2014 GSA Annual Meeting in Vancouver, British Columbia (19–22 October 2014)

Paper No. 301-3
Presentation Time: 9:30 AM

INVESTIGATING THE SOURCES OF SEDIMENT IN A CANADIAN AGRICULTURAL WATERSHED USING A COLOUR-BASED FINGERPRINTING TECHNIQUE


BARTHOD, Louise R.M., Department of Soil Science, University of Manitoba, Winnipeg, MB R3T 2N2, LOBB, David A., Department of Soil Science, University of Manitoba, 13 Freedman Crescent, Winnipeg, MB R3T 2N2, Canada, OWENS, Philip N., Environmental Science Program, University Of Northern British Columbia, Prince George, BC V2N 4Z9, MARTINEZ-CARRERAS, Nuria, Department of Environment and Agro-Biotechnologies, Centre de Recherche Public – Gabriel Lippmann, Belvaux, L-4422, Luxembourg, KOITER, Alexander J., Natural Resources and Environmental Studies Program, University of Northern British Columbia, 3333 University Way, Prince George, BC V2N 4Z9, Canada, PETTICREW, Ellen L., Geography Program, University of Northern British Columbia, 3333 University Way, Prince George, BC V2N 4Z9, Canada and MCCULLOUGH, Greg, University of Manitoba, 592 Wallace Bldg, Winnipeg, MB R3T 2N2

The use of sediment colour as a sediment fingerprint is an emerging technique that can provide a rapid and inexpensive means of investigating sediment sources. This technique is currently being utilized to determine sediment sources within the South Tobacco Creek Watershed, an agricultural watershed located in the Canadian prairies (south-central Manitoba). Suspended sediment and potential source (topsoil, channel bank and shale bedrock material) samples were collected between 2009 and 2011 at six locations along the main stem of the creek. Sample colour was quantified from diffuse reflectance spectrometry measurements over the visible wavelength range using a spectroradiometer (ASD Field Spec Pro, 400-2500 nm). Sixteen colour coefficients were derived from several colour space models. The individual discrimination power of the colour coefficients, after passing several prerequisite tests (e.g., linearly additive behaviour), was assessed using discriminant function analysis. A stepwise discriminant analysis, based on the Wilk’s lambda criterion, was then performed in order to determine the best-suited colour coefficient fingerprints which maximized the discrimination between the potential sources. The selected fingerprints were then included in a Bayesian mixing model using Monte-Carlo simulation (Stable Isotope Analysis in R, SIAR) in order to apportion the contribution of the different sources to the sediment collected at each location. A switch in the dominant sediment source between the headwaters and the outlet of the watershed is observed. There is an enrichment of shale bedrock and a depletion in topsoil sources as the stream crosses and down-cuts through the Manitoba Escarpment. The switch in the sediment source highlights the importance of the sampling location in relation to the scale and geomorphic connectivity of the watershed. Although the results include considerable uncertainty, they are consistent with the classical fingerprinting approach (i.e. geochemical and radionuclide fingerprints) undertaken in the same watershed, and confirm the potential of sediment colour parameters as suitable fingerprints.