Optimal cross-sectional sampling for river modelling with bridges: An information theory-based method
- Hydroinformatics Chair Group, UNESCO-IHE, Delft (Netherlands)
- Department of Earth Sciences, Program for Air, Water and Landscape Sciences, Uppsala University (Sweden)
The description of river topography has a crucial role in accurate one-dimensional (1D) hydraulic modelling. Specifically, cross-sectional data define the riverbed elevation, the flood-prone area, and thus, the hydraulic behavior of the river. Here, the problem of the optimal cross-sectional spacing is solved through an information theory-based concept. The optimal subset of locations is the one with the maximum information content and the minimum amount of redundancy. The original contribution is the introduction of a methodology to sample river cross sections in the presence of bridges. The approach is tested on the Grosseto River (IT) and is compared to existing guidelines. The results show that the information theory-based approach can support traditional methods to estimate rivers’ cross-sectional spacing.
- OSTI ID:
- 22609002
- Journal Information:
- AIP Conference Proceedings, Vol. 1738, Issue 1; Conference: ICNAAM 2015: International conference of numerical analysis and applied mathematics 2015, Rhodes (Greece), 22-28 Sep 2015; Other Information: (c) 2016 Author(s); Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
Similar Records
Modeling surface water dynamics in the Amazon Basin using MOSART-Inundation v1.0: impacts of geomorphological parameters and river flow representation
Walla Walla River Basin Fish Screens Evaluations, 2006 Annual Report.