120 citations as recorded by crossref.

1. A rainfall threshold‐based approach to early warnings in urban data‐scarce regions: A case study of pluvial flooding in Alexandria, Egypt A. Young et al.
2. Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al.
3. Integrating Community Science Research and Space‐Time Mapping to Determine Depth to Groundwater in a Remote Rural Region A. Gómez et al.
4. Automatic water-level class estimation from repeated crowd-based photos of streams Z. Wang et al.
5. Enhancing Building Services in Higher Education Campuses through Participatory Science M. Itair et al.
6. Predicting pluvial flood impacts in data-scarce urban environments: Uncertainty and interplay between rainfall inputs and conceptual drainage loss models P. Costabile et al.
7. Flood modelling using synthesised citizen science urban streamflow observations M. Fava et al.
8. Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al.
9. Enhancing gridded climate products with third party weather data in a rainfall study from Western Australia M. Li & Q. Shao
10. Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges Y. Feng et al.
11. How can flood modelling advance in the “big data” age? S. Maskey
12. Integrated community-based approaches to urban pluvial flooding research, trends and future directions: A review K. Azizi et al.
13. The Critical Importance of Citizen Science Data A. de Sherbinin et al.
14. A method to reconstruct flood scenarios using field interviews and hydrodynamic modelling: application to the 2017 Suleja and Tafa, Nigeria flood M. Malgwi et al.
15. Investigating pedestrian behavioral patterns under different floodwater conditions: A video analysis on real flood evacuations E. Quagliarini et al.
16. Analysis of Mumbai floods in recent years with crowdsourced data S. Tripathy et al.
17. The value of citizen science for flood risk reduction: cost–benefit analysis of a citizen observatory in the Brenta-Bacchiglione catchment M. Ferri et al.
18. The evaluation method of college teachers’ morality considering intelligent emotion recognition and data mining algorithm X. Hu
19. Capturing Flood Risk Perception via Sketch Maps C. Klonner et al.
20. State of continental discharge estimation and modelling: challenges and opportunities for Africa K. Akpoti et al.
21. Flood Hazard Mapping and Flood Preparedness Literacy of the Elderly Population Residing in Bangkok, Thailand C. Sawangnate et al.
22. Supporting participative pre‐flood risk reduction in a UNESCO biosphere M. O'Grady et al.
23. The Top-Viewed Cryosphere Videos on YouTube: An Overview A. Emmer et al.
24. Farmers’ social networks and adoption of disaster risk reduction measures: An experimental study in Uganda R. Mutyebere et al.
25. Geoinformation Harvesting From Social Media Data: A community remote sensing approach X. Zhu et al.
26. Physics-Guided Deep Learning for Spatiotemporal Evolution of Urban Pluvial Flooding H. Woo et al.
27. Social and geographical disparities in Twitter use during Hurricane Harvey L. Zou et al.
28. Citizens’ Campaigns for Environmental Water Monitoring: Lessons From Field Experiments T. Assumpcao et al.
29. Citizen Science and the Sustainable Development Goals: Building Social and Technical Capacity through Data Collection in the Upper Blue Nile Basin, Ethiopia G. Rigler et al.
30. Avaliação de Soluções de Baixo Impacto para Mitigação de Alagamentos em Áreas Urbanas Não Monitoradas G. Santos et al.
31. Pluvial flood risk and opportunities for resilience B. Rosenzweig et al.
32. A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK L. Waterman et al.
33. Evaluation of factors affecting the quality of citizen science rainfall data in Akaki catchment, Addis Ababa, Ethiopia H. Tedla et al.
34. A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya D. Shugar et al.
35. Introduction to section 2 X. Cai & Z. Zheng
36. Filling data gaps using citizen science for flood modeling in urbanized catchment of Akaki A. Alemu et al.
37. Assessment of the Susceptibility of Urban Flooding Using GIS with an Analytical Hierarchy Process in Hanoi, Vietnam H. Nguyen et al.
38. Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al.
39. Can the Quality of the Potential Flood Risk Maps be Evaluated? A Case Study of the Social Risks of Floods in Central Spain J. Garrote et al.
40. Citizen Scientists Contribute to Real-Time Monitoring of Lake Water Quality Using 3D Printed Mini Secchi Disks G. George et al.
41. Leveraging catchment scale automated novel data collection infrastructure to advance urban hydrologic-hydraulic modeling A. Shrestha et al.
42. Rapid high-resolution impact-based flood early warning is possible with RIM2D: a showcase for the 2023 pluvial flood in Braunschweig S. Khosh Bin Ghomash et al.
43. AI-Driven Climate Modeling: Validation and Uncertainty Mapping – Methodologies and Challenges F. Kayusi et al.
44. Cleanlet: a smart app for enhancing urban flood resilience through automated stormwater inlet management N. Adhikari & F. Montalto
45. Estimating the likelihood of roadway pluvial flood based on crowdsourced traffic data and depression-based DEM analysis A. Safaei-Moghadam et al.
46. Rapid Mapping for Simple Flood Mitigation Using Commercial Drone at Way Galih Village, Lampung, Indonesia A. Rohman & D. Prasetya
47. Investigating Pedestrian Behavioral Patterns Under Different Floodwater Conditions: A Video Analysis on Real Flood Evacuations E. Quagliarini et al.
48. Predictive multi-watershed flood monitoring using deep learning on integrated physical and social sensors data S. Dong et al.
49. Utilization of social media in floods assessment using data mining techniques Q. Khan et al.
50. Opportunities for crowdsourcing in urban flood monitoring A. Helmrich et al.
51. Quantifying Flood Water Levels Using Image-Based Volunteered Geographic Information Y. Lin et al.
52. Value of quality controlled citizen science data for rainfall-runoff characterization in a rapidly urbanizing catchment G. Kebede Mengistie et al.
53. Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities Z. Ma et al.
54. An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia M. Li et al.
55. Exploring the Emotional Factors in College English Classroom Teaching Based on Computer-Aided Model F. Fu & Q. Li
56. CNS: Application of Distributed Indexing Based on Large-Scale Graph Data in Legal Protection of Network Personal Information P. Han
57. Urban hydrological model (UHM) developed for an urban flash flood simulation and analysis of the flood intensity sensitivity to urbanization H. Hu et al.
58. An integrated socio-environmental framework for mapping hazard-specific vulnerability and exposure in urban areas P. Alves et al.
59. Computational socioeconomics J. Gao et al.
60. Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile
61. Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey Y. Feng et al.
62. Stochastic Modeling for Estimating Real-Time Inundation Depths at Roadside IoT Sensors Using the ANN-Derived Model S. Wu et al.
63. Anomalous human activity fluctuations from digital trace data signal flood inundation status H. Farahmand et al.
64. Participatory Mapping and Visualization of Local Knowledge: An Example from Eberbach, Germany C. Klonner et al.
65. Role of Artificial Intelligence in Disseminating Climate Information Services in Africa P. Chavula & F. Kayusi
66. Reconstituting past flood events: the contribution of citizen science B. Sy et al.
67. Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges F. Nardi et al.
68. Combining low-cost drone surveys and citizen science to identify flood-prone areas H. Bassanelli et al.
69. Opportunities and risks of disaster data from social media: a systematic review of incident information M. Wiegmann et al.
70. GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping A. Annis & F. Nardi
71. Citizen science-based WEAP modeling of water use impact on environmental flow in urbanized Big Akaki catchment, Ethiopia G. Mengistie et al.
72. A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding L. See
73. A Probabilistic, Parcel‐Level Inundation Prediction Tool for Medium‐Range Flood Forecasting in Large Lake Systems K. Semmendinger et al.
74. Hydrologic–hydraulic assessment of SUDS control capacity using different modeling approaches: a case study in Bogotá, Colombia A. Ortega Sandoval et al.
75. Blue and grey urban water footprints through citizens’ perception and time series analysis of Brazilian dynamics F. Souza et al.
76. Utilising social media data to evaluate urban flood impact in data scarce cities K. Guo et al.
77. Success factors for citizen science projects in water quality monitoring A. San Llorente Capdevila et al.
78. Citizen science flow – an assessment of simple streamflow measurement methods J. Davids et al.
79. Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al.
80. The Techno-politics of Crowdsourced Disaster Data in the Smart City E. Wolff & F. Muñoz
81. Floodplain reconstitution based on data collected via smartphones: a methodological approach to hydrological risk mapping A. Ribeiro et al.
82. Flood resilience through crowdsourced rainfall data collection: Growing engagement faces non-uniform spatial adoption A. Chen et al.
83. Evaluating terrain-based HAND-SRC flood mapping model in low-relief rural plains using high resolution topography and crowdsourced data H. Sabeh et al.
84. Analysing the value of environmental citizen-generated data: Complementarity and cost per observation L. Alfonso et al.
85. Testing the theoretical principles of citizen science in monitoring stream water levels through photo-trap frames A. Spasiano et al.
86. Participatory Framework for Urban Pluvial Flood Modeling in the Digital Twin Era S. Park et al.
87. Improving Hydrological Models With the Assimilation of Crowdsourced Data P. Avellaneda et al.
88. From Extreme Weather Events to ‘Cascading Vulnerabilities’: Participatory Flood Research Methodologies in Brazil During COVID-19 N. Calvillo et al.
89. Terrestrial and airborne laser scanning and 2-D modelling for 3-D flood hazard maps in urban areas: new opportunities and perspectives P. Costabile et al.
90. Identification of flood depth levels in urban waterlogging disaster caused by rainstorm using a CBAM-improved ResNet50 L. Wu et al.
91. The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models M. Drews et al.
92. Threshold-based flood early warning in an urbanizing catchment through multi-source data integration: Satellite and citizen science contribution H. Tedla et al.
93. The citizen-led information practices of ICT4D in rural communities of China: A mixed-method study L. Ye et al.
94. A simple framework for calibrating hydraulic flood inundation models using Crowd-sourced water levels A. Dasgupta et al.
95. Experimental and Numerical Study of the Effect of Model Geometric Distortion on Laboratory Modeling of Urban Flooding X. Li et al.
96. Multiscale Observation Product (MOP) for Temporal Flood Inundation Mapping of the 2015 Dallas Texas Flood E. Sava et al.
97. Collaborating With Communities: Citizen Science Flood Monitoring in Urban Informal Settlements E. Wolff et al.
98. Using social cartographies for the calibration of two-dimensional hydraulic flood models B. Alarcón et al.
99. Flood data platform governance: Identifying the technological and socio-technical approach(es) differences M. Fadmastuti et al.
100. The benefits and negative impacts of citizen science applications to water as experienced by participants and communities D. Walker et al.
101. Modelling support to citizen observatories for strategic Danube Delta planning: Sontea-Fortuna case study A. Venturini et al.
102. A Nationwide Flood Forecasting System for Saudi Arabia: Insights from the Jeddah 2022 Event G. Sofia et al.
103. Bridging modelled and lived flood risk: A participatory GIS approach to community-based flood vulnerability mapping in North Bengal, India S. Mandal et al.
104. High‐resolution urban flood model for risk mitigation validated with records collected by the affected community M. Re et al.
105. Analysis of Dynamic Influence Mechanism of Network Public Opinion Based on Simulation Feature Extraction Y. Zhang & Z. Cai
106. Floodability: A New Paradigm for Designing Urban Drainage and Achieving Sustainable Urban Growth G. La Loggia et al.
107. Utilization of traffic images for accurate and realtime flood depth measurement in complex urban environments J. Qin et al.
108. Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi
109. Invited perspectives: How machine learning will change flood risk and impact assessment D. Wagenaar et al.
110. The potential of proxy water level measurements for calibrating urban pluvial flood models M. Moy de Vitry & J. Leitão
111. The Role of Realistic Channel Geometry Representation in Hydrological Model Predictions J. Brackins et al.
112. Free Global DEMs and Flood Modelling—A Comparison Analysis for the January 2015 Flooding Event in Mocuba City (Mozambique) J. Garrote
113. Propagation of radar rainfall uncertainties into urban pluvial flood modeling during the North American monsoon A. Hjelmstad et al.
114. Crowdsourcing and interactive modelling for urban flood management E. Gebremedhin et al.
115. Exploring an Innovative Moral Education Cultivation Model in Higher Education through Neural Network Perspective: A Preliminary Study X. Shi
116. The promise of a “people-centred” approach to floods: Types of participation in the global literature of citizen science and community-based flood risk reduction in the context of the Sendai Framework E. Wolff
117. Temporary flood marks proposal: What we learned after losing the baroque artifact from Cracow, Poland R. Szczepanek et al.
118. Enabling real-time high-resolution flood forecasting for the entire state of Berlin through multi-GPU accelerated physics-based modeling S. Khosh Bin Ghomash et al.
119. A framework for the evaluation of flood inundation predictions over extensive benchmark databases D. Devi et al.
120. Assessment of crowdsourced social media data and numerical modelling as complementary tools for urban flood mitigation M. Re et al.