Modelling the Holocene evolution of coastal gullies on the Isle of Wight
Modelling the Holocene evolution of coastal gullies on the Isle of Wight
Geomorphological evidence has frequently been used to infer past environmental conditions, but in recent years the emergence of landscape evolution models (LEMs) has opened the possibility of using numerical modelling as a tool in palaeo-environmental reconstruction. The application of LEMs for this purpose involves retrodictive modelling, each simulation scenario being configured with model variables (e.g. reflecting climate change) and parameters to reflect a specific hypothesis of environmental change. Plausible scenarios are then identified by matching contemporary observed and modelled landscapes. However, although considerable uncertainty is known to surround the specification of model driving conditions and parameters, previous studies have not considered this issue. This research applies a technique of accounting for the uncertainty surrounding the specification of driving conditions and model parameters by using reduced complexity 'metamodels' to analyse the full model parameter space and thus constrain sources of uncertainty and plausible retrodicted scenarios more effectively. This study applies the developed techniques to a case study focused on a specific set of coastal gullies found on the Isle of Wight, UK. A key factor in the evolution of these gullies are the relative balance between rates of cliff retreat (which reduces gully extent) and headwards incision caused by knickpoint migration (which increases gully extent). To inform the choice and parameterisation of the numerical model used in this research an empirical-conceptual model of gully evolution was initially developed. To provide a long-term context for the evolution of the gullies and to identify the relative importance of the various driving factors, the Holocene erosional history of the Isle of Wight gullies was then simulated using a LEM. In a preliminary set of simulations a 'traditional' (i.e. with no consideration of parameter uncertainty) retrodictive modelling approach was applied, in which driving variables were arbitrarily altered and observed and simulated landscape topographies compared, under various scenarios of imposed environmental change. These initial results revealed that the coastal gullies have been ephemeral in nature for much of the Holocene, only becoming semi-permanent once cliff retreat rates fall below a critical threshold at 2500 cal. years BP. Next, in an attempt to constrain more detailed erosional histories and to explore the extent to which retrodicted interpretations of landscape change were confounded by uncertainty, a Central Composite Design (CCD) sampling technique was employed to sample variations in the model driving variables, enabling the trajectories of gully response to different combinations of the driving conditions to be modelled explicitly. In some of these simulations, where the ranges of bedrock erodibility (0:03 - 0:04m0:2a).
Leyland, Julian
6b1bb9b9-f3d5-4f40-8dd3-232139510e15
May 2009
Leyland, Julian
6b1bb9b9-f3d5-4f40-8dd3-232139510e15
Darby, Stephen E.
4c3e1c76-d404-4ff3-86f8-84e42fbb7970
Leyland, Julian
(2009)
Modelling the Holocene evolution of coastal gullies on the Isle of Wight.
University of Southampton, School of Geography, Doctoral Thesis, 355pp.
Record type:
Thesis
(Doctoral)
Abstract
Geomorphological evidence has frequently been used to infer past environmental conditions, but in recent years the emergence of landscape evolution models (LEMs) has opened the possibility of using numerical modelling as a tool in palaeo-environmental reconstruction. The application of LEMs for this purpose involves retrodictive modelling, each simulation scenario being configured with model variables (e.g. reflecting climate change) and parameters to reflect a specific hypothesis of environmental change. Plausible scenarios are then identified by matching contemporary observed and modelled landscapes. However, although considerable uncertainty is known to surround the specification of model driving conditions and parameters, previous studies have not considered this issue. This research applies a technique of accounting for the uncertainty surrounding the specification of driving conditions and model parameters by using reduced complexity 'metamodels' to analyse the full model parameter space and thus constrain sources of uncertainty and plausible retrodicted scenarios more effectively. This study applies the developed techniques to a case study focused on a specific set of coastal gullies found on the Isle of Wight, UK. A key factor in the evolution of these gullies are the relative balance between rates of cliff retreat (which reduces gully extent) and headwards incision caused by knickpoint migration (which increases gully extent). To inform the choice and parameterisation of the numerical model used in this research an empirical-conceptual model of gully evolution was initially developed. To provide a long-term context for the evolution of the gullies and to identify the relative importance of the various driving factors, the Holocene erosional history of the Isle of Wight gullies was then simulated using a LEM. In a preliminary set of simulations a 'traditional' (i.e. with no consideration of parameter uncertainty) retrodictive modelling approach was applied, in which driving variables were arbitrarily altered and observed and simulated landscape topographies compared, under various scenarios of imposed environmental change. These initial results revealed that the coastal gullies have been ephemeral in nature for much of the Holocene, only becoming semi-permanent once cliff retreat rates fall below a critical threshold at 2500 cal. years BP. Next, in an attempt to constrain more detailed erosional histories and to explore the extent to which retrodicted interpretations of landscape change were confounded by uncertainty, a Central Composite Design (CCD) sampling technique was employed to sample variations in the model driving variables, enabling the trajectories of gully response to different combinations of the driving conditions to be modelled explicitly. In some of these simulations, where the ranges of bedrock erodibility (0:03 - 0:04m0:2a).
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J.Leyland_-_Chines_Thesis.pdf
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Published date: May 2009
Organisations:
University of Southampton
Identifiers
Local EPrints ID: 69706
URI: http://eprints.soton.ac.uk/id/eprint/69706
PURE UUID: 816a8a0f-e92f-4914-8660-b3144b8bd855
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Date deposited: 27 Nov 2009
Last modified: 14 Mar 2024 02:50
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