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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology

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Proc. IAHS, 377, 19-24, 2018
https://doi.org/10.5194/piahs-377-19-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
16 Apr 2018
Regionalising MUSLE factors for application to a data-scarce catchment
David Gwapedza, Andrew Slaughter, Denis Hughes, and Sukhmani Mantel Institute for Water Research, Rhodes University, P.O. Box 94, Grahamstown, Eastern Cape, South Africa
Abstract. The estimation of soil loss and sediment transport is important for effective management of catchments. A model for semi-arid catchments in southern Africa has been developed; however, simplification of the model parameters and further testing are required. Soil loss is calculated through the Modified Universal Soil Loss Equation (MUSLE). The aims of the current study were to: (1) regionalise the MUSLE erodibility factors and; (2) perform a sensitivity analysis and validate the soil loss outputs against independently-estimated measures. The regionalisation was developed using Geographic Information Systems (GIS) coverages. The model was applied to a high erosion semi-arid region in the Eastern Cape, South Africa. Sensitivity analysis indicated model outputs to be more sensitive to the vegetation cover factor. The simulated soil loss estimates of 40 t ha−1 yr−1 were within the range of estimates by previous studies. The outcome of the present research is a framework for parameter estimation for the MUSLE through regionalisation. This is part of the ongoing development of a model which can estimate soil loss and sediment delivery at broad spatial and temporal scales.
Citation: Gwapedza, D., Slaughter, A., Hughes, D., and Mantel, S.: Regionalising MUSLE factors for application to a data-scarce catchment, Proc. IAHS, 377, 19-24, https://doi.org/10.5194/piahs-377-19-2018, 2018.
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The paper investigates the use of GIS to come up with model parameters. This is part of a process of simplifying model use. The findings show that existing GIS data can be used for estimating model parameters as the outcomes of the research show that model outputs are consistent with previously estimated measures. This research is part of a development of a model which can estimate soil loss and sediment delivery at broad spatial and temporal scales to improve catchment management.
The paper investigates the use of GIS to come up with model parameters. This is part of a...
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