Integrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments
Soil erosion-associated sedimentation has become a significant global threat to sustainable land and water resources management. Semi-arid regions that characterise much of southern Africa are particularly at risk due to extreme hydrological regimes and sparse vegetative cover. This study aims to ad...
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MDPI AG
2021
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oai:doaj.org-article:50455eeb79554dcd9e392ff742d1de5e2021-11-25T18:09:39ZIntegrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments10.3390/land101112042073-445Xhttps://doaj.org/article/50455eeb79554dcd9e392ff742d1de5e2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1204https://doaj.org/toc/2073-445XSoil erosion-associated sedimentation has become a significant global threat to sustainable land and water resources management. Semi-arid regions that characterise much of southern Africa are particularly at risk due to extreme hydrological regimes and sparse vegetative cover. This study aims to address the need for an erosion and sediment delivery model that successfully incorporates our conceptual understanding of sedimentation processes in semi-arid regions, particularly sediment storage and connectivity within a catchment. Priorities of the Semi-arid Sediment Yield Model (SASYM) were simplicity and practical applicability for land and water resource management while adhering to basic geomorphic and hydrological principles. SASYM was able to represent multiple sediment storages within a catchment to effectively represent a change in landscape connectivity over geomorphic timeframes. SASYM used the Pitman rainfall–runoff model disaggregated to a daily timescale, the Modified Universal Soil Loss Equation (MUSLE), incorporating probability function theory and a representation of sediment storages and connectors across a semi-distributed catchment. SASYM was applied to a catchment in the Karoo, South Africa. Although there were limited observed data, there was a historical dataset available for the catchment through dam sedimentation history. SASYM was able to effectively present this history and provide evidence for landscape connectivity change.Louise LodenkemperKate RowntreeDenis HughesAndrew SlaughterMDPI AGarticlesemi-aridsediment storageconnectivityerosion modelAgricultureSENLand, Vol 10, Iss 1204, p 1204 (2021) |
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semi-arid sediment storage connectivity erosion model Agriculture S |
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semi-arid sediment storage connectivity erosion model Agriculture S Louise Lodenkemper Kate Rowntree Denis Hughes Andrew Slaughter Integrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments |
description |
Soil erosion-associated sedimentation has become a significant global threat to sustainable land and water resources management. Semi-arid regions that characterise much of southern Africa are particularly at risk due to extreme hydrological regimes and sparse vegetative cover. This study aims to address the need for an erosion and sediment delivery model that successfully incorporates our conceptual understanding of sedimentation processes in semi-arid regions, particularly sediment storage and connectivity within a catchment. Priorities of the Semi-arid Sediment Yield Model (SASYM) were simplicity and practical applicability for land and water resource management while adhering to basic geomorphic and hydrological principles. SASYM was able to represent multiple sediment storages within a catchment to effectively represent a change in landscape connectivity over geomorphic timeframes. SASYM used the Pitman rainfall–runoff model disaggregated to a daily timescale, the Modified Universal Soil Loss Equation (MUSLE), incorporating probability function theory and a representation of sediment storages and connectors across a semi-distributed catchment. SASYM was applied to a catchment in the Karoo, South Africa. Although there were limited observed data, there was a historical dataset available for the catchment through dam sedimentation history. SASYM was able to effectively present this history and provide evidence for landscape connectivity change. |
format |
article |
author |
Louise Lodenkemper Kate Rowntree Denis Hughes Andrew Slaughter |
author_facet |
Louise Lodenkemper Kate Rowntree Denis Hughes Andrew Slaughter |
author_sort |
Louise Lodenkemper |
title |
Integrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments |
title_short |
Integrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments |
title_full |
Integrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments |
title_fullStr |
Integrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments |
title_full_unstemmed |
Integrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments |
title_sort |
integrating sediment (dis)connectivity into a sediment yield model for semi-arid catchments |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/50455eeb79554dcd9e392ff742d1de5e |
work_keys_str_mv |
AT louiselodenkemper integratingsedimentdisconnectivityintoasedimentyieldmodelforsemiaridcatchments AT katerowntree integratingsedimentdisconnectivityintoasedimentyieldmodelforsemiaridcatchments AT denishughes integratingsedimentdisconnectivityintoasedimentyieldmodelforsemiaridcatchments AT andrewslaughter integratingsedimentdisconnectivityintoasedimentyieldmodelforsemiaridcatchments |
_version_ |
1718411557848743936 |