About the Project
This project builds on the experience and data available from two recent research projects, the Royal Society funded Congo River users Hydraulics and Morphology project (CRuHM) and the NERC funded CongoPeat project. The supervision team is drawn from these two projects and provides significant experience in the basin, both in terms of remote sensing and field work. The project will take advantage of two recent developments from these two projects and uniquely synthesise them for this research. As part of the CongoPeat project, there is ongoing work to develop a Digital Terrain Model of the Basin created using ICESat-2 returns with gaps in coverage filled by GEDI, ICESat, airborne LiDAR and TanDEM-X DSM measurements (combined with vegetation height estimates to get down to a DTM level) (Davenport et al. 2020). As part of the CRuHM project, a 2D hydrodynamic model of the main river channel (~1000 km in length) has been created using recently surveyed bathymetry and water elevation data (Carr et al. 2019). The model of the river will provide hydrodynamic water levels with which to study overbank fluxes onto the wetland terrain model. It will be expected that auxiliary remote sensing datasets and novel methods will be needed to validate the locations and scales of fluxes, for example using optical remote sensing of suspended sediment concentrations or side aperture radar to penetrate flooded vegetation.
Previous river modelling efforts have been limited to a 4 km resolution (O’Loughlin et al. 2020) which is inadequate for understand the details of these complex river-floodplain interactions, especially with an annual floodwave amplitude of only 3-4 m. The outcomes of this project will be the first ever coupled hi-resolution hydrodynamic model of the river channel and wetlands of the Central Congo River at a sub km scale. This research will provide a more detailed and accurate understanding of the water fluxes between the river and floodplain including a quantification of volumes, timings and locations of water transfer. Understanding these fluxes are integral to furthering our scientific knowledge related the hydrological, ecological and carbon cycles of the Cuvette Central as well as navigability of the main Congo River channel. The modelled water surface elevations will be used to provide calibration for new multi-channel river algorithms currently being developed to remotely measure global river flows using data from the NASA Surface Water and Ocean Topography (SWOT) satellite mission, which launches in 2021 (Members of the CRuHM project are partners with the NASA SWOT Science team).
Primary: Mark Trigg, [Email Address Removed], University of Leeds
Greta Dargie, University of Leeds
Ian Davenport, University of Edinburgh
Edward Mitchard, University of Edinburgh
External advisor: Raphael Tshimanga, CRREBaC, University of Kinshasa
You will be based at the University of Leeds
CRREBaC and CRuHM – https://www.crrebac.org/en_GB/hydraulique-et-morphologie-pour-les-usagers-du-fleuve-congo-cruhm
CongoPeat – https://congopeat.net/
SWOT – https://swot.jpl.nasa.gov/
This PhD is part of the NERC and UK Space Agency funded Centre for Doctoral Training "SENSE": the Centre for Satellite Data in Environmental Science. SENSE will train 50 PhD students to tackle cross-disciplinary environmental problems by applying the latest data science techniques to satellite data. All our students will receive extensive training on satellite data and AI/Machine Learning, as well as attending a field course on drones, and residential courses hosted by the Satellite Applications Catapult (Harwell), and ESA (Rome). All students will experience extensive training on professional skills, including spending 3 months on an industry placement. See http://www.eo-cdt.org
Check https://eo-cdt.org/ for more information on funding and application process.
Davenport, I.J., McNicol, I., Mitchard, E.T., Dargie, G., Suspense, I., Milongo, B., Bocko, Y.E., Hawthorne, D., Lawson, I., Baird, A.J. and Page, S., 2020. First Evidence of Peat Domes in the Congo Basin using LiDAR from a Fixed-Wing Drone. Remote Sensing, 12(14), p.2196.
Carr, A.B., Trigg, M.A., Tshimanga, R.M., Borman, D.J. and Smith, M.W., 2019. Greater water surface variability revealed by new Congo River field data: implications for satellite altimetry measurements of large rivers. Geophysical Research Letters, 46(14), pp.8093-8101.
O’Loughlin, F.E., Neal, J., Schumann, G.J.P., Beighley, E. and Bates, P.D., 2020. A LISFLOOD-FP hydraulic model of the middle reach of the Congo. Journal of Hydrology, 580, p.124203.
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