134 citations as recorded by crossref.

1. A GIS–MCDM–Based Framework for Flood Risk Scenario in Central Lisbon G. Mascheri et al. https://doi.org/10.1080/15583058.2026.2632909
2. 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
3. Review article: A systematic review and future prospects of flood vulnerability indices L. Moreira et al. https://doi.org/10.5194/nhess-21-1513-2021
4. Dimensions and drivers of social vulnerability to flood risk in Manafwa catchment, Eastern Uganda G. Erima et al. https://doi.org/10.1080/23311886.2025.2493353
5. Spatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model M. de Brito et al. https://doi.org/10.1080/13658816.2019.1599125
6. Assessing Urban Community Resilience to Flood Using a Hybrid Multi-Criteria Decision-Making Approach: A Case of Guwahati City, Assam, India J. Jain et al. https://doi.org/10.1007/s41748-024-00534-6
7. Forest Fire Susceptibility and Risk Mapping Using Social/Infrastructural Vulnerability and Environmental Variables O. Ghorbanzadeh et al. https://doi.org/10.3390/fire2030050
8. A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods K. Khosravi et al. https://doi.org/10.1016/j.jhydrol.2019.03.073
9. Utilising Twitter for disaster management of fire events: steps towards efficient automation S. Arapostathis https://doi.org/10.1007/s12517-021-06768-2
10. La pertinence des indices de vulnérabilité aux aléas naturels pour les gestionnaires : une approche mixte de la revue de littérature B. Lesouëf et al. https://doi.org/10.4000/11pd3
11. Evidence-based disaster risk assessment in Southeast Asian countries T. Nakasu & C. Amrapala https://doi.org/10.1016/j.nhres.2023.04.001
12. Assessment of social vulnerability in terms of natural hazards in Türkiye based on entropy method M. Yükseler & G. Tenikler https://doi.org/10.1007/s11069-025-07917-6
13. Addressing social and institutional vulnerabilities in the context of flood risk mitigation P. Alves et al. https://doi.org/10.1111/jfr3.12839
14. Mapping flood vulnerability using an analytical hierarchy process (AHP) in the Metropolis of Mumbai R. Mann & A. Gupta https://doi.org/10.1007/s10661-023-12141-5
15. Assessment of flood vulnerability of riverine island community using a composite flood vulnerability index M. Sarker et al. https://doi.org/10.1016/j.ijdrr.2022.103306
16. Spatial analysis techniques for assessing groundwater vulnerability: a strategic approach to proactive conservation and mitigation strategies Y. Xiong et al. https://doi.org/10.1007/s12665-024-11930-6
17. Comprehensive analysis of data aggregation techniques for flood vulnerability and bivariate flood risk mapping of a coastal urban floodplain V. Nandam & P. Patel https://doi.org/10.1016/j.ijdrr.2025.105330
18. An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events M. Abdullah et al. https://doi.org/10.3390/w13101358
19. Integrating Indigenous Knowledge and Geographical Information System in mapping flood vulnerability in informal settlements in a South African context: a critical review G. Membele et al. https://doi.org/10.1080/03736245.2021.1973907
20. The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa J. Lienert et al. https://doi.org/10.5194/hess-26-2899-2022
21. Frameworks for climate risk management (CRM) in cultural heritage: a systematic review of the state of the art O. Adetunji & J. MacKee https://doi.org/10.1108/JCHMSD-05-2022-0076
22. Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP S. Moslem et al. https://doi.org/10.3390/su11123271
23. Noise vulnerability assessment using an integrated approach of multi-criteria decision-making model and geospatial techniques S. Pahari et al. https://doi.org/10.1007/s13762-023-05331-8
24. Increasing flood risk awareness and warning readiness by participation – But who understands what under ‘participation’? A. Fekete et al. https://doi.org/10.1016/j.ijdrr.2021.102157
25. Environmental Inequalities in Flood Exposure: A Matter of Scale C. Poussard et al. https://doi.org/10.3389/frwa.2021.633046
26. Flood Risk Quantification and Mapping: An Integrated Vulnerability-Based Approach at the Local Scale in New Brunswick, Canada F. Duhamel et al. https://doi.org/10.2139/ssrn.4116274
27. A Sustainable Water Resources Management Assessment Framework (SWRM-AF) for Arid and Semi-Arid Regions—Part 2: Refining the Conceptual Framework Using the Delphi Technique B. Alsaeed et al. https://doi.org/10.3390/su16114463
28. Prioritizing risk for cultural heritage through social value: a participatory framework C. Arrighi et al. https://doi.org/10.1016/j.ijdrr.2025.105627
29. Refugees and host communities’ vulnerability to climate and disaster risks in Rwanda N. Dampha et al. https://doi.org/10.3389/fclim.2025.1465223
30. Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach L. Moreira et al. https://doi.org/10.3389/frwa.2023.970469
31. Prioritizing flood vulnerability hotspots: an integrated AHP and TOPSIS framework, case study of El Bayadh city, western Algeria M. Boultif & M. Hafnaoui https://doi.org/10.1016/j.jafrearsci.2026.106166
32. Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam C. Luu et al. https://doi.org/10.1007/s11069-021-04821-7
33. Gazing into the Crystal Ball: A Review of Futures Analysis to Promote Environmental Justice in the UK Water Industry B. Bowman et al. https://doi.org/10.3390/su14084586
34. Flood vulnerability analysis using different aggregation frameworks across watersheds of Ardabil province, northwestern Iran E. Azizi et al. https://doi.org/10.1016/j.ijdrr.2023.103680
35. A Flood Risk Assessment of Quang Nam, Vietnam Using Spatial Multicriteria Decision Analysis C. Luu & J. Von Meding https://doi.org/10.3390/w10040461
36. Machine learning and climate scenario integration reveals controls on flood susceptibility in the Taquari-Antas Basin, Brazil E. Alcântara et al. https://doi.org/10.1007/s40808-025-02585-8
37. Assessing the multidimensional nature of flood and drought vulnerability index: A systematic review of literature R. Dhawale et al. https://doi.org/10.1016/j.ijdrr.2024.104764
38. Impacts of long lead-time flood forecasting on disaster response and society: insights from Nagano, Japan S. Nakamura et al. https://doi.org/10.3178/hrl.25-00002
39. Index-based mapping and assessment of flood vulnerability for climate adaptation at the neighborhood level: A case study of Santo Domingo, the Dominican Republic K. Valera & A. Sharifi https://doi.org/10.1016/j.ijdrr.2025.105362
40. A comprehensive approach for assessing social flood vulnerability and social flood risk: The case of Denmark M. Prall et al. https://doi.org/10.1016/j.ijdrr.2024.104686
41. Flood susceptibility mapping with ensemble machine learning: a case of Eastern Mediterranean basin, Türkiye H. Özdemir et al. https://doi.org/10.1007/s00477-023-02507-z
42. Adaptive decision support model for sustainable transport system using fuzzy AHP and dynamical Dijkstra simulations X. Ma et al. https://doi.org/10.3934/mbe.2022461
43. Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models A. Mohammadi et al. https://doi.org/10.1155/2020/4271376
44. Participatory multi-criteria methods for adaptation to climate change V. Baláž et al. https://doi.org/10.1007/s11027-021-09955-4
45. Empirical evidence of declining global vulnerability to climate-related hazards G. Formetta & L. Feyen https://doi.org/10.1016/j.gloenvcha.2019.05.004
46. National-scale flood risk assessment using GIS and remote sensing-based hybridized deep neural network and fuzzy analytic hierarchy process models: a case of Bangladesh Z. Siam et al. https://doi.org/10.1080/10106049.2022.2063411
47. Participatory flood vulnerability assessment in the Teesta floodplain of Bangladesh using GIS-based AHP and frequency ratio models M. Monir et al. https://doi.org/10.1016/j.nxsust.2026.100251
48. Zoning of degraded pastures for wind farms in Brazil M. Bertolino Motta et al. https://doi.org/10.1016/j.rineng.2026.109638
49. Vulnerability of Fishery-Based Livelihoods to Climate Change in Coastal Communities in Central Vietnam P. Huynh et al. https://doi.org/10.1080/08920753.2021.1899927
50. Post-fire environmental assessment: a participatory multi-criteria approach for estimating soil erosion risk and vegetation recovery potential I. Cristal et al. https://doi.org/10.1016/j.mex.2025.103647
51. To which extent are socio-hydrology studies truly integrative? The case of natural hazards and disaster research F. Vanelli et al. https://doi.org/10.5194/hess-26-2301-2022
52. A GIS-Based Flood Risk Assessment Using the Decision-Making Trial and Evaluation Laboratory Approach at a Regional Scale E. Efraimidou & M. Spiliotis https://doi.org/10.1007/s40710-024-00683-w
53. Predicting Future Urban Flood Risk Using Land Change and Hydraulic Modeling in a River Watershed in the Central Province of Vietnam H. Nguyen et al. https://doi.org/10.3390/rs13020262
54. Fostering sustainable urban mobility via stakeholder engagement: A novel analytic hierarchy process and half-quadratic programming S. Moslem et al. https://doi.org/10.1016/j.rtbm.2025.101291
55. Integrated flood vulnerability assessment of villages in the Waimanu River Catchment in the South Pacific: the case of Viti Levu, Fiji S. Begg et al. https://doi.org/10.1007/s10113-021-01824-9
56. Flood risk quantification and mapping: An integrated vulnerability-based approach at the local scale in New Brunswick, Canada F. Duhamel et al. https://doi.org/10.1016/j.ijdrr.2022.103403
57. Unprecedented flooding in Porto Alegre Metropolitan Region (Southern Brazil) in May 2024: Causes, risks, and impacts J. Mantovani et al. https://doi.org/10.1016/j.jsames.2025.105533
58. Decision support system for evaluating park & ride system using the analytic hierarchy process (AHP) method J. Ortega & S. Moslem https://doi.org/10.1080/21650020.2023.2194362
59. District flood vulnerability assessment using analytic hierarchy process (AHP) with historical flood events in Bhutan K. Tempa & G. Schumann https://doi.org/10.1371/journal.pone.0270467
60. Application of a Novel Hybrid Method for Flood Susceptibility Mapping with Satellite Images: A Case Study of Seoul, Korea R. Narimani et al. https://doi.org/10.3390/rs13142786
61. Risk management using a flood vulnerability index in the Mazovia Province, Poland M. Borowska-Stefańska https://doi.org/10.1080/17477891.2024.2403468
62. How geographical factors and decision-makers' perceptions influence the prioritization of ecosystem services: Analysis in the Spanish rice field areas in RAMSAR Mediterranean wetlands D. Jorge-García et al. https://doi.org/10.1016/j.scitotenv.2023.161823
63. Integrating Analytical Hierarchy Process and Machine Learning for Enhancing Flood Hazard Mapping N. Mangukiya et al. https://doi.org/10.1061/NHREFO.NHENG-2188
64. Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods H. Nguyen et al. https://doi.org/10.1080/10106049.2022.2071477
65. Flood hazard assessment and zonal prioritization through an LR-bipolar triangular fuzzy hybrid decision-making approach A. Paulose & F. Augustin https://doi.org/10.3389/frai.2026.1817216
66. An Integrated Multi Criteria Decision Making Model for Evaluating Park-and-Ride Facility Location Issue: A Case Study for Cuenca City in Ecuador J. Ortega et al. https://doi.org/10.3390/su13137461
67. Analysis of potential nature-based solutions for the Mun River Basin, Thailand J. Penny et al. https://doi.org/10.2166/wst.2023.050
68. Regional flood risk grading assessment considering indicator interactions among hazard, exposure, and vulnerability: A novel FlowSort with DBSCAN Y. Tu et al. https://doi.org/10.1016/j.jhydrol.2024.131587
69. Assessing Urban Vulnerability Through a Multi-Hazard Framework with Independent Events Modelling G. Mascheri et al. https://doi.org/10.3390/app16105154
70. A comparative assessment of multi-criteria decision-making analysis and machine learning methods for flood susceptibility mapping and socio-economic impacts on flood risk in Abela-Abaya floodplain of Ethiopia M. Edamo et al. https://doi.org/10.1016/j.envc.2022.100629
71. Flood anticipation, reality, and uncertainty, the 2019 flood in Khuzestan, Iran H. Darabi et al. https://doi.org/10.1007/s11069-022-05305-y
72. A systematic framework for assessing social vulnerability to flood for integrated flood risk management: A case study in Metro Manila, Philippines J. Dulawan et al. https://doi.org/10.1016/j.ijdrr.2024.104778
73. 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
74. Development of risk maps for flood, landslide, and soil erosion using machine learning model N. Javidan et al. https://doi.org/10.1007/s11069-024-06670-6
75. Examining flood vulnerability mapping approaches in developing countries: A scoping review G. Membele et al. https://doi.org/10.1016/j.ijdrr.2021.102766
76. Towards a flood vulnerability assessment of watershed using integration of decision-making trial and evaluation laboratory, analytical network process, and fuzzy theories F. Hosseini et al. https://doi.org/10.1007/s11356-021-14534-w
77. Participatory Vulnerability Reduction (PVR): an urban community-based approach for earthquake management M. Rahman et al. https://doi.org/10.1007/s11069-018-3364-2
78. Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul Ö. Ekmekcioğlu et al. https://doi.org/10.1016/j.scs.2022.103759
79. Surveying the surveyors to address risk perception and adaptive-behaviour cross-study comparability S. Rufat et al. https://doi.org/10.5194/nhess-22-2655-2022
80. Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen A. Al-Aizari et al. https://doi.org/10.3390/rs14164050
81. Assessment of Three GPM IMERG Products for GIS-Based Tropical Flood Hazard Mapping Using Analytical Hierarchy Process N. Syakira et al. https://doi.org/10.3390/w15122195
82. Application of Reliability Analysis for Risk Ranking in a Levee Reconstruction Project M. Kovačević et al. https://doi.org/10.3390/su12041404
83. Using local and indigenous knowledge in selecting indicators for mapping flood vulnerability in informal settlement contexts G. Membele et al. https://doi.org/10.1016/j.ijdrr.2022.102836
84. Small Island City Flood Risk Assessment: The Case of Kingston, Jamaica A. Rivosecchi & M. Singh https://doi.org/10.3390/w15223936
85. Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model O. Ghorbanzadeh et al. https://doi.org/10.3390/su11010009
86. Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier H. Shahabi et al. https://doi.org/10.3390/rs12020266
87. Topological conceptual framework for multicriteria inventory classification criteria selection: process dynamics in a steel manufacturing case F. Theunissen et al. https://doi.org/10.1080/01605682.2026.2671230
88. Spatial multicriteria approach to water scarcity vulnerability and analysis of criteria weighting techniques: a case study in São Francisco River, Brazil M. de Araújo et al. https://doi.org/10.1007/s10708-022-10676-7
89. Flood Perception from Local Perspective of Rural Community vs. Geomorphological Control of Fluvial Processes in Large Alluvial Valley (the Middle Vistula River, Poland) D. Krasiewicz & G. Wierzbicki https://doi.org/10.3390/hydrology10100191
90. Community-driven natural hazard and physical vulnerability assessment in a disaster-prone urban neighborhood A. Builes-Jaramillo et al. https://doi.org/10.5194/nhess-25-4451-2025
91. A Methodology for Automatic Acquisition of Flood‐event Management Information From Social Media: the Flood in Messinia, South Greece, 2016 S. Arapostathis https://doi.org/10.1007/s10796-021-10105-z
92. Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran S. Janizadeh et al. https://doi.org/10.3390/su11195426
93. Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain) G. Krsnik et al. https://doi.org/10.1016/j.envc.2024.100959
94. Big Data in Criteria Selection and Identification in Managing Flood Disaster Events Based on Macro Domain PESTEL Analysis: Case Study of Malaysia Adaptation Index M. Abdullah et al. https://doi.org/10.3390/bdcc6010025
95. 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
96. Disaster risk assessment in Asian countries: a novel deductive approach T. Nakasu https://doi.org/10.1007/s44274-025-00228-4
97. Testing the effect of ecosystem service and land classification on global values of forested watershed ecosystem services K. Mir & R. Brouwer https://doi.org/10.1016/j.forpol.2025.103667
98. An Evaluation of Factors Influencing the Resilience of Flood-Affected Communities in China W. Xu et al. https://doi.org/10.3390/hydrology10020035
99. Social Acceptability of Flood Management Strategies under Climate Change Using Contingent Valuation Method (CVM) F. Maghsood et al. https://doi.org/10.3390/su11185053
100. Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview M. de Brito et al. https://doi.org/10.1029/2023EF003906
101. A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level L. Gupta & J. Dixit https://doi.org/10.1080/10106049.2022.2060329
102. Assessing Nature-based solutions in the face of urban vulnerabilities: A multi-criteria decision approach D. Camacho-Caballero et al. https://doi.org/10.1016/j.scs.2024.105257
103. Characterizing the level of urban Flood vulnerability using the social-ecological-technological systems framework, the case of Adama city, Ethiopia B. Leta & D. Adugna https://doi.org/10.1016/j.heliyon.2023.e20723
104. Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling M. Panahi et al. https://doi.org/10.1016/j.catena.2020.105114
105. An indicator-based approach to assess social vulnerability of coastal areas to sea-level rise and flooding: A case study of Bandar Abbas city, Iran V. Hadipour et al. https://doi.org/10.1016/j.ocecoaman.2019.105077
106. 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
107. Enhancing post‐fire decision‐making: a framework for rapid wildfire impact assessment and evidence‐based management planning I. Cristal et al. https://doi.org/10.1111/rec.70336
108. Effects of Different Normalization, Aggregation, and Classification Methods on the Construction of Flood Vulnerability Indexes L. Moreira et al. https://doi.org/10.3390/w13010098
109. Regional clusters of vulnerability show the need for transboundary cooperation J. Birkmann et al. https://doi.org/10.1088/1748-9326/ac1f43
110. Comparative analysis between AHP and ANP in prioritization of ecosystem services - A case study in a rice field area raised in the Guadalquivir marshes (Spain) D. Jorge-García & V. Estruch-Guitart https://doi.org/10.1016/j.ecoinf.2022.101739
111. Assessing human vulnerability to urban flood hazard using the analytic hierarchy process and geographic information system T. Sarmah et al. https://doi.org/10.1016/j.ijdrr.2020.101659
112. Flood Exposure and Social Vulnerability Analysis in Rural Areas of Developing Countries: An Empirical Study of Charsadda District, Pakistan A. Hamidi et al. https://doi.org/10.3390/w14071176
113. Assessing Vulnerability in Flood Prone Areas Using Analytic Hierarchy Process—Group Decision Making and Geographic Information System: A Case Study in Portugal S. Mourato et al. https://doi.org/10.3390/app13084915
114. Application of analytic network process (ANP), local and indigenous knowledge in mapping flood vulnerability in an informal settlement G. Membele et al. https://doi.org/10.1007/s11069-023-06313-2
115. Exploring the sample size and replications scenarios effect on spatial prediction of flood, using MARS and MaxEnt methods case study: saliantape catchment, Golestan, Iran A. Rajabi et al. https://doi.org/10.1007/s11069-021-04860-0
116. Human Settlement Resilience Zoning and Optimizing Strategies for River-Network Cities under Flood Risk Management Objectives: Taking Yueyang City as an Example F. Yang et al. https://doi.org/10.3390/su14159595
117. Bottom-up approach for flood-risk management in developing countries: a case study in the Gianh River watershed of Vietnam H. Nguyen et al. https://doi.org/10.1007/s11069-023-06098-4
118. A systematic review with bibliometric analysis of different approaches and methodologies for undertaking flood vulnerability research T. Nguyen et al. https://doi.org/10.1007/s40899-023-00865-8
119. Assessing flood risks in the Taquari-Antas Basin (Southeast Brazil) during the September 2023 extreme rainfall surge J. Mantovani et al. https://doi.org/10.1038/s44304-024-00009-8
120. Engaging Stakeholders in Extraction Problems of the Chilean Mining Industry through a Combined Social Network Analysis‐Analytic Network Process Approach R. Poveda-Bautista et al. https://doi.org/10.1155/2022/9096744
121. Flood vulnerability assessment of Siddheswari River basin, Eastern India: a GIS-based multi-criteria decision-making approach H. Sutradhar https://doi.org/10.1007/s10708-023-10948-w
122. Flash flood risk mapping using analytic hierarchy process and machine learning: case of Souk-Ahras City, Northeastern Algeria M. Elhadi et al. https://doi.org/10.1007/s41207-025-00885-0
123. Geophysical and Societal Dimensions of Floods in Manitoba, Canada: A Social Vulnerability Assessment of the Rural Municipality of St. Andrews C. Haque et al. https://doi.org/10.3390/geosciences12020056
124. Riverbank erosion vulnerability assessment and coping strategies: A case study of the riparian communities in the Mekong River Basin in Cambodia T. Tha et al. https://doi.org/10.1016/j.heliyon.2024.e25418
125. A multi-criteria approach for assessing urban flood resilience in Tehran, Iran M. Moghadas et al. https://doi.org/10.1016/j.ijdrr.2019.101069
126. An integrated socio-environmental framework for mapping hazard-specific vulnerability and exposure in urban areas P. Alves et al. https://doi.org/10.1080/1573062X.2021.1913505
127. Risk assessment of river bank failure due to floods in Jamuna, Ganges and Padma Rivers in Bangladesh M. Islam & T. Tingsanchali https://doi.org/10.1016/j.ijdrr.2024.104272
128. Analyzing vulnerability of communities to flood using composite vulnerability index: evidence from Bhagirathi Sub-basin, India S. Rehman et al. https://doi.org/10.1007/s11069-023-06170-z
129. Integrated assessment of flood and drought hazards for current and future climate in a tributary of the Mekong river basin J. Penny et al. https://doi.org/10.2166/wcc.2023.252
130. Using Best Worst Method for Sustainable Park and Ride Facility Location J. Ortega et al. https://doi.org/10.3390/su122310083
131. A multi-dimensional framework for improving flood risk assessment: Application in the Han River Basin, China J. Yu et al. https://doi.org/10.1016/j.ejrh.2023.101434
132. Identifying obstacles encountered at different stages of the disaster management cycle (DMC) and its implications for rural flooding in Pakistan A. Shah et al. https://doi.org/10.3389/fenvs.2023.1088126
133. Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile https://doi.org/10.3390/hydrology9030050
134. Current flood risk management practices in Ghana: Gaps and opportunities for improving resilience A. Almoradie et al. https://doi.org/10.1111/jfr3.12664