Comparison of landscape approaches to define spatial patterns of hillslope-scale sediment delivery ratio

Paper


Vigiak, O., Newham, L. T. H., Whitford, J., Melland, A. and Borselli, L.. 2009. "Comparison of landscape approaches to define spatial patterns of hillslope-scale sediment delivery ratio." Braddock, Roger (ed.) 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia 13 - 17 Jul 2009 Cairns, Australia. Modelling and Simulation Society of Australia and New Zealand .
Paper/Presentation Title

Comparison of landscape approaches to define spatial patterns of hillslope-scale sediment delivery ratio

Presentation TypePaper
AuthorsVigiak, O. (Author), Newham, L. T. H. (Author), Whitford, J. (Author), Melland, A. (Author) and Borselli, L. (Author)
EditorsBraddock, Roger
Journal or Proceedings TitleProceedings of the 18th World IMACS Congress and International Congress on Modelling and Simulation (MODSIM09)
ERA Conference ID60346
Number of Pages7
Year2009
PublisherModelling and Simulation Society of Australia and New Zealand
Place of PublicationCairns, Australia
ISBN9780975840078
Web Address (URL) of Paperhttp://www.mssanz.org.au/modsim09/I14/vigiak.pdf
Conference/Event18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation
IMACS World Congress and MODSIM International Congress on Modelling and Simulation
Event Details
18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation
Parent
IMACS World Congress and MODSIM International Congress on Modelling and Simulation
Delivery
In person
Event Date
13 to end of 17 Jul 2009
Event Location
Cairns, Australia
Event Details
IMACS World Congress and MODSIM International Congress on Modelling and Simulation
Abstract

A sediment delivery ratio (SDR) is that fraction of gross erosion that is transported from a given catchment in a given time interval. In essence, a SDR is a scaling factor that relates sediment availability and deposition at different spatial scales. In this paper, we focus on hillslope-scale SDR, i.e. the ratio of sediment produced from hillslopes to that delivered to the stream network. Factors that affect hillslope water movement, and thus entrainment or deposition of sediments, ultimately affecting the SDR, include upslope area, climate, topography, and soil cover. In erosion models, SDR is usually treated as a constant parameter. However, the use of spatially variable SDRs could improve the spatial prediction of the critical sources of sediment, i.e. identification of those areas directly affecting stream water quality. Such information would improve prioritisation of natural resource management effort and investment. Recent literature has described several landscape approaches to represent SDR variability in space, some of which account only for topography, whilst others consider topography and soil cover characteristics. The aim of this study was to evaluate four landscape approaches for their ability to depict spatial patterns of SDR in the Avon-Richardson catchment in the semi-arid Wimmera region (Victoria, South-east Australia). Erosion was assessed using a semi-distributed model (CatchMODS) with disaggregation based in subcatchments of around 40 km2 area. Hillslope gross erosion was assessed with a RUSLE approach. By applying the four landscape approaches using DEM and estimates of land use cover, four landscape index subcatchment distributions were calculated. These were normalised into standard distributions. Then, a sigmoid function was used to transform the standardised indices into SDR-index distributions ranging from zero to one. Finally, subcatchment SDRs were estimated as the product of the SDR-index by a whole-of-catchment SDR value that was estimated by calibration against sediment loads measured at five gauging stations of the study area. The major sources of hillslope erosion were modelled to be located in the southern hilly areas of the catchment. However, a topographic convergence approach predicted as well important contribution of hillslope-erosion sediment loads coming from the eastern flatter cropping land. The introduction of landscape-variable SDRs improved the overall goodness-of-fit of modelled versus observed sediment loads at five gauging stations located in the catchment for only the topographic convergence approach. However, the limited number of observations (11), the location of some gauging stations downstream of active gully erosion, and the lack of gauging stations monitoring the north-eastern part of the catchment hindered the assessment of which spatial distribution of hillslope erosion best represented the real catchment conditions. Further research is needed to define the relationship between landscape indices and SDR; and to evaluate the spatial distribution of erosion against more complete field evidence.

KeywordsCatchMODS; connectivity; landscape index; sediment delivery ratio; soil erosion; spatial prioritisation
ANZSRC Field of Research 2020300206. Agricultural spatial analysis and modelling
409901. Agricultural engineering
410601. Land capability and soil productivity
Public Notes

This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.

Institution of OriginUniversity of Southern Queensland
Byline AffiliationsDepartment of Primary Industries, Victoria
Australian National University
Teagasc Agriculture and Food Development Authority, Ireland
Italian National Research Council, Italy
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