1D-2D MODELING OF URBAN FLOODS AND RISK MAP GENERATION FOR THE PART OF HYDERABAD CITY

12 citations as recorded by crossref.

1. Development of QGIS plugin for flood inundation mapping: applying Otsu’s thresholding technique S. Mandal et al. https://doi.org/10.1007/s40899-024-01185-1
2. Temporal Disaggregation and Short-Term Forecasting of Hourly Rainfall Data: A Case Study of Raipur City Chhattisgarh, India G. Patel et al. https://doi.org/10.1007/s40996-025-01901-7
3. Spatial approach for assessing vulnerability to urban flooding: a proposal for a multidimensional index A. Gomez Vaca et al. https://doi.org/10.1007/s11069-025-07451-5
4. Applicability of the HC-SURF Dual Drainage Model for Urban Flood Forecasting: A Quantitative Comparison with PC-SWMM and InfoWorks ICM S. Sim & H. Kim https://doi.org/10.3390/w17243575
5. Urban Flood Modeling for Sustainability Management: Role of Design Rainfall and Land Use D. Młyński et al. https://doi.org/10.3390/su16114805
6. A review of flood modeling methods for urban pluvial flood application D. Bulti & B. Abebe https://doi.org/10.1007/s40808-020-00803-z
7. Simulating the future flood events and their impacts on critical infrastructure in Srinagar: a Himalayan urban centre N. Ali et al. https://doi.org/10.1007/s11069-025-07129-y
8. A Comprehensive Review of Cutting-Edge Flood Modelling Approaches for Urban Flood Resilience Enhancement S. Snikitha et al. https://doi.org/10.1007/s41101-024-00327-y
9. Improving pluvial flood mapping resolution of large coarse models with deep learning C. Ambrogi Ferreira Do Lago et al. https://doi.org/10.1080/02626667.2024.2329268
10. Urban Flood Hazard Assessment and Management Practices in South Asia: A Review B. Manandhar et al. https://doi.org/10.3390/land12030627
11. SynxFlow-based urban pluvial flood simulation and sensitivity evaluation in the central urban area of Shenzhen P. Su et al. https://doi.org/10.1016/j.ejrh.2026.103325
12. Explore training self-organizing map methods for clustering high-dimensional flood inundation maps L. Chang et al. https://doi.org/10.1016/j.jhydrol.2020.125655