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...
Main Authors: | , , , |
---|---|
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 |
id |
doaj-80a6488a92414a309f0becffd483950f |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT dgwapedza regionalisingmuslefactorsforapplicationtoadatascarcecatchment AT aslaughter regionalisingmuslefactorsforapplicationtoadatascarcecatchment AT dhughes regionalisingmuslefactorsforapplicationtoadatascarcecatchment AT smantel regionalisingmuslefactorsforapplicationtoadatascarcecatchment |
_version_ |
1725657629372448768 |