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Quick, L.; Boothroyd, R.; Williams, R.; Hoey, T.B.; Tolentino, P.L.

Topography, orthoimagery, topographic change, predicted hydraulic flow, and bedload transport rates of the Bislak River, the Philippines

https://doi.org/10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a
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This dataset is under embargo and will be made available by 2 February 2026 at the latest   Find out more »
For the Bislak River, the Philippines, this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models (DEMs) of Difference; (iii) predicted depth, velocity and shear stress from HEC-RAS two-dimensional hydraulic model simulations for 10, 50 and 100 year return period flood scenarios; and (iv) calculated bedload transport for 10, 50 and 100 year return period flood scenarios.

Shear stress predictions were combined with median (D50) grain size observations to compute bedload transport rates for four different river patterns (meandering, wandering, braided, deltaic). For the 50 year return period flood event, bedload transport rates were also calculated for the D16 and D84 grain size. Geomorphic change detection was used to identify geomorphic change which took place between 2014-2019 and 2019-2020. All geospatial data are in WGS 1984 UTM Zone 51N.

This data was created as part of a numerical, two-dimensional hydraulic modelling investigation to predict patterns of flood inundation and bedload transport for the Bislak River Philippines under different flood scenarios (10-, 50- 100-year flood events).
Publication date: 2025-07-10
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More information

View numbers valid from 10 July 2025 (information prior to this was not collected)

Format

TIFF

Spatial information

Study area
Spatial representation type
Raster
Spatial reference system
WGS 84

Provenance & quality

An initial airborne LiDAR topographic survey of the Bislak River was completed in 2014, as reported by Rubio-Paringit and Parangit (2015). Subsequent airborne LiDAR topographic surveys were commissioned in 2019 and 2020 to provide repeat datasets. The Bislak DEMs were formed from a fusion of topographic data collected from different survey techniques (e.g. LiDAR, echo sounding and spectrally based depth mapping). HEC-RAS 2D software was used to predict inundation patterns (depth, velocity, shear stress).

Bislak River Bedload transport rate predictions were generated using the shear stress rasters exported from HEC-RAS. Shear stress rasters were split into river morphology types (meandering, wandering, braided, deltaic).

Licensing and constraints

This dataset is under embargo and will be made available by 2 February 2026 at the latest   Find out more »

This dataset will be available under the terms of the Open Government Licence

Cite this dataset as:
Quick, L.; Boothroyd, R.; Williams, R.; Hoey, T.B.; Tolentino, P.L. (2025). Topography, orthoimagery, topographic change, predicted hydraulic flow, and bedload transport rates of the Bislak River, the Philippines. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a

Supplemental information

Rubio-Paringit, M.C., and Paringit, E.C. (2015). Vertical Datum Unification in the Philippines from Analysis of Tide Stations. International Journal of Geomatics and Geosciences, 1464-1473

Correspondence/contact details

Williams, R.
University of Glasgow
Glasgow
G12 8QQ
UNITED KINGDOM
 Richard.williams@glasgow.ac.uk

Authors

Quick, L.
University of Glasgow
Boothroyd, R.
University of Liverpool
Williams, R.
University of Glasgow
Hoey, T.B.
Brunel University of London
Tolentino, P.L.
University of Glasgow

Other contacts

Rights holder
University of Glasgow
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
environment
Keywords
flood , flood inundation , geomorphic change , Hydrology , sediment transport
Funding
Natural Environment Research Council Award: NE/S003312
Philippine Council for Industry, Energy and Emerging Technology Research and Development Award: EP/X527749/1
Last updated
24 July 2025 14:00