Broad-scale morphodynamic shoreline modelling within a Standalone GIS coastal management tool: GTI-SEAMaT

Stripling, S. and Panzeri, M. and Kemp, J. and Brampton, A. (2007) Broad-scale morphodynamic shoreline modelling within a Standalone GIS coastal management tool: GTI-SEAMaT. In: ICE Coastal Management 2007, 31 October - 1 November 2007, Cardiff, UK.

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Official URL: https://www.icevirtuallibrary.com/doi/abs/10.1680/...

Abstract

Beaches form a natural flood-defence for many coastal areas, and the standard of defence they offer depends on their condition (i.e. width, crest level, cross-sectional area etc) which changes over time and along the coastline. A Flood-Risk Assessment (FRA) helps to set criteria for how coastal managers should maintain or improve beaches to better fulfil their role as flood defences. To carry out accurate FRAs, knowledge of when and how the condition of beaches may alter is important. However, the prediction of beach morphology over the spatial and temporal scales required by FRA is not straightforward. The Tyndall Centre's Regional Coastal Simulator (RCS) has begun to address the problem (Pearson et al. 2005). The research presented here has similar aims to those of the RCS; however, effort has been concentrated in achieving reliable wave climate representation, detailed sediment transport evaluation, and exploitation of proprietary GIS database management capabilities using the new standalone systems-based GIS management tool: GTI-SEAMaT (Geographical Temporal Interface - Shoreline and Environment Analysis and Management Tool). A description of the modular GTI-SEAMaT system is presented, drawing upon examples of its application along various coastlines both in the UK, and abroad.

Item Type: Conference or Workshop Item (Paper)
Subjects: Coasts > General
Coasts > Coastal management
Divisions: Coastal
Depositing User: Unnamed user with email i.services@hrwallingford.com
Date Deposited: 02 Apr 2020 09:47
Last Modified: 24 Apr 2020 11:08
URI: http://eprints.hrwallingford.com/id/eprint/626

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