- author = "E. L. Harris and V. Babovic and R. A. Falconer",
- title = "Velocity predictions in compound channels with vegetated floodplains using genetic programming",
- journal = "International Journal of River Basin Management",
- year = "2003",
- volume = "1",
- number = "2",
- pages = "117--123",
- keywords = "genetic algorithms, genetic programming, Evolutionary computation, hydrodynamic processes, floodplain vegetation",
- ISSN = "1571-5124",
-
DOI = "
doi:10.1080/15715124.2003.9635198",
- size = "7 pages",
-
abstract = "Data collection and storage methods have improved
vastly over recent years, however the processes of
information and knowledge extraction from data have not
mirrored this. The application of computer supported
scientific knowledge discovery processes to carefully
collected observations aims to improve the
understanding of the processes that generated or
produced these data. In this paper, these new
techniques have been applied to the complex and poorly
understood phenomena of flow through idealised
vegetation. The ability to predict, with improved
accuracy, velocities within wetlands and other
vegetated areas would be advantageous as these regions
are increasingly being recognised for their natural
flood alleviation properties.
In this study, laboratory data collected in a flume with steady flows over a deep channel with relatively shallow vegetated floodplains were used to induce the formulation of expressions using a data driven discovery technique, namely genetic programming (GP). The objective of the study was not only to gain an understanding of the effect of vegetation on velocity distributions across a channel but moreover to demonstrate an alternative discovery process. The performance of the genetic program is reported for three variations of the GP. The reported results of the experiments were found to be encouraging and further work is detailed.",
- notes = "PhD 2003 Environmental Hydroinformatics Tools for Water Quality Management",
