Bank erosion and channel width change in a tropical catchment

• Published in: Earth surface processes and landforms 2008-12, Vol.33 (14), p.2174-2200
• Main Authors: Bartley, Rebecca, Keen, Rex J., Hawdon, Aaron A., Hairsine, Peter B., Disher, Mark G., Kinsey-Henderson, A. E.
• Format: Article
• Language: English
• Subjects: Australia; bank erosion; Bgi / Prodig; Fluvial forms and processes; Geomorphology; meander migration; modelling; Physical geography; tropical Queensland
• ISSN: 0197-9337; 1096-9837
• DOI: 10.1002/esp.1678

Catchment sediment budget models are used to predict the location and rates of bank erosion in tropical catchments draining to the Great Barrier Reef lagoon, yet the reliability of these predictions has not been tested due to a lack of measured bank erosion data. This paper presents the results of a 3 year field study examining bank erosion and channel change on the Daintree River, Australia. Three different methods were employed: (1) erosion pins were used to assess the influence of riparian vegetation on bank erosion, (2) bench‐marked cross‐sections were used to evaluate annual changes in channel width and (3) historical aerial photos were used to place the short term data into a longer temporal perspective of channel change (1972–2000). The erosion pin data suggest that the mean erosion rate of banks with riparian vegetation is 6·5 times (or 85%) lower than that of banks without riparian vegetation. The changes measured from cross‐section surveys suggest that channel width has increased by an average of 0·74 (±0·47) m a−1 over the study period (or ∼0·8% yr−1). The aerial photo results suggest that over the last 30 years the Daintree River has undergone channel contraction of the order of 0·25 m a−1. The cross‐section data were compared against modelled SedNet bank erosion rates, and it was found that the model underestimated bank erosion and was unable to represent the variable erosion and accretion processes that were observed in the field data. The reach averaged bank erosion rates were improved by the inclusion of locally derived bed slope and discharge estimates; however, the results suggest that it will be difficult for catchment scale sediment budget models to ever accurately predict the location and rate of bank erosion due to the variation in bank erosion rates in both space and time. Copyright © 2008 John Wiley & Sons, Ltd.