144 citations as recorded by crossref.

1. Analysis of the Effect of Boro River Backwater as an Impact of Flood Inundation in Sewu Urban Village, Surakarta City S. Amina et al. https://doi.org/10.47134/scbmej.v2i2.3759
2. Flood risk analysis in Sg. Sam, Kuala Krai, Kelantan using remote sensing and GIS technique W. Udin & N. Malek https://doi.org/10.1088/1755-1315/169/1/012060
3. The Status of the European Waters in 2015: a Review G. Tsakiris https://doi.org/10.1007/s40710-015-0079-1
4. How Do Changes in Land Use and Land Cover Aggravate the Flooding Hazard? D. Malamataris et al. https://doi.org/10.3390/geohazards7030082
5. 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
6. Flood Analysis Using HEC-RAS and HEC-HMS: A Case Study of Khazir River (Middle East—Northern Iraq) A. AL-Hussein et al. https://doi.org/10.3390/w14223779
7. Building bridges between disciplines: a generalized mathematical framework for talking quantitative risk assessment A. Guthke et al. https://doi.org/10.1088/2634-4505/ae8f71
8. Assessment of flood-risk areas using random forest techniques: Busan Metropolitan City J. Ha & J. Kang https://doi.org/10.1007/s11069-021-05142-5
9. Impacts of climate hazards on coastal livelihoods in Ghana: the case of Ningo-Prampram in the Greater Accra region G. Darko et al. https://doi.org/10.1007/s10668-021-01492-z
10. A Deep Learning Framework for Flash-Flood-Runoff Prediction: Integrating CNN-RNN with Neural Ordinary Differential Equations (ODEs) K. Alkaabi et al. https://doi.org/10.3390/w17091283
11. Flash flood occurrence and relation to the rainfall hazard in a highly urbanized area K. Papagiannaki et al. https://doi.org/10.5194/nhess-15-1859-2015
12. An Attention-Enhanced Bivariate AI Model for Joint Prediction of Urban Flood Susceptibility and Inundation Depth T. Le et al. https://doi.org/10.3390/math13162617
13. Assessment of a Survivability Index for Drought Management in River Basins M. Gunacti & C. Cetinkaya https://doi.org/10.1007/s11269-025-04321-4
14. The investigation of flood risk perception as a quantitative analysis from socio-demographic perspective G. Eryılmaz Türkkan & T. Hırca https://doi.org/10.1007/s11069-020-04488-6
15. A Method to Construct an Environmental Vulnerability Model Based on Multi-Source Data to Evaluate the Hazard of Short-Term Precipitation-Induced Flooding H. Zhu et al. https://doi.org/10.3390/rs15061609
16. Flood risk assessment using machine learning, hydrodynamic modelling, and the analytic hierarchy process N. Huu Duy et al. https://doi.org/10.2166/hydro.2024.033
17. Ecosystem Services and Water Quality of Turloughs, a Form of Intermittent Karst Wetland F. Delle Grazie & L. Gill https://doi.org/10.1007/s13157-026-02053-8
18. A catchment scale Integrated Flood Resilience Index to support decision making in urban flood control design M. Miguez & A. Veról https://doi.org/10.1177/0265813516655799
19. Contrasting responses of unconfined and confined aquifers to an extreme flood event in the southeastern Caspian Sea Plain, Iran M. Mahmoodlu et al. https://doi.org/10.1007/s10040-026-03159-3
20. Flood mapping under uncertainty: a case study in the Canadian prairies R. Bharath & A. Elshorbagy https://doi.org/10.1007/s11069-018-3401-1
21. Evaluating the Effect of Deforestation on Decadal Runoffs in Malaysia Using the Revised Curve Number Rainfall Runoff Approach J. Khor et al. https://doi.org/10.3390/w15071392
22. A new framework integrating flood inundation modeling and multicriteria decision-making for enhanced flood risk mapping I. Jesna et al. https://doi.org/10.1007/s11069-024-06718-7
23. Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling G. Papaioannou et al. https://doi.org/10.5194/adgeo-44-23-2017
24. Natural hazards and their impact on rural settlements in NE Romania – A cartographical approach G. Vaculisteanu et al. https://doi.org/10.1515/geo-2019-0060
25. Study on the Contribution of Normalization to Reducing Flood Risk in the Ciliwung River, Tebet District, Jakarta M. Yatsrib et al. https://doi.org/10.1088/1755-1315/933/1/012032
26. Development and application of a comprehensive assessment method of regional flood disaster risk based on a refined random forest model using beluga whale optimization C. Wang et al. https://doi.org/10.1016/j.jhydrol.2024.130963
27. Floods modeling and analysis for Dubai using HEC-HMS model and remote sensing using GIS I. Khan et al. https://doi.org/10.1038/s41598-024-74736-3
28. Multi-criteria analysis-based mapping of the cyclone-induced pluvial flooding in coastal areas of India U. Mohseni et al. https://doi.org/10.30493/das.2025.490282
29. 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
30. Understanding flood risk in the context of community resilience modeling for the built environment: research needs and trends O. Nofal & J. van de Lindt https://doi.org/10.1080/23789689.2020.1722546
31. Evaluation of urban flood resilience and analysis of obstacle factors in northeast Sichuan based on PSR modeling W. Song et al. https://doi.org/10.1051/e3sconf/202668601004
32. Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas L. Gigović et al. https://doi.org/10.3390/w9060360
33. Simulation of floods under the influence of effective factors in hydraulic and hydrological models using HEC-RAS and MIKE 21 S. Ansarifard et al. https://doi.org/10.1007/s43832-024-00155-0
34. Whether higher risk indicates severe loss in the flood disaster assessment: A comparative analysis in the Hubei province of central China G. Guo et al. https://doi.org/10.1016/j.ejrh.2024.102002
35. Geospatial technology for flood hazard analysis in Comal Watershed, Central Java, Indonesia Y. Wibowo et al. https://doi.org/10.1088/1755-1315/1039/1/012027
36. Investigating compound flooding in an estuary using hydrodynamic modelling: a case study from the Shoalhaven River, Australia K. Kumbier et al. https://doi.org/10.5194/nhess-18-463-2018
37. Catchment-scale flood hazard mapping and flood vulnerability analysis of residential buildings: The case of Khando River in eastern Nepal S. Thapa et al. https://doi.org/10.1016/j.ejrh.2020.100704
38. Flood risk using GIS-based MCDA approach for a case study S. Hanwat & V. Tripathi https://doi.org/10.2166/wpt.2025.171
39. Simulating the Influence of Buildings on Flood Inundation in Urban Areas R. Beretta et al. https://doi.org/10.3390/geosciences8020077
40. Integrated optical and SAR data analysis for the monsoonal flood hazard mapping in the Tawi Basin Northwest Himalaya A. Taloor et al. https://doi.org/10.1016/j.pce.2025.103948
41. Flood risk assessment and driver analysis in mining subsidence-affected high-groundwater watersheds: a coupled HEV and machine learning approach Q. Hou et al. https://doi.org/10.1080/19475705.2026.2710942
42. Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China Z. Li et al. https://doi.org/10.3390/land10080878
43. Managing stream restoration: Framing and assessing the stream ecosystem services and biodiversity index (SESBI) G. Michael-Bitton et al. https://doi.org/10.1016/j.jenvman.2025.125938
44. 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
45. Evolución de la modelización numérica bidimensional del flujo en lámina libre a través del software Iber M. Sanz-Ramos et al. https://doi.org/10.4995/ia.2025.23259
46. An Operational Method for Flood Directive Implementation in Ungauged Urban Areas G. Papaioannou et al. https://doi.org/10.3390/hydrology5020024
47. Flood risk modeling for Kisumu County, Kenya: integrating multi-source geospatial data and machine learning H. Auma et al. https://doi.org/10.3389/fenvs.2026.1829199
48. An approach to urban waterway assessment using holistic values and reciprocity M. Scoggins et al. https://doi.org/10.1086/738639
49. An integrated quantitative framework to support design of resilient alternatives to manage urban flood risks M. Miguez et al. https://doi.org/10.1111/jfr3.12514
50. A GIS Tool for Mapping Dam-Break Flood Hazards in Italy R. Albano et al. https://doi.org/10.3390/ijgi8060250
51. A review of flood risk assessment frameworks and the development of hierarchical structures for risk components N. Tabasi et al. https://doi.org/10.1007/s43832-025-00193-2
52. Remote Sensing Data Assimilation in Crop Growth Modeling from an Agricultural Perspective: New Insights on Challenges and Prospects J. Wang et al. https://doi.org/10.3390/agronomy14091920
53. Flood risk assessment for Mulde River catchment transferring data from an observed meteorological flood event B. Aslantas et al. https://doi.org/10.1016/j.rineng.2024.103029
54. Conveying Flood Hazard Risk Through Spatial Modeling: A Case Study for Hurricane Sandy-Affected Communities in Northern New Jersey F. Artigas et al. https://doi.org/10.1007/s00267-016-0731-1
55. Flood Analysis in Lower Filyos Basin Using HEC-RAS and HEC-HMS Software B. Aksoy https://doi.org/10.3390/su17115220
56. An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards G. Ramos Filho et al. https://doi.org/10.1007/s11069-020-04405-x
57. Assasment of flood hazard reduction in DKI Jakarta: Bendungan Hilir Village S. Taufik et al. https://doi.org/10.1088/1755-1315/989/1/012018
58. Flood Double Frequency Analysis: 2D-Archimedean Copulas vs Bivariate Probability Distributions G. Tsakiris et al. https://doi.org/10.1007/s40710-015-0078-2
59. Fluvial deposits of the Ahr river (western Germany) reveal recurring high‐magnitude flood events over the last 1,500 years C. Zielhofer et al. https://doi.org/10.1002/esp.70219
60. Spatio-temporal evolution characteristics and driving mechanisms of waterlogging in urban agglomeration from multi-scale perspective: A case study of the Guangdong-Hong Kong-Macao Greater Bay Area, China T. Xu et al. https://doi.org/10.1016/j.jenvman.2024.122109
61. Flood Risk Analysis and Assessment, Applications and Uncertainties: A Bibliometric Review A. Díez-Herrero & J. Garrote https://doi.org/10.3390/w12072050
62. The Value of Urban Flood Modeling B. Rosenzweig et al. https://doi.org/10.1029/2020EF001739
63. Is every flood rough on built environment? Flood fragility and vulnerability modeling for residential buildings S. Gautam et al. https://doi.org/10.1016/j.jhydrol.2026.136215
64. Comparing Performance of ANN and SVM Methods for Regional Flood Frequency Analysis in South-East Australia A. Zalnezhad et al. https://doi.org/10.3390/w14203323
65. 3-D hydrodynamic modelling of flood impacts on a building and indoor flooding processes B. Gems et al. https://doi.org/10.5194/nhess-16-1351-2016
66. A systematic review of agent-based model for flood risk management and assessment using the ODD protocol A. Anshuka et al. https://doi.org/10.1007/s11069-022-05286-y
67. Assessing flash flood vulnerability using a multi-vulnerability approach K. Karagiorgos et al. https://doi.org/10.1051/e3sconf/20160708004
68. A rapid flood inundation model for hazard mapping based on least squares support vector machine regression M. Bermúdez et al. https://doi.org/10.1111/jfr3.12522
69. 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
70. Research on the flood drainage rights allocation method incorporating the dynamic response of floods to climate change K. Zhang et al. https://doi.org/10.1016/j.ejrh.2026.103186
71. Assessment of Rainstorm Waterlogging Disaster Risk in Rapidly Urbanizing Areas Based on Land Use Scenario Simulation: A Case Study of Jiangqiao Town in Shanghai, China H. Xu et al. https://doi.org/10.3390/land13071088
72. Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms F. Parvin et al. https://doi.org/10.1007/s00704-022-04068-7
73. How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus D. Fernández-Nóvoa et al. https://doi.org/10.5194/nhess-24-609-2024
74. Hydrological and Hydro-Meteorological Extremes and Related Risk and Uncertainty A. Loukas et al. https://doi.org/10.3390/w13030377
75. A Unified index of water resources systems vulnerability assessment – Translating the theoretical approach into a simple tool to assess climate change Impact: Case study in Limpopo River Basin, Africa M. El-Mahdy https://doi.org/10.1016/j.asej.2021.101687
76. Large-scale flood risk assessment in data-scarce areas: an application to Central Asia P. Ceresa et al. https://doi.org/10.5194/nhess-25-403-2025
77. Application of Delaunay adaptive mesh refinement in flood risk assessment of multi-bridge system with short distance J. Lin et al. https://doi.org/10.1007/s13201-024-02196-1
78. Rising Lake Levels as a Distinct Flood Hazard: An Integrated Risk Assessment Framework for Semi-Arid Inland Lake Basins N. Kiplangat et al. https://doi.org/10.3390/w18151887
79. Climate Induced Factors Affecting Income Diversification in Flood-Prone Areas of Punjab, Pakistan: An Application of Income Diversification Herfindahl Index A. Naz et al. https://doi.org/10.61506/02.00244
80. The Delphi method to identify attributes for a valuation approach for residential property exposed to flood risk S. Zulkarnain & M. Razali https://doi.org/10.1108/PM-10-2020-0067
81. Flood Hazard Assessment in Data-Scarce Watersheds Using Model Coupling, Event Sampling, and Survey Data J. Hurtado-Pidal et al. https://doi.org/10.3390/w12102768
82. A Novel Framework for Urban Flood damage Assessment F. Yavari et al. https://doi.org/10.1007/s11269-022-03122-3
83. Integration of HEC-RAS and HEC-HMS with GIS in Flood Modeling and Flood Hazard Mapping İ. Peker et al. https://doi.org/10.3390/su16031226
84. Temporal development of flood risk considering settlement dynamics and local flood protection measures on catchment scale: an Austrian case study S. Achleitner et al. https://doi.org/10.1080/15715124.2016.1167061
85. Development of Early Warning Systems and Structural-Non-Structural Strategies for Flood Management in Urban Industrial Area . Ashruri et al. https://doi.org/10.70211/ijesi.v2i1.196
86. Flood risk assessment in the Kosi megafan using multi-criteria decision analysis: A hydro-geomorphic approach K. Mishra & R. Sinha https://doi.org/10.1016/j.geomorph.2019.106861
87. Scenario-based approach for emergency operational response: Implications for reservoir management decisions Y. Jiang et al. https://doi.org/10.1016/j.ijdrr.2022.103192
88. 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
89. Combining SAR and Optical Earth Observation with Hydraulic Simulation for Flood Mapping and Impact Assessment E. Psomiadis et al. https://doi.org/10.3390/rs12233980
90. Climate change vulnerability and multidimensional poverty in flood prone rural areas of Punjab, Pakistan: an application of multidimensional poverty index and livelihood vulnerability index D. Ahmad et al. https://doi.org/10.1007/s10668-023-04207-8
91. Developing reliable urban flood hazard mapping from LiDAR data J. Bodoque et al. https://doi.org/10.1016/j.jhydrol.2022.128975
92. Assessing inland excess water risk in Kanjiza (Serbia) I. Nađ et al. https://doi.org/10.37040/geografie2018123020141
93. Quantifying Sediment Deposition Volume in Vegetated Areas with UAV Data S. Emtehani et al. https://doi.org/10.3390/rs13122391
94. A review on flood risk assessment using multicriteria decision making technique S. Abdulrahman & J. Bwambale https://doi.org/10.1002/wwp2.12058
95. 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
96. Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata L. Liu et al. https://doi.org/10.5194/nhess-15-381-2015
97. Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index M. Preisser et al. https://doi.org/10.5194/hess-26-3941-2022
98. State-of-the-art hydraulic modelling: a comprehensive review of HEC-RAS for 1D and 2D applications J. Gupta et al. https://doi.org/10.1080/02626667.2025.2581862
99. Tracing the Urbanisation Factors for Flash Flood Occurrences in Secondary Tanzanian Cities A. Namangaya https://doi.org/10.4236/cus.2025.134020
100. Flood Disaster Risk Assessment in Wuhan City Based on GIS Analysis and Indicator Ranking Using Random Forest J. Wu & X. Jiang https://doi.org/10.3390/buildings14051370
101. 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
102. Climate change effects on riverbank erosion Bait community flood-prone area of Punjab, Pakistan: an application of livelihood vulnerability index D. Ahmad et al. https://doi.org/10.1007/s10668-022-02440-1
103. Toponyms: a neglected asset within the water framework and flood directives implementation process; the case study of Greece C. Skoulikaris https://doi.org/10.1007/s11600-022-00962-w
104. Flood Mapping from Dam Break Due to Peak Inflow: A Coupled Rainfall–Runoff and Hydraulic Models Approach M. Tedla et al. https://doi.org/10.3390/hydrology8020089
105. Flood hazard analysis and risk assessment using remote sensing, GIS, and AHP techniques: a case study of the Gidabo Watershed, main Ethiopian Rift, Ethiopia D. Diriba et al. https://doi.org/10.1080/19475705.2024.2361813
106. A quantitative analysis of research trends in flood hazard assessment W. Zhu et al. https://doi.org/10.1007/s00477-022-02302-2
107. Quantitative flood hazard assessment methods: A review A. Maranzoni et al. https://doi.org/10.1111/jfr3.12855
108. 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
109. Improved Dynamic Programming for Reservoir Flood Control Operation T. Zhao et al. https://doi.org/10.1007/s11269-017-1599-4
110. 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
111. Assessing the impact of flood inundation dynamics on an urban environment P. Gao et al. https://doi.org/10.1007/s11069-021-04868-6
112. Integration of UH SUH, HEC-RAS, and GIS in Flood Mitigation with Flood Forecasting and Early Warning System for Gilireng Watershed, Indonesia M. Mustamin et al. https://doi.org/10.3390/earth5030015
113. Flood inundation modeling and hazard assessment in Lower Ping River Basin using MIKE FLOOD H. Tansar et al. https://doi.org/10.1007/s12517-020-05891-w
114. Application of Remote-Sensing-Based Hydraulic Model and Hydrological Model in Flood Simulation C. Xu et al. https://doi.org/10.3390/su14148576
115. Influencing Factors and Risk Assessment of Precipitation-Induced Flooding in Zhengzhou, China, Based on Random Forest and XGBoost Algorithms X. Liu et al. https://doi.org/10.3390/ijerph192416544
116. Stable Improved Dynamic Programming Method: An Efficient and Accurate Method for Optimization of Reservoir Flood Control Operation F. Chai et al. https://doi.org/10.1007/s11269-023-03622-w
117. Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt B. El-Haddad et al. https://doi.org/10.1007/s11069-020-04296-y
118. Community flood vulnerability and risk assessment: An empirical predictive modeling approach Y. Wang & A. Sebastian https://doi.org/10.1111/jfr3.12739
119. Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Pakistan M. Waleed & M. Sajjad https://doi.org/10.1111/jfr3.13047
120. Satellite Video Remote Sensing for Flood Model Validation C. Masafu & R. Williams https://doi.org/10.1029/2023WR034545
121. Harnessing social sensing for real-time flood event reconstruction: A digital autopsy of the 2024 Valencia DANA J. Giner Pérez de Lucia et al. https://doi.org/10.1016/j.ijdrr.2025.105966
122. Analysis of flood modeling through innovative geomatic methods S. Zazo et al. https://doi.org/10.1016/j.jhydrol.2015.03.011
123. Flood Modeling of Ayamama River Watershed in Istanbul, Turkey S. Gülbaz et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001730
124. Evaluation of Design Storms and Critical Rainfall Durations for Flood Prediction in Partially Urbanized Catchments N. Krvavica & J. Rubinić https://doi.org/10.3390/w12072044
125. Flood Depth-Damage Functions for Built Environment A. Pistrika et al. https://doi.org/10.1007/s40710-014-0038-2
126. Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire) J. Danumah et al. https://doi.org/10.1186/s40677-016-0044-y
127. Regional-scale evaluation of 14 satellite-based precipitation products in characterising extreme events and delineating rainfall thresholds for flood hazards G. Moura Ramos Filho et al. https://doi.org/10.1016/j.atmosres.2022.106259
128. New hybrid method for vulnerability assessment in floodplain areas exposed to dam break M. Nekooie & S. Gholizadeh https://doi.org/10.1002/eng2.12664
129. Evaluation and attribution of flood disaster loss risk based on Bayesian network structure learning: a case study of the urban agglomeration in the middle Yangtze River Y. Zhixiang et al. https://doi.org/10.1007/s11069-026-08283-7
130. Spatial Distribution of Flood Incidents Along Urban Overland Flow-Paths S. Gaitan et al. https://doi.org/10.1007/s11269-015-1006-y
131. Improved Framework for Assessing Vulnerability to Different Types of Urban Floods Q. Yang et al. https://doi.org/10.3390/su12187668
132. Ranking Sub-Watersheds for Flood Hazard Mapping: A Multi-Criteria Decision-Making Approach N. Nguyen et al. https://doi.org/10.3390/w15112128
133. Flood hazard mapping methods: A review R. Mudashiru et al. https://doi.org/10.1016/j.jhydrol.2021.126846
134. Impacts of riverbank erosion and flooding on communities along the Indus River, Pakistan D. Ahmad et al. https://doi.org/10.1007/s11069-023-06216-2
135. Flood risk assessment by analysing flood frequency and probable inundation maps for Ishwardi Upazila, Pabna, Bangladesh K. Kaif et al. https://doi.org/10.2166/wpt.2025.084
136. Predicting Urban Waterlogging Risks by Regression Models and Internet Open-Data Sources D. Tran et al. https://doi.org/10.3390/w12030879
137. A Coupled Hydrologic–Hydraulic Model (XAJ–HiPIMS) for Flood Simulation Y. Wang & X. Yang https://doi.org/10.3390/w12051288
138. Feature Papers of Water Resources Management, Policy and Governance A. Loukas & L. Garrote https://doi.org/10.3390/w14142191
139. 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
140. Flood Risk Zoning Based on Hydraulic Modelling and Comprehensive Risk 亚. 李 https://doi.org/10.12677/JWRR.2022.116064
141. Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach G. Papaioannou et al. https://doi.org/10.1007/s11069-016-2382-1
142. Quantitative and semi-quantitative methods in flood hazard/susceptibility mapping: a review R. Mudashiru et al. https://doi.org/10.1007/s12517-021-07263-4
143. 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
144. Operation of Gate-Controlled Irrigation System Using HEC-RAS 2D for Spring Flood Hazard Reduction F. Akiyanova et al. https://doi.org/10.3390/computation11020027