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RESEARCH ARTICLE
Contents Vol 58(9)

Identification of sediment sources to Lake Wivenhoe, south-east Queensland, Australia

G. Douglas A E , M. Palmer B , G. Caitcheon C and P. Orr D
+ Author Affiliations
- Author Affiliations

A CSIRO Land and Water, Centre for Environment and Life Sciences, Floreat, WA 6014, Australia.

B CSIRO Mathematical and Information Sciences, Centre for Environment and Life Sciences, Floreat, WA 6014, Australia.

C CSIRO Land and Water, Black Mountain Laboratories, Canberra, ACT 2601, Australia.

D DSEQWater, Brisbane, Qld 4002, Australia.

E Corresponding author. Email: Grant.Douglas@csiro.au

Marine and Freshwater Research 58(9) 793-810 https://doi.org/10.1071/MF05175
Submitted: 9 September 2005  Accepted: 3 August 2007   Published: 21 September 2007

Abstract

Effective management of sediment fluxes in aquatic systems involves, in part, the identification of catchment sediment sources. Lake Wivenhoe (LW), the largest water storage in south-east Queensland, serves two important roles: it supplies 80% of the drinking water to the region and acts as a major flood mitigation feature for the city of Brisbane. Highly developed subcatchments in LW have resulted in declining waterway health, with sediment movement from the catchment to LW of major concern. Although there is considerable hydrological information, only limited data exist on sediment and nutrient fluxes. A detailed lake sediment (128 samples) and reconnaissance catchment soil sampling program (89 samples) was undertaken. Geochemical, Nd–Sr isotopic and statistical analyses were used to identify major sources of sediment to LW. A purpose-built Bayesian mixing model was then used to quantitatively estimate the proportion of sediment from major catchment sources. Approximately 36% of the LW catchment delivers the majority of sediment; enrichment factors for the three major sediment sources (dam to catchment ratio) range from ~2 to 5. The Esk Formation is the major sediment source comprising ~10% of catchment area but contributing 50% of the sediment and 33% of the total phosphorus delivered to LW.

Additional keywords: Bayesian mixing model, geochemistry, mineralogy, Nd–Sr isotopes.


Acknowledgements

CSIRO acknowledges the support of the South-east Queensland Water Corporation (SEQWC) for their financial and logistical support for this study. Dr Jerry Miller and Dr Brad Patterson, CSIRO Land and Water, Dr Mark O’Donohue, SEQWC, Dr Karen Johanesson and an anonymous reviewer are thanked for their manuscript reviews.


References

Billheimer, D. (2001). Compositional receptor modelling. Environmetrics 12, 451–467.
| Crossref | GoogleScholarGoogle Scholar | Douglas G. B., Caitcheon G., Palmer M. J., Pinchand G. T., Adeney J. A., and Orr P. T. (2003c). Sediment sourcing in Lake Wivenhoe: Stage 2 – Identification of Lake Sediment Sources. CSIRO Land and Water Report, June 2003. 44pp.

Douglas G., Ford P., Palmer M., Noble R., and Packett R. (2005). Identification of sediment sources in the Fitzroy River Basin and Estuary, Queensland, Australia. Co-operative Research Centre for Coastal Zone, Estuary and Waterway Management Technical Report. No 13, 32pp. Available at www.coastal.crc.org.au/pdf/TechnicalReports/13-Fitzroy_geochemistry.pdf [Verified August 2007]

Gibbs, R. J. (1977). Clay mineral segregation in the marine environment. Journal of Sedimentary Petrology 47, 237–243.
Gilks W. R., Richardson S., and Spiegelhalter D. J. (1996). ‘Markov Chain Monte Carlo in Practice.’ (Chapman and Hall: London.)

Griggs, G. B. , and Hein, J. R. (1980). Sources, dispersal, and clay mineral composition of fine-grained sediment off central and northern California. The Journal of Geology 88, 541–566.
Hart M. K. W. (1989). Analysis for total Fe, Cr, V and Ti in varying matrix geological samples by XRF, using pressed powder samples. pp. 117–129. Standards in X-ray analysis. Australian X-ray Analytical Association (WA Branch). Fifth State Conference.

Hertogen, J. , and Gijbels, R. (1971). Instrumental neutron activation analysis of rocks with a low-energy photon detector. Analytica Chimica Acta 56, 61–82.
| Crossref | GoogleScholarGoogle Scholar | Norrish K., and Chappell B. W. (1977). X-ray fluorescence spectrometry. In ‘Physical Methods in Determinative Mineralogy’. (Ed. J. Zussman.) pp. 201–272. (Academic Press: London.)

Palmer, M. , and Douglas, G. (2005). A Bayesian statistical model for end-member analysis of sediment geochemistry, incorporating spatial dependencies. Applied Statistics. ,
Whitford D., Allan T., Andrew A., Craven S., Hamilton P., Korsch M., Trotter J., and Valenti G. (1996). Strontium isotope chronostratigraphy and geochemistry of the Darai Limestone: Juha 1X Well, PNG. In ‘Petroleum Exploration, Development and Production in PNG: Proceeding of the Third PNG Petroleum Convention’. (Ed. P. G. Buchanan.) pp. 369–380.

Wikle, C. K. , Millif, R. F. , Nychka, D. , and Berliner, L. M. (2001). Spatio-temporal hierarchical Bayesian modelling: tropical ocean surface winds. Journal of the American Statistical Association 96, 382–397.
| Crossref | GoogleScholarGoogle Scholar |