Maximum inundation depth rasters for urban pluvial flood risk assessment modelled under four different scenarios, Ninh Kieu District, Can Tho City, Vietnam
https://doi.org/10.5285/9f801d1f-01a2-44a2-8f10-2881332c846a
Download/Access
The dataset contains 20 GeoTIFF rasters of maximum overland water depth simulated using a GPU-accelerated two-dimensional hydrodynamic framework (HiPIMS) with a per-timestep bidirectionally coupled Sustainable Drainage System (SuDS) module, applied to complement urban pluvial flood risk assessment in Ninh Kieu District, Can Tho City, Vietnam. Can Tho City experiences frequent flooding - with tidal surges from the Can Tho River - significant flood management works are currently underway through the Can Tho Urban Development and Resilience Project.
Rasters are provided for four scenario types (one no-SuDS baseline and three SuDS types: green roof, bio-retention cell, and rain garden) under five design rainfall return periods (5, 10, 20, 50, and 100 years), yielding 20 simulations in total. Each raster records the maximum overland water depth (m) at each 1 m grid cell across the full 3-hour simulation.
Rasters are provided for four scenario types (one no-SuDS baseline and three SuDS types: green roof, bio-retention cell, and rain garden) under five design rainfall return periods (5, 10, 20, 50, and 100 years), yielding 20 simulations in total. Each raster records the maximum overland water depth (m) at each 1 m grid cell across the full 3-hour simulation.
Publication date: 2026-06-15
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Format
TIFF
Spatial information
Study area
Spatial representation type
Raster
Spatial reference system
WGS 84 / Pseudo-Mercator
Spatial resolution
1 metres
Temporal information
Temporal resolution
100, 50, 20, 10, and 5 year simulations
Provenance & quality
Numerical simulation (HiPIMS hydrodynamic model with bidirectionally coupled SuDS module). Two-dimensional hydrodynamic simulation using HiPIMS (GPU-accelerated, Godunov-type finite volume scheme, MUSCL-Hancock method) at 1 m resolution, driven by spatially uniform design rainfall inputs. The SuDS module computes Green-Ampt infiltration and Darcy drainage within SuDS cells at each computational time step, exchanging water flux bidirectionally with the overland flow solver. Maximum water depth at each cell was recorded across all output time steps to produce h_max_10800.tif at the end of the 3-hour simulation. The study domain covers approximately 5.29 km² of Ninh Kieu District, simulated at 1 m spatial resolution. Design rainfall events follow the intensity-duration-frequency relationships derived for Can Tho.
Raw HiPIMS outputs (water depth rasters saved at regular output intervals) were processed to extract the maximum depth at each grid cell across the full simulation duration, yielding h_max_10800.tif at t = 10800 s.
Raw HiPIMS outputs (water depth rasters saved at regular output intervals) were processed to extract the maximum depth at each grid cell across the full simulation duration, yielding h_max_10800.tif at t = 10800 s.
Licensing and constraints
This dataset will be available under the terms of the Open Government Licence 
Cite this dataset as:
Jiang, J.; Liang, Q. (2026). Maximum inundation depth rasters for urban pluvial flood risk assessment modelled under four different scenarios, Ninh Kieu District, Can Tho City, Vietnam. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/9f801d1f-01a2-44a2-8f10-2881332c846a
Correspondence/contact details
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
Newcastle University
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk