Reducing Sediment Pollution in Queensland Rivers: Towards the Development of a method to Quantify and Prioritise Bank Erosion in Queensland Rivers based on field evidence from the Upper Brisbane, O’Connell and Normanby Rivers

Thumbnail Image
Files
Brooks104074-Published.pdf (8.06 MB)
File version

Version of Record (VoR)

Author(s)
Brooks, Andrew
Olley, Jon
Iwashita, Fabio
Spencer, John
Brich, Sol
McMahon, Joe
Curwen, Graeme
Saxton, Nina
Borombovits, Daniel
Ellison, Tanya
Smolders, Kate
Stewart, Morag
Simon, Andrew
Bankhead, Natasha
Klimetz, Danny
Klimetz, Lauren
Thexton, Ed
Gibson, Stanford
Griffith University Author(s)
Borombovits, Daniel K.
 McMahon, Joe M.
 Saxton, Nina E.
 Brooks, Andrew P.
 Spencer, John R.
 Olley, Jon M.
 Curwen, Graeme R.
 Ellison, Tanya L.
 Brich, Sol
 Iwashita, Fabio
Primary Supervisor
Other Supervisors
Editor(s)
Date
2014
Size
File type(s)
Location
License
Abstract
  1. In this study we have compiled a large empirical data set on bank erosion rates and distributions from three Queensland catchments; the data includes: i. Upper Brisbane River
  2. Channel erosion data derived from repeat LiDAR data analysed down to the geomorphic unit scale over an 86km reach of the Upper Brisbane River mainstem channel above Lake Wivenhoe. Repeat LiDAR data covers the period 2001-2011.
  3. Associated in-channel and riparian vegetation structural data for the same area
  4. Daily modelled hydraulic data for the period covered by the LiDAR data.
  5. Intensive geotechnical data at 30 sites , including: 81 Borehole shear tests; 71 pore pressure tests; 91 mini jet tests; 106 sediment particle size analyses ii. O’Connell River
  6. Channel erosion data derived from repeat LiDAR data analysed down to the geomorphic unit scale over a 54 km reach of the O’Connell mainstem channel. Repeat LiDAR data covers the period 2010-2012.
  7. Associated vegetation structural data for the same area. Daily modelled hydraulic data for the period covered by the LiDAR data.
  8. Intensive geotechnical data at 15 sites , including: 36 Borehole shear tests; 5 pore pressure tests; 22 mini jet tests; 50 sediment particle size analyses iii. Normanby River
  9. Channel erosion data down to the geomorphic unit scale over 11 stream reaches to a total of 43.6km of streams and associated floodplain. Repeat LiDAR data covers the period 2009-2011.
  10. Associated in-channel and riparian vegetation structural data for the same area
  11. Intensive geotechnical data at 22 sites , including: 45 Borehole shear tests; 24 pore pressure tests; 34 mini jet tests; 115 sediment particle size analyses
  12. Rapid Geomorphic Assessments (RGAs) were also carried out at an additional 147 sites in the three catchments (30, 54 & 63 for the Brisbane, O’Connell and Normanby Rivers respectively). This was to test the potential of a rapid assessment approach for either replacing the intensive approach or simply to augment the intensive site data to aid in the up-scaling of site data to the reach scale. i. The RGA procedure involved the collection of the following:
  13. Vegetation community composition and structure - including the collection of hemispherical photographs of the canopy cover using a GoPro camera for comparison with other remotely sensed data
  14. A rapid assessment channel stability scoring procedure
  15. Rapid measurements of bank shear strength characteristics using a torvane and a penetrometer
  16. Bed material particle counts
  17. Bank material sampling for particle size analysis
  18. Collection of the largest river bank vegetation/ root strength dataset yet collected. We compiled root data at a total of 48 sites across the three catchments (14, 8 & 26 for the Brisbane, O’Connell and Normanby Rivers respectively), which included 24 single species assessments and 24 community assemblages i. Across all sites we measured 116,000 roots and developed root strength/diameter relationships across all sites (appendix 5). This represents several orders of magnitude more roots than have ever been measured in any published study of river bank root-strength relationships within the international literature. ii. The comprehensive nature of this dataset has provided new Insights into the key attributes of riparian roots, highlighting that site conditions and the community assemblage are more important than the plant species.
Journal Title
Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
https://www.griffith.edu.au/australian-rivers-institute
DOI
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2014 Griffith University

Item Access Status
Note
Access the data
Related item(s)
Subject

Geomorphology and Regolith and Landscape Evolution

Persistent link to this record
http://hdl.handle.net/10072/406009
Citation

Brooks, A; Olley, J; Iwashita, F; Spencer, J; Brich, S; McMahon, J; Curwen, G; Saxton, N; Borombovits, D; Ellison, T; Smolders, K; Stewart, M; Simon, A; Bankhead, N; Klimetz, D; Klimetz, L; Thexton, E; Gibson, S, Reducing Sediment Pollution in Queensland Rivers: Towards the Development of a method to Quantify and Prioritise Bank Erosion in Queensland Rivers based on field evidence from the Upper Brisbane, O’Connell and Normanby Rivers, Report to the Qld Dept Science InformationTechnology and Innovation, 2014, pp. 1-79

Collections
Reports