@article {bnh-5646,
	title = {River reconstruction using a conformal mapping method},
	journal = {Environmental Modelling \& Software},
	volume = {119},
	year = {2019},
	month = {06/2019},
	pages = {197-213},
	abstract = {<p><span>Accurate river bathymetry is required for applications including hydrodynamic flow modelling and understanding morphological processes. Bathymetric measurements are typically a set of depths at discrete points that must be reconstructed into a continuous surface. A number of algorithms exist for this reconstruction, including spline-based techniques and kriging methods. A novel and efficient method is introduced to produce a co-ordinate system fitted to the river path suitable for bathymetric reconstructions. The method is based on numerical conformal mapping and can handle topological features such as islands and branches in the river. Bathymetric surfaces generated using interpolation over a conformal map are compared to spline-based and kriging methods on a section of the Balonne River, Australia. The results show that the conformal mapping algorithm produces reconstructions comparable in quality to existing methods, preserves flow-wise features and is relatively insensitive to the number of sample points, enabling faster data collection in the field.</span></p>},
	keywords = {Conformal mapping, Depth reconstruction, flood management, River bathymetry, Spatial interpolation},
	issn = {1364-8152},
	doi = {https://doi.org/10.1016/j.envsoft.2019.06.006},
	url = {https://www.sciencedirect.com/science/article/pii/S1364815219301082},
	author = {James Hilton and Stefania Grimaldi and Cohen, R and Garg, N and Yuan Li and Marvanek, S and Valentijn Pauwels and Jeffrey Walker}
}
