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Prognostic modelling provides an efficient means to analyse the coastal environment and provide effective knowledge for long term urban planning. This research outlines how the use of SWAN and XBeach numerical models within the ESRI ArcGIS interface can simulate geomorphological evolution through hydrodynamic forcing for the Greater Christchurch coastal environment. This research followed the data integration techniques of Silva and Taborda (2012) and utilises their beach morphological modelling tool, the BeachMM tool.

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Ashton Eaves grew up in North Canterbury, New Zealand. He studied geography (BSc Hons) and environmental science (MApplSc) at the University of Canterbury and Lincoln University respectively, specialising in coastal science. Ashton now works as an environmental scientist on the West Coast of New Zealand.

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