346 citations as recorded by crossref.

1. A method for mapping flood hazard along roads Z. Kalantari et al. https://doi.org/10.1016/j.jenvman.2013.11.032
2. Mediterranean UNESCO World Heritage at risk from coastal flooding and erosion due to sea-level rise L. Reimann et al. https://doi.org/10.1038/s41467-018-06645-9
3. Flooding Urban Landscapes: Analysis Using Combined Hydrodynamic and Hydrologic Modeling Approaches M. Jha & S. Afreen https://doi.org/10.3390/w12071986
4. Exploring local risk managers' use of flood hazard maps for risk communication purposes in Baden-Württemberg S. Kjellgren https://doi.org/10.5194/nhess-13-1857-2013
5. Assessing storm surge risk under future sea-level rise scenarios: a case study in the North Adriatic coast J. Rizzi et al. https://doi.org/10.1007/s11852-017-0517-5
6. Sentinel-1-based flood mapping: a fully automated processing chain A. Twele et al. https://doi.org/10.1080/01431161.2016.1192304
7. Hydrological and flood hazard assessment using a coupled modelling approach for a mountainous catchment in Portugal A. Fonseca et al. https://doi.org/10.1007/s00477-018-1525-1
8. Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models W. Li et al. https://doi.org/10.1016/j.jhydrol.2019.03.002
9. 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
10. Towards an operationalisation of nature-based solutions for natural hazards P. Kumar et al. https://doi.org/10.1016/j.scitotenv.2020.138855
11. Flood risk assessment using deep learning integrated with multi-criteria decision analysis B. Pham et al. https://doi.org/10.1016/j.knosys.2021.106899
12. Metodologia para mapeamento de vulnerabilidade e risco de alagamento associado a eventos hidrológicos em ambiente urbano M. Alves Ferraz Pedrini et al. https://doi.org/10.36659/dae.2022.007
13. Flood Damage Risk Mapping Along the River Niger: Ten Benefits of a Participated Approach M. Tiepolo et al. https://doi.org/10.3390/cli13040080
14. Flood Monitoring and Mapping in the Ghatal Region of West Bengal, India T. Bhadra et al. https://doi.org/10.1088/1755-1315/1382/1/012002
15. River flood vulnerability in Norway through the pressure and release model T. Rauken & I. Kelman https://doi.org/10.1111/j.1753-318X.2010.01080.x
16. Flood hazard, Santa Cruz do Bispo Sector, Leça River, Portugal: a methodological contribution to improve land use planning P. Gonçalves et al. https://doi.org/10.1080/17445647.2014.974226
17. Coastal Flooding in the Solent: An Integrated Analysis of Defences and Inundation M. Wadey et al. https://doi.org/10.3390/w4020430
18. ORSADEM: A ONE‐DIMENSIONAL SHALLOW WATER CODE FOR FLOOD INUNDATION MODELLING G. Petaccia & E. Natale https://doi.org/10.1002/ird.1802
19. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery F. Bioresita et al. https://doi.org/10.3390/rs10020217
20. Modeling Flood Hazard Zones at the Sub-District Level with the Rational Model Integrated with GIS and Remote Sensing Approaches D. Asare-Kyei et al. https://doi.org/10.3390/w7073531
21. A new approach to flood susceptibility assessment in data-scarce and ungauged regions based on GIS-based hybrid multi criteria decision-making method Y. Kanani-Sadat et al. https://doi.org/10.1016/j.jhydrol.2019.02.034
22. Operational and emerging capabilities for surface water flood forecasting L. Speight et al. https://doi.org/10.1002/wat2.1517
23. Assessing flood hazard using flood marks and analytic hierarchy process approach: a case study for the 2013 flood event in Quang Nam, Vietnam C. Luu et al. https://doi.org/10.1007/s11069-017-3083-0
24. Toward an adequate level of detail in flood risk assessments T. Sieg et al. https://doi.org/10.1111/jfr3.12889
25. Catastrophic flood of August 2018, Kerala, India: Study of partitioning role of lineaments in modulating flood level using remote sensing data C. Vishnu et al. https://doi.org/10.1016/j.rsase.2020.100426
26. Potential and Limitations of Open Satellite Data for Flood Mapping D. Notti et al. https://doi.org/10.3390/rs10111673
27. How does your viewing perspective matter for decision-making with flood risk maps?* F. Kuster et al. https://doi.org/10.1080/15230406.2023.2268502
28. Flood risk policies in Italy: a longitudinal institutional analysis of continuity and change C. Vitale & S. Meijerink https://doi.org/10.1080/07900627.2021.1985972
29. Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt I. Elkhrachy et al. https://doi.org/10.1111/jfr3.12692
30. Flood Maps in the Czech Republic: Content, Perception and Information value K. Klemešová et al. https://doi.org/10.1051/e3sconf/20160710006
31. A Generalized Framework for Assessing Flood Risk and Suitable Strategies under Various Vulnerability and Adaptation Scenarios: A Case Study for Residents of Kyoto City in Japan B. Jhong et al. https://doi.org/10.3390/w12092508
32. 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
33. Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques A. Sajjad et al. https://doi.org/10.3390/rs12040714
34. Local perception of floods in the Czech Republic and recent changes in state flood management strategies J. Vávra et al. https://doi.org/10.1111/jfr3.12156
35. Transfer Learning with Convolutional Neural Networks for Rainfall Detection in Single Images N. Notarangelo et al. https://doi.org/10.3390/w13050588
36. Process of paleofloods in Guanting basin, Qinghai Province, China and possible relation to monsoon strength during the mid-Holocene M. Ma et al. https://doi.org/10.1016/j.quaint.2012.05.031
37. Assessing 3D and 2D hydrodynamic models for urban flood simulations: a district scale analysis with experimental street-level discharge, height and velocity G. Dellinger et al. https://doi.org/10.1080/1573062X.2025.2531460
38. Is local flood hazard assessment in urban areas significantly influenced by the physical complexity of the hydrodynamic inundation model? P. Costabile et al. https://doi.org/10.1016/j.jhydrol.2019.124231
39. Can sediments play a role in river flood risk mapping? Learning from selected European examples M. Nones & Y. Guo https://doi.org/10.1186/s40677-023-00250-9
40. Probabilistic Assessment of Flood Hazard due to Levee Breaches Using Fragility Functions M. D'Oria et al. https://doi.org/10.1029/2019WR025369
41. Overlooking probabilistic mapping renders urban flood risk management inequitable J. Bodoque et al. https://doi.org/10.1038/s43247-023-00940-0
42. Extreme Precipitation and Flood Hazard Assessment for Sustainable Climate Adaptation: A Case Study of Diyarbakır, Turkey B. Kaya & R. Çelik https://doi.org/10.3390/su17209339
43. 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
44. Raising risk preparedness by flood risk communication E. Maidl & M. Buchecker https://doi.org/10.5194/nhess-15-1577-2015
45. Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study H. Skilodimou et al. https://doi.org/10.1007/s12665-018-8003-4
46. Material damage caused by high-magnitude rainfall based on insurance data: Comparing two flooding events in the Lisbon Metropolitan Area and Madeira Island, Portugal M. Leal et al. https://doi.org/10.1016/j.ijdrr.2020.101806
47. Flood-Prone Area Assessment Using GIS-Based Multi-Criteria Analysis: A Case Study in Davao Oriental, Philippines J. Cabrera & H. Lee https://doi.org/10.3390/w11112203
48. A DEM-based approach for large-scale floodplain mapping in ungauged watersheds K. Jafarzadegan & V. Merwade https://doi.org/10.1016/j.jhydrol.2017.04.053
49. ESTIMATES OF THE NUMBER OF FATALITIES IN CASE OF LARGE-SCALE FLOODS WITH EFFECTIVENESS ANALYSIS OF THE MITIGATORY OPERATIONS K. IKEUCHI et al. https://doi.org/10.2208/jscejhe.69.I_1651
50. Recommendations for the user-specific enhancement of flood maps V. Meyer et al. https://doi.org/10.5194/nhess-12-1701-2012
51. Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey Ö. Ekmekcioğlu et al. https://doi.org/10.1016/j.ijdrr.2021.102327
52. Methodology for constructing a flood-hazard map for a future climate Y. Kimura et al. https://doi.org/10.5194/hess-27-1627-2023
53. Flood hazard maps in the European context M. Nones https://doi.org/10.1080/02508060.2016.1269282
54. AGRIDE-c, a conceptual model for the estimation of flood damage to crops: development and implementation D. Molinari et al. https://doi.org/10.5194/nhess-19-2565-2019
55. Continuous, large‐scale simulation model for flood risk assessments: proof‐of‐concept D. Falter et al. https://doi.org/10.1111/jfr3.12105
56. RESCUE: A geomorphology‐based, hydrologic‐hydraulic model for large‐scale inundation mapping L. Pavesi et al. https://doi.org/10.1111/jfr3.12841
57. “They’re the ones that sent me down a flooded road”: trust, distrust, and individuals’ flood mitigation decisions L. Briccetti et al. https://doi.org/10.1080/09640568.2025.2524444
58. Enhancing Risk Perception and Information Communication: An Evidence-Based Design of Flood Hazard Map Interfaces J. Guo et al. https://doi.org/10.3390/smartcities9010008
59. Managing natural disaster risks in a changing climate W. BOTZEN & J. VAN DEN BERGH https://doi.org/10.3763/ehaz.2009.0023
60. The failed-levee effect: Do societies learn from flood disasters? R. Collenteur et al. https://doi.org/10.1007/s11069-014-1496-6
61. Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile https://doi.org/10.3390/hydrology9030050
62. Integration of frequency analysis and HEC-RAS for probabilistic flood hazard mapping M. Shaikh et al. https://doi.org/10.1680/jwama.24.00046
63. Flood Risk Management in Flanders: Past Developments and Future Challenges W. Kellens et al. https://doi.org/10.1007/s11269-013-0366-4
64. DEVELOPMENT OF HYDROLOGICAL MODELLING USING HEC-HMS AND HEC-RAS FOR FLOOD HAZARD MAPPING AT JUNJUNG RIVER CATCHMENT F. Ata et al. https://doi.org/10.21837/pm.v21i30.1390
65. Depositional evidence of palaeofloods during 4.0–3.6 ka BP at the Jinsha site, Chengdu Plain, China T. Jia et al. https://doi.org/10.1016/j.quaint.2016.07.008
66. A topological characterization of flooding impacts on the Zurich road network Y. Casali et al. https://doi.org/10.1371/journal.pone.0220338
67. Data-driven recommendations for enhancing real-time natural hazard warnings K. Saunders et al. https://doi.org/10.1016/j.oneear.2025.101274
68. Flood fatality hazard and flood damage hazard: combining multiple hazard characteristics into meaningful maps for spatial planning K. de Bruijn et al. https://doi.org/10.5194/nhess-15-1297-2015
69. Estimating flood exposure potentials in Turkish catchments through index-based flood mapping G. Onuşluel Gül https://doi.org/10.1007/s11069-013-0717-8
70. 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
71. Up-scaling of impact dependent loss distributions: a hybrid convolution approach for flood risk in Europe S. Hochrainer-Stigler et al. https://doi.org/10.1007/s11069-013-0885-6
72. Effects of sediment transport on flood hazards: Lessons learned and remaining challenges D. Vázquez-Tarrío et al. https://doi.org/10.1016/j.geomorph.2023.108976
73. 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
74. A Flood Risk Assessment of Quang Nam, Vietnam Using Spatial Multicriteria Decision Analysis C. Luu & J. Von Meding https://doi.org/10.3390/w10040461
75. Multi-hazard direct economic loss risk assessment on the Tibet Plateau R. Ya et al. https://doi.org/10.1080/19475705.2024.2368075
76. Probabilistic mapping of life loss due to dam-break flooding A. Maranzoni et al. https://doi.org/10.1007/s11069-023-06285-3
77. A Comparative Analysis of Exceptional Flood Events in the Context of Heavy Rains in the Summer of 2010: Siret Basin (NE Romania) Case Study G. Romanescu et al. https://doi.org/10.3390/w10020216
78. Suitability estimation for urban development using multi-hazard assessment map G. Bathrellos et al. https://doi.org/10.1016/j.scitotenv.2016.10.025
79. Available Flood Evacuation Time for High-Risk Areas in the Middle Reach of Chao Phraya River Basin S. Jamrussri & Y. Toda https://doi.org/10.3390/w10121871
80. An Evaluation of Risk-Based Agricultural Land-Use Adjustments under a Flood Management Strategy in a Floodplain M. Tariq et al. https://doi.org/10.3390/hydrology8010053
81. Effective flood risk visualisation S. Percival et al. https://doi.org/10.1007/s11069-020-04173-8
82. Towards high resolution flood monitoring: An integrated methodology using passive microwave brightness temperatures and Sentinel synthetic aperture radar imagery Z. Zeng et al. https://doi.org/10.1016/j.jhydrol.2019.124377
83. Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping G. Papaioannou et al. https://doi.org/10.1007/s11269-014-0817-6
84. Do Remote Sensing Mapping Practices Adequately Address Localized Flooding? A Critical Overview R. Malinowski et al. https://doi.org/10.1007/s40362-017-0043-8
85. Flood hazard mapping in Southern Brazil: a combination of flow frequency analysis and the HAND model G. Speckhann et al. https://doi.org/10.1080/02626667.2017.1409896
86. INUNDATION PATTERNS AND FATALITY ANALYSIS ON LARGE-SCALE FLOOD K. IKEUCHI et al. https://doi.org/10.2208/jscejhe.67.133
87. Explaining differences in flood management approaches in Europe and in the USA – a comparative analysis P. Bubeck et al. https://doi.org/10.1111/jfr3.12151
88. Assessing changes in urban flood vulnerability through mapping land use from historical information M. Boudou et al. https://doi.org/10.5194/hess-20-161-2016
89. Flood Management Strategies in Frequent and Small Scale Events: Lessons Learned from Amarante (Portugal) F. Tedim & S. Carvalho https://doi.org/10.2478/v10117-010-0024-3
90. Integrating spatial planning and flood risk management: A new conceptual framework for the spatially integrated policy infrastructure J. Ran & Z. Nedovic-Budic https://doi.org/10.1016/j.compenvurbsys.2016.01.008
91. Extreme precipitations and their influence on the River flood Hazards: A case study of the Sana River Basin in Bosnia and Herzegovina L. Sabljić et al. https://doi.org/10.5937/gp27-45600
92. Estimation of flood inundation probabilities using global hazard indexes based on hydrodynamic variables G. Aronica et al. https://doi.org/10.1016/j.pce.2011.04.001
93. Investigation on the use of geomorphic approaches for the delineation of flood prone areas S. Manfreda et al. https://doi.org/10.1016/j.jhydrol.2014.06.009
94. Exploring multicriteria flood vulnerability by integrating economic, social and ecological dimensions of flood risk and coping capacity: from a starting point view towards an end point view of vulnerability S. Scheuer et al. https://doi.org/10.1007/s11069-010-9666-7
95. Low‐Probability Flood Risk Modeling for New York City J. Aerts et al. https://doi.org/10.1111/risa.12008
96. Connecting global‐ and local‐scale flood risk assessment: a case study of the Rhine River basin flood hazard M. Gusyev et al. https://doi.org/10.1111/jfr3.12243
97. 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
98. The agricultural impact of the 2015–2016 floods in Ireland as mapped through Sentinel 1 satellite imagery R. O’Hara et al. https://doi.org/10.2478/ijafr-2019-0006
99. 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
100. The role of spatial dependence for large-scale flood risk estimation A. Metin et al. https://doi.org/10.5194/nhess-20-967-2020
101. Applications of Open-Access Remotely Sensed Data for Flood Modelling and Mapping in Developing Regions I. Ekeu-wei & G. Blackburn https://doi.org/10.3390/hydrology5030039
102. Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin, Pakistan S. Mahmood et al. https://doi.org/10.1007/s10661-019-7746-z
103. 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
104. Adaptability and transferability of flood loss functions in residential areas H. Cammerer et al. https://doi.org/10.5194/nhess-13-3063-2013
105. Flood hazard assessment and the role of citizen science B. Sy et al. https://doi.org/10.1111/jfr3.12519
106. Enhanced dam safety and resilience through revised probable maximum precipitation as insights from hydroelectric scheme in Malaysia S. Azha et al. https://doi.org/10.1016/j.rineng.2026.109090
107. Integrated multi-criteria flood vulnerability approach using fuzzy TOPSIS and Delphi technique G. Lee et al. https://doi.org/10.5194/nhess-13-1293-2013
108. On framing flood risk communications through maps: Effects on the real estate market N. Yousaf et al. https://doi.org/10.1016/j.apgeog.2025.103574
109. Spatially estimating flooding depths from damage reports L. Haselbach et al. https://doi.org/10.1007/s11069-023-05921-2
110. Assessing potential coastal flood exposure along the Port-Bouët Bay in Côte d’Ivoire using the enhanced bathtub model M. Kouakou et al. https://doi.org/10.1088/2515-7620/acfdfa
111. Flood risk zone mapping using rational model in a highly weathered Nitisols of Abakaliki Local Government Area, South-eastern Nigeria D. Aja et al. https://doi.org/10.1080/24749508.2019.1600912
112. 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
113. Validation of a 30 m resolution flood hazard model of the conterminous United States O. Wing et al. https://doi.org/10.1002/2017WR020917
114. Modeling the residential building stock in the Middle East for multi-hazard risk assessment J. Dabbeek & V. Silva https://doi.org/10.1007/s11069-019-03842-7
115. Framework for economic pluvial flood risk assessment considering climate change effects and adaptation benefits Q. Zhou et al. https://doi.org/10.1016/j.jhydrol.2011.11.031
116. Predictive Modeling of Envelope Flood Extents Using Geomorphic and Climatic‐Hydrologic Catchment Characteristics R. Tavares da Costa et al. https://doi.org/10.1029/2019WR026453
117. Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries M. Trinh & F. Molkenthin https://doi.org/10.1007/s11069-021-04843-1
118. Challenges for flood risk management in flood‐prone Sirajganj region of Bangladesh M. Ali et al. https://doi.org/10.1111/jfr3.12450
119. Development of a New Generation of Flood Inundation Maps—A Case Study of the Coastal City of Tainan, Taiwan D. Doong et al. https://doi.org/10.3390/w8110521
120. Impacts of climate and land use changes on flood risk management for the Schijn River, Belgium T. Akter et al. https://doi.org/10.1016/j.envsci.2018.07.002
121. Progress and landscape of disaster science: Insights from computational analyses M. Yazdani et al. https://doi.org/10.1016/j.ijdrr.2024.104536
122. What Role for Public Participation in Implementing the EU Floods Directive? A Comparison With the Water Framework Directive, Early Evidence from Germany and a Research Agenda J. Newig et al. https://doi.org/10.1002/eet.1650
123. Cultural Heritage in the Light of Flood Hazard: The Case of the “Ancient” Olympia, Greece K. Kalogeropoulos et al. https://doi.org/10.3390/hydrology10030061
124. Clustering Simultaneous Occurrences of the Extreme Floods in the Neckar Catchment E. Modiri & A. Bárdossy https://doi.org/10.3390/w13040399
125. Multi-temporal flood mapping and dynamics in Nepal's Terai (2019–2024) using Sentinel-1 SAR and change-detection approaches P. Khatiwada et al. https://doi.org/10.1016/j.rsase.2025.101860
126. Impact of the porosity of an urban block on the flood risk assessment: A laboratory experiment M. Mejía-Morales et al. https://doi.org/10.1016/j.jhydrol.2021.126715
127. FLOOD HAZARD ASSESSMENT VIA THRESHOLD BINARY CLASSIFIERS: CASE STUDY OF THE TANARO RIVER BASIN M. Degiorgis et al. https://doi.org/10.1002/ird.1806
128. Technical Note: Resolution enhancement of flood inundation grids S. Bryant et al. https://doi.org/10.5194/hess-28-575-2024
129. Topography- and nightlight-based national flood risk assessment in Canada A. Elshorbagy et al. https://doi.org/10.5194/hess-21-2219-2017
130. 100 Years of Competition between Reduction in Channel Capacity and Streamflow during Floods in the Guadalquivir River (Southern Spain) P. Bohorquez & J. Del Moral-Erencia https://doi.org/10.3390/rs9070727
131. Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change P. Knight et al. https://doi.org/10.5194/nhess-15-1457-2015
132. An Analysis Method of 1D Hydrodynamic Model Based on GIS for Flood Inundation Mapping B. Kim et al. https://doi.org/10.9798/KOSHAM.2011.11.6.227
133. Flood Risk Assessment for the Long-Term Strategic Planning Considering the Placement of Industrial Parks in Slovakia H. Grežo et al. https://doi.org/10.3390/su12104144
134. Optimal Transport Under Land Cover Information Constraints: Fusing Heterogeneous SAR Imagery and Social Media Data Z. Liu et al. https://doi.org/10.1109/TGRS.2024.3502659
135. Overbank flooding and human occupation of the Shalongka site in the Upper Yellow River Valley, northeast Tibet Plateau in relation to climate change since the last deglaciation G. Li et al. https://doi.org/10.1016/j.yqres.2014.07.005
136. Enhancing river model set-up for 2-D dynamic flood modelling P. Costabile & F. Macchione https://doi.org/10.1016/j.envsoft.2015.01.009
137. Classifiers for the detection of flood-prone areas using remote sensed elevation data M. Degiorgis et al. https://doi.org/10.1016/j.jhydrol.2012.09.006
138. Flood Risk Communication Using ArcGIS StoryMaps K. Oubennaceur et al. https://doi.org/10.3390/hydrology8040152
139. 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
140. Beyond a fixed number: Investigating uncertainty in popular evaluation metrics of ensemble flood modeling using bootstrapping analysis T. Huang & V. Merwade https://doi.org/10.1111/jfr3.12982
141. Do flood risk perceptions provide useful insights for flood risk management? Findings from central Vietnam P. Bubeck et al. https://doi.org/10.1111/j.1753-318X.2012.01151.x
142. Geographers versus Managers: Expert Influence on the Construction of Values Underlying Flood Insurance in the United States E. Bergsma https://doi.org/10.3197/096327116X14736981715661
143. How presentation format affects the interpretation of probabilistic flood risk information A. Strathie et al. https://doi.org/10.1111/jfr3.12152
144. Emergency risk assessment: the Estonian approach A. Tammepuu & K. Sepp https://doi.org/10.1080/13669877.2012.726237
145. A Faster and Economical Approach to Floodplain Mapping Using Soil Information N. Sangwan & V. Merwade https://doi.org/10.1111/1752-1688.12306
146. Towards Sustainable Land Uses within the Elbe River Biosphere Reserve in Lower Saxony, Germany by Means of TerraSAR-X Images D. Farghaly et al. https://doi.org/10.4236/gep.2016.43009
147. Validation of flood risk maps using open source optical and radar satellite imagery E. Quirós & A. Gagnon https://doi.org/10.1111/tgis.12637
148. Keep it simple: user-focused flood risk visualisation J. Clarke et al. https://doi.org/10.1680/cien.13.00016
149. Nationwide Flood Monitoring for Disaster Risk Reduction Using Multiple Satellite Data Y. Kwak https://doi.org/10.3390/ijgi6070203
150. Assessment of Flood Risk Map under Climate Change RCP8.5 Scenarios in Taiwan Y. Chen et al. https://doi.org/10.3390/w14020207
151. A GIS-Based Artificial Neural Network Model for Flood Susceptibility Assessment N. Khoirunisa et al. https://doi.org/10.3390/ijerph18031072
152. Developing an integrated methodology for flood-hazard assessment: application to the Pikrodafni River Basin (Attica, Greece) S. Sigourou et al. https://doi.org/10.3389/fbuil.2026.1768439
153. Evaluation of coastal vulnerability to flooding: comparison of two different methodologies adopted by the Emilia-Romagna region (Italy) L. Perini et al. https://doi.org/10.5194/nhess-16-181-2016
154. 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
155. Analyzing Vietnam's national disaster loss database for flood risk assessment using multiple linear regression-TOPSIS C. Luu et al. https://doi.org/10.1016/j.ijdrr.2019.101153
156. Quantitative flood hazard assessment methods: A review A. Maranzoni et al. https://doi.org/10.1111/jfr3.12855
157. Online Decision Support Infrastructures for Integrating Spatial Planning and Flood Risk Management Policies J. Ran & Z. Nedovic-Budic https://doi.org/10.3390/ijgi13020053
158. A review of multiple natural hazards and risks in Germany H. Kreibich et al. https://doi.org/10.1007/s11069-014-1265-6
159. Implementing the Requirements of the European Flood Directive: the Case of Ungauged and Poorly Gauged Watersheds S. Yannopoulos et al. https://doi.org/10.1007/s40710-015-0094-2
160. A holistic model for coastal flooding using system diagrams and the Source-Pathway-Receptor (SPR) concept S. Narayan et al. https://doi.org/10.5194/nhess-12-1431-2012
161. Internal communication a prerequisite for risk governance: hazard zone planning in South Tyrol, Italy S. Link & J. Stötter https://doi.org/10.1080/17477891.2014.993580
162. Governance in support of integrated flood risk management? The case of Romania J. Vinke-de Kruijf et al. https://doi.org/10.1016/j.envdev.2015.04.003
163. Flood‐resilient waterfront development in New York City: Bridging flood insurance, building codes, and flood zoning J. Aerts & W. Wouter Botzen https://doi.org/10.1111/j.1749-6632.2011.06074.x
164. A framework model for the dimensioning and allocation of a detention basin system: The case of a flood-prone mountainous watershed A. Bellu et al. https://doi.org/10.1016/j.jhydrol.2015.12.043
165. A conceptual model of people's vulnerability to floods L. Milanesi et al. https://doi.org/10.1002/2014WR016172
166. Variations in flood magnitude–effect relations and the implications for flood risk assessment and river management J. Hooke https://doi.org/10.1016/j.geomorph.2015.05.014
167. Flood damage and risk assessment for urban area in Malaysia N. Romali & Z. Yusop https://doi.org/10.2166/nh.2020.121
168. Floodplain Mapping Using HEC-RAS and ArcGIS: A Case Study of Kabul River M. Khattak et al. https://doi.org/10.1007/s13369-015-1915-3
169. A method for assessing the credibility of volunteered geographic information in case of flood crisis Q. Safariallahkheili & M. Malek https://doi.org/10.1016/j.procs.2022.09.218
170. Flood risk assessment in art cities: the exemplary case of Florence (Italy) C. Arrighi et al. https://doi.org/10.1111/jfr3.12226
171. Can the risk of coastal hazards be better communicated? J. Pile et al. https://doi.org/10.1016/j.ijdrr.2017.11.008
172. Surface Water Mapping and Flood Monitoring in the Mekong Delta Using Sentinel-1 SAR Time Series and Otsu Threshold K. Tran et al. https://doi.org/10.3390/rs14225721
173. Urban Flood Hazard Assessment and Management Practices in South Asia: A Review B. Manandhar et al. https://doi.org/10.3390/land12030627
174. FLOPROS: an evolving global database of flood protection standards P. Scussolini et al. https://doi.org/10.5194/nhess-16-1049-2016
175. 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
176. 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
177. Regional flood inundation nowcast using hybrid SOM and dynamic neural networks L. Chang et al. https://doi.org/10.1016/j.jhydrol.2014.07.036
178. Development of a Preliminary-Risk-Based Flood Management Approach to Address the Spatiotemporal Distribution of Risk under the Kaldor–Hicks Compensation Principle M. Tariq et al. https://doi.org/10.3390/app10249045
179. Assessment of risk modification due to safety barrier performance degradation in Natech events A. Misuri et al. https://doi.org/10.1016/j.ress.2021.107634
180. Going beyond the flood insurance rate map: insights from flood hazard map co-production A. Luke et al. https://doi.org/10.5194/nhess-18-1097-2018
181. HydroPredicT_Extreme: A probabilistic method for the prediction of extremal high-flow hydrological events J. Molina et al. https://doi.org/10.1016/j.jhydrol.2022.127929
182. Ecological Restoration as a Means of Managing Inland Flood Hazards C. Nilsson et al. https://doi.org/10.1093/biosci/bix148
183. Flood risk assessment of cultural heritage across countries and spatial scales E. Nobile et al. https://doi.org/10.1016/j.ijdrr.2025.105236
184. Household measures for river flood risk reduction in the Czech Republic B. Duží et al. https://doi.org/10.1111/jfr3.12132
185. Flood risk assessment of the European road network K. van Ginkel et al. https://doi.org/10.5194/nhess-21-1011-2021
186. Satellite-based assessment of the August 2018 flood in parts of Kerala, India C. Vishnu et al. https://doi.org/10.1080/19475705.2018.1543212
187. Comparing 2D capabilities of HEC-RAS and LISFLOOD-FP on complex topography I. Shustikova et al. https://doi.org/10.1080/02626667.2019.1671982
188. Assessment of flash flood hazard based on morphometric aspects and rainfall-runoff modeling in Wadi Nisah, central Saudi Arabia M. Abdelkader et al. https://doi.org/10.1016/j.rsase.2021.100562
189. 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
190. Flood impacts on a water distribution network C. Arrighi et al. https://doi.org/10.5194/nhess-17-2109-2017
191. Advances in pan‐European flood hazard mapping L. Alfieri et al. https://doi.org/10.1002/hyp.9947
192. A GIS-based multi-criteria decision analysis of urban flood risk W. Xu et al. https://doi.org/10.1108/IJBPA-11-2024-0233
193. Spatiotemporal flood risk assessment of underground space considering flood intensity and escape route E. Shin et al. https://doi.org/10.1007/s11069-021-04888-2
194. Lessons learned from past ice-jam floods concerning the challenges of flood mapping K. Lindenschmidt et al. https://doi.org/10.1080/15715124.2018.1439496
195. Assessing the Governance Context Support for Creating a Pluvial Flood Risk Map with Climate Change Scenarios: The Flemish Subnational Case C. Casiano Flores & J. Crompvoets https://doi.org/10.3390/ijgi9070460
196. 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
197. 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
198. Comparative Analysis of Coastal Flooding Vulnerability and Hazard Assessment at National Scale M. Di Risio et al. https://doi.org/10.3390/jmse5040051
199. A Study on Storm and Flood Insurance Management Mapping: Case Study of Incheon Metropolitan City I. Lee et al. https://doi.org/10.3390/ijgi8110485
200. Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates H. de Moel & J. Aerts https://doi.org/10.1007/s11069-010-9675-6
201. 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
202. An efficient flood dynamic visualization approach based on 3D printing and augmented reality G. Zhang et al. https://doi.org/10.1080/17538947.2019.1711210
203. 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
204. Dealing with sediment transport in flood risk management M. Nones https://doi.org/10.1007/s11600-019-00273-7
205. Model Uncertainty in Flood Modelling. Case Study at Vu Gia Thu Bon Catchment - Vietnam V. Duong & P. Gourbesville https://doi.org/10.1016/j.proeng.2016.07.537
206. Low cost, multiscale and multi-sensor application for flooded area mapping D. Giordan et al. https://doi.org/10.5194/nhess-18-1493-2018
207. Methodology for future flood assessment in terms of economic damage: Development and application for a case study in Nepal M. Delalay et al. https://doi.org/10.1111/jfr3.12623
208. Integrated assessment of socio-economic risks of hazardous hydrological phenomena in Slavyansk municipal district S. Zemtsov et al. https://doi.org/10.1007/s11069-016-2290-4
209. Towards periodic and time-referenced flood risk assessment using airborne remote sensing C. Brenner et al. https://doi.org/10.1515/johh-2016-0034
210. Batman Barajı’nın Yıkılması Durumunda Mansapta Taşkın Riskinin İki Boyutlu Hidrolik Modelleme ve Uydu Verileri ile Analizi G. UYSAL & E. TAŞÇI https://doi.org/10.21324/dacd.1107630
211. Identification of priority areas for green stormwater infrastructure based on supply and demand evaluation of flood regulation service Y. Zhou & X. Wu https://doi.org/10.1016/j.envdev.2023.100815
212. Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry S. Zazo et al. https://doi.org/10.3390/rs10101566
213. Creating effective flood warnings: A framework from a critical review M. Kuller et al. https://doi.org/10.1016/j.jhydrol.2021.126708
214. Urban flood resilience, a multi-level institutional analysis of planning practices in the Metropolitan City of Naples C. Vitale et al. https://doi.org/10.1080/09640568.2021.2006156
215. Flood hazard assessment of River Dep floodplains in North-Central Nigeria E. Rose et al. https://doi.org/10.5897/IJWREE2013.0457
216. A Critical Review of Flood Risk Management and the Selection of Suitable Measures M. Tariq et al. https://doi.org/10.3390/app10238752
217. Detailed insights into the influence of flood-coping appraisals on mitigation behaviour P. Bubeck et al. https://doi.org/10.1016/j.gloenvcha.2013.05.009
218. Robust spatial flood vulnerability assessment for Han River using fuzzy TOPSIS with α-cut level set G. Lee et al. https://doi.org/10.1016/j.eswa.2013.07.089
219. Motivations, procedures and stated values for municipal flood plans: experiences from Central Europe M. Krpešová & P. Raška https://doi.org/10.1080/02508060.2023.2214876
220. The SPR systems model as a conceptual foundation for rapid integrated risk appraisals: Lessons from Europe S. Narayan et al. https://doi.org/10.1016/j.coastaleng.2013.10.021
221. 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
222. Risk-based flood zoning employing expected annual damages: the Chenab River case study M. Tariq https://doi.org/10.1007/s00477-013-0730-1
223. 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
224. Cascading Events, Technology and the Floods Directive: future challenges G. Pescaroli et al. https://doi.org/10.1051/e3sconf/20160707003
225. Developing surface water flood forecasting capabilities in Scotland: an operational pilot for the 2014 Commonwealth Games in Glasgow L. Speight et al. https://doi.org/10.1111/jfr3.12281
226. 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
227. Accounting for historical data uncertainty in flood frequency analysis: the Upper Rhine River M. Lang et al. https://doi.org/10.1016/j.jhydrol.2025.133480
228. Climate change, urban development, and community perception of an extreme flood: A case study of Vernonia, Oregon, USA R. Tripathi et al. https://doi.org/10.1016/j.apgeog.2013.11.007
229. Attention-based deep learning framework for urban flood damage and risk assessment with improved flood prediction and land use segmentation Z. Situ et al. https://doi.org/10.1016/j.ijdrr.2024.105165
230. A new methodology for flood hazard assessment considering dike breaches S. Vorogushyn et al. https://doi.org/10.1029/2009WR008475
231. Hydrodynamics of long-duration urban floods: experiments and numerical modelling A. Arrault et al. https://doi.org/10.5194/nhess-16-1413-2016
232. Who can you trust? Implications of institutional vulnerability in flood exposure along the Spanish Mediterranean coast F. López-Martínez et al. https://doi.org/10.1016/j.envsci.2017.06.004
233. A comparative impact assessment of using historical- and future-based flood hydrographs in planning flood control facilities E. Yalcin & A. Simsek https://doi.org/10.2166/wcc.2025.211
234. Pre‐flood inundation mapping for flood early warning L. Billa et al. https://doi.org/10.1111/j.1753-318X.2011.01115.x
235. Moving to 3-D flood hazard maps for enhancing risk communication F. Macchione et al. https://doi.org/10.1016/j.envsoft.2018.11.005
236. Application of re/insurance models to estimate increases in flood risk due to climate change J. Thistlethwaite et al. https://doi.org/10.1186/s40677-018-0101-9
237. Theoretical Framework to Assess Green Roof Performance in Mitigating Urban Flooding as a Potential Nature-Based Solution A. Basu et al. https://doi.org/10.3390/su132313231
238. Flood probability quantification for road infrastructure: Data-driven spatial-statistical approach and case study applications Z. Kalantari et al. https://doi.org/10.1016/j.scitotenv.2016.12.147
239. Evaluating riverine flood policy: Land use planning trends in Aotearoa New Zealand C. Hanna et al. https://doi.org/10.1016/j.envsci.2025.104006
240. Comprehensive flood inundation mapping by integrating HEC-RAS and ArcGIS for a long stretch multi-tributary river system A. Sharma & V. Vidyarthi https://doi.org/10.1080/09715010.2025.2610184
241. 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
242. Methodological approach for mapping the flood physical vulnerability index with geographical open-source data: an example in a small-middle city (Ponferrada, Spain) L. Tascón-González et al. https://doi.org/10.1007/s11069-023-06370-7
243. Linking Flood Susceptibility Mapping and Governance in Mexico for Flood Mitigation: A Participatory Approach Model R. Bonasia & S. Lucatello https://doi.org/10.3390/atmos10080424
244. Planning the Urban Waterfront Transformation, from Infrastructures to Public Space Design in a Sea-Level Rise Scenario: The European Union Prize for Contemporary Architecture Case F. Dal Cin et al. https://doi.org/10.3390/w13020218
245. Influence of flood risk characteristics on flood insurance demand: a comparison between Germany and the Netherlands I. Seifert et al. https://doi.org/10.5194/nhess-13-1691-2013
246. Effects of flood hazard visualization format on house purchasing decisions B. Dobson et al. https://doi.org/10.1080/1573062X.2018.1537370
247. Development of an Automated Tool for Delineation of Flood Footprints from SAR Imagery for Rapid Disaster Response: A Case Study S. Kuntla & P. Manjusree https://doi.org/10.1007/s12524-020-01125-4
248. Flood impact on masonry buildings: The effect of flow characteristics and incidence angle M. Postacchini et al. https://doi.org/10.1016/j.jfluidstructs.2019.04.004
249. Impact of hydraulic model resolution and loss of life model modification on flood fatality risk estimation: Case study of the Bommelerwaard, The Netherlands A. Brussee et al. https://doi.org/10.1111/jfr3.12713
250. Adaptive flood risk management planning based on a comprehensive flood risk conceptualisation F. Klijn et al. https://doi.org/10.1007/s11027-015-9638-z
251. 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
252. Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping A. Cook & V. Merwade https://doi.org/10.1016/j.jhydrol.2009.08.015
253. Does updating natural hazard maps to reflect best practices increase viewer comprehension of risk? C. MacPherson-Krutsky et al. https://doi.org/10.1016/j.ijdrr.2020.101487
254. 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
255. Communicating disaster risk? An evaluation of the availability and quality of flood maps D. Henstra et al. https://doi.org/10.5194/nhess-19-313-2019
256. A multi‐scale framework for flood risk analysis at spatially distributed locations L. Speight et al. https://doi.org/10.1111/jfr3.12175
257. Flood risk assessment – Practices in flood prone Swedish municipalities V. Norén et al. https://doi.org/10.1016/j.ijdrr.2016.07.003
258. Enhanced Urban Flood Monitoring: Integrating Advanced Semantic Segmentation and Human Facial Feature and Posture Analysis B. Nair et al. https://doi.org/10.1109/ACCESS.2024.3513239
259. Shallow-water models with anisotropic porosity and merging for flood modelling on Cartesian grids M. Bruwier et al. https://doi.org/10.1016/j.jhydrol.2017.09.051
260. Flood hazard assessment in Chenab River basin using hydraulic simulation modeling and remote sensing A. Sajjad et al. https://doi.org/10.1007/s11069-024-06513-4
261. Flood vulnerability assessment in the mountain–plateau transition zone: a case study of Marginea village (Romania) G. Romanescu et al. https://doi.org/10.1111/jfr3.12249
262. Recurrent Governance Challenges in the Implementation and Alignment of Flood Risk Management Strategies: a Review C. Dieperink et al. https://doi.org/10.1007/s11269-016-1491-7
263. Comparison of two modelling strategies for 2D large-scale flood simulations S. Dazzi et al. https://doi.org/10.1016/j.envsoft.2021.105225
264. 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
265. National scale assessment of climate change impacts on flooding in Finland N. Veijalainen et al. https://doi.org/10.1016/j.jhydrol.2010.07.035
266. Natural hazards affecting cultural heritage: assessment of flood and landslide risk for the 28 existing Norwegian stave churches C. Bertolin & E. Sesana https://doi.org/10.1108/IJBPA-03-2022-0042
267. Evaluation of web maps for the communication of flood risks to the public in Europe M. Van Kerkvoorde et al. https://doi.org/10.1080/23729333.2017.1371411
268. Hydraulic model evaluation for large‐scale flood risk assessments D. Falter et al. https://doi.org/10.1002/hyp.9553
269. Probabilistic Flood Hazard Mapping Considering Multiple Levee Breaches A. Maranzoni et al. https://doi.org/10.1029/2021WR030874
270. A Flood Inundation Modeling Approach for Urban and Rural Areas in Lake and Large-Scale River Basins G. Papaioannou et al. https://doi.org/10.3390/w13091264
271. Review of Dam-break Research of Earth-rock Dam Combining with Dam Safety Management L. You et al. https://doi.org/10.1016/j.proeng.2012.01.737
272. Doing more while remaining the same? Flood risk governance in Poland P. Matczak et al. https://doi.org/10.1111/jfr3.12300
273. Flood risk mapping in Europe, experiences and best practices J. Van Alphen et al. https://doi.org/10.1111/j.1753-318X.2009.01045.x
274. Reconstruction of the 1974 flash flood in Sóller (Mallorca) using a hydraulic 1D/2D model C. Thomas et al. https://doi.org/10.2478/johh-2022-0027
275. Application of Harmony Search Algorithm to Reservoir Operation Optimization H. Bashiri-Atrabi et al. https://doi.org/10.1007/s11269-015-1143-3
276. Development of an integrated flood hazard assessment model for a complex river system: a case study of the Mun River Basin, Thailand S. Prabnakorn et al. https://doi.org/10.1007/s40808-019-00634-7
277. Near real-time coastal flood inundation simulation with uncertainty analysis and GPU acceleration in a web environment J. Kovanen et al. https://doi.org/10.1016/j.cageo.2018.06.007
278. Exceptional floods in the Prut basin, Romania, in the context of heavy rains in the summer of 2010 G. Romanescu & C. Stoleriu https://doi.org/10.5194/nhess-17-381-2017
279. District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process Ö. Ekmekcioğlu et al. https://doi.org/10.1007/s00477-020-01924-8
280. Land use and land cover classification on high-resolution UAV images for heavy rainfall hazard maps using deep neural networks D. Sprute et al. https://doi.org/10.1016/j.rsase.2025.101609
281. 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
282. Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping A. Alipour et al. https://doi.org/10.1016/j.envsoft.2022.105398
283. Catchment-Scale Flood Modelling in Data-Sparse Regions Using Open-Access Geospatial Technology I. Ekeu-wei & G. Blackburn https://doi.org/10.3390/ijgi9090512
284. Rethinking flood risk communication E. Rollason et al. https://doi.org/10.1007/s11069-018-3273-4
285. 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
286. Detection of Temporary Flooded Vegetation Using Sentinel-1 Time Series Data V. Tsyganskaya et al. https://doi.org/10.3390/rs10081286
287. Flood Frequency Hydrology with Limited Data for the Weser River Basin, Germany J. McCollum & E. Beighley https://doi.org/10.1061/(ASCE)HE.1943-5584.0001713
288. Implications of disclosure and non-disclosure of flood hazard maps – a synthesis for the Canadian context T. Lyle et al. https://doi.org/10.1080/07011784.2023.2287462
289. Fluvial geomorphology and flood-risk management G. Arnaud-Fassetta et al. https://doi.org/10.4000/geomorphologie.7554
290. Pluvial Flash Flood Hazard and Risk Mapping in Croatia: Case Study in the Gospić Catchment N. Krvavica et al. https://doi.org/10.3390/su15021197
291. Managing residual flood risk: Lessons learned from experiences in Taiwan H. Wang et al. https://doi.org/10.1016/j.pdisas.2024.100337
292. A comparison of building value models for flood risk analysis V. Röthlisberger et al. https://doi.org/10.5194/nhess-18-2431-2018
293. A PolSAR Change Detection Index Based on Neighborhood Information for Flood Mapping S. Mahdavi et al. https://doi.org/10.3390/rs11161854
294. Using Panel Data to Understand the Dynamics of Human Behavior in Response to Flooding P. Bubeck et al. https://doi.org/10.1111/risa.13548
295. 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
296. Upstream structural management measures for an urban area flooding in Turkey Z. Akyurek et al. https://doi.org/10.5194/piahs-370-45-2015
297. A GIS-based integration of catastrophe theory and analytical hierarchy process for mapping flood susceptibility: a case study of Teeb area, Southern Iraq A. Al-Abadi et al. https://doi.org/10.1007/s12665-016-5523-7
298. Real-time assessment of flash flood impacts at pan-European scale: The ReAFFINE method J. Ritter et al. https://doi.org/10.1016/j.jhydrol.2021.127022
299. Barriers to quantifying human alterations of global floodplains and how we can overcome them A. Rajib et al. https://doi.org/10.1016/j.crsus.2025.100433
300. Prior Recognition of Flash Floods: Concrete Optimal Neural Network Configuration Analysis for Multi-Resolution Sensing T. Khan et al. https://doi.org/10.1109/ACCESS.2020.3038812
301. A hydro-sedimentary modeling system for flash flood propagation and hazard estimation under different agricultural practices N. Kourgialas & G. Karatzas https://doi.org/10.5194/nhess-14-625-2014
302. A review of the literature on spatial prediction of floods using machine learning models S. Hajji et al. https://doi.org/10.1007/s11852-025-01158-2
303. Mapping current and future flood exposure using a 5 m flood model and climate change projections C. Darlington et al. https://doi.org/10.5194/nhess-24-699-2024
304. 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
305. 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
306. Changes concerning commute traffic distribution on a road network following the occurrence of a natural disaster – The example of a flood in the Mazovian Voivodeship (Eastern Poland) M. Borowska-Stefańska et al. https://doi.org/10.1016/j.trd.2018.08.008
307. Improving flood risk map accuracy using high‐density LiDAR data and the HEC‐RAS river analysis system: A case study from north‐eastern Romania C. Stoleriu et al. https://doi.org/10.1111/jfr3.12572
308. Using GIS to map impacts upon agriculture from extreme floods in Vietnam V. Chau et al. https://doi.org/10.1016/j.apgeog.2013.03.014
309. Flood Inundation Mapping for Porsuk Stream, Eskişehir, Turkey M. KALE & M. ATAOL https://doi.org/10.35341/afet.1197929
310. Barriers to Insurance as a Flood Risk Management Tool: Evidence from a Survey of Property Owners J. Thistlethwaite et al. https://doi.org/10.1007/s13753-020-00272-z
311. Variance based sensitivity analysis of 1D and 2D hydraulic models: An experimental urban flood case S. Chen et al. https://doi.org/10.1016/j.envsoft.2018.08.008
312. Discrepancies in Flood Modelling Approaches in Transboundary River Systems: Legacy of the Past or Well-grounded Choices? V. Kitsikoudis et al. https://doi.org/10.1007/s11269-020-02621-5
313. Bayesian Networks for Preprocessing Water Management Data R. Ropero et al. https://doi.org/10.3390/math10101777
314. A Risk-Based Approach for the Analysis of Flood Impact in Villahermosa (Tabasco, Mexico) M. Ceragene et al. https://doi.org/10.3390/w15223969
315. Enhancing flood risk maps by a participatory and collaborative design process G. Minucci et al. https://doi.org/10.1016/j.ijdrr.2020.101747
316. Did we open the flood gates? climate risk and infrastructure loans probability of default A. Assab https://doi.org/10.1016/j.jclimf.2025.100066
317. A deep-learning-technique-based data-driven model for accurate and rapid flood predictions in temporal and spatial dimensions Q. Zhou et al. https://doi.org/10.5194/hess-27-1791-2023
318. Public Attitudes Toward Policy Instruments for Flood Risk Management J. Raikes et al. https://doi.org/10.1007/s00267-023-01848-3
319. Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam C. Luu et al. https://doi.org/10.3390/su12073058
320. Estimating River Channel Bathymetry in Large Scale Flood Inundation Models J. Neal et al. https://doi.org/10.1029/2020WR028301
321. Uncertainties in flood risk mapping: a case study on estimating building damages for a river flood in Finland L. Koivumäki et al. https://doi.org/10.1111/j.1753-318X.2010.01064.x
322. 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
323. Risky spaces: Creating, contesting and communicating lines on environmental hazard maps G. Haughton & I. White https://doi.org/10.1111/tran.12227
324. Assessment of Climate Change Impact on Flood Hazard Zones T. Dysarz et al. https://doi.org/10.1007/s11269-024-04002-8
325. Deep learning methods for flood mapping: a review of existing applications and future research directions R. Bentivoglio et al. https://doi.org/10.5194/hess-26-4345-2022
326. Development of a General Protocol to Enhance the Hydrological Analysis Techniques for Urban Catchments in Ireland E. Longo & J. Rooney https://doi.org/10.3390/geosciences8070252
327. Flood risk mapping for the area with mixed floods and human impact: a case study of Yarkant River Basin in Xinjiang, China J. Yang et al. https://doi.org/10.1088/2515-7620/acf0a2
328. Evaluation of Urban Small Watershed Relative Flood Risk using Multi Criteria Decision Making Method J. Lee et al. https://doi.org/10.9798/KOSHAM.2018.18.2.431
329. How reliable are projections of future flood damage? P. Bubeck et al. https://doi.org/10.5194/nhess-11-3293-2011
330. Optimisation of the two-dimensional hydraulic model LISFOOD-FP for CPU architecture J. Neal et al. https://doi.org/10.1016/j.envsoft.2018.05.011
331. Assessment of a Regional Flood Disaster Indicator via an Entropy Weighting Method Z. Chen et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000280
332. Flood risk assessments at different spatial scales H. de Moel et al. https://doi.org/10.1007/s11027-015-9654-z
333. Flood hazard zone mapping incorporating geographic information system (GIS) and multi-criteria analysis (MCA) techniques Y. Chen https://doi.org/10.1016/j.jhydrol.2022.128268
334. An opportunity missed is an opportunity lost. Flood maps and their (non-)utilization by local government bodies in the Czech Republic K. Klemešová et al. https://doi.org/10.2478/mgr-2024-0011
335. 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
336. Probabilistic Flood Hazard Mapping Using Bivariate Analysis Based on Copulas A. Candela & G. Aronica https://doi.org/10.1061/AJRUA6.0000883
337. Changes in the extent of flood hazard zones and land use within them in Poland: a commune-level perspective M. Borowska-Stefańska et al. https://doi.org/10.1080/1523908X.2026.2656306
338. Kuru Derelerde Taşkın Risk Analizi; Kebendibi Deresi Örneği G. Altın et al. https://doi.org/10.21605/cukurovaumfd.1460463
339. 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
340. Flood Hazard Assessment Mapping in Burned and Urban Areas H. Skilodimou et al. https://doi.org/10.3390/su13084455
341. Flooding Hazard Mapping in Floodplain Areas Affected by Piping Breaches in the Po River, Italy M. Mazzoleni et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000840
342. Developing a Sustainable Flood Risk Appraisal (SFRA) Framework for the Pearl River Delta F. Chan et al. https://doi.org/10.1177/0975425313510770
343. Societal and environmental interconnections: future directions for flood inundation models Z. Li & S. Gorelick https://doi.org/10.1088/1748-9326/ae21f4
344. Contribution of land use changes to future flood damage along the river Meuse in the Walloon region A. Beckers et al. https://doi.org/10.5194/nhess-13-2301-2013
345. Integration of flood risk assessment and spatial planning for disaster management in Egypt A. Esmaiel et al. https://doi.org/10.1016/j.pdisas.2022.100245
346. A complex network approach to quantifying flood resilience in high-density coastal urban areas: A case study of Macau R. Zhang et al. https://doi.org/10.1016/j.ijdrr.2025.105335