Tolentino, P.L.M. et al

River style characterisation, hydromorphological attributes, catchment properties and stream power analysis for the Bislak Catchment, Philippines, 2020

https://doi.org/10.5285/31ae71aa-74a9-466b-9a3a-25d2b1a9406e Cite this dataset
The shapefiles contain the classification and locations of each river style determined by the authors. The data were used to characterise the river styles in Bislak River, Philippines. Shapefiles were clipped to the catchment boundary from different national government agencies to produce different thematic maps. Catchment properties such as land use (from the National Mapping and Resource Information Authority (NAMRIA)), geology (from the Mines and Geosciences Bureau), fault (from Philippine Institute of Volcanology and Seismology, rainfall isohyets, slope map, and the digital elevation model (also from NAMRIA) were used for regional and catchment analysis. The data only covers the whole Bislak catchment, Philippines. The CSV contains data used for the stream power analysis where stream power is a factor of slope and discharge.
Publication date: 2022-11-28

Formats

Shapefile
Comma-separated values (CSV)
TIFF

Where/When

Study area
Temporal extent
2020-01-01    to    2020-12-31

Provenance & quality

The shapefiles used for the regional and catchment analyses were clipped from the national data provided by different Philippine government agencies while the river styles data were delineated and classified using the River Styles Framework as a guide. These data can be used as guidance for characterisation of other rivers in the Philippines.

Citations

Tolentino, P.L.M., Perez, J.E.G., Guardian, E.L., Boothroyd, R.J., Hoey, T.B., Williams, R.D., Fryirs, K.A., Brierley, G.J., & David, C.P.C. (2022). River Styles and stream power analysis reveal the diversity of fluvial morphology in a Philippine tropical catchment. In Geoscience Letters (Vol. 9, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1186/s40562-022-00211-4

Correspondence/contact details

Tolentino, P.L.M.
University of Glasgow
 p.tolentino.1@research.gla.ac.uk

Authors

Tolentino, P.L.M.
University of Glasgow
ORCID iD icon https://orcid.org/0000-0002-1803-9734
Perez, J.E.G.
University of Vienna
Guardian, E.L.
University of the Philippines
Boothroyd, R.J.
University of Glasgow
ORCID iD icon https://orcid.org/0000-0001-9742-4229
Hoey, T.B.
Brunel University London
ORCID iD icon http://orcid.org/0000-0003-0734-6218
Williams, R.D.
University of Glasgow
ORCID iD icon http://orcid.org/0000-0001-6067-1947
Fryirs, K.A.
Macquarie University
Brierley, G.B.
University of Auckland
David, C.P.C.
University of the Philippines

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
Inland Waters
Keywords
Fluvial geomorphology,  Hydrology,  Luzon,  Philippines,  River catchment,  River styles
INSPIRE Theme
Hydrography
Funding
Natural Environment Research Council Award: NE/S003312
Department of Science and Technology, Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD)
Scottish Funding Council
Spatial representation types
Raster
Vector
Spatial reference system
WGS 84
Last updated
09 February 2023 11:10

Get the data

By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

This dataset is available under the terms of the Open Government Licence

Download the data Supporting documentation

CITE AS: Tolentino, P.L.M.; Perez, J.E.G.; Guardian, E.L.; Boothroyd, R.J.; Hoey, T.B.; Williams, R.D.; Fryirs, K.A.; Brierley, G.B.; David, C.P.C. (2022). River style characterisation, hydromorphological attributes, catchment properties and stream power analysis for the Bislak Catchment, Philippines, 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/31ae71aa-74a9-466b-9a3a-25d2b1a9406e