An assessment of the fine sediment dynamics in an upland river system: INCA-Sed modifications and implications for fisheries
An assessment of the fine sediment dynamics in an upland river system: INCA-Sed modifications and implications for fisheries
There is a need for better links between hydrology and ecology, specifically between landscapes and riverscapes to understand how processes and factors controlling the transport and storage of environmental pollution have affected or will affect the freshwater biota. Here we show how the INCA modelling framework, specifically INCA-Sed (the Integrated Catchments model for Sediments) can be used to link sediment delivery from the landscape to sediment changes in-stream. INCA-Sed is a dynamic, process-based, daily time step model. The first complete description of the equations used in the INCA-Sed software (version 1.9.11) is presented. This is followed by an application of INCA-Sed made to the River Lugg (1077 km2) in Wales. Excess suspended sediment can negatively affect salmonid health. The Lugg has a large and potentially threatened population of both Atlantic salmon (Salmo salar) and Brown Trout (Salmo trutta). With the exception of the extreme sediment transport processes, the model satisfactorily simulated both the hydrology and the sediment dynamics in the catchment. Model results indicate that diffuse soil loss is the most important sediment generation process in the catchment. In the River Lugg, the mean annual Guideline Standard for suspended sediment concentration, proposed by UKTAG, of 25 mg l? 1 is only slightly exceeded during the simulation period (1995–2000), indicating only minimal effect on the Atlantic salmon population. However, the daily time step simulation of INCA-Sed also allows the investigation of the critical spawning period. It shows that the sediment may have a significant negative effect on the fish population in years with high sediment runoff. It is proposed that the fine settled particles probably do not affect the salmonid egg incubation process, though suspended particles may damage the gills of fish and make the area unfavourable for spawning if the conditions do not improve.
sediment, INCA, semi-distributed, process-based model, lugg, atlantic salmon, salmo salar
2555-2566
Lázár, Attila N.
d7f835e7-1e3d-4742-b366-af19cf5fc881
Butterfield, Dan
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Futter, Martyn N.
586357fe-e6d1-4b27-b4b1-6919d73b42a4
Rankinen, Katri
3e5aee56-1c89-4a27-b1a2-f4e67bf69302
Thouvenot-Korppoo, Marie
90ff574f-6c15-4fda-b5cc-66f22cd94b9b
Jarritt, Nick
8a67bfa4-a50d-4c3e-b240-188564740f6f
Lawrence, Deborah S.L.
07dbfbdb-7352-42ba-a5cd-042cce2d0a62
Wade, Andrew J.
dcaa2b09-ab33-420a-a590-53fe07781bfb
Whitehead, Paul G.
5dfb7549-7f3d-4e18-b99b-db00418fdd5c
May 2010
Lázár, Attila N.
d7f835e7-1e3d-4742-b366-af19cf5fc881
Butterfield, Dan
d92ec14d-fc1b-4a9a-ae7e-e5883ad85a71
Futter, Martyn N.
586357fe-e6d1-4b27-b4b1-6919d73b42a4
Rankinen, Katri
3e5aee56-1c89-4a27-b1a2-f4e67bf69302
Thouvenot-Korppoo, Marie
90ff574f-6c15-4fda-b5cc-66f22cd94b9b
Jarritt, Nick
8a67bfa4-a50d-4c3e-b240-188564740f6f
Lawrence, Deborah S.L.
07dbfbdb-7352-42ba-a5cd-042cce2d0a62
Wade, Andrew J.
dcaa2b09-ab33-420a-a590-53fe07781bfb
Whitehead, Paul G.
5dfb7549-7f3d-4e18-b99b-db00418fdd5c
Lázár, Attila N., Butterfield, Dan, Futter, Martyn N., Rankinen, Katri, Thouvenot-Korppoo, Marie, Jarritt, Nick, Lawrence, Deborah S.L., Wade, Andrew J. and Whitehead, Paul G.
(2010)
An assessment of the fine sediment dynamics in an upland river system: INCA-Sed modifications and implications for fisheries.
Science of the Total Environment, 408 (12), .
(doi:10.1016/j.scitotenv.2010.02.030).
Abstract
There is a need for better links between hydrology and ecology, specifically between landscapes and riverscapes to understand how processes and factors controlling the transport and storage of environmental pollution have affected or will affect the freshwater biota. Here we show how the INCA modelling framework, specifically INCA-Sed (the Integrated Catchments model for Sediments) can be used to link sediment delivery from the landscape to sediment changes in-stream. INCA-Sed is a dynamic, process-based, daily time step model. The first complete description of the equations used in the INCA-Sed software (version 1.9.11) is presented. This is followed by an application of INCA-Sed made to the River Lugg (1077 km2) in Wales. Excess suspended sediment can negatively affect salmonid health. The Lugg has a large and potentially threatened population of both Atlantic salmon (Salmo salar) and Brown Trout (Salmo trutta). With the exception of the extreme sediment transport processes, the model satisfactorily simulated both the hydrology and the sediment dynamics in the catchment. Model results indicate that diffuse soil loss is the most important sediment generation process in the catchment. In the River Lugg, the mean annual Guideline Standard for suspended sediment concentration, proposed by UKTAG, of 25 mg l? 1 is only slightly exceeded during the simulation period (1995–2000), indicating only minimal effect on the Atlantic salmon population. However, the daily time step simulation of INCA-Sed also allows the investigation of the critical spawning period. It shows that the sediment may have a significant negative effect on the fish population in years with high sediment runoff. It is proposed that the fine settled particles probably do not affect the salmonid egg incubation process, though suspended particles may damage the gills of fish and make the area unfavourable for spawning if the conditions do not improve.
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Published date: May 2010
Keywords:
sediment, INCA, semi-distributed, process-based model, lugg, atlantic salmon, salmo salar
Organisations:
Civil Maritime & Env. Eng & Sci Unit
Identifiers
Local EPrints ID: 350084
URI: http://eprints.soton.ac.uk/id/eprint/350084
ISSN: 0048-9697
PURE UUID: e80230a7-1283-4b4f-ad04-32f6e7793ea4
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Date deposited: 19 Mar 2013 12:36
Last modified: 15 Mar 2024 03:45
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Contributors
Author:
Dan Butterfield
Author:
Martyn N. Futter
Author:
Katri Rankinen
Author:
Marie Thouvenot-Korppoo
Author:
Nick Jarritt
Author:
Deborah S.L. Lawrence
Author:
Andrew J. Wade
Author:
Paul G. Whitehead
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