief Communication: Simple-INSYDE, development of a new tool for flood damage evaluation from an existing synthetic model M. Galliani et al. https://doi.org/10.5194/nhess-20-2937-2020
2. Towards integrated multi-risk reduction strategies: A catalog of flood and earthquake risk mitigation measures at the building and neighborhood scales A. FathiAzar et al. https://doi.org/10.1016/j.ijdrr.2024.104884
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
5. Multi-hazard risk assessment for roads: probabilistic versus deterministic approaches S. Oberndorfer et al. https://doi.org/10.5194/nhess-20-3135-2020
6. Assessing potential loss and damage for flood hazard using an econometric modelling technique S. Basnayake et al. https://doi.org/10.30852/sb.2021.1499
7. 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
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
9. A cost-benefit analysis of flood early warning system: Evidence from lower Brahmaputra River Basin, Bangladesh A. Islam et al. https://doi.org/10.1016/j.ijdrr.2024.104380
10. Establishment of Damage Assessment Inventory and Damage Analysis Methods for Estimating Economic Loss H. Kim et al. https://doi.org/10.9798/KOSHAM.2018.18.3.125
11. A spatial analytical approach for evaluating flood risk and property damages: Methodological improvements to modelling P. Lorente https://doi.org/10.1111/jfr3.12483
12. Subgrid Model of Fluid Force Acting on Buildings for Three-Dimensional Flood Inundation Simulations R. Kubota et al. https://doi.org/10.3390/w15173166
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
17. 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
18. Probabilistic framework for quantifying infrastructure systems’ resilience against floods A. Daneshifar & H. Kashani https://doi.org/10.1080/23789689.2024.2328977
19. Exploring the Potential for Multivariate Fragility Representations to Alter Flood Risk Estimates R. Jane et al. https://doi.org/10.1111/risa.13007
20. Probabilistic urban flood risk assessment of multi-sectoral economic losses due to levee overtopping M. Farid et al. https://doi.org/10.1016/j.rineng.2025.106260
21. Climate Change Adaptation: Evaluating Simple Alternatives to Real Options Analysis G. Guthrie https://doi.org/10.2139/ssrn.4613300
22. A practical approach to flood hazard, vulnerability, and risk assessing and mapping for Quang Binh province, Vietnam H. Ha et al. https://doi.org/10.1007/s10668-021-02041-4
23. Survey of computational intelligence as basis to big flood management: challenges, research directions and future work F. Fotovatikhah et al. https://doi.org/10.1080/19942060.2018.1448896
24. UNSAFE: An UNcertain Structure And Fragility Ensemble framework for property-level flood risk estimation A. Pollack et al. https://doi.org/10.21105/joss.07527
25. Developing drought impact functions for drought risk management S. Bachmair et al. https://doi.org/10.5194/nhess-17-1947-2017
26. Flood plain inundation modeling with explicit description of land surface macrostructures S. Pizzileo et al. https://doi.org/10.1016/j.advwatres.2024.104713
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. Flood vulnerability assessment of residential buildings by explicit damage process modelling R. Custer & K. Nishijima https://doi.org/10.1007/s11069-015-1725-7
31. Assessing entrepreneurial and regional‐economic flood impacts on a globalized production facility C. Pfurtscheller & M. Vetter https://doi.org/10.1111/jfr3.12102
32. Impacts of Natural Disasters on Households and Small Businesses in India A. Patankar https://doi.org/10.2139/ssrn.3590902
33. Flood experience and risk predictability paradox of households: Implications for structural risk reduction and urban planning in Ghana, Africa D. Dovie et al. https://doi.org/10.1016/j.habitatint.2026.103721
34. 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
35. Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis P. Sibandze et al. https://doi.org/10.1007/s00267-024-02059-0
36. Diagnostic framework for causal inference in seasonal urban flooding: Precipitation-based control selection and synthetic difference-in-differences in Lagos, Nigeria L. Zhang et al. https://doi.org/10.1016/j.ijdrr.2026.105993
37. 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
38. 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
39. Identifying and characterising individual flood precautionary behaviour dynamics from panel data L. Berghäuser et al. https://doi.org/10.1016/j.ijdrr.2023.103835
40. From anecdotes to quantification: advances in characterizing volcanic eruption impacts on the built environment N. Deligne et al. https://doi.org/10.1007/s00445-021-01506-8
41. Theoretical implications of institutional, environmental, and technological changes for capacity choices of water projects Y. Xie & D. Zilberman https://doi.org/10.1016/j.wre.2015.08.004
42. Unmanned Aerial Systems-Aided Post-Flood Peak Discharge Estimation in Ephemeral Streams E. Andreadakis et al. https://doi.org/10.3390/rs12244183
43. Predicting flood damage using the flood peak ratio and Giovanni Flooded Fraction H. Ghaedi et al. https://doi.org/10.1371/journal.pone.0271230
44. The 2011 flood event in the Mekong Delta: preparedness, response, damage and recovery of private households and small businesses D. Chinh et al. https://doi.org/10.1111/disa.12171
45. Evaluation of residential building damage for the July 2021 flood in Westport, New Zealand R. Paulik et al. https://doi.org/10.1186/s40562-024-00323-z
46. Price model of multiple-trigger flood bond with trigger indices of aggregate losses and maximum number of submerged houses . Sukono et al. https://doi.org/10.1016/j.ijdrr.2024.105156
47. A deep learning technique based flood propagation experiment J. Hou et al. https://doi.org/10.1111/jfr3.12718
48. What data analytics can or cannot do for climate change studies: An inventory of interactive visual tools E. Bhardwaj & P. Khaiter https://doi.org/10.1016/j.ecoinf.2022.101918
49. Multi-sectoral, high-resolution assessment of climate change consequences of coastal flooding A. Toimil et al. https://doi.org/10.1007/s10584-017-2104-z
50. A rapid urban flood inundation and damage assessment model B. Jamali et al. https://doi.org/10.1016/j.jhydrol.2018.07.064
51. Challenges in paleoflood hydrology applied to risk analysis in mountainous watersheds – A review J. Bodoque et al. https://doi.org/10.1016/j.jhydrol.2014.12.004
52. Modelling the socio-economic impact of river floods in Europe L. Alfieri et al. https://doi.org/10.5194/nhess-16-1401-2016
53. 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
54. 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
55. Flood damage assessment of an urban area in Taiwan Y. Chen et al. https://doi.org/10.1007/s11069-016-2362-5
56. 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
57. 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
58. Investigating the effects of spatial heterogeneity of multi-source profile soil moisture on spatial–temporal processes of high-resolution floods H. Yang et al. https://doi.org/10.1016/j.jhydrol.2025.132672
59. Towards dynamics in flood risk assessment B. Mazzorana et al. https://doi.org/10.5194/nhess-12-3571-2012
60. Smart Video Analytics Solution to Identify Urban Floodborne Objects U. Iqbal et al. https://doi.org/10.1061/JCCEE5.CPENG-6526
61. Evaluating Catchment-Scale Physically Based Modeling of Sediment Deposition During an Extreme Rainfall Event S. Emtehani et al. https://doi.org/10.3390/geosciences16020088
62. Valuing the storm surge protection service of US Gulf Coast wetlands E. Barbier & B. Enchelmeyer https://doi.org/10.1080/21606544.2013.876370
63. Establishment of flood damage function model for rural roads: A case study in the Teesta River basin, Bangladesh S. Haque et al. https://doi.org/10.1016/j.pdisas.2022.100269
64. 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
65. 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
66. Quantifying Sediment Deposition Volume in Vegetated Areas with UAV Data S. Emtehani et al. https://doi.org/10.3390/rs13122391
67. GIS‐Based Identification and Analysis of Optimal Evacuation Areas and Routes in Flood‐Prone Zones of Swabi District, Pakistan S. Ahmad et al. https://doi.org/10.1155/2024/9550808
68. 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
69. 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
70. 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
71. 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
72. Flood damage: a model for consistent, complete and multipurpose scenarios S. Menoni et al. https://doi.org/10.5194/nhess-16-2783-2016
73. Hazus: A standardized methodology for flood risk assessment in Canada M. Nastev & N. Todorov https://doi.org/10.1080/07011784.2013.801599
74. 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
75. 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
76. 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
77. Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings T. Hanák et al. https://doi.org/10.3390/su12073047
78. A Time-Integrated Index for Flood Risk to Resistance Capacity O. Rezende et al. https://doi.org/10.3390/w11071321
79. Floodplains in the Anthropocene: A Global Analysis of the Interplay Between Human Population, Built Environment, and Flood Severity M. Mazzoleni et al. https://doi.org/10.1029/2020WR027744
80. Do we prioritize floodplains for development and farming? Mapping global dependence and exposure to inundation R. Dryden et al. https://doi.org/10.1016/j.gloenvcha.2021.102370
81. Effects of digital terrain model uncertainties on high‐resolution urban flood damage assessment C. Arrighi & L. Campo https://doi.org/10.1111/jfr3.12530
82. 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
83. 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
84. A quantitative analysis of research trends in flood hazard assessment W. Zhu et al. https://doi.org/10.1007/s00477-022-02302-2
85. 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
86. A framework for performing comparative LCA between repairing flooded houses and construction of dikes in non-stationary climate with changing risk of flooding T. Hennequin et al. https://doi.org/10.1016/j.scitotenv.2018.05.404
87. A hydro‐economic modelling framework for flood damage estimation and the role of riparian vegetation N. Kourgialas & G. Karatzas https://doi.org/10.1002/hyp.9256
88. Integrating remote sensing and GIS-based AHP for flood hazard assessment in the Damodar River Basin, India M. Khadav et al. https://doi.org/10.1016/j.eve.2026.100123
89. Spatiotemporal floodplain mapping and prediction using HEC-RAS - GIS tools: Case of the Mejerda river, Tunisia C. Ben Khalfallah & S. Saidi https://doi.org/10.1016/j.jafrearsci.2018.03.004
90. 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
91. Improving Flood Inundation Mapping Accuracy Using HEC-RAS Modeling: A Case Study of the Neches River Tidal Floodplain in Texas Q. Qian et al. https://doi.org/10.1061/JHYEFF.HEENG-6037
92. Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction D. Wagenaar et al. https://doi.org/10.1111/risa.13575
93. People, not just places: Expanding physical and social vulnerability indices by psychological indicators P. Babcicky & S. Seebauer https://doi.org/10.1111/jfr3.12752
94. DamaGIS: a multisource geodatabase for collection of flood-related damage data C. Saint-Martin et al. https://doi.org/10.5194/essd-10-1019-2018
95. Flood Depth-Damage Functions for Built Environment A. Pistrika et al. https://doi.org/10.1007/s40710-014-0038-2
96. A probabilistic modeling and simulation framework for power grid flood risk assessment P. Asaridis et al. https://doi.org/10.1016/j.ijdrr.2025.105353
97. An integrated Bayesian networks and Geographic information system (BNs-GIS) approach for flood disaster risk assessment: A case study of Yinchuan, China Y. Lu et al. https://doi.org/10.1016/j.ecolind.2024.112322
98. Coastal Flood Damage Estimator: An Alternative to FEMA’s HAZUS Platform M. Karamouz et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001017
99. Mitigation of Flood Risks with the Aid of the Critical Points Method K. Drbal et al. https://doi.org/10.3390/agronomy12061300
100. Rapid Flood Damage Prediction and Forecasting Using Public Domain Cadastral and Address Point Data with Fuzzy Logic Algorithms J. Gutenson et al. https://doi.org/10.1111/1752-1688.12556
101. Assessing flood disaster impacts in agriculture under climate change in the river basins of Southeast Asia B. Shrestha et al. https://doi.org/10.1007/s11069-019-03632-1
102. Whole value at risk for flood damage estimates through spatial data analysis N. Martyn et al. https://doi.org/10.1088/2634-4505/ad29d2
103. Warm Season Extreme Flood Events in the Midwestern US—Sources of Moisture and Physical Mechanisms S. Kim & F. Dominguez https://doi.org/10.1029/2022JD038208
104. Assessing the impacts of floods and evaluating flood risk management measures in Dolo Ado town, Somali Region, Ethiopia A. Salah et al. https://doi.org/10.1007/s10668-025-06407-w
105. Spatial Transferability of Residential Building Damage Models between Coastal and Fluvial Flood Hazard Contexts R. Paulik et al. https://doi.org/10.3390/jmse11101960
106. Firm heterogeneity and regional economic recovery from environmental shocks J. Akkerman et al. https://doi.org/10.1016/j.ecolecon.2026.109037
107. Multi-Variate Analyses of Flood Loss in Can Tho City, Mekong Delta D. Chinh et al. https://doi.org/10.3390/w8010006
108. Integrated Flood Risk Assessment : Object-Level Analysis in Korea’s Nakdong River Basin J. Yang & J. Yoo https://doi.org/10.17208/jkpa.2025.02.60.1.160
109. Assessment of Corporate Financial Flood Risks Due to Property Damage and Business Interruption Loss M. Abe & P. Adriaens https://doi.org/10.1007/s13753-025-00638-1
110. Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach S. Polovina et al. https://doi.org/10.3390/app11094154
111. Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment V. Kumar et al. https://doi.org/10.3934/environsci.2025004
112. Approach for Assessing Direct Flood Damages L. Gaňová et al. https://doi.org/10.2478/sspjce-2014-0016
113. 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
114. Numerical Modeling the Flood and Pollutant Transport Processes in Residential Areas with Different Land Use Types S. Fang et al. https://doi.org/10.1155/2022/9320089
115. Integrated Flood Management in developing countries: balancing flood risk, sustainable livelihoods, and ecosystem services A. Juarez Lucas & K. Kibler https://doi.org/10.1080/15715124.2015.1068180
116. 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
117. 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
118. 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
119. RF-CLASS: A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making L. Di et al. https://doi.org/10.1016/S2095-3119(16)61499-5
120. Improving economic assessment and decision-making for managed retreat through CBA+: a targeted literature review B. Cross et al. https://doi.org/10.3389/fclim.2025.1481824
121. Economic impact of flood damage based on inter-regional input–output analysis: a case of local rivers in the Nakdong River basin J. Yang & K. Jung https://doi.org/10.1088/2515-7620/adca96
122. A Conceptual Framework for Comprehensive Assessment of Risk Prevention Measures: The Kulturisk Framework (KR-FWK) S. Balbi et al. https://doi.org/10.2139/ssrn.2184193
123. Analysis of business interruption risk factors of Chinese enterprises during flood disasters based on social network analysis L. Ma et al. https://doi.org/10.1016/j.crm.2021.100353
124. A spatial and integrated flood risk diagnosis O. Bennani et al. https://doi.org/10.1108/DPM-12-2018-0379
125. A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model D. Shen et al. https://doi.org/10.3390/w11050987
126. Rising Seas, Rising Inequity? Communities at Risk in the San Francisco Bay Area and Implications for Adaptation Policy I. Bick et al. https://doi.org/10.1029/2020EF001963
127. Cascading impact chains and recovery challenges of the 2024 Valencia catastrophic floods A. Fekete et al. https://doi.org/10.1007/s43621-025-01483-4
128. Urban Population Flood Impact Applied to a Warsaw Scenario J. Nowak Da Costa et al. https://doi.org/10.3390/resources10060062
129. Flood Management Policies, Planning Capacities and the Health Implications in Nigeria E. Udokporo et al. https://doi.org/10.38124/ijisrt/25oct503
130. Action-based flood forecasting for triggering humanitarian action E. Coughlan de Perez et al. https://doi.org/10.5194/hess-20-3549-2016
131. Agriculture damage data collection: A model for reconstructing comprehensive damage dynamics A. Faiella https://doi.org/10.1016/j.pdisas.2020.100112
132. 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
133. The spectrum of uncertainty in flood damage assessment S. Shoaib et al. https://doi.org/10.2166/wcc.2022.430
134. Spatial heterogeneity and multivariate drivers of flood hazard in data-scarce small watersheds N. Yang et al. https://doi.org/10.1016/j.ejrh.2026.103479
135. BN-FLEMOΔ: a Bayesian-network-based flood loss estimation model for adaptation planning in Ho Chi Minh City, Vietnam K. Shahi et al. https://doi.org/10.5194/nhess-25-2845-2025
136. Coping with Pluvial Floods by Private Households V. Rözer et al. https://doi.org/10.3390/w8070304
137. Structural Damage Prediction in a High-Velocity Urban Dam-Break Flood: Field-Scale Assessment of Predictive Skill H. Gallegos et al. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000427
138. Information-theoretic portfolio decision model for optimal flood management M. Convertino et al. https://doi.org/10.1016/j.envsoft.2019.06.013
139. History, causes, and trend of floods in the U.S.: a review R. Abegaz et al. https://doi.org/10.1007/s11069-024-06791-y
140. Modeling the latent impacts of extreme floods on indoor mold spores in residential buildings: Application of machine learning algorithms M. Pakdehi et al. https://doi.org/10.1016/j.envint.2025.109319
141. Assessing the operation rules of a reservoir system based on a detailed modelling chain M. Bruwier et al. https://doi.org/10.5194/nhess-15-365-2015
142. 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
143. Assessing the effects of flood resilience technologies on building scale S. Golz et al. https://doi.org/10.1080/1573062X.2014.939090
144. Assessing direct and indirect economic impacts of a flood event through the integration of spatial and computable general equilibrium modelling L. Carrera et al. https://doi.org/10.1016/j.envsoft.2014.09.016
145. The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods F. Ballio et al. https://doi.org/10.1111/jfr3.12216
146. Assessing the Vulnerability of Structures and Residential Communities to Storm Surge: An Analysis of Flood Impact during Hurricane Sandy A. Hatzikyriakou & N. Lin https://doi.org/10.3389/fbuil.2018.00004
147. Advancing flood damage modeling for coastal Alabama residential properties: A multivariable machine learning approach M. Museru et al. https://doi.org/10.1016/j.scitotenv.2023.167872
148. Ex post damage assessment: an Italian experience D. Molinari et al. https://doi.org/10.5194/nhess-14-901-2014
149. The Effect of Flood Protection Works on Flood Risk G. Mitsopoulos et al. https://doi.org/10.3390/w14233936
150. Societal and economic impacts of flood hazards in Turkey – an overview G. Koç et al. https://doi.org/10.1051/e3sconf/20160705012
151. Multi-model ensembles for assessment of flood losses and associated uncertainty R. Figueiredo et al. https://doi.org/10.5194/nhess-18-1297-2018
152. A Multiscale Model to Assess Bridge Vulnerability Under Extreme Wave Loading U. De Maio et al. https://doi.org/10.3390/jmse12122145
153. Hydro-Meteorological Characteristics of the 1973 Catastrophic Flood in the Mahi Basin, India U. Pawar et al. https://doi.org/10.3390/w15091648
154. Flood protection by embankments in the Brahmani–Baitarani river basin, India: a risk-based approach M. Marchand et al. https://doi.org/10.1080/07900627.2021.1899899
155. Development of flood damage functions for agricultural crops and their applicability in regions of Asia B. Shrestha et al. https://doi.org/10.1016/j.ejrh.2021.100872
156. Scenario-based economic and societal risk assessment of storm flooding in Shanghai J. Tang et al. https://doi.org/10.1108/IJCCSM-06-2021-0058
157. Capturing flood-risk dynamics with a coupled agent-based and hydraulic modelling framework T. Michaelis et al. https://doi.org/10.1080/02626667.2020.1750617
158. 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
159. The Extent and Nature of Potential Flood Damage to Commercial Property Structures in the Midwestern United States S. Shultz https://doi.org/10.1111/j.1936-704X.2017.3253.x
160. INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis F. Dottori et al. https://doi.org/10.5194/nhess-16-2577-2016
161. A new approach to flood vulnerability assessment for historic buildings in England V. Stephenson & D. D'Ayala https://doi.org/10.5194/nhess-14-1035-2014
162. Determinants of Rural Households’ Intensity of Flood Adaptation in the Fogera Rice Plain, Ethiopia: Evidence from Generalised Poisson Regression K. Ndue et al. https://doi.org/10.3390/su151411025
163. Evaluation of flood metrics across the Mississippi-Atchafalaya River Basin and their relation to flood damages K. Schilling et al. https://doi.org/10.1371/journal.pone.0307486
164. Postdisaster Impact Assessment of Road Infrastructure: State-of-the-Art Review A. Gajanayake et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000343
165. Estimation and quantitative analysis of Expected Annual Damage (EAD) caused by urban flooding: a case study of Seoul, Korea Y. Seong et al. https://doi.org/10.1080/19475705.2025.2582753
166. Multi-Scale Assessment of the Economic Impacts of Flooding: Evidence from Firm to Macro-Level Analysis in the Chinese Manufacturing Sector X. Hu et al. https://doi.org/10.3390/su11071933
167. Capturing Regional Differences in Flood Vulnerability Improves Flood Loss Estimation N. Sairam et al. https://doi.org/10.3389/frwa.2022.817625
168. Assessing the impact of early warning and evacuation on human losses during the 2021 Ahr Valley flood in Germany using agent-based modelling A. Silva et al. https://doi.org/10.5194/nhess-25-1501-2025
169. An Approach Based on the Protected Object for Dam-Break Flood Risk Management Exemplified at the Zipingpu Reservoir C. Fan et al. https://doi.org/10.3390/ijerph16193786
170. A Consistent Approach for Probabilistic Residential Flood Loss Modeling in Europe S. Lüdtke et al. https://doi.org/10.1029/2019WR026213
171. Impact Forecasting to Support Emergency Management of Natural Hazards B. Merz et al. https://doi.org/10.1029/2020RG000704
172. Assessment of the effectiveness of structural and nonstructural measures to cope with global change impacts in Barcelona M. Velasco et al. https://doi.org/10.1111/jfr3.12247
173. From single- to multi-hazard vulnerability and risk in Historic Urban Areas: a literature review P. Julià & T. Ferreira https://doi.org/10.1007/s11069-021-04734-5
174. Floods and climate: emerging perspectives for flood risk assessment and management B. Merz et al. https://doi.org/10.5194/nhess-14-1921-2014
175. Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network O. Rahmati et al. https://doi.org/10.3390/w11112370
176. 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
177. Back-Analysis of the Abbadia San Salvatore (Mt. Amiata, Italy) Debris Flow of 27–28 July 2019: An Integrated Multidisciplinary Approach to a Challenging Case Study M. Amaddii et al. https://doi.org/10.3390/geosciences12100385
178. Selecting coastal hotspots to storm impacts at the regional scale: a Coastal Risk Assessment Framework C. Viavattene et al. https://doi.org/10.1016/j.coastaleng.2017.09.002
179. "Built Environment Flood Resilience Capability Maturity Model" O. Adeniyi et al. https://doi.org/10.1016/j.proeng.2018.01.100
180. 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
181. FloodRisk: a collaborative, free and open-source software for flood risk analysis R. Albano et al. https://doi.org/10.1080/19475705.2017.1388854
182. A review of flood damage analysis for a building structure and contents M. Marvi https://doi.org/10.1007/s11069-020-03941-w
183. Developing flood vulnerability curve for rice crop using remote sensing and hydrodynamic modeling V. Hendrawan & D. Komori https://doi.org/10.1016/j.ijdrr.2021.102058
184. Estimating Flood Inundation in Urban Areas Using a Scenario Generation Method and Inundation Graphs J. Shin & D. Rhee https://doi.org/10.3390/app14031310
185. Socio-economic Complexities of Flood Memory in Building Resilience: An Overview of Research N. Bhattacharya-Mis & J. Lamond https://doi.org/10.1016/S2212-5671(14)00920-4
186. Development of generalized loss functions for rapid estimation of flood damages: a case study in Kelani River basin, Sri Lanka A. Komolafe et al. https://doi.org/10.1007/s12518-017-0200-4
187. Analysis of large flood events: Based on flood data during 1985–2016 in Australia and India M. Halgamuge & A. Nirmalathas https://doi.org/10.1016/j.ijdrr.2017.05.011
188. Exploring the urban water-energy-food nexus under environmental hazards within the Nile N. Elagib et al. https://doi.org/10.1007/s00477-019-01706-x
189. Assessing effects of nature-based and other municipal adaptation measures on insured heavy rain damages V. Ooms et al. https://doi.org/10.5194/nhess-25-4283-2025
190. Critical infrastructure cascading effects. Disaster resilience assessment for floods affecting city of Cologne and Rhein‐Erft‐Kreis A. Fekete https://doi.org/10.1111/jfr3.12600
191. Systematic literature review of methodologies for assessing the costs of disasters D. Eckhardt et al. https://doi.org/10.1016/j.ijdrr.2018.10.010
192. 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
193. Spatialization and assessment of flood hazard using 1D numerical simulation in the plain of Oued Laou (north Morocco) O. Amellah et al. https://doi.org/10.1007/s12517-020-05592-4
194. 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
195. Urban Flood Loss Estimation and Evacuation Design Based on a 500-Year Extreme Flood Event in Syracuse City Y. Si et al. https://doi.org/10.3390/w15010003
196. Application of Machine Learning for Integrated Flood Risk Assessment: Case Study of Hurricane Harvey in Houston, Texas https://doi.org/10.20900/jsr20260025
197. Maintenance in sustainable stormwater management: issues, barriers and challenges E. Knapik et al. https://doi.org/10.1080/09640568.2024.2325041
198. Climate Change and the Escalating Cost of Floods: New Insights from Regional Risk Assessment Perspective A. Vidmar et al. https://doi.org/10.3390/cli13110223
199. The Extremal Value Analysis of Sea Level in the Gulf of Cádiz and Alborán Sea: A New Methodology and the Resilience of Critical Infrastructures J. Alonso del Rosario et al. https://doi.org/10.3390/jmse13081567
200. Flood susceptibility analysis through remote sensing, GIS and frequency ratio model S. Samanta et al. https://doi.org/10.1007/s13201-018-0710-1
201. How does the quantification of uncertainties affect the quality and value of flood early warning systems? A. Thiboult et al. https://doi.org/10.1016/j.jhydrol.2017.05.014
202. Ex-Ante Flooding Damages’ Monetary Valuation Model for Productive and Environmental Resources V. Del Giudice et al. https://doi.org/10.3390/w16050665
203. Quantifying Flood Vulnerability Reduction via Private Precaution N. Sairam et al. https://doi.org/10.1029/2018EF000994
204. Global warming to increase flood risk on European railways P. Bubeck et al. https://doi.org/10.1007/s10584-019-02434-5
205. Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. https://doi.org/10.5194/nhess-21-1599-2021
206. Linking direct rainfall hydrodynamic and fuzzy loss models for generating flood damage map M. Sedighkia & B. Datta https://doi.org/10.1080/09715010.2024.2325432
207. Multi-variate flood damage assessment: a tree-based data-mining approach B. Merz et al. https://doi.org/10.5194/nhess-13-53-2013
208. Establishment of detailed loss functions for the urban flood risk assessment in Chao Phraya River basin, Thailand A. Komolafe et al. https://doi.org/10.1080/19475705.2018.1539038
209. Framework for economic cost assessment of land subsidence S. Kok & A. Costa https://doi.org/10.1007/s11069-021-04520-3
210. 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
211. Temporal and Spatial Analysis of Flood Occurrences in the Drainage Basin of Pinios River (Thessaly, Central Greece) G. Bathrellos et al. https://doi.org/10.3390/land7030106
212. Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar W. Zin et al. https://doi.org/10.20965/jdr.2020.p0300
213. Potential of semi-structural and non-structural adaptation strategies to reduce future flood risk: case study for the Meuse J. Poussin et al. https://doi.org/10.5194/nhess-12-3455-2012
214. Increase in flood risk resulting from climate change in a developed urban watershed – the role of storm temporal patterns S. Hettiarachchi et al. https://doi.org/10.5194/hess-22-2041-2018
215. The SAVEMEDCOASTS-2 webGIS: The Online Platform for Relative Sea Level Rise and Storm Surge Scenarios up to 2100 for the Mediterranean Coasts A. Falciano et al. https://doi.org/10.3390/jmse11112071
216. Climate change and river floods in the European Union: Socio-economic consequences and the costs and benefits of adaptation R. Rojas et al. https://doi.org/10.1016/j.gloenvcha.2013.08.006
217. Development of flood damage assessment method for residential areas considering various house types for Bago Region of Myanmar B. Shrestha et al. https://doi.org/10.1016/j.ijdrr.2021.102602
218. Flood risk assessment and coping capacity of floods in central Vietnam T. Vu & R. Ranzi https://doi.org/10.1016/j.jher.2016.06.001
219. Coastal protection by coral reefs: A framework for spatial assessment and economic valuation B. van Zanten et al. https://doi.org/10.1016/j.ocecoaman.2014.05.001
220. Insights into Flood Risk Misperceptions of Homeowners in the Dutch River Delta J. Mol et al. https://doi.org/10.1111/risa.13479
221. 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
222. Development of a building-scale integrated flood damage quantifying framework using a hydrodynamic model and multisource geospatial data G. Luo et al. https://doi.org/10.1016/j.ijdrr.2026.106068
223. 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
224. 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
225. Modelling national residential building exposure to flooding hazards R. Paulik et al. https://doi.org/10.1016/j.ijdrr.2023.103826
226. Make it personal: Introducing intangible outcomes and psychological sources to flood vulnerability and policy P. Babcicky et al. https://doi.org/10.1016/j.ijdrr.2021.102169
227. On the Influence of Input Data Quality to Flood Damage Estimation: The Performance of the INSYDE Model D. Molinari & A. Scorzini https://doi.org/10.3390/w9090688
228. Flood risk assessment of the European road network K. van Ginkel et al. https://doi.org/10.5194/nhess-21-1011-2021
229. A Historical Overview of Methods for the Estimation of Erosion Processes on the Territory of the Republic of Serbia I. Malušević et al. https://doi.org/10.3390/land14020405
230. Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, Iran S. Paryani et al. https://doi.org/10.1007/s11069-022-05701-4
231. Integrated spatial flood risk assessment: The case of Zaragoza S. Foudi et al. https://doi.org/10.1016/j.landusepol.2014.08.002
232. What are the hydro-meteorological controls on flood characteristics? M. Nied et al. https://doi.org/10.1016/j.jhydrol.2016.12.003
233. Re-thinking socio-economic impact assessments of disasters: The 2015 flood in Rio Branco, Brazilian Amazon D. Dolman et al. https://doi.org/10.1016/j.ijdrr.2018.04.024
234. At-site flood frequency analysis in Brazil M. Valentini et al. https://doi.org/10.1007/s11069-023-06231-3
235. Assessing the flood risk of riverine households: A case study from the right bank of the Teesta River, Bangladesh M. Mondal et al. https://doi.org/10.1016/j.ijdrr.2020.101758
236. Avalanche risk evaluation and protective dam optimal design using extreme value statistics P. FAVIER et al. https://doi.org/10.1017/jog.2016.64
237. Dynamic maps of human exposure to floods based on mobile phone data M. Balistrocchi et al. https://doi.org/10.5194/nhess-20-3485-2020
238. Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach H. van Verseveld et al. https://doi.org/10.1016/j.coastaleng.2015.05.006
239. Remote Sensing Based Rapid Assessment of Flood Crop Damage Using Novel Disaster Vegetation Damage Index (DVDI) M. Rahman et al. https://doi.org/10.1007/s13753-020-00305-7
240. A PCA spatial pattern based artificial neural network downscaling model for urban flood hazard assessment J. Carreau & V. Guinot https://doi.org/10.1016/j.advwatres.2020.103821
241. Unveiling the assessment process behind an integrated flood risk management plan M. Arosio et al. https://doi.org/10.1016/j.ijdrr.2024.104755
242. GIS-based identification and analysis of suitable evacuation areas and routes in flood-prone zones of Nakhon Si Thammarat municipality P. Suwanno et al. https://doi.org/10.1016/j.iatssr.2023.08.004
243. Causes, impacts, and mitigation strategies of urban pluvial floods in India: A systematic review H. Singh et al. https://doi.org/10.1016/j.ijdrr.2023.103751
244. An Area‐Based Approach for Estimating Extreme Precipitation Probability P. Gao et al. https://doi.org/10.1111/gean.12148
245. Numerical Simulation of Flood Propagation in the Kelara River Flood Early Warning System F. Maricar et al. https://doi.org/10.14796/JWMM.C501
246. Flooding: Contributing factors to residential flood damage in Canada B. Deschamps et al. https://doi.org/10.1016/j.ijdrr.2025.105348
247. A smart sustainable system for flood damage management with the application of artificial intelligence and multi-criteria decision-making computations O. Zabihi et al. https://doi.org/10.1016/j.ijdrr.2022.103470
248. Describing adaptation tipping points in coastal flood risk management T. Ramm et al. https://doi.org/10.1016/j.compenvurbsys.2018.01.002
249. Damage functions for climate-related hazards: unification and uncertainty analysis B. Prahl et al. https://doi.org/10.5194/nhess-16-1189-2016
250. 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
251. 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. https://doi.org/10.1111/jfr3.13052
252. Understanding the Costs of Inaction–An Assessment of Pluvial Flood Damages in Two European Cities H. Nicklin et al. https://doi.org/10.3390/w11040801
253. Assessment of multiple predictors to the psychological effects of flooding for residential and business areas in Peninsular Malaysia S. Kabirzad et al. https://doi.org/10.5194/nhess-26-2015-2026
254. 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
255. Assessing 40 Years of Flood Risk Evolution at the Micro-Scale Using an Innovative Modeling Approach: The Effects of Urbanization and Land Planning T. Lazzarin et al. https://doi.org/10.3390/geosciences13040112
256. Model parameter influence on probabilistic flood risk analysis R. Paulik et al. https://doi.org/10.1016/j.ijdrr.2023.104215
257. Towards a reliable and cost-efficient flood risk management: the case of the Basque Country (Spain) D. Ocio et al. https://doi.org/10.1007/s11069-015-2099-6
258. A tale of two coasts: Unveiling US Gulf and Atlantic coastal cities at high flood risk H. Dey & W. Shao https://doi.org/10.1126/sciadv.aec2079
259. A participatory systems dynamic modelling approach to understanding flood systems in a coastal community in Cameroon L. Awah et al. https://doi.org/10.1016/j.ijdrr.2023.104236
260. Hierarchical Bayesian Approach for Modeling Spatiotemporal Variability in Flood Damage Processes N. Sairam et al. https://doi.org/10.1029/2019WR025068
261. 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
262. Applicability of urban streets as temporary open floodways T. Skrede et al. https://doi.org/10.2166/nh.2020.067
263. Historical precipitation and flood damage in Japan: functional data analysis and evaluation of models A. Wakai et al. https://doi.org/10.1371/journal.pone.0318335
264. Uncertainty Assessment of Climate Change Adaptation Options Using an Economic Pluvial Flood Risk Framework Q. Zhou & K. Arnbjerg-Nielsen https://doi.org/10.3390/w10121877
265. Regional disaster impact analysis: comparing input–output and computable general equilibrium models E. Koks et al. https://doi.org/10.5194/nhess-16-1911-2016
266. Quantifying the spatial pattern of urban expansion trends in the period 1987–2022 and identifying areas at risk of flooding due to the impact of urbanization in Lao Cai city T. Do et al. https://doi.org/10.1016/j.ecoinf.2022.101912
267. Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China C. Cheng et al. https://doi.org/10.1002/met.2140
268. Neglecting uncertainties biases house-elevation decisions to manage riverine flood risks M. Zarekarizi et al. https://doi.org/10.1038/s41467-020-19188-9
269. The Economics of Hydro-Meteorological Disasters: Approaching the Estimation of the Total Costs S. Balbi et al. https://doi.org/10.2139/ssrn.2317437
270. A framework for global river flood risk assessments H. Winsemius et al. https://doi.org/10.5194/hess-17-1871-2013
271. A Geospatial Assessment of Flood Vulnerability Reduction by Freshwater Wetlands–A Benefit Indicators Approach J. Bousquin & K. Hychka https://doi.org/10.3389/fenvs.2019.00054
272. Discriminant factors of flood insurance demand for flood‐hit residential properties: a case for Malaysia G. Aliagha et al. https://doi.org/10.1111/jfr3.12065
273. Analysis of flood warning and evacuation efficiency by comparing damage and life-loss estimates with real consequences related to the São Francisco tailings dam failure in Brazil A. Silva & J. Eleutério https://doi.org/10.5194/nhess-23-3095-2023
274. Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling L. Carrera et al. https://doi.org/10.2139/ssrn.2637313
275. Efficient disaster damage prediction method using building point data and LSTM: a case of flood disaster Y. Kabeyama et al. https://doi.org/10.3389/fbuil.2025.1631964
276. Understanding the Operational Concept of a Flood-Resilient Urban Community in Jakarta, Indonesia, from the Perspectives of Disaster Risk Reduction, Climate Change Adaptation and Development Agencies F. Dwirahmadi et al. https://doi.org/10.3390/ijerph16203993
277. 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
278. Multi-criteria decision approach to identify flood vulnerability zones using geospatial technology in the Kemp-Welch Catchment, Central Province, Papua New Guinea H. Morea & S. Samanta https://doi.org/10.1007/s12518-020-00315-6
279. Improving Flood Damage Assessment Models in Italy M. Amadio et al. https://doi.org/10.2139/ssrn.2716010
280. An integrated framework for satellite-based flood mapping and socioeconomic risk analysis: A case of Thailand N. Prasertsoong & N. Puttanapong https://doi.org/10.1016/j.pdisas.2024.100393
281. Assessing sustainable development prospects through remote sensing: A review R. Avtar et al. https://doi.org/10.1016/j.rsase.2020.100402
282. Meta-analysis of Supply Chain Disruption Research L. Novoszel & T. Wakolbinger https://doi.org/10.1007/s43069-021-00118-4
283. Flood Risk Modelling Using the HFPA (Hierarchical Fuzzy Process Analysis) Method: Example of the City of Thies, Senegal S. Dieye et al. https://doi.org/10.4236/ijg.2024.1512056
284. Multi-variable flood damage modelling with limited data using supervised learning approaches D. Wagenaar et al. https://doi.org/10.5194/nhess-17-1683-2017
285. Civil engineering works versus self-protection measures for the mitigation of floods economic risk. A case study from a new classification criterion for cost-benefit analysis J. Garrote et al. https://doi.org/10.1016/j.ijdrr.2019.101157
286. Investigating the impacts of tributary meander restoration on main channel flood mitigation through computational modelling M. Wang et al. https://doi.org/10.1016/j.jenvman.2025.124127
287. Relationship between residential house damage and flood characteristics: A case study in the Teesta River Basin, Bangladesh S. Haque et al. https://doi.org/10.1016/j.ijdrr.2023.103901
288. Environmental Fate of Trace Elements in Depositional Sediments after Flashflood Events: The Case of Mandra Town in Greece P. Kourgia et al. https://doi.org/10.3390/su14042448
289. 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
290. Spatiotemporal Evolution Characteristics of 2022 Pakistan Severe Flood Event Based on Multi-Source Satellite Gravity Observations L. Cui et al. https://doi.org/10.3390/rs16091601
291. Flood insurance rate map for non-structural mitigation R. Roslan et al. https://doi.org/10.1051/e3sconf/20197603002
292. A longitudinal comparison of stormwater runoff mechanisms in growing and shrinking regions: Evaluating impervious composition and green infrastructure connectivity changes Z. Xu & W. Sohn https://doi.org/10.1016/j.uclim.2024.101875
293. System interactions of stormwater management using sustainable urban drainage systems and green infrastructure L. Hoang & R. Fenner https://doi.org/10.1080/1573062X.2015.1036083
294. Comparing Generic and Case Study Damage Functions: London Storm-Surge Example D. Rybski et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000336
295. Cost‐Benefit Analysis for Optimization of Risk Protection Under Budget Constraints O. Špačková & D. Straub https://doi.org/10.1111/risa.12310
296. Modelling Infiltration Systems’ Performance for Efficient, Sustainable or Circular Urban Water Drainage P. Piazza & N. Ursino https://doi.org/10.3390/w14172620
297. Evaluating the spatial application of multivariable flood damage models R. Paulik et al. https://doi.org/10.1111/jfr3.12934
298. Evaluating adaptation measures for reducing flood risk: A case study in the city of Colombo, Sri Lanka D. Wagenaar et al. https://doi.org/10.1016/j.ijdrr.2019.101162
299. The interplay between the urban development of Rome (Italy) and the Tiber River floods: A review of two millennia of socio-hydrological history E. Ridolfi et al. https://doi.org/10.1007/s13280-024-02078-5
300. Optimal adaptation to uncertain climate change G. Guthrie https://doi.org/10.1016/j.jedc.2023.104621
301. Developing science-informed maps and climate service for extreme rainfall in Spain S. Vicente-Serrano et al. https://doi.org/10.1007/s11069-025-07731-0
302. Integrated assessment of the impacts of climate and land-use changes on future flooding and effective adaptation in the Gin River Basin, Sri Lanka J. Jayapadma et al. https://doi.org/10.1016/j.ejrh.2024.101919
303. Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model A. Nirwansyah & B. Braun https://doi.org/10.3390/ijgi8100451
304. 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
305. Comparative flood damage model assessment: towards a European approach B. Jongman et al. https://doi.org/10.5194/nhess-12-3733-2012
306. Bayesian network based probabilistic approach for uncertainty analysis of earthquake induced landslides T. Das & D. Choudhury https://doi.org/10.1016/j.sandf.2025.101620
307. Nature-based solutions as urban adaptation to climate risk: Framework for economic evaluation as decision support tool S. Sahay https://doi.org/10.1016/j.scs.2024.106037
308. Comment on ‘High-income does not protect against hurricane losses’ D. Rybski et al. https://doi.org/10.1088/1748-9326/aa88d8
309. Integrating Ground and UAV Mapping for GIS-Based Application of the Flash Flood Impact Severity Scale (FFISS) for the 2009 and 2020 Evia (Greece) Flash Floods N. Spyrou et al. https://doi.org/10.3390/app15031100
310. Simulating the future flood events and their impacts on critical infrastructure in Srinagar: a Himalayan urban centre N. Ali et al. https://doi.org/10.1007/s11069-025-07129-y
311. A new multidimensional framework for risk assessment in multi-hazard context: the Hazards-Impacts matrix D. Molinari et al. https://doi.org/10.1016/j.ijdrr.2026.106131
312. Resilience in the built environment: How to evaluate the impacts of flood resilient building technologies? S. Golz et al. https://doi.org/10.1051/e3sconf/20160713001
313. Indirect Impact Assessment of Pluvial Flooding in Urban Areas Using a Graph-Based Approach: The Mexico City Case Study M. Arosio et al. https://doi.org/10.3390/w12061753
314. 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
315. Coastal Flooding Risk Assessment Using a GIS-Based Spatial Multi-Criteria Decision Analysis Approach V. Hadipour et al. https://doi.org/10.3390/w12092379
316. 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
317. Enhancing city resilience to climate change by means of ecosystem services improvement: a SWOT analysis for the city of Faro, Portugal E. Berte & T. Panagopoulos https://doi.org/10.1080/19463138.2014.953536
318. A semi-quantitative multi-hazard risk assessment framework for European coastal urban areas R. Figueiredo et al. https://doi.org/10.1080/19475705.2024.2378994
319. River flood risk in Jakarta under scenarios of future change Y. Budiyono et al. https://doi.org/10.5194/nhess-16-757-2016
320. The Development of Flood Damage Functions for Public Buildings Using Damage Data and Field Surveys C. Lee et al. https://doi.org/10.9798/KOSHAM.2019.19.6.259
321. Tree‐based flood damage modeling of companies: Damage processes and model performance T. Sieg et al. https://doi.org/10.1002/2017WR020784
322. Wildfire economic impact assessment: an empirical model-based investigation for Greek agriculture D. Stougiannidou & E. Zafeiriou https://doi.org/10.1007/s40808-021-01306-1
323. 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
324. 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
325. Comparative Multi-Criteria Assessment of Hydrological Vulnerability—Case Study: Drainage Basins in the Northeast Region of Romania A. Albulescu et al. https://doi.org/10.3390/w14081302
326. Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. https://doi.org/10.1016/j.envsoft.2018.08.005
327. The Status and Prospects for Agriculture in the United Arab Emirates (UAE) and their Potential to Contribute to Food Security . Saif Al Qaydi https://doi.org/10.6000/1927-5129.2016.12.23
328. A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas R. Albano et al. https://doi.org/10.5194/nhess-14-2847-2014
329. Assessment of ecotourism suitability in Qilian mountain National park S. Huang et al. https://doi.org/10.1038/s41598-025-03400-1
330. Perception and Communication of Flood Risks: A Systematic Review of Empirical Research W. Kellens et al. https://doi.org/10.1111/j.1539-6924.2012.01844.x
331. 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
332. Probabilistic depth–damage curves for assessment of flood-induced building losses H. McGrath et al. https://doi.org/10.1007/s11069-019-03622-3
333. Predicting Flash Flood Economic Damage at the Community Scale: Empirical Zero-Inflated Model with Semicontinuous Data S. Chang et al. https://doi.org/10.1061/NHREFO.NHENG-1729
334. Regional flood risk analysis for agricultural crops: Insights from the implementation of AGRIDE-c in central Italy A. Scorzini et al. https://doi.org/10.1016/j.ijdrr.2020.101999
335. Study of Flood Loss Estimation using Hazus-MH 2.1 . 유순영 & . 안현욱 https://doi.org/10.21480/tjrm.24.1.201306.002
336. Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania R. Albano et al. https://doi.org/10.3390/w12061834
337. 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
338. Types of Behavior of Flood Victims around Floodwaters. Correlation with Situational and Demographic Factors M. Diakakis https://doi.org/10.3390/su12114409
339. Enhancing local action planning through quantitative flood risk analysis: a case study in Spain J. Castillo-Rodríguez et al. https://doi.org/10.5194/nhess-16-1699-2016
340. Predicting flood insurance claims with hydrologic and socioeconomic demographics via machine learning: Exploring the roles of topography, minority populations, and political dissimilarity J. Knighton et al. https://doi.org/10.1016/j.jenvman.2020.111051
341. Social vulnerability correlates of flood risk to crops and buildings S. Asl et al. https://doi.org/10.1007/s11069-025-07137-y
342. Development of a Web GIS-Based Flood Management System for the Architectural Heritage J. Jeon et al. https://doi.org/10.5659/JAIK_SC.2015.31.1.45
343. Simulating Flash Floods at Hourly Time-Step Using the SWAT Model L. Boithias et al. https://doi.org/10.3390/w9120929
344. A Novel Framework for Urban Flood damage Assessment F. Yavari et al. https://doi.org/10.1007/s11269-022-03122-3
345. Evaluation and projections of extreme precipitation using a spatial extremes framework L. Yang et al. https://doi.org/10.1002/joc.8038
346. Spatial Estimates of Flood Damage and Risk Are Influenced by the Underpinning DEM Resolution: A Case Study in Kuala Lumpur, Malaysia E. Fatdillah et al. https://doi.org/10.3390/w14142208
347. 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
348. The impact of intense rainfall on insurance losses in two Swedish cities B. Blumenthal & L. Nyberg https://doi.org/10.1111/jfr3.12504
349. Jointly using the GLDAS 2.2 model and GRACE to study the severe Yangtze flooding of 2020 X. Yan et al. https://doi.org/10.1016/j.jhydrol.2022.127927
350. 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
351. Reducing personal climate risk to reduce personal climate anxiety J. Fyke & A. Weaver https://doi.org/10.1038/s41558-023-01617-4
352. Quantifying erosion hazards and economic damage to critical infrastructure in river catchments: Impact of a warming climate X. Li et al. https://doi.org/10.1016/j.crm.2021.100287
353. Quantifying the fragility of coral reefs to hurricane impacts: a case study of the Florida Keys and Puerto Rico I. Madden et al. https://doi.org/10.1088/1748-9326/acb451
354. Forecasting flood risk in the Indus River system using hydrological parameters and its damage assessment B. Khan & M. Iqbal https://doi.org/10.1007/s12517-012-0665-8
355. Risk modelling as a tool to support natural hazard risk management in New Zealand local government M. Crawford et al. https://doi.org/10.1016/j.ijdrr.2018.01.011
356. Assessing the spatiotemporal socioeconomic flood vulnerability of agricultural communities in the Potomac River Watershed T. Tanir et al. https://doi.org/10.1007/s11069-021-04677-x
357. Probabilistic Flood Loss Models for Companies L. Schoppa et al. https://doi.org/10.1029/2020WR027649
358. Modeling the Impact of Building-Level Flood Mitigation Measures Made Possible by Early Flood Warnings on Community-Level Flood Loss Reduction O. Nofal et al. https://doi.org/10.3390/buildings11100475
359. Managing residual flood risk: Lessons learned from experiences in Taiwan H. Wang et al. https://doi.org/10.1016/j.pdisas.2024.100337
360. Valuing Ecosystem Services for Coastal Wetland Protection and Restoration: Progress and Challenges E. Barbier https://doi.org/10.3390/resources2030213
361. Hydraulic flood routing in an ephemeral channel: Wadi Mekerra, Algeria M. Atallah et al. https://doi.org/10.1007/s40808-016-0237-0
362. Flood Hazard Assessment Mapping in Burned and Urban Areas H. Skilodimou et al. https://doi.org/10.3390/su13084455
363. How do changes along the risk chain affect flood risk? A. Metin et al. https://doi.org/10.5194/nhess-18-3089-2018
364. Estimating the uninsured losses due to extreme weather events and implications for informal sector vulnerability: a case study of Mumbai, India A. Patankar & A. Patwardhan https://doi.org/10.1007/s11069-015-1968-3
365. Assessment of drought damages and their uncertainties in Europe G. Naumann et al. https://doi.org/10.1088/1748-9326/10/12/124013
366. Comparative hazard analysis of processes leading to remarkable flash floods (France, 1930–1999) M. Boudou et al. https://doi.org/10.1016/j.jhydrol.2016.05.032
367. Multidimensional assessment of social vulnerability to natural hazards in Türkiye using different methods M. Yükseler & G. Tenikler https://doi.org/10.1016/j.scs.2025.106749
368. 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
369. A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study K. Schneeberger et al. https://doi.org/10.1111/risa.12863
370. A methodological approach for mapping and analysing cascading effects of flooding events B. Arvidsson et al. https://doi.org/10.1080/15715124.2022.2079655
371. Reviewing Deep Learning Methods in the Applied Problems of Economic Monitoring Based on Geospatial Data M. Lavreniuk et al. https://doi.org/10.1007/s10559-023-00535-9
372. Flood Risk Assessment of Bihar State in India Utilizing a Combination of Multi-criteria Analysis (MCA) and Analytical Hierarchy Process (AHP) Using Geospatial Techniques S. Sharma et al. https://doi.org/10.1007/s12524-024-02041-7
373. A supranational machine learning approach to assess wildfire losses under climate change in Southeastern Europe B. Asif et al. https://doi.org/10.1007/s44274-026-00584-9
374. 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
375. A scenario-based analysis of wetlands as nature-based solutions for flood risk mitigation using the TELEMAC-2D model K. Enu et al. https://doi.org/10.1016/j.nbsj.2025.100236
376. Impacts of climate change on future flood damage on the river Meuse, with a distributed uncertainty analysis S. Detrembleur et al. https://doi.org/10.1007/s11069-015-1661-6
377. Assessing flood risk at the global scale: model setup, results, and sensitivity P. Ward et al. https://doi.org/10.1088/1748-9326/8/4/044019
378. The monetary benefit of early flood warnings in Europe F. Pappenberger et al. https://doi.org/10.1016/j.envsci.2015.04.016
379. The value of integrating information from multiple hazards for flood risk analysis and management J. Castillo-Rodríguez et al. https://doi.org/10.5194/nhess-14-379-2014
380. How natural foreshores offer flood protection during dike breaches: An explorative flume study K. van den Hoven et al. https://doi.org/10.1016/j.ecss.2023.108560
381. Hydrogeological and Climatological Risks Perception in a Multi-Hazard Environment: The Case of Greece K. Papagiannaki et al. https://doi.org/10.3390/w11091770
382. 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
383. THE POSITION OF TOURIST INFRASTRUCTURE IN FLOODED URBAN AREAS – CASE STUDY: BIHAĆ, BOSNIA AND HERZEGOVINA M. OSMANOVIĆ & E. HRELJA https://doi.org/10.59277/RRG.2025.1.10
384. Developing Flood Vulnerability Functions through Questionnaire Survey for Flood Risk Assessments in the Meghna Basin, Bangladesh I. Khairul et al. https://doi.org/10.3390/w14030369
385. Persistent impact of spring floods on crop loss in U.S. Midwest M. Shirzaei et al. https://doi.org/10.1016/j.wace.2021.100392
386. Comparative Evaluation of Depth-Damage Estimation Approaches Using High-Resolution Building Inventory Data and Hydraulic Model Outputs . Itohaosa Isibor et al. https://doi.org/10.32628/IJSRCE26104
387. A review of the current status of flood modelling for urban flood risk management in the developing countries U. Nkwunonwo et al. https://doi.org/10.1016/j.sciaf.2020.e00269
388. Evaluation of Hydrological and Hydraulic Models Applied in Typical Mediterranean Ungauged Watersheds Using Post-Flash-Flood Measurements A. Kastridis & D. Stathis https://doi.org/10.3390/hydrology7010012
389. Modelling flood losses of micro-businesses in Ho Chi Minh City, Vietnam A. Buch et al. https://doi.org/10.5194/nhess-25-2437-2025
390. Can the Quality of the Potential Flood Risk Maps be Evaluated? A Case Study of the Social Risks of Floods in Central Spain J. Garrote et al. https://doi.org/10.3390/w11061284
391. Flood Vulnerability Study of Pangkalpinang City, Bangka Belitung Archipelago Province . Guskarnali et al. https://doi.org/10.1088/1755-1315/926/1/012076
392. Flood Exposure of Residential Areas and Infrastructure in Greece S. Stefanidis et al. https://doi.org/10.3390/hydrology9080145
393. Estimation of river flood damages in Jakarta, Indonesia P. Wijayanti et al. https://doi.org/10.1007/s11069-016-2730-1
394. A New Tool to Estimate Inundation Depths by Spatial Interpolation (RAPIDE): Design, Application and Impact on Quantitative Assessment of Flood Damages A. Scorzini et al. https://doi.org/10.3390/w10121805
395. Two Sides, One Flow: Rethinking Urban Stormwater Infrastructure Performance with Stakeholder Perceptions T. Dodanwala et al. https://doi.org/10.1061/JWRMD5.WRENG-6933
396. Post-flood land use damage estimation using improved Normalized Difference Flood Index (NDFI3) on Landsat 8 datasets: December 2014 floods, Kelantan, Malaysia K. Wan & L. Billa https://doi.org/10.1007/s12517-018-3775-0
397. Process‐Based Flood Risk Assessment for Germany N. Sairam et al. https://doi.org/10.1029/2021EF002259
398. Chronic and Acute Coastal Flood Risks to Assets and Communities in Southeast Florida M. Ghanbari et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001245
399. Economic assessment of flood damage T. Miroshnikova et al. https://doi.org/10.1051/e3sconf/202124410055
400. Flood Risk Assessments: Applications and Uncertainties A. Díez-Herrero & J. Garrote https://doi.org/10.3390/w12082096
401. Estimating exposure of residential assets to natural hazards in Europe using open data D. Paprotny et al. https://doi.org/10.5194/nhess-20-323-2020
402. Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch M. Zhran et al. https://doi.org/10.1186/s12302-024-01001-9
403. Mapping the danger to life in flash flood events adopting a mechanics based methodology and planning evacuation routes G. Musolino et al. https://doi.org/10.1111/jfr3.12627
404. Comparing cost‐effectiveness of surface water flood management interventions in a UK catchment J. Webber et al. https://doi.org/10.1111/jfr3.12523
405. A systemic method for evaluating the potential impacts of floods on network infrastructures J. Eleutério et al. https://doi.org/10.5194/nhess-13-983-2013
406. The prediction of flood damage in coastal urban areas G. Pariartha et al. https://doi.org/10.1088/1755-1315/419/1/012136
407. Flood risk assessment through large-scale modeling under uncertainty L. Pavesi et al. https://doi.org/10.5194/nhess-24-4507-2024
408. Prioritisation Recommendation Mapping (PrioReMap): A method for supporting relief coordination in flood disaster response M. Schneider et al. https://doi.org/10.1016/j.ijdrr.2025.105949
409. 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
410. Stratégies d’adaptation et réduction de la vulnérabilité G. Jouannic et al. https://doi.org/10.4000/eps.7011
411. Evaluating the capability of UAV-Derived DEMs for flood hazard analysis H. Ozdemir & A. Akbas https://doi.org/10.1080/02723646.2025.2467912
412. Spatial regression approach to estimate synthetic unit hydrograph by geomorphic characteristics of watersheds in arid regions L. Gunawardhana et al. https://doi.org/10.1007/s40333-020-0101-y
413. Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning C. Bowers et al. https://doi.org/10.1061/NHREFO.NHENG-1995
414. Flood Storage Allocation Rules for Parallel Reservoirs R. Hui & J. Lund https://doi.org/10.1061/(ASCE)WR.1943-5452.0000469
415. Accelerate disaster risk mapping using an automated zonal change detection model for loss estimation and recovery: a flood case study A. Amasha https://doi.org/10.1186/s43088-020-00082-8
416. Bayesian network learning for natural hazard analyses K. Vogel et al. https://doi.org/10.5194/nhess-14-2605-2014
417. Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. https://doi.org/10.1007/s11069-024-06756-1
418. Production and use of regional climate model projections – A Swedish perspective on building climate services E. Kjellström et al. https://doi.org/10.1016/j.cliser.2016.06.004
419. A Vulnerability‐Based, Bottom‐up Assessment of Future Riverine Flood Risk Using a Modified Peaks‐Over‐Threshold Approach and a Physically Based Hydrologic Model J. Knighton et al. https://doi.org/10.1002/2017WR021036
420. An integrated approach of ground and aerial observations in flash flood disaster investigations. The case of the 2017 Mandra flash flood in Greece M. Diakakis et al. https://doi.org/10.1016/j.ijdrr.2018.10.015
421. Using remarkability to define coastal flooding thresholds F. Moore & N. Obradovich https://doi.org/10.1038/s41467-019-13935-3
422. Data for critical infrastructure network modelling of natural hazard impacts: Needs and influence on model characteristics R. Schotten et al. https://doi.org/10.1016/j.rcns.2024.01.002
423. Evaluation of Flood Damages Using Principal Component Analysis M. Azotea et al. https://doi.org/10.9798/KOSHAM.2015.15.4.215
424. 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
425. Cost-benefit analysis of a detached breakwater for coastal protection: a case study in the Portuguese seaside R. Pombo et al. https://doi.org/10.1007/s11852-024-01060-3
426. Multi-variate residential flood loss estimation model for Jakarta: an approach based on a combination of statistical techniques R. Wahab & R. Tiong https://doi.org/10.1007/s11069-016-2716-z
427. Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area A. Caldas-Alvarez et al. https://doi.org/10.5194/nhess-22-3701-2022
428. A statistical comparison of flood-related economic damage in Indian states with reflections on policy implications S. Das et al. https://doi.org/10.1016/j.ijdrr.2022.102835
429. Structural, Locational and Environmental Attributes effects the Residential Property Value in Flood Risk Area S. Zulkarnain et al. https://doi.org/10.1088/1755-1315/479/1/012017
430. Hydrological regionalization of maximum stream flows using an approach based on L-moments F. Cassalho et al. https://doi.org/10.1590/2318-0331.021720160064
431. Integrating hydrogeological and economic analyses of groundwater flooding in an urban aquifer: the plain of Naples (Italy) as a case study V. Allocca et al. https://doi.org/10.1080/00207233.2023.2180197
432. Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany K. Küpfer et al. https://doi.org/10.5194/nhess-25-2885-2025
433. Are we safer than before from flooding? L. Hong & G. Huang https://doi.org/10.1002/rvr2.70028
434. Cost-benefit analysis of flood early warning system in the Karnali River Basin of Nepal R. Rai et al. https://doi.org/10.1016/j.ijdrr.2020.101534
435. Estimating changes in flood risks and benefits of non-structural adaptation strategies - a case study from Tyrol, Austria A. Thieken et al. https://doi.org/10.1007/s11027-014-9602-3
436. Flooding in mega-cities: using structural equation modeling to assess flood impact in Dhaka M. Fatemi et al. https://doi.org/10.1108/IJDRBE-08-2020-0094
437. Flood Exposure, Vulnerability, and Risk Distribution in Urban Areas: Application of Geospatial Data Analytics and Index Development B. Bidadian et al. https://doi.org/10.3390/geohazards5030042
438. Flood Damage Analysis Using Machine Learning Techniques . Snehil & R. Goel https://doi.org/10.1016/j.procs.2020.06.011
439. Flood risk assessments at different spatial scales H. de Moel et al. https://doi.org/10.1007/s11027-015-9654-z
440. Willingness-to-pay for hazard safety – A case study on the valuation of flood risk reduction in Germany H. Entorf & A. Jensen https://doi.org/10.1016/j.ssci.2020.104657
441. Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA) S. Samanta et al. https://doi.org/10.3390/hydrology3030029
442. A high resolution input–output model to assess the economic impact of floods J. Di Noia et al. https://doi.org/10.1016/j.jebo.2025.106896
443. A combined risk analysis approach for complex dam–levee systems J. Castillo-Rodríguez et al. https://doi.org/10.1080/15732479.2017.1314514
444. A Critical Review of Flood Risk Management and the Selection of Suitable Measures M. Tariq et al. https://doi.org/10.3390/app10238752
445. Estimating network related risks: A methodology and an application in the transport sector J. Hackl et al. https://doi.org/10.5194/nhess-18-2273-2018
446. Economic Risk Evaluation in Urban Flooding and Instability-Prone Areas: The Case Study of San Giovanni Rotondo (Southern Italy) R. Pellicani et al. https://doi.org/10.3390/geosciences8040112
447. Building level flood exposure analysis using a hydrodynamic model R. Bertsch et al. https://doi.org/10.1016/j.envsoft.2022.105490
448. 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
449. Participatory flood vulnerability assessment: a multi-criteria approach M. de Brito et al. https://doi.org/10.5194/hess-22-373-2018
450. Improvements and Operational Application of a Zero-Order Quick Assessment Model for Flood Damage: A Case Study in Italy L. Manselli et al. https://doi.org/10.3390/w14030373
451. Flood shocks, heterogeneous risk exposure, and housing market dynamics in China Y. Zhao et al. https://doi.org/10.1016/j.jdeveco.2025.103581
452. Compounding effects of urbanization, climate change and sea-level rise on monetary projections of flood damage I. Pariartha et al. https://doi.org/10.1016/j.jhydrol.2023.129535
453. Changes in Tsunami Risk to Residential Buildings at Omaha Beach, New Zealand R. Paulik et al. https://doi.org/10.3390/geosciences9030113
454. Exploring a spatial statistical approach to quantify flood risk perception using cognitive maps E. O’Neill et al. https://doi.org/10.1007/s11069-014-1559-8
455. A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. https://doi.org/10.1007/s11069-020-04413-x
456. Stormwater and flood simulation of sponge city and LID mitigation benefit assessment C. Li et al. https://doi.org/10.1007/s11356-023-29586-3
457. Drivers of flood risk change in residential areas F. Elmer et al. https://doi.org/10.5194/nhess-12-1641-2012
458. 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
459. A Novel and Practically Applicable Simulation–Optimization Framework for River Cross-Section Modification: Integrating the HEC-RAS Simulation with the Grasshopper Optimization Algorithm M. Malekpour et al. https://doi.org/10.1061/JHYEFF.HEENG-6567
460. Effects of levee cover strength on flood mapping in the case of levee breach due to overtopping M. Mazzoleni et al. https://doi.org/10.1080/02626667.2016.1246800
461. Sources of uncertainty in a probabilistic flood risk model B. Winter et al. https://doi.org/10.1007/s11069-017-3135-5
462. Approaches to the assessment of indirect economic damage from changes in the level of Lake Baikal A. MIKHEEVA et al. https://doi.org/10.24891/ea.22.6.1031
463. The safe development paradox: An agent-based model for flood risk under climate change in the European Union T. Haer et al. https://doi.org/10.1016/j.gloenvcha.2019.102009
464. A GIS-based procedure for preliminary mapping of pluvial flood risk at metropolitan scale C. Di Salvo et al. https://doi.org/10.1016/j.envsoft.2018.05.020
465. Quantification of flash flood economic risk using ultra-detailed stage–damage functions and 2-D hydraulic models J. Garrote et al. https://doi.org/10.1016/j.jhydrol.2016.02.006
466. Development of Flood Damage Estimation Model for Agriculture – Case Study in the Bago Floodplain, Myanmar S. Win et al. https://doi.org/10.20965/jdr.2020.p0242
467. 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
468. Agricultural production and flood control dry detention reservoirs: Example from Lower Savinja Valley, Slovenia M. Glavan et al. https://doi.org/10.1016/j.envsci.2020.09.012
469. 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
470. What if Dutch investors started worrying about flood risk? Implications for disaster risk reduction T. Husby et al. https://doi.org/10.1007/s10113-015-0769-2
471. Understanding Uncertainty in Probabilistic Floodplain Mapping in the Time of Climate Change Z. Zahmatkesh et al. https://doi.org/10.3390/w13091248
472. Assessing flood risk using analytical hierarchy process (AHP) and geographical information system (GIS): application in Coochbehar district of West Bengal, India S. Chakraborty & S. Mukhopadhyay https://doi.org/10.1007/s11069-019-03737-7
473. Vulnerability analysis of bridge superstructures under extreme fluid actions F. Greco et al. https://doi.org/10.1016/j.jfluidstructs.2019.102843
474. Assessment of Tangible Direct Flood Damage Using a Spatial Analysis Approach under the Effects of Climate Change: Case Study in an Urban Watershed in Hanoi, Vietnam M. Kefi et al. https://doi.org/10.3390/ijgi7010029
475. Quantifying damage contributions from convective and stratiform weather types: How well do precipitation and discharge data indicate the risk? K. Schroeer & M. Tye https://doi.org/10.1111/jfr3.12491
476. A Revised Approach to Flood Damage Estimation in Flood Risk Maps and Flood Risk Management Plans, Poland I. Godyń https://doi.org/10.3390/w13192713
477. River metrics by the public, for the public M. Weber et al. https://doi.org/10.1371/journal.pone.0214986
478. Assessing future impacts of tropical cyclones on global banana production S. Kaashoek et al. https://doi.org/10.5194/nhess-25-1963-2025
479. Assessment of flood event based on numerical models and legal statute: A case of Eşkinoz Stream in Istanbul, Turkey T. Cosgun et al. https://doi.org/10.1007/s12517-022-09882-x
480. Flood Mapping and Damage Assessment using Ensemble Model Approach V. Patil et al. https://doi.org/10.1007/s11220-024-00464-7
481. Development of model for the estimation of direct flood damage including the movable property K. Zabret et al. https://doi.org/10.1111/jfr3.12255
482. Business recovery of female-owned enterprises after urban floods: A propensity score matching analysis in the Bangkok metropolitan region S. Darnkachatarn & Y. Kajitani https://doi.org/10.1016/j.ijdrr.2026.106022
483. Tourism Industry’s Vulnerability upon Risk of Flooding: The Aquis Querquennis Complex N. Araújo Vila et al. https://doi.org/10.3390/environments6120122
484. Regional and Temporal Transferability of Multivariable Flood Damage Models D. Wagenaar et al. https://doi.org/10.1029/2017WR022233
485. Risk-Based Design of Dike Elevation Employing Alternative Enumeration M. Tariq et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000377
486. Establishment of flood damage function models: A case study in the Bago River Basin, Myanmar S. Win et al. https://doi.org/10.1016/j.ijdrr.2018.01.030
487. Flood susceptibility mapping using GIS and multi-criteria decision analysis: A case of Dodoma region, central Tanzania M. Msabi & M. Makonyo https://doi.org/10.1016/j.rsase.2020.100445
488. A Multi-Data Geospatial Approach for Understanding Flood Risk in the Coastal Plains of Tamil Nadu, India S. George et al. https://doi.org/10.3390/earth3010023
489. Property flood resilience (PFR): exploring the experiences of commercial property owners H. Xiao et al. https://doi.org/10.1108/IJBPA-08-2023-0122
490. The Geographic Information System‐based flood damage simulation model HOWAD M. Neubert et al. https://doi.org/10.1111/jfr3.12109
491. Visualized analysis of developing trends and hot topics in natural disaster research S. Shen et al. https://doi.org/10.1371/journal.pone.0191250
492. Preliminary Study on the Urban Flood Adaptive Capacity Index S. Song et al. https://doi.org/10.3390/app15169118
493. Flood Risk Modeling under Uncertainties: The Case Study of Croatia T. Kekez et al. https://doi.org/10.3390/w14101585
494. Effects of climate vulnerability on household sanitation access, functionality, and practices in rural Cambodia R. Abdel Sattar et al. https://doi.org/10.1007/s10668-024-04881-2
495. Flood inundation modelling: A review of methods, recent advances and uncertainty analysis J. Teng et al. https://doi.org/10.1016/j.envsoft.2017.01.006
496. Ice‐jam flood risk assessment and mapping K. Lindenschmidt et al. https://doi.org/10.1002/hyp.10853
497. Two Decades of Integrated Flood Management: Status, Barriers, and Strategies N. Grigg https://doi.org/10.3390/cli12050067
498. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. https://doi.org/10.5194/nhess-19-661-2019
499. Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas J. Englhardt et al. https://doi.org/10.5194/nhess-19-1703-2019
500. Towards understanding vulnerability: Investigating disruptions in cropping schedules in irrigated rice fields in West Java R. Sianturi & V. Jetten https://doi.org/10.1016/j.ijdrr.2018.03.007
501. Hydro-Morphometric Analysis for Flood Potential Assessment in Swarna Watershed, Karnataka, India: Implication on Coastal Water Conservation and Protection N. T. & B. N. https://doi.org/10.1007/s41101-024-00283-7
502. Soil loss estimation and empirical relationships for sediment delivery ratios of European river catchments A. Gericke https://doi.org/10.1080/15715124.2014.1003302
503. 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
504. Improving flood damage assessment models in Italy M. Amadio et al. https://doi.org/10.1007/s11069-016-2286-0
505. Augmenting a socio-hydrological flood risk model for companies with process-oriented loss estimation L. Schoppa et al. https://doi.org/10.1080/02626667.2022.2095207
506. Toward an adequate level of detail in flood risk assessments T. Sieg et al. https://doi.org/10.1111/jfr3.12889
507. Micro-sized enterprises: vulnerability to flash floods K. Karagiorgos et al. https://doi.org/10.1007/s11069-016-2476-9
508. Flood damage calculations via a RESTful API H. McGrath et al. https://doi.org/10.1016/j.ijdrr.2019.101071
509. A quantitative methodology for the assessment of the regional economic vulnerability to flash floods E. Aroca-Jiménez et al. https://doi.org/10.1016/j.jhydrol.2018.08.029
510. Developing more useful equity measurements for flood-risk management A. Pollack et al. https://doi.org/10.1038/s41893-024-01345-3
511. A physics-based framework for analyzing the resilience of interdependent civil infrastructure systems: A climatic extreme event case in Hong Kong Y. Yang et al. https://doi.org/10.1016/j.scs.2019.101485
512. On the use of synthetic tropical cyclones and hypothetical events for storm surge assessment under climate change P. Ruiz-Salcines et al. https://doi.org/10.1007/s11069-020-04318-9
513. Bounce Back or Breakdown? Assessing Territorial Vulnerability to Repeated Floods Across European NUTS-3 Regions M. D’Angeli & D. Di Marcoberardino https://doi.org/10.1007/s40797-026-00378-1
514. Marmara Bölgesi Sanayisinin Çoklu Afet Dirençliliğinin Teknik Gezi ve Görüşmeler ile Değerlendirilmesi D. DENİZ https://doi.org/10.35341/afet.1377594
515. Flood Risk Analysis and Assessment, Applications and Uncertainties: A Bibliometric Review A. Díez-Herrero & J. Garrote https://doi.org/10.3390/w12072050
516. Progress in Research on the Influences of Climatic Changes on the Industrial Economy in China L. Yuanzhe et al. https://doi.org/10.5814/j.issn.1674-764x.2020.01.001
517. A Review on Hazard Assessment Framework About Flood and Drought Risk Management Y. Kumar & V. Srinivasulu https://doi.org/10.1002/gj.5226
518. Damage functions for transport infrastructure N. Habermann & R. Hedel https://doi.org/10.1108/IJDRBE-09-2017-0052
519. Surrogate modeling for rapid estimation of spatially-resolved flood damage: Application to a coastal region S. Li et al. https://doi.org/10.1016/j.jhydrol.2025.134763
520. Bayesian Data-Driven approach enhances synthetic flood loss models N. Sairam et al. https://doi.org/10.1016/j.envsoft.2020.104798
521. Exploring awareness and application of disaster risk management cycle (DRMC) from stakeholder's perspective S. Ahmad Basri et al. https://doi.org/10.1108/IJDRBE-09-2020-0105
522. Coastal lagoons and rising sea level: A review A. Carrasco et al. https://doi.org/10.1016/j.earscirev.2015.11.007
523. Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector P. Brémond et al. https://doi.org/10.5194/nhess-22-3385-2022
524. Integrated Assessment of Economic Losses in Manufacturing Industry in Shanghai Metropolitan Area Under an Extreme Storm Flood Scenario W. Li et al. https://doi.org/10.3390/su11010126
525. Structural flood damage and the efficacy of property-level flood protection H. Chung & K. Adeyeye https://doi.org/10.1108/IJBPA-09-2017-0040
526. Methodology for Virtual Damage Assessment and First-Floor Elevation Estimation: Application to Fort Myers Beach, Florida and Hurricane Ian (2022) S. Figueira et al. https://doi.org/10.1061/NHREFO.NHENG-2310
527. Vulnerability Analysis of Structural Systems under Extreme Flood Events F. Greco & P. Lonetti https://doi.org/10.3390/jmse10081121
528. Socio-economic impacts of flooding: A review of the empirical literature M. Allaire https://doi.org/10.1016/j.wasec.2018.09.002
529. Preface: Flood-risk analysis and integrated management P. Bubeck et al. https://doi.org/10.5194/nhess-16-1005-2016
530. Impact of high-resolution settlement data on flood exposure: a comparative analysis of flood hazard and exposure in the Gin River Basin, Sri Lanka J. Jayapadma et al. https://doi.org/10.1080/19475705.2024.2435719
531. Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis O. Rahmati et al. https://doi.org/10.1080/19475705.2015.1045043
532. Including climate change projections in probabilistic flood risk assessment P. Ward et al. https://doi.org/10.1111/jfr3.12029
533. Improving flood risk analysis for effectively supporting the implementation of flood risk management plans: The case study of “Serio” Valley R. Albano et al. https://doi.org/10.1016/j.envsci.2017.05.017
534. The Land Acquisition of Inundated Land for The Toll Road Project of Semarang-Demak Sea Embankment G. Pamungkas https://doi.org/10.14710/ijpd.6.2.48-55
535. The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0 M. Di Bacco et al. https://doi.org/10.5194/nhess-24-1681-2024
536. Integrated approach to analyze the total flood risk for agriculture: The significance of intangible damages – A case study in Central Vietnam P. Nga et al. https://doi.org/10.1016/j.ijdrr.2018.08.001
537. 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
538. Low‐Probability Flood Risk Modeling for New York City J. Aerts et al. https://doi.org/10.1111/risa.12008
539. Uncovering spatiotemporal patterns of floods using multi-sensor optical and synthetic aperture radar imagery in the major agriculture zone of Sindh, Pakistan S. Hafeez et al. https://doi.org/10.1007/s11069-026-08057-1
540. Fragility Analysis Based on Damaged Bridges during the 2021 Flood in Germany A. Pucci et al. https://doi.org/10.3390/app131810454
541. Improved Methods for Predicting Property Prices in Hazard Prone Dynamic Markets K. de Koning et al. https://doi.org/10.1007/s10640-016-0076-5
542. Citizen scientists’ engagement in flood risk-related data collection: a case study in Bui River Basin, Vietnam H. Tran et al. https://doi.org/10.1007/s10661-024-12419-2
543. Customising flood damage functions to estimate the carbon footprint of flood‐related home repairs E. Matthews et al. https://doi.org/10.1111/jfr3.12708
544. Can a Calibration-Free Dynamic Rainfall‒Runoff Model Predict FDCs in Data-Scarce Regions? Comparing the IDW Model with the Dynamic Budyko Model in South India A. Nag & B. Biswal https://doi.org/10.3390/hydrology6020032
545. Assessment of flood damage behaviour in connection with large‐scale climate indices M. Ozger https://doi.org/10.1111/jfr3.12158
546. Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy R. Albano et al. https://doi.org/10.1016/j.jag.2018.06.019
547. Incorporating probabilistic approach into local multi-criteria decision analysis for flood susceptibility assessment Z. Tang et al. https://doi.org/10.1007/s00477-017-1431-y
548. The importance of indicator weights for vulnerability indices and implications for decision making in disaster management M. Papathoma-Köhle et al. https://doi.org/10.1016/j.ijdrr.2019.101103
549. Flood Risk Management in Flanders: Past Developments and Future Challenges W. Kellens et al. https://doi.org/10.1007/s11269-013-0366-4
550. Estimating built-up risk from multi-natural hazards: A case study of Northern coastal plains of Tamil Nadu R. Abarna et al. https://doi.org/10.1016/j.nhres.2023.01.001
551. How to improve attribution of changes in drought and flood impacts H. Kreibich et al. https://doi.org/10.1080/02626667.2018.1558367
552. 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
553. 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
554. Towards risk-based flood management in highly productive paddy rice cultivation – concept development and application to the Mekong Delta N. Triet et al. https://doi.org/10.5194/nhess-18-2859-2018
555. Improved Gridded Precipitation Data Derived from Microwave Link Attenuation M. Silver et al. https://doi.org/10.3390/rs13152953
556. Les risques liés au ruissellement, l'apport des données de sinistralité D. Moncoulon et al. https://doi.org/10.1051/lhb/2020058
557. 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
558. Flood risk assessment of cultural heritage at large spatial scales: Framework and application to mainland Portugal R. Figueiredo et al. https://doi.org/10.1016/j.culher.2019.11.007
559. A comparative flood damage and risk impact assessment of land use changes K. Gabriels et al. https://doi.org/10.5194/nhess-22-395-2022
560. Unsicherheiten bei der Quantifizierung von Hochwasser‐Schadenspotenzialen J. Schwarz et al. https://doi.org/10.1002/bate.201600011
561. 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
562. A Review of Flood Loss Models as Basis for Harmonization and Benchmarking T. Gerl et al. https://doi.org/10.1371/journal.pone.0159791
563. A Theoretical Framework to Assess the Impact of Flooding on Dairy Cattle Farms: Identification of Direct Damage from an Animal Welfare Perspective A. Gaviglio et al. https://doi.org/10.3390/ani11061586
564. Flood damage assessment in the Pampanga river basin of the Philippines B. Shrestha et al. https://doi.org/10.1111/jfr3.12174
565. Preparedness against mobility disruption by floods C. Arrighi et al. https://doi.org/10.1016/j.scitotenv.2018.11.191
566. A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. https://doi.org/10.1029/2019WR025943
567. Robust analysis and best practices in flood economic loss assessment using HEC-FIA and GO-Consequence software for climate-ready risk management T. Poulose & S. Kumar https://doi.org/10.1016/j.ijdrr.2024.104772
568. Bütüncül olmayan havza planlaması ve hatalı arazi kullanımının taşkın üzerindeki etkileri: Ürgüp (Nevşehir) örneği E. Elbaşı https://doi.org/10.17211/tcd.1800621
569. Uncertainty compliant design flood estimation A. Botto et al. https://doi.org/10.1002/2013WR014981
570. Flood frequencies and durations and their response to El Niño Southern Oscillation: Global analysis P. Ward et al. https://doi.org/10.1016/j.jhydrol.2016.05.045
571. Toward participatory decision-making in river corridor management: two case studies from the European Alps B. Mazzorana et al. https://doi.org/10.1080/09640568.2017.1339593
572. Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling L. Carrera et al. https://doi.org/10.2139/ssrn.2505925
573. Environmental Inequalities in Flood Exposure: A Matter of Scale C. Poussard et al. https://doi.org/10.3389/frwa.2021.633046
574. Econometric modelling for estimating direct flood damage to firms: a micro-scale approach using post-event records in Italy M. Ballocci et al. https://doi.org/10.5194/nhess-26-251-2026
575. Quantifying the added value of impact-based warnings for flash flood monitoring using innovative multi-source impact data J. Godet et al. https://doi.org/10.1016/j.ijdrr.2026.106058
576. Destructive Flooding Induced by Broken Embankments along Linbian Creek, Taiwan, during Typhoon Morakot T. Hsu et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001069
577. 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
578. 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 https://doi.org/10.3390/land12112014
579. Economic impact upon agricultural production from extreme flood events in Quang Nam, central Vietnam V. Chau et al. https://doi.org/10.1007/s11069-014-1395-x
580. Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. https://doi.org/10.1029/2018WR022858
581. Flood risk to commercial property N. Bhattacharya-Mis et al. https://doi.org/10.1108/IJDRBE-03-2017-0024
582. Flood risk assessment and quantification at the community and property level in the State of Iowa E. Yildirim et al. https://doi.org/10.1016/j.ijdrr.2022.103106
583. Reservoir sedimentation and mitigation measures P. Stefanidis & S. Stefanidis https://doi.org/10.1111/j.1440-1770.2012.00507.x
584. Efficient dam break flood simulation methods for developing a preliminary evacuation plan after the Wenchuan Earthquake Y. Li et al. https://doi.org/10.5194/nhess-12-97-2012
585. Transparency on Underlying Values is Needed for Useful Equity Measurements A. Pollack et al. https://doi.org/10.2139/ssrn.4568088
586. Urban Flood Hazard Zonation in Bengaluru Urban District, India G. Dwarakish et al. https://doi.org/10.2478/jlecol-2024-0006
587. Flood hazard in a semi‐closed basin in northern Ethiopia: Impact and resilience B. Demissie et al. https://doi.org/10.1002/geo2.100
588. 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
589. Assessment of Temperature and Precipitation Forecasts of the WRF Model in the Bahía de Banderas Region (Mexico) A. Velázquez-Ruiz et al. https://doi.org/10.3390/atmos13081220
590. Implementing the European “Floods Directive”: the Case of the Po River Basin D. Molinari et al. https://doi.org/10.1007/s11269-016-1248-3
591. On return period and probability of failure in hydrology E. Volpi https://doi.org/10.1002/wat2.1340
592. Establishing flood damage functions for agricultural crops using estimated inundation depth and flood disaster statistics in data-scarce regions N. Nguyen et al. https://doi.org/10.3178/hrl.11.12
593. Waterlogging induced loss and damage assessment of urban households in the monsoon period: a case study of Dhaka, Bangladesh A. Nithila et al. https://doi.org/10.1007/s11069-021-05003-1
594. Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River B. Monteleone et al. https://doi.org/10.3390/w15111980
595. Integrated Flood Impact and Vulnerability Assessment Using a Multi-Sensor Earth Observation Mission with the Perspective of an Operational Service in Lombardy, Italy M. Righini et al. https://doi.org/10.3390/land13020140
596. Integrated Assessment of Natural Hazards and Climate Change Adaptation: I - The KULTURisk Methodological Framework C. Giupponi et al. https://doi.org/10.2139/ssrn.2233310
597. Hydrological Modelling using HEC-HMS for Flood Risk Assessment of Segamat Town, Malaysia N. Romali et al. https://doi.org/10.1088/1757-899X/318/1/012029
598. Multi-scale spatial sensitivity analysis of a model for economic appraisal of flood risk management policies N. Saint-Geours et al. https://doi.org/10.1016/j.envsoft.2014.06.012
599. Hydrologic-hydraulic modelling in the Vezza catchment (Alpi Apuane, Italy): An area prone to flash floods and debris flows M. Amaddii et al. https://doi.org/10.1051/e3sconf/202341505001
600. A GIS-based technique for estimation of economic losses from riverine flood in the lower Indus basin J. Sarwar et al. https://doi.org/10.1007/s11069-025-07876-y
601. Global mapping of potential coastal compound flood risk at 0.1∘ resolution J. Zhang & M. Convertino https://doi.org/10.1038/s43247-025-03155-7
602. Pluvial flood adaptation using nature-based solutions: An integrated biophysical-economic assessment C. Quagliolo et al. https://doi.org/10.1016/j.scitotenv.2023.166202
603. An integrated approach of flood risk assessment in the eastern part of Dhaka City A. Gain et al. https://doi.org/10.1007/s11069-015-1911-7
604. Development of damage functions for flood risk assessment in the city of Colombo (Sri Lanka) P. Dias et al. https://doi.org/10.1016/j.proeng.2018.01.043
605. Impact of storm Xynthia in 2010 on coastal agricultural areas: the Saint Laurent de la Prée research farm’s experience D. Durant et al. https://doi.org/10.1007/s11852-018-0627-8
606. An Assessment of the Effectiveness of Tree-Based Models for Multi-Variate Flood Damage Assessment in Australia R. Hasanzadeh Nafari et al. https://doi.org/10.3390/w8070282
607. Metodología para la evaluación de daños a vehículos expuestos a inundaciones en zonas urbanas E. Martínez Gomariz et al. https://doi.org/10.4995/ia.2017.8772
608. Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds M. Pakdehi et al. https://doi.org/10.5194/nhess-24-3537-2024
609. Flood Loss Models and Risk Analysis for Private Households in Can Tho City, Vietnam D. Chinh et al. https://doi.org/10.3390/w9050313
610. Flash Flood Risk Assessment and Driving Factors: A Case Study of the Yantanxi River Basin, Southeastern China L. Chen et al. https://doi.org/10.1007/s13753-022-00408-3
611. Flooding and mobility: a polish analysis S. Wiśniewski et al. https://doi.org/10.1080/17477891.2020.1810608
612. A robust stochastic approach in correcting the TRMM precipitation product and simulating flood features S. Asadollah et al. https://doi.org/10.1007/s10661-022-10030-x
613. A review of multiple natural hazards and risks in Germany H. Kreibich et al. https://doi.org/10.1007/s11069-014-1265-6
614. 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
615. A Coherent Statistical Model for Coastal Flood Frequency Analysis Under Nonstationary Sea Level Conditions M. Ghanbari et al. https://doi.org/10.1029/2018EF001089
616. Flood risk perception in flood-affected communities in Lagos, Nigeria I. Adelekan & A. Asiyanbi https://doi.org/10.1007/s11069-015-1977-2
617. 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
618. Simplification of one-dimensional hydraulic networks by automated processes evaluated on 1D/2D deterministic flood models S. Davidsen et al. https://doi.org/10.2166/hydro.2017.152
619. Aggregating flood damage functions: The peril of Jensen's gap S. Bryant et al. https://doi.org/10.1111/jfr3.13053
620. 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
621. Flood risk‐benefit assessment to support management of flood‐prone lands A. Juarez‐Lucas et al. https://doi.org/10.1111/jfr3.12476
622. Probabilistic El Niño effect on flood damages assessment F. Hooshyaripor https://doi.org/10.1002/joc.7494
623. Flood risk assessment in art cities: the exemplary case of Florence (Italy) C. Arrighi et al. https://doi.org/10.1111/jfr3.12226
624. Taşkın Modelleme Yöntemlerinin Gözden Geçirilmesi ve Karşılaştırılması V. DEMİR et al. https://doi.org/10.31590/ejosat.1010220
625. Back to the future: assessing the damage of 2004 Dhaka flood in the 2050 urban environment D. Khan et al. https://doi.org/10.1111/jfr3.12220
626. Integrating Household Risk Mitigation Behavior in Flood Risk Analysis: An Agent‐Based Model Approach T. Haer et al. https://doi.org/10.1111/risa.12740
627. Projected Changes in Precipitation Extremes Over Jiulongjiang River Basin in Coastal Southeast China C. Li et al. https://doi.org/10.3389/feart.2021.771592
628. Flood Hazard: A QGIS Plugin for Assessing Flood Consequences S. Verma et al. https://doi.org/10.14796/JWMM.C529
629. Urban flood impact assessment: A state-of-the-art review M. Hammond et al. https://doi.org/10.1080/1573062X.2013.857421
630. Adaptability and transferability of flood loss functions in residential areas H. Cammerer et al. https://doi.org/10.5194/nhess-13-3063-2013
631. Comparing Methods of Calculating Expected Annual Damage in Urban Pluvial Flood Risk Assessments A. Olsen et al. https://doi.org/10.3390/w7010255
632. Flood risk and adaptation strategies under climate change and urban expansion: A probabilistic analysis using global data S. Muis et al. https://doi.org/10.1016/j.scitotenv.2015.08.068
633. A review of damage-reducing measures to manage fluvial flood risks in a changing climate H. Kreibich et al. https://doi.org/10.1007/s11027-014-9629-5
634. A rapid high-resolution multi-sensory urban flood mapping framework via DEM upscaling W. Tan et al. https://doi.org/10.1016/j.rse.2023.113956
635. An innovative micro-scale approach for vulnerability and flood risk assessment with the application to property-level protection adoptions B. Rehan https://doi.org/10.1007/s11069-018-3175-5
636. National-level resilience-informed risk scoring approach: Generalized socio-physical flood risk factor for buildings A. Ewis & O. Nofal https://doi.org/10.1016/j.ijdrr.2026.106193
637. On the modeling of significance for flood damage assessment D. Molinari et al. https://doi.org/10.1016/j.ijdrr.2014.10.009
638. Historical comparison of the damage caused by the propagation of a dam break wave in a pre-alpine valley R. Bonomelli et al. https://doi.org/10.1016/j.ejrh.2023.101467
639. Bayesian networks for assessment of disruption to school systems under combined hazards A. Vatteri et al. https://doi.org/10.1016/j.ijdrr.2022.102924
640. 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
641. Commuting behavior adaptation to flooding: An analysis of transit users’ choices in Metro Manila R. Abad et al. https://doi.org/10.1016/j.tbs.2019.10.001
642. Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: a case study of Fuzhou City, China J. Lian et al. https://doi.org/10.5194/hess-17-679-2013
643. Impact of the rob flood disaster in north pekalongan A. Riyatmoko et al. https://doi.org/10.1088/1755-1315/1089/1/012016
644. A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability T. Lazzarin et al. https://doi.org/10.1016/j.jhydrol.2022.128687
645. 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
646. GIS-Based Assessment of Fire Effects on Flash Flood Hazard: The Case of the Summer 2021 Forest Fires in Greece N. Evelpidou et al. https://doi.org/10.3390/geohazards4010001
647. 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
648. An Integrated Approach for the Simulation Modeling and Risk Assessment of Coastal Flooding Y. Zheng & H. Sun https://doi.org/10.3390/w12082076
649. Flood impacts on urban road connectivity in southern China R. Zhou et al. https://doi.org/10.1038/s41598-022-20882-5
650. Calculation and visualization of flood inundation based on a topographic triangle network S. Zhang et al. https://doi.org/10.1016/j.jhydrol.2013.11.060
651. Comparative analyses of flood damage models in three Asian countries: towards a regional flood risk modelling A. Komolafe et al. https://doi.org/10.1007/s10669-018-9716-3
652. Strategies for coping and adapting to flooding and their determinants: A comparative study of cases from Namibia and Zambia M. Mabuku et al. https://doi.org/10.1016/j.pce.2018.12.009
653. An innovative technique for modelling impacts of coastal storm damage M. Hartt https://doi.org/10.1080/21681376.2014.962595
654. Nature-based solutions for hydro-meteorological risk reduction: a state-of-the-art review of the research area L. Ruangpan et al. https://doi.org/10.5194/nhess-20-243-2020
655. Flood Risk Reduction from Agricultural Best Management Practices F. Antolini et al. https://doi.org/10.1111/1752-1688.12812
656. Invited perspectives: When research meets practice: challenges, opportunities, and suggestions from the implementation of the Floods Directive in the largest Italian river basin T. Simonelli et al. https://doi.org/10.5194/nhess-22-1819-2022
657. Effects of Climate Shocks on the Dynamism of Agricultural Production in Burkina Faso D. Akouwerabou et al. https://doi.org/10.1002/agr.22010
658. 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
659. Comprehensive Assessment and Obstacle Factor Recognition of Waterlogging Disaster Resilience in the Historic Urban Area F. Cao et al. https://doi.org/10.3390/ijgi14060208
660. Low cost, multiscale and multi-sensor application for flooded area mapping D. Giordan et al. https://doi.org/10.5194/nhess-18-1493-2018
661. Hydrodynamic parameters of floods and related bank erosion events indicated from tree rings and 2D hydrodynamic model for a small ungauged catchment (Sudeten Mts., Poland) I. Malik et al. https://doi.org/10.1016/j.ecolind.2021.108021
662. A Duration-Dependent Flood Depth-Damage Function Calibrated Using FEMA NFIP Claims from Three U.S. Hurricanes I. Novikov et al. https://doi.org/10.1016/j.nhres.2026.05.003
663. Unravelling the power of neural networks for flood prediction across complex hydrological systems M. Saberian et al. https://doi.org/10.1144/gh2025-4
664. A conceptual model for the estimation of flood damage to power grids P. Asaridis & D. Molinari https://doi.org/10.5194/adgeo-61-1-2023
665. Life Loss Estimation Based on Dam-Break Flood Uncertainties and Lack of Information in Mountainous Regions of Western China C. Wang et al. https://doi.org/10.1007/s12209-017-0056-z
666. Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. https://doi.org/10.1111/jfr3.12832
667. Rainfall occurrence and its relation to flood damage in China from 2000 to 2015 L. Wei et al. https://doi.org/10.1007/s11629-018-4931-4
668. Unraveling the interplay of human decisions and flood risk: An agent-based modeling approach M. Moradzadeh & M. Ahmadi https://doi.org/10.1016/j.ijdrr.2024.104486
669. Future Flood Risk Exacerbated by the Dynamic Impacts of Sea Level Rise Along the Northern Gulf of Mexico M. Bilskie et al. https://doi.org/10.1029/2021EF002414
670. Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties H. Lv et al. https://doi.org/10.1029/2021WR031552
671. Extreme Flood Disasters: Comprehensive Impact and Assessment Q. Yu et al. https://doi.org/10.3390/w14081211
672. A GIS-Based Index of Physical Susceptibility to Flooding as a Tool for Flood Risk Management F. Miranda et al. https://doi.org/10.3390/land12071408
673. 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
674. DAMAGE RESULTING FROM FLOODS INUNDATION WITH ACTIVE SEDIMENT TRANSPORTATION AND THEIR ASSESSMENTS IN THE FLOODPLAIN OF WEST RAPTI RIVER, NEPAL N. SUBEDI et al. https://doi.org/10.2208/journalofjsce.24-16103
675. Estimating the Economic Losses Value Caused by Flood Disaster in Sampang Regency Using Tangible Damage Assessment C. Prihantini https://doi.org/10.1088/1755-1315/469/1/012091
676. Probabilistic earthquake and flood loss assessment in the Middle East J. Dabbeek et al. https://doi.org/10.1016/j.ijdrr.2020.101662
677. Integrating human behaviour dynamics into flood disaster risk assessment J. Aerts et al. https://doi.org/10.1038/s41558-018-0085-1
678. Hydro-meteorological risk assessment methods and management by nature-based solutions J. Sahani et al. https://doi.org/10.1016/j.scitotenv.2019.133936
679. Quantitative flood hazard assessment methods: A review A. Maranzoni et al. https://doi.org/10.1111/jfr3.12855
680. A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis R. Harris et al. https://doi.org/10.1016/j.crm.2022.100410
681. Spatial and Temporal Dynamics of Chemical and Microbial Contamination in Nonurban Floodwaters M. Saaristo et al. https://doi.org/10.1021/acs.est.4c03875
682. Instances for the problem of pre-positioning emergency supplies R. Turkeš & K. Sörensen https://doi.org/10.1108/JHLSCM-02-2018-0016
683. Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region Z. Li et al. https://doi.org/10.1016/j.envsoft.2022.105450
684. Development of a risk‐based framework to integrate flood insurance M. Tariq et al. https://doi.org/10.1111/jfr3.12056
685. Multi-scenario flash flood hazard assessment based on rainfall–runoff modeling and flood inundation modeling: a case study Y. Zhang et al. https://doi.org/10.1007/s11069-020-04345-6
686. Assessing the degree of tidal flood damage to salt harvesting landscape using synthetic approach and GIS - Case study: Cirebon, West Java A. Nirwansyah & B. Braun https://doi.org/10.1016/j.ijdrr.2021.102099
687. Is-it worth investing in NBS aiming at reducing water risks? Insights from the economic assessment of three European case studies P. Le Coent et al. https://doi.org/10.1016/j.nbsj.2021.100002
688. Flood Impacts on Dairy Farms in the Bay of Plenty Region, New Zealand R. Paulik et al. https://doi.org/10.3390/cli9020030
689. Land Cover and Socioeconomic Analysis for Recommended Flood Risk Reduction Strategies in Java Island, Indonesia A. Sigit & M. Harada https://doi.org/10.3390/su16156475
690. Quantifying the effect of autonomous adaptation to global river flood projections: application to future flood risk assessments Y. Kinoshita et al. https://doi.org/10.1088/1748-9326/aa9401
691. Increased high flows in Germany under 1.5 K, 2.0 K and 3.0 K warming based on a large regional climate model ensemble A. Chandrasekar et al. https://doi.org/10.1007/s10584-026-04165-w
692. Seamless Estimation of Hydrometeorological Risk Across Spatial Scales T. Sieg et al. https://doi.org/10.1029/2018EF001122
693. Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios J. Boulange et al. https://doi.org/10.1007/s11069-023-06017-7
694. INSYDE-content: a synthetic, multi-variable flood damage model for household contents P. Acharya et al. https://doi.org/10.5194/nhess-25-4317-2025
695. 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
696. US tropical cyclone flood risk: Storm surge versus freshwater G. Tonn & J. Czajkowski https://doi.org/10.1111/risa.13890
697. Refined impact assessment of rainfall-induced urban flood in a densely populated and built-up watershed J. Du et al. https://doi.org/10.1016/j.ejrh.2025.102927
698. Seaport climate change impact assessment using a multi-level methodology C. Izaguirre et al. https://doi.org/10.1080/03088839.2020.1725673
699. Enhancing Flood Resilience and Climate Adaptation: The State of the Art and New Directions for Spatial Planning M. Meng et al. https://doi.org/10.3390/su12197864
700. Calibration of stormwater management model using flood extent data B. Kim et al. https://doi.org/10.1680/wama.12.00051
701. Assessing the probability of large‐scale flood loss events: a case study for the river Rhine, Germany A. Thieken et al. https://doi.org/10.1111/jfr3.12091
702. A coupled high-resolution hydrodynamic and cellular automata-based evacuation route planning model for pedestrians in flooding scenarios B. Li et al. https://doi.org/10.1007/s11069-021-04960-x
703. Component-based flood vulnerability modelling for cultural heritage buildings R. Figueiredo et al. https://doi.org/10.1016/j.ijdrr.2021.102323
704. 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
705. 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
706. 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
707. Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. https://doi.org/10.1007/s11069-022-05791-0
708. Towards global mapping of dynamic surface water extents using Sentinel-1 SAR data J. Jung et al. https://doi.org/10.1016/j.rse.2026.115326
709. Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data W. Zhu et al. https://doi.org/10.1007/s11069-022-05605-3
710. An Integrated Flood Risk Assessment and Mitigation Framework: A Case Study for Middle Cedar River Basin, Iowa, US E. Yildirim & I. Demir https://doi.org/10.1016/j.ijdrr.2021.102113
711. Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. https://doi.org/10.1029/2022RG000788
712. Review of challenges of and practices for sustainable management of mountain flood hazards D. Tullos et al. https://doi.org/10.1007/s11069-016-2400-3
713. The use of insurance data in the analysis of Surface Water Flood events – A systematic review K. Gradeci et al. https://doi.org/10.1016/j.jhydrol.2018.10.060
714. A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness J. Eudaric et al. https://doi.org/10.1038/s41598-024-69977-1
715. Quantitative assessment of flood risk with evaluation of the effectiveness of dam operation for flood control: A case of the Bago River Basin of Myanmar B. Shrestha & A. Kawasaki https://doi.org/10.1016/j.ijdrr.2020.101707
716. Flood damage assessment model of industrial sectors in a Megacity: Derivation from business survey data in the Bangkok Metropolitan Region S. Darnkachatarn & Y. Kajitani https://doi.org/10.1016/j.ijdrr.2025.105221
717. How are public compensation efforts implemented in multi-hazard events? Insights from the 2020 Gloria storm in Catalonia N. Pantaleoni Reluy et al. https://doi.org/10.5194/nhess-25-3483-2025
718. 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
719. 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
720. A methodology for flood susceptibility and vulnerability analysis in complex flood scenarios F. Dottori et al. https://doi.org/10.1111/jfr3.12234
721. TAŞKIN RİSKİNİN BELİRLENMESİNDE SOSYO-DEMOGROFİK VE SOSYO-EKONOMİK ÖZELLİKLERİN ÖNEMİ Ç. KAYA https://doi.org/10.35341/afet.417652
722. Flood Risk Prediction and Management by Integrating GIS and HEC-RAS 2D Hydraulic Modelling: A Case Study of Ungheni, Iasi County, Romania L. Crenganis et al. https://doi.org/10.3390/w17202959
723. Cumulative building exposure to extreme sea level flooding in coastal urban areas R. Paulik et al. https://doi.org/10.1016/j.ijdrr.2021.102612
724. Aggregation bias and its drivers in large‐scale flood loss estimation: A Massachusetts case study A. Pollack et al. https://doi.org/10.1111/jfr3.12851
725. Societal and environmental interconnections: future directions for flood inundation models Z. Li & S. Gorelick https://doi.org/10.1088/1748-9326/ae21f4
726. Flood loss modelling with FLF-IT: a new flood loss function for Italian residential structures R. Hasanzadeh Nafari et al. https://doi.org/10.5194/nhess-17-1047-2017
727. A method for assessing urban flood impacts by combining hydrodynamic models with entity semantic evolution P. Dang et al. https://doi.org/10.1080/17538947.2025.2515268
728. Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al. https://doi.org/10.5194/nhess-17-1659-2017
729. Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerability E. Azizi et al. https://doi.org/10.1080/19475705.2025.2551814
730. Bridging modelled and lived flood risk: A participatory GIS approach to community-based flood vulnerability mapping in North Bengal, India S. Mandal et al. https://doi.org/10.1016/j.gespch.2026.100017
731. Flood risk assessment of cultural heritage across countries and spatial scales E. Nobile et al. https://doi.org/10.1016/j.ijdrr.2025.105236
732. Development of a Flood Loss Estimation Tool within GIS software S. Yu et al. https://doi.org/10.15683/kosdi.2015.11.3.436
733. Bridge safety is not for granted – A novel approach to bridge management M. Pregnolato https://doi.org/10.1016/j.engstruct.2019.05.035
734. High-tide flooding disrupts local economic activity M. Hino et al. https://doi.org/10.1126/sciadv.aau2736
735. Global projections of river flood risk in a warmer world L. Alfieri et al. https://doi.org/10.1002/2016EF000485
736. An integrated regionalization framework for incorporating flood seasonality into agricultural flood risk assessments A. Scorzini et al. https://doi.org/10.1007/s00477-025-03137-3
737. Towards modelling flood protection investment as a coupled human and natural system P. O'Connell & G. O'Donnell https://doi.org/10.5194/hess-18-155-2014
738. 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
739. Flood impacts on a water distribution network C. Arrighi et al. https://doi.org/10.5194/nhess-17-2109-2017
740. A review on analysis of flood modelling using different numerical models K. Jodhani et al. https://doi.org/10.1016/j.matpr.2021.07.405
741. Changes in Agricultural Soil Quality and Production Capacity Associated with Severe Flood Events in the Sava River Basin V. Zupanc et al. https://doi.org/10.3390/land14112216
742. Large-scale, seasonal flood risk analysis for agricultural crops in Germany S. Klaus et al. https://doi.org/10.1007/s12665-016-6096-1
743. Flood impacts on individual well-being: insights from a post-event survey across differently exposed groups in Marche region, Italy S. Rrokaj et al. https://doi.org/10.1007/s11069-026-08045-5
744. Flood Hazard Zone Mapping of Kasari River Basin (Kolhapur, India), Using Remote Sensing and GIS Techniques J. Sapkale et al. https://doi.org/10.1007/s12524-022-01610-y
745. Flood Damage on Dairy Farms: A What-If Analysis to Assess Economic Losses A. Gaviglio et al. https://doi.org/10.3390/w14243984
746. Pathways to enhanced microscale coastal flood risk assessment amid changing climate A. Kaur et al. https://doi.org/10.1007/s11069-025-07476-w
747. Estimating insured residential losses from large flood scenarios on the Tone River, Japan – a data integration approach T. Okada et al. https://doi.org/10.5194/nhess-11-3373-2011
748. Review Article: A comparison of flood and earthquake vulnerability assessment indicators M. de Ruiter et al. https://doi.org/10.5194/nhess-17-1231-2017
749. A novel clay shrink-swell buildings damage model: From unstructured insurance data to the creation of buildings database, and the proposition of damage severity scale N. Mzungu et al. https://doi.org/10.1016/j.ijdrr.2025.105636
750. The Felbertauern landslide of 2013 in Austria: Impact on transport networks, regional economy and policy decisions C. Pfurtscheller & E. Genovese https://doi.org/10.1016/j.cstp.2019.05.003
751. Analysis of flood damage and influencing factors in urban catchments: case studies in Manila, Philippines, and Jakarta, Indonesia M. Kefi et al. https://doi.org/10.1007/s11069-020-04281-5
752. How are flood risk estimates affected by the choice of return-periods? P. Ward et al. https://doi.org/10.5194/nhess-11-3181-2011
753. FLOOD-DEPTH-ML: Machine learning-driven python application for estimation of urban flood depths through submerged vehicles detection M. Mishra & R. Albano https://doi.org/10.1016/j.rineng.2026.109495
754. Quantifying Uncertainty in Food Security Modeling S. Shoaib et al. https://doi.org/10.3390/agriculture11010033
755. HEC-RAS Tabanlı 2 Boyutlu Taşkın Tehlike Çalışması: Bahadınlı ve Karadere (Burhaniye – Balıkesir) M. Durak & İ. Cürebal https://doi.org/10.46453/jader.1777585
756. Valuing the Economic Impact of River Floods and Early Flood Warning for Households in Bangladesh S. Zayed et al. https://doi.org/10.1007/s41885-024-00156-2
757. Evaluating the comprehensive flood impact assessment on the head reach of the Chiniot dam project S. Yousaf et al. https://doi.org/10.1016/j.teadva.2024.200107
758. Hydroeconomic Analysis to Guide Climate Adaptation Plans F. Ward https://doi.org/10.3389/frwa.2021.681475
759. A Study on Development of Flood Damage Estimation Function for River Infra Structure with NDMS and WAMIS S. Kim et al. https://doi.org/10.9798/KOSHAM.2016.16.4.81
760. Methodology to Assess Potential Flood Damages in Urban Areas under the Influence of Climate Change A. Komolafe et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000278
761. Valuing the contribution of green roofs to pluvial flood risk mitigation: A cost-benefit analysis C. Quagliolo et al. https://doi.org/10.1016/j.cities.2025.106405
762. Flood economic vulnerability and risk assessment at the urban mesoscale based on land use: A case study in Changsha, China M. Yang et al. https://doi.org/10.1016/j.jenvman.2023.119798
763. Livestock vulnerability to flooding T. Lazzarin & A. Defina https://doi.org/10.1016/j.jhydrol.2024.132613
764. Assessment of Flood Losses with Household Responses: Agent-Based Simulation in an Urban Catchment Area L. Yang et al. https://doi.org/10.1007/s10666-018-9597-3
765. A model taxonomy for flood fragility and vulnerability assessment of buildings C. Galasso et al. https://doi.org/10.1016/j.ijdrr.2020.101985
766. The June 2013 flood in the Upper Danube Basin, and comparisons with the 2002, 1954 and 1899 floods G. Blöschl et al. https://doi.org/10.5194/hess-17-5197-2013
767. Exploring spatial relationships between stream channel features, water depths and flow velocities during flash floods using HEC-GeoRAS and Geographic Information Systems M. Leal et al. https://doi.org/10.1007/s11442-022-1971-z
768. New insights into flood warning reception and emergency response by affected parties H. Kreibich et al. https://doi.org/10.5194/nhess-17-2075-2017
769. The progression of flood risk in southern Alberta since the 2013 flood S. Bryant et al. https://doi.org/10.1111/jfr3.12811
770. Investigating Uncertainty in Developing Regional Building Inventories for Flood Damage Prediction J. Gutenson et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000240
771. Modeling of inland flood vulnerability zones through remote sensing and GIS techniques in the highland region of Papua New Guinea P. Harley & S. Samanta https://doi.org/10.1007/s12518-018-0220-8
772. Flood assessment after Cempaka Cyclone 2019 in Imogiri District, Bantul Regency of Yogyakarta, Indonesia L. Odm et al. https://doi.org/10.1088/1755-1315/1071/1/012008
773. Risk reduction partnerships in railway transport infrastructure in an alpine environment A. Otto et al. https://doi.org/10.1016/j.ijdrr.2018.10.025
774. Probabilistic Models Significantly Reduce Uncertainty in Hurricane Harvey Pluvial Flood Loss Estimates V. Rözer et al. https://doi.org/10.1029/2018EF001074
775. 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
776. Damage assessment in Braunsbach 2016: data collection and analysis for an improved understanding of damaging processes during flash floods J. Laudan et al. https://doi.org/10.5194/nhess-17-2163-2017
777. Assessment of microscale economic flood losses in urban and agricultural areas: case study of the Santa Bárbara River, Ecuador J. Pinos et al. https://doi.org/10.1007/s11069-020-04084-8
778. Enhancing Risk Analysis toward a Landscape Digital Twin Framework: A Multi-Hazard Approach in the Context of a Socio-Economic Perspective F. Ugliotti et al. https://doi.org/10.3390/su151612429
779. GIS-based multi-criteria analytical hierarchy process modelling for urban flood vulnerability analysis, Accra Metropolis R. Nkonu et al. https://doi.org/10.1007/s11069-023-05915-0
780. Implementation and adaptation of a macro-scale method to assess and monitor direct economic losses caused by natural hazards S. Natho & A. Thieken https://doi.org/10.1016/j.ijdrr.2018.03.008
781. Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach A. Beltrán et al. https://doi.org/10.1111/risa.13136
782. Advanced Geospatial Analysis and Frequency Ratio Modelling for Flood Hazard Zonation in the Nagavali Basin, India R. Maarouf et al. https://doi.org/10.31127/tuje.1819040
783. Evaluation of economic loss of urban road flooding: A case of Kathmandu Metropolitan City S. Chauhan et al. https://doi.org/10.1016/j.envc.2023.100773
784. Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning R. Imhoff et al. https://doi.org/10.1029/2021WR031591
785. Optimal life-cycle adaptation of coastal infrastructure under climate change A. Bhattacharya et al. https://doi.org/10.1038/s41467-024-55679-9
786. Un modello spaziale di valutazione economica del rischio alluvioni S. Mattia et al. https://doi.org/10.3280/TR2016-079018
787. Historical development and future outlook of the flood damage potential of residential areas in the Alpine Lech Valley (Austria) between 1971 and 2030 H. Cammerer & A. Thieken https://doi.org/10.1007/s10113-013-0407-9
788. Flood Damage Assessment: A Review of Microscale Methodologies for Residential Buildings O. Aribisala et al. https://doi.org/10.3390/su142113817
789. Application of Spatial Model for Potential Flood Hazard Susceptibility at Trumon Area, South Aceh Regency of Indonesia E. Meilianda et al. https://doi.org/10.1051/e3sconf/202344701017
790. Socio–Economic Analysis of Riverine Flooding on Low-Income Dwellings: Adayar River, a Case Study S. Saravanan et al. https://doi.org/10.2478/ceer-2020-0024
791. Enhancing sediment flux control and natural hazard risk mitigation through a structured conceptual planning approach S. Simoni et al. https://doi.org/10.1016/j.geomorph.2017.01.026
792. Invited perspectives: How machine learning will change flood risk and impact assessment D. Wagenaar et al. https://doi.org/10.5194/nhess-20-1149-2020
793. Integrating optimization and damage estimation to increase economic benefit and ensure food security under seasonal land variability G. Talukdar et al. https://doi.org/10.1016/j.jenvman.2022.115872
794. Damaging flood severity assessment in Northern Portugal over more than 150 years (1865–2016) M. Santos et al. https://doi.org/10.1007/s11069-017-3166-y
795. Resilience in practice: Five principles to enable societies to cope with extreme weather events K. de Bruijn et al. https://doi.org/10.1016/j.envsci.2017.02.001
796. Flood susceptibility mapping using geospatial techniques: a study of the Kashmir Basin in the Northwest Himalaya R. Qalab et al. https://doi.org/10.1007/s11069-025-07143-0
797. Collaborative Strategies for Sustainable EU Flood Risk Management: FOSS and Geospatial Tools—Challenges and Opportunities for Operative Risk Analysis R. Albano et al. https://doi.org/10.3390/ijgi4042704
798. Improving flood damage estimation by integrating property elevation data M. Esparza et al. https://doi.org/10.1016/j.ijdrr.2025.105251
799. Rapid domain adaptation for disaster impact assessment: Remote sensing of building damage after the 2021 Germany floods V. Hertel et al. https://doi.org/10.1016/j.srs.2025.100287
800. Determinants of Household-Level Coping Strategies and Recoveries from Riverine Flood Disasters: Empirical Evidence from the Right Bank of Teesta River, Bangladesh M. Mondal et al. https://doi.org/10.3390/cli9010004
801. Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran M. Akbari et al. https://doi.org/10.1007/s11069-023-05925-y
802. A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data V. Nguyen et al. https://doi.org/10.3390/rs12091373
803. 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
804. Nonstationarity in peaks‐over‐threshold river flows: A regional random effects model E. Eastoe https://doi.org/10.1002/env.2560
805. Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed E. Ahmadisharaf et al. https://doi.org/10.3390/su9101735
806. Understanding the organizing scales of winter flood hydroclimatology and the associated drivers over the coterminous United States J. Hwang et al. https://doi.org/10.1016/j.hydroa.2025.100200
807. Comprehensive assessment of flood risk and community impact of concentrated animal feeding operations in Iowa U. Satilmis et al. https://doi.org/10.1088/1748-9326/ae3095
808. Multi-Hazard Susceptibility Mapping Using Machine Learning Approaches: A Case Study of South Korea C. Kim et al. https://doi.org/10.3390/rs17101660
809. Optimal investment and location decisions of a firm in a flood risk area using impulse control theory J. Grames et al. https://doi.org/10.1007/s10100-018-0532-0
810. Satellite nighttime lights reveal increasing human exposure to floods worldwide S. Ceola et al. https://doi.org/10.1002/2014GL061859
811. Probabilistic, Multivariable Flood Loss Modeling on the Mesoscale with BT‐FLEMO H. Kreibich et al. https://doi.org/10.1111/risa.12650
812. Rapid Damage Assessment of Rice Crop After Large-Scale Flood in the Cambodian Floodplain Using Temporal Spatial Data Y. Kwak et al. https://doi.org/10.1109/JSTARS.2015.2440439
813. Compound Continental Risk of Multiple Extreme Floods in the United States N. Najibi et al. https://doi.org/10.1029/2023GL105297
814. Analysis of Flood Risk in Ulsan Metropolitan City, South Korea, Considering Urban Development and Changes in Weather Factors C. Kwak et al. https://doi.org/10.3390/w17192800
815. Comparing post-event and pre-event damage assessment: Information gaps and lessons learnt G. Minucci et al. https://doi.org/10.1051/e3sconf/20160705011
816. A GIS-Based Model for Flood Shelter Locations and Pedestrian Evacuation Scenarios in a Rural Mountain Catchment in Romania O. Chelariu et al. https://doi.org/10.3390/w14193074
817. An adaptation of a macroscale methodology to assess the direct economic losses caused by Tropical Cyclone Idai in Zimbabwe E. Mavhura & K. Aryal https://doi.org/10.4102/jamba.v14i1.1276
818. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. https://doi.org/10.5194/nhess-21-643-2021
819. Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling M. Bermúdez & A. Zischg https://doi.org/10.1007/s11069-018-3270-7
820. Estimating the benefits of single value and probability forecasting for flood warning J. Verkade & M. Werner https://doi.org/10.5194/hess-15-3751-2011
821. An Empirical, Functional approach to Depth Damages W. Lehman et al. https://doi.org/10.1051/e3sconf/20160705002
822. GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia S. Ali et al. https://doi.org/10.1016/j.ecolind.2020.106620
823. Benefits of flood-prone land use and the role of coping capacity, Candaba floodplains, Philippines A. Juarez-Lucas et al. https://doi.org/10.1007/s11069-016-2551-2
824. Flood vulnerability and risk assessment of urban traditional buildings in a heritage district of Kuala Lumpur, Malaysia D. D'Ayala et al. https://doi.org/10.5194/nhess-20-2221-2020
825. Flood damage assessment in urban areas. Application to the Raval district of Barcelona using synthetic depth damage curves M. Velasco et al. https://doi.org/10.1080/1573062X.2014.994005
826. Flood vulnerability assessment of buildings using geospatial data and machine learning classifiers T. Tam et al. https://doi.org/10.1007/s11600-024-01527-9
827. A monetary quantification method for comprehensive flood consequences comprising economic losses, loss of life, human injuries, and environmental damage Y. Zhang et al. https://doi.org/10.1016/j.jclepro.2025.146990
828. Socioeconomic Impact Evaluation for Near Real-Time Flood Detection in the Lower Mekong River Basin P. Oddo et al. https://doi.org/10.3390/hydrology5020023
829. Probabilistic Flood Loss Assessment at the Community Scale: Case Study of 2016 Flooding in Lumberton, North Carolina O. Nofal & J. van de Lindt https://doi.org/10.1061/AJRUA6.0001060
830. Losses from Fluvial Floods in Poland over the 21st Century – Estimation Using the Productivity Costs Method J. Gaska https://doi.org/10.1007/s41885-023-00124-2
831. Disruption and adaptation of urban transport networks from flooding M. Pregnolato et al. https://doi.org/10.1051/e3sconf/20160707006
832. Flood Protection Cost Allocation Using Cooperative Game Theory for Adapting Infrastructure to Climate Change H. Jeong et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000920
833. The socioeconomic impact of climate-related hazards: flash flood impact assessment in Kuala Lumpur, Malaysia T. Bhuiyan et al. https://doi.org/10.1007/s11069-021-04887-3
834. Werewolves and warning signs: Cultural responses to tropical cyclones in Mauritius R. Walshe et al. https://doi.org/10.1016/j.geoforum.2022.05.011
835. Validation of flood risk models: Current practice and possible improvements D. Molinari et al. https://doi.org/10.1016/j.ijdrr.2018.10.022
836. Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification T. Sieg et al. https://doi.org/10.1371/journal.pone.0212932
837. Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events X. Su et al. https://doi.org/10.3390/rs13193924
838. The Total Cost of Hydrological Disasters S. Balbi https://doi.org/10.2139/ssrn.2075996
839. A Zero-Order Flood Damage Model for Regional-Scale Quick Assessments A. Pogliani et al. https://doi.org/10.3390/w13091292
840. Potential impacts of storm surge-induced flooding based on refined exposure estimation: a case study in Zhoushan island, China B. Chen et al. https://doi.org/10.1080/19475705.2023.2232080
841. Evaluation of Green and Grey Flood Mitigation Measures in Rural Watersheds R. Pudar et al. https://doi.org/10.3390/app10196913
842. Enhancing resilience: Understanding the impact of flood hazard and vulnerability on business interruption and losses T. Endendijk et al. https://doi.org/10.1016/j.wre.2024.100244
843. Flood risk assessment and its application in the eastern part of Dhaka City, Bangladesh A. Gain & M. Hoque https://doi.org/10.1111/jfr3.12003
844. 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
845. Flash floods versus river floods – a comparison of psychological impacts and implications for precautionary behaviour J. Laudan et al. https://doi.org/10.5194/nhess-20-999-2020
846. Assessing Disaster Impact in Real Time: Data-Driven System Integrating Humans, Hazards, and the Built Environment H. Hao & Y. Wang https://doi.org/10.1061/(ASCE)CP.1943-5487.0000970
847. Estimating the Socioeconomic Impacts of Flooding on Regional Economies With a Computable General Equilibrium Model O. Parent et al. https://doi.org/10.1029/2022WR033474
848. A systematic assessment of the effects of extreme flash floods on transportation infrastructure and circulation: The example of the 2017 Mandra flood M. Diakakis et al. https://doi.org/10.1016/j.ijdrr.2020.101542
849. Gridded flood depth estimates from satellite-derived inundations S. Bryant et al. https://doi.org/10.5194/nhess-22-1437-2022
850. Evaluation of Various Resolution DEMs in Flood Risk Assessment and Practical Rules for Flood Mapping in Data-Scarce Geospatial Areas: A Case Study in Thessaly, Greece N. Xafoulis et al. https://doi.org/10.3390/hydrology10040091
851. 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
852. Assessment of flood damage severity, economic growth dynamics and relief fund allocation in the districts of Bihar: A non-parametric approach K. Kumari et al. https://doi.org/10.1016/j.ijdrr.2024.105047
853. Adaptive Short-Term Flood Defense Deployment Planning M. Ni & T. Erfani https://doi.org/10.1061/(ASCE)WR.1943-5452.0001551
854. A comparison of building value models for flood risk analysis V. Röthlisberger et al. https://doi.org/10.5194/nhess-18-2431-2018
855. Riverine flood risk assessment with a combined model chain in southeastern China L. Wang et al. https://doi.org/10.1016/j.ecolind.2023.110686
856. Scenario-based community flood risk assessment: a case study of Taining county town, Fujian province, China W. Li et al. https://doi.org/10.1007/s11069-016-2187-2
857. Strategic Capabilities for Enhancing the Flood Resilience of Business Premises: An Expert Review and Lessons from Case Studies O. Adeniyi et al. https://doi.org/10.3390/su14169814
858. Predictability of state-level flood damage in the conterminous United States: the role of hazard, exposure and vulnerability Q. Zhou et al. https://doi.org/10.1038/s41598-017-05773-4
859. Comparison of three flood-related relocation programs with probabilistic cost-benefit analyses M. Boudreault et al. https://doi.org/10.1016/j.ijdrr.2023.103950
860. Rapid high-resolution impact-based flood early warning is possible with RIM2D: a showcase for the 2023 pluvial flood in Braunschweig S. Khosh Bin Ghomash et al. https://doi.org/10.5194/nhess-25-1737-2025
861. An Analysis of Major Issues in the Inventory System for Counting Damage on Buildings and Facilities due to Heavy Rains and Typhoons and a Proposal for its Improvement Y. Joo et al. https://doi.org/10.17208/jkpa.2017.06.52.3.237
862. Effectiveness of a Dam-Breach Flood Alert in Mitigating Life Losses: A Spatiotemporal Sectorisation Analysis in a High-Density Urban Area in Brazil A. Silva & J. Eleutério https://doi.org/10.3390/w15193433
863. Perception of Ecosystem Services Provided by the Primary Sector in Floodplains: A Study of Sardinia B. Arru et al. https://doi.org/10.3390/su17030857
864. Assessment of the effectiveness of flood adaptation strategies for HCMC R. Lasage et al. https://doi.org/10.5194/nhess-14-1441-2014
865. 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
866. Changes in Streamflow Statistics and Catchment Land Uses Across Select USGS Gages in Northwest and West‐central Arkansas T. McMullen et al. https://doi.org/10.1111/j.1936-704X.2024.3400.x
867. INSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium) A. Scorzini et al. https://doi.org/10.5194/nhess-22-1743-2022
868. Information Extraction From Remote Sensing Images for Flood Monitoring and Damage Evaluation S. Serpico et al. https://doi.org/10.1109/JPROC.2012.2198030
869. Assessing the Suitability of the Flood Defense Policy of Republic of Korea for Risk Reduction in Local Rivers K. Jung et al. https://doi.org/10.3390/w15223908
870. Benefits of economic assessment of cyclone early warning systems - A case study on Cyclone Evan in Samoa B. Fakhruddin & L. Schick https://doi.org/10.1016/j.pdisas.2019.100034
871. Emerging strategies for addressing flood-damage modeling issues: A review S. Redondo-Tilano et al. https://doi.org/10.1016/j.ijdrr.2024.105058
872. Economic impacts of floods in China and adaptation strategies under climate change Y. Xue et al. https://doi.org/10.1088/1748-9326/ad9c99
873. An urban waterlogging footprint accounting based on emergy: A case study of Beijing K. Liu et al. https://doi.org/10.1016/j.apenergy.2023.121527
874. Flood damage curves: new insights from the 2010 flood in Veneto, Italy A. Scorzini & E. Frank https://doi.org/10.1111/jfr3.12163
875. A multi‐scale framework for flood risk analysis at spatially distributed locations L. Speight et al. https://doi.org/10.1111/jfr3.12175
876. Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling M. Panahi et al. https://doi.org/10.1016/j.ejrh.2025.102285
877. Regional Index Insurance Using Satellite‐Based Fractional Flooded Area B. Tellman et al. https://doi.org/10.1029/2021EF002418
878. A Similarity-Based Fuzzy Framework for Flood Damage Assessment Under Data-Scarce Conditions T. Vranić et al. https://doi.org/10.3390/math14050760
879. Flood Susceptibility and Risk Mapping of Kathmandu Valley Watershed, Nepal U. Chaudhary et al. https://doi.org/10.3390/su16167101
880. Flood damage assessment on rice crop in the Stung Sen River Basin of Cambodia S. Chung et al. https://doi.org/10.1007/s10333-019-00718-1
881. 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
882. CERCA (Cascading Effects in Risk Consequences Assessment): An operational tool for geo-hydrological scenario risk assessment and cascading effects evaluation D. Biondi et al. https://doi.org/10.2166/nh.2023.088
883. Quantitative Flood Risk Assessment in Drammenselva River, Norway S. Hailemariam & K. Alfredsen https://doi.org/10.3390/w15050920
884. An agricultural flash flood loss estimation methodology: the case study of the Koiliaris basin (Greece), February 2003 flood A. Vozinaki et al. https://doi.org/10.1007/s11069-015-1882-8
885. How reliable are projections of future flood damage? P. Bubeck et al. https://doi.org/10.5194/nhess-11-3293-2011
886. Comparing Flood Damages to an Industrial Region in Turkey Using Several Methods P. Spor & E. Doğan https://doi.org/10.1142/S2382624X2350011X
887. 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
888. Key factors shaping post-disaster building damage assessment: insights from the Gaza Strip as a conflict zone S. El Ghoul et al. https://doi.org/10.1080/13467581.2025.2483992
889. A multi-step assessment framework for optimization of flood mitigation strategies in transportation networks N. Zhang & A. Alipour https://doi.org/10.1016/j.ijdrr.2021.102439
890. An introduction to flood modeling for catastrophe risk management S. Zanardo & J. Salinas https://doi.org/10.1002/wat2.1568
891. How useful are complex flood damage models? K. Schröter et al. https://doi.org/10.1002/2013WR014396
892. Floods and cause-specific mortality in the United States applying a triply robust approach L. Chu et al. https://doi.org/10.1038/s41467-025-58236-0
893. 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
894. 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
895. 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
896. From hazard to impact: flood damage assessment tools for mega cities A. Chen et al. https://doi.org/10.1007/s11069-016-2223-2
897. 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
898. Mapping the Social, Economic, and Ecological Impact of Floods in Brisbane Y. Hou et al. https://doi.org/10.3390/w15213842
899. 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
900. 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
901. 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
902. Loss levels regarding flood affected areas in the upper Citarum Watershed . Fernandos et al. https://doi.org/10.1088/1755-1315/561/1/012027
903. 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
904. Spatial Integration of Urban Runoff Modeling, Heat, and Social Vulnerability for Blue-Green Infrastructure Planning and Management N. Marks et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001593
905. Analysing the Effects of Flood-Resilience Technologies in Urban Areas Using a Synthetic Model Approach R. Schinke et al. https://doi.org/10.3390/ijgi5110202
906. 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
907. 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
908. 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
909. Risk perception in urban and rural areas Y. Calixte et al. https://doi.org/10.1177/02690942261446965
910. Cost–benefit analysis of flood mitigation measures: a case study employing high-performance hydraulic and damage modelling D. Molinari et al. https://doi.org/10.1007/s11069-021-04814-6
911. 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
912. 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
913. Improving flood impact estimations T. Sieg & A. Thieken https://doi.org/10.1088/1748-9326/ac6d6c
914. 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
915. Targeting property flood resilience in flood risk management J. Webber et al. https://doi.org/10.1111/jfr3.12723
916. Assessing climate change-driven social flood exposures and flood damage to residential areas in the Solo River basin of Indonesia B. Shrestha et al. https://doi.org/10.1007/s40808-025-02330-1
917. 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
918. Causes, impacts and patterns of disastrous river floods B. Merz et al. https://doi.org/10.1038/s43017-021-00195-3
919. On flood risk pooling in Europe F. Prettenthaler et al. https://doi.org/10.1007/s11069-016-2616-2
920. 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
921. Comparison of storm damage functions and their performance B. Prahl et al. https://doi.org/10.5194/nhess-15-769-2015
922. 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
923. Coupled flow accumulation and atmospheric blocking govern flood duration N. Najibi et al. https://doi.org/10.1038/s41612-019-0076-6
924. High urban flood risk and no shelter access disproportionally impacts vulnerable communities in the USA A. Ermagun et al. https://doi.org/10.1038/s43247-023-01165-x
925. 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
926. 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
927. 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
928. 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
929. Assessing the risk posed by natural hazards to infrastructures U. Eidsvig et al. https://doi.org/10.5194/nhess-17-481-2017
930. Spatiotemporal changes of manufacturing firms in the flood prone Yangtze Delta S. Jiao et al. https://doi.org/10.1080/17477891.2021.1988502
931. Assessment of pluvial flood exposure and vulnerability of residential areas T. Grahn & L. Nyberg https://doi.org/10.1016/j.ijdrr.2017.01.016
932. Critical infrastructure and flood resilience: Cascading effects beyond water A. Fekete https://doi.org/10.1002/wat2.1370
933. 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
934. Wildfire, water, and society: Toward integrative research in the “Anthropocene” A. Kinoshita et al. https://doi.org/10.1016/j.ancene.2016.09.001
935. 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
936. 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
937. 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
938. 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
939. 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
940. Increasing river floods: fiction or reality? G. Blöschl et al. https://doi.org/10.1002/wat2.1079
941. Declining vulnerability to river floods and the global benefits of adaptation B. Jongman et al. https://doi.org/10.1073/pnas.1414439112
942. 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
943. 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
944. 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
945. Uncertainty and Sensitivity Analysis of the HAZUS-MH Flood Model E. Tate et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000167
946. 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
947. Enhancing flood-exposure assessment with high-resolution settlement data: An integrated study from flood hazard to exposure in the Nilwala River Basin, Sri Lanka J. Jayapadma et al. https://doi.org/10.1016/j.ejrh.2025.102949
948. Testing the use of single- and multi-mission satellite altimetry for the calibration of hydraulic models A. Domeneghetti et al. https://doi.org/10.1016/j.advwatres.2021.103887
949. A Study on the Development of Loss Function for Local River Facilities S. Hwang et al. https://doi.org/10.9798/KOSHAM.2019.19.6.197
950. Sensitivity of avalanche risk to vulnerability relations P. Favier et al. https://doi.org/10.1016/j.coldregions.2014.08.009
951. Unveiling the Multi-Dimensional Vulnerabilities of Flood-Affected Communities in Khyber Pakhtunkhwa, Pakistan W. Ullah et al. https://doi.org/10.3390/w17020198
952. Simulation of flash flood peaks in a small and steep catchment using rain‐on‐grid technique N. Godara et al. https://doi.org/10.1111/jfr3.12898
953. Estimation of flood losses to agricultural crops using remote sensing F. Tapia-Silva et al. https://doi.org/10.1016/j.pce.2011.03.005
954. The application of analytical hierarchy process to assess adaptation strategies for flood and landslides risks: A case study of a multi-risk area community D. Caporale & A. Rinaldi https://doi.org/10.1016/j.envsci.2024.103959
955. The Use of Unmanned Aerial Vehicles to Estimate Direct Tangible Losses to Residential Properties from Flood Events: A Case Study of Cockermouth Following the Desmond Storm M. Rivas Casado et al. https://doi.org/10.3390/rs10101548
956. 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
957. 3D visualization of hurricane storm surge impact on urban infrastructure X. Ye et al. https://doi.org/10.1007/s44212-024-00043-x
958. Multi-risk assessment in a historical city C. Arrighi et al. https://doi.org/10.1007/s11069-021-05125-6
959. Comprehensive geospatial approaches to delineate near real-time (NRT) flood inundation and damage assessment of Tripura, India T. Jaman et al. https://doi.org/10.1016/j.ijdrr.2025.105547
960. Dependent Infrastructure Service Disruption Mapping (DISruptionMap): A method to assess cascading service disruptions in disaster scenarios M. Schneider et al. https://doi.org/10.1038/s41598-025-89469-0