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dc.contributor.authorBrooks, Andrew
dc.contributor.authorOlley, Jon
dc.contributor.authorIwashita, Fabio
dc.contributor.authorSpencer, John
dc.contributor.authorBrich, Sol
dc.contributor.authorMcMahon, Joe
dc.contributor.authorCurwen, Graeme
dc.contributor.authorSaxton, Nina
dc.contributor.authorBorombovits, Daniel
dc.contributor.authorEllison, Tanya
dc.contributor.authorSmolders, Kate
dc.contributor.authorStewart, Morag
dc.contributor.authorSimon, Andrew
dc.contributor.authorBankhead, Natasha
dc.contributor.authorKlimetz, Danny
dc.contributor.authorKlimetz, Lauren
dc.contributor.authorThexton, Ed
dc.contributor.authorGibson, Stanford
dc.date.accessioned2021-07-15T06:06:54Z
dc.date.available2021-07-15T06:06:54Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10072/406009
dc.description.abstract1. 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 1. 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. 2. Associated in-channel and riparian vegetation structural data for the same area 3. Daily modelled hydraulic data for the period covered by the LiDAR data. 4. 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 1. 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. 2. Associated vegetation structural data for the same area. Daily modelled hydraulic data for the period covered by the LiDAR data. 3. 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 1. 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. 2. Associated in-channel and riparian vegetation structural data for the same area 3. Intensive geotechnical data at 22 sites , including: 45 Borehole shear tests; 24 pore pressure tests; 34 mini jet tests; 115 sediment particle size analyses 2. 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: 1. 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 2. A rapid assessment channel stability scoring procedure 3. Rapid measurements of bank shear strength characteristics using a torvane and a penetrometer 4. Bed material particle counts 5. Bank material sampling for particle size analysis 3. 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.
dc.languageEnglish
dc.publisherAustralian Rivers Institute, Griffith University
dc.publisher.placeAustralia
dc.publisher.urihttps://www.griffith.edu.au/australian-rivers-institute
dc.relation.ispartofbookorjournalReport to the Qld Dept Science InformationTechnology and Innovation
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto79
dc.subject.fieldofresearchGeomorphology and Regolith and Landscape Evolution
dc.subject.fieldofresearchcode040601
dc.titleReducing 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
dc.typeReport
dc.type.descriptionU2 - Reviews/Reports
dcterms.bibliographicCitationBrooks, 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
dc.date.updated2021-07-15T06:00:49Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2014 Griffith University
gro.hasfulltextFull Text
gro.griffith.authorBorombovits, Daniel K.
gro.griffith.authorMcMahon, Joe M.
gro.griffith.authorSaxton, Nina E.
gro.griffith.authorBrooks, Andrew P.
gro.griffith.authorSpencer, John R.
gro.griffith.authorOlley, Jon M.
gro.griffith.authorCurwen, Graeme R.
gro.griffith.authorEllison, Tanya L.
gro.griffith.authorBrich, Sol
gro.griffith.authorIwashita, Fabio


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