Integrating Sediment (dis)Connectivity into a Sediment Yield Model for Semi-Arid Catchments
Louise Lodenkemper,
Kate Rowntree,
Denis Hughes and
Andrew Slaughter
Additional contact information
Louise Lodenkemper: Zutari (Pty) Ltd., Africa Water, Cape Town 1744, South Africa
Kate Rowntree: Geography Department, Rhodes University, Grahamstown 6140, South Africa
Denis Hughes: Institute of Water Resources, Rhodes University, Grahamstown 6140, South Africa
Andrew Slaughter: Institute of Water Resources, Rhodes University, Grahamstown 6140, South Africa
Land, 2021, vol. 10, issue 11, 1-20
Abstract:
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.
Keywords: semi-arid; sediment storage; connectivity; erosion model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:10:y:2021:i:11:p:1204-:d:673852
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