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Capturing coastal morphological change within regional integrated assessment: an outcome-driven fuzzy logic approach

Capturing coastal morphological change within regional integrated assessment: an outcome-driven fuzzy logic approach
Capturing coastal morphological change within regional integrated assessment: an outcome-driven fuzzy logic approach
Climate change will have pervasive effects on the world’s coasts, but at broad scales
these changes have typically proven difficult to analyse in a systematic manner. This
paper explores an outcome-driven deductive methodology for geomorphological
analysis that structures current knowledge and understanding using fuzzy logic
concepts. Building on recent large-scale coastal investigations and with reference to a
case study of the East Anglian coast U.K, the methodology defines the active coastal
system using a flexible generic classification and integrates expert opinion, using the
notion of possibility, as a basis for the assessment of potential future
geomorphological response to changes in sea level and sediment supply.
The proposed methodology produces a robust qualitative structure for assessment and
forecasting of coastal geomorphology. Preliminary results for the East Anglian coast
suggest that shoreline management is already having, and will continue to be, a
significant influence on coastal evolution irrespective of the rate of sea-level rise.
Therefore, significant potential exists to guide future coastal evolution towards
preferred outcomes by using such methods as a component of adaptive shoreline
management. This methodology could be applied to a wide range of problems both in
geomorphology and other subjects
fuzzy logic, model framework, sea level, coastal management, sediment supply, east anglia
113
Tyndall Centre for Climate Change Research
Hanson, S
dad2cc4a-933c-4471-8a09-cb9748fbbd22
Nicholls, R. J.
4ce1e355-cc5d-4702-8124-820932c57076
Balson, P.
bfec3deb-5426-4fc9-8352-cb619f7a6366
Brown, I.
13b13988-789f-40e2-a2d8-8f326f68eedd
French, J.R.
719d0ebe-b924-45fb-8a88-27fd5b038806
Hanson, S
dad2cc4a-933c-4471-8a09-cb9748fbbd22
Nicholls, R. J.
4ce1e355-cc5d-4702-8124-820932c57076
Balson, P.
bfec3deb-5426-4fc9-8352-cb619f7a6366
Brown, I.
13b13988-789f-40e2-a2d8-8f326f68eedd
French, J.R.
719d0ebe-b924-45fb-8a88-27fd5b038806

Hanson, S, Nicholls, R. J., Balson, P., Brown, I. and French, J.R. (2007) Capturing coastal morphological change within regional integrated assessment: an outcome-driven fuzzy logic approach (Tyndall Working Papers, 113) Norwich, UK. Tyndall Centre for Climate Change Research 39pp.

Record type: Monograph (Working Paper)

Abstract

Climate change will have pervasive effects on the world’s coasts, but at broad scales
these changes have typically proven difficult to analyse in a systematic manner. This
paper explores an outcome-driven deductive methodology for geomorphological
analysis that structures current knowledge and understanding using fuzzy logic
concepts. Building on recent large-scale coastal investigations and with reference to a
case study of the East Anglian coast U.K, the methodology defines the active coastal
system using a flexible generic classification and integrates expert opinion, using the
notion of possibility, as a basis for the assessment of potential future
geomorphological response to changes in sea level and sediment supply.
The proposed methodology produces a robust qualitative structure for assessment and
forecasting of coastal geomorphology. Preliminary results for the East Anglian coast
suggest that shoreline management is already having, and will continue to be, a
significant influence on coastal evolution irrespective of the rate of sea-level rise.
Therefore, significant potential exists to guide future coastal evolution towards
preferred outcomes by using such methods as a component of adaptive shoreline
management. This methodology could be applied to a wide range of problems both in
geomorphology and other subjects

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More information

Published date: October 2007
Keywords: fuzzy logic, model framework, sea level, coastal management, sediment supply, east anglia

Identifiers

Local EPrints ID: 52825
URI: http://eprints.soton.ac.uk/id/eprint/52825
PURE UUID: 2df85301-bb4f-452b-95ba-62c860916d55
ORCID for R. J. Nicholls: ORCID iD orcid.org/0000-0002-9715-1109

Catalogue record

Date deposited: 25 Jul 2008
Last modified: 23 Jul 2022 01:52

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Contributors

Author: S Hanson
Author: R. J. Nicholls ORCID iD
Author: P. Balson
Author: I. Brown
Author: J.R. French

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