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Maximum inundation depth rasters for urban pluvial flood risk assessment modelled under four different scenarios, Ninh Kieu District, Can Tho City, Vietnam

Publisher
Environmental Information Data Centre
Updated
30 July 2026
Topic
Not set
Licence
Not set

Summary

[This dataset is embargoed until January 4, 2027]. 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. Full details about this dataset can be found at https://doi.org/10.5285/9f801d1f-01a2-44a2-8f10-2881332c846a

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Additional information

Source Metadata
XML, HTML
Date added
25 July 2026
Harvest GUID
9f801d1f-01a2-44a2-8f10-2881332c846a
Extent (Latitude)
10.956° to 8.465°
Extent (Longitude)
104.387° to 107.036°
Dataset reference date (publication)
2026-06-15
Dataset reference date (released)
2027-01-04
Access constraints
If you reuse this data, you should cite: 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
Responsible party
(author, pointOfContact, publisher, custodian); Newcastle University (owner)
ISO 19139 resource type
dataset
Metadata language
eng