Segmentation of a river using the Saint Venant equations

Mathias Foo, Erik Weyer, Nadia Bedjaoui

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Citations (Scopus)

Abstract

The Saint Venant equations are widely used for modelling river systems for scenario simulations, flow prediction, control design, etc. In order to represent a river using the Saint Venant equations, the river is usually divided into segments which are stretches where the river geometry and the friction are assumed constant. This lead to the question of how a river should be segmented, considering that the geometries of a river can vary considerably along a reach. In this paper, we present segmentation studies of rivers using the Saint Venant equations. Simulation studies show that a few segments are sufficient for representing the river with good accuracy. The findings are validated using operational data from the Broken and the Murray Rivers in Australia. The findings are useful as they justify the use of only a few segments which leads to relatively simple simulation models. © 2010 IEEE.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Control Applications
Pages848-853
Number of pages6
DOIs
Publication statusPublished - 2010
EventIEEE International conference on Control Applications - Yokohama, Japan
Duration: 8 Sep 201010 Sep 2010

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Conference

ConferenceIEEE International conference on Control Applications
Abbreviated titleCCA
CountryJapan
CityYokohama
Period8/09/1010/09/10

Keywords

  • Rivers
  • Mathematical model
  • Medical services
  • Equations
  • Accuracy
  • Geometry
  • Boundary conditions

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  • Cite this

    Foo, M., Weyer, E., & Bedjaoui, N. (2010). Segmentation of a river using the Saint Venant equations. In Proceedings of the IEEE International Conference on Control Applications (pp. 848-853). (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2010.5611282