Regionalising MUSLE factors for application to a data-scarce catchment

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 Mo...

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Main Authors: D. Gwapedza, A. Slaughter, D. Hughes, S. Mantel
Format: Article
Language:English
Published: Copernicus Publications 2018-04-01
Series:Proceedings of the International Association of Hydrological Sciences
Online Access:https://www.proc-iahs.net/377/19/2018/piahs-377-19-2018.pdf
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spelling doaj-80a6488a92414a309f0becffd483950f2020-11-24T22:55:10ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2018-04-01377192410.5194/piahs-377-19-2018Regionalising MUSLE factors for application to a data-scarce catchmentD. Gwapedza0A. Slaughter1D. Hughes2S. Mantel3Institute for Water Research, Rhodes University, P.O. Box 94, Grahamstown, Eastern Cape, South AfricaInstitute for Water Research, Rhodes University, P.O. Box 94, Grahamstown, Eastern Cape, South AfricaInstitute for Water Research, Rhodes University, P.O. Box 94, Grahamstown, Eastern Cape, South AfricaInstitute for Water Research, Rhodes University, P.O. Box 94, Grahamstown, Eastern Cape, South AfricaThe 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<sup>−1</sup> yr<sup>−1</sup> 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.https://www.proc-iahs.net/377/19/2018/piahs-377-19-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Gwapedza
A. Slaughter
D. Hughes
S. Mantel
spellingShingle D. Gwapedza
A. Slaughter
D. Hughes
S. Mantel
Regionalising MUSLE factors for application to a data-scarce catchment
Proceedings of the International Association of Hydrological Sciences
author_facet D. Gwapedza
A. Slaughter
D. Hughes
S. Mantel
author_sort D. Gwapedza
title Regionalising MUSLE factors for application to a data-scarce catchment
title_short Regionalising MUSLE factors for application to a data-scarce catchment
title_full Regionalising MUSLE factors for application to a data-scarce catchment
title_fullStr Regionalising MUSLE factors for application to a data-scarce catchment
title_full_unstemmed Regionalising MUSLE factors for application to a data-scarce catchment
title_sort regionalising musle factors for application to a data-scarce catchment
publisher Copernicus Publications
series Proceedings of the International Association of Hydrological Sciences
issn 2199-8981
2199-899X
publishDate 2018-04-01
description 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<sup>−1</sup> yr<sup>−1</sup> 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.
url https://www.proc-iahs.net/377/19/2018/piahs-377-19-2018.pdf
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