This thesis is a theoretical exploration of ‘remembrance’ and its production in the interactions between people/s and the landscape. This exploration takes place in the broad context of post earthquake Christchurch with a focus on public spaces along the Ōtākaro – Avon river corridor. Memory is universal to human beings, yet memories are subjective and culturally organized and produced - the relationship between memory and place therefore operates at individual and collective levels. Design responses that facilitate opportunities to create new memories, and also acknowledge the remembered past of human – landscape relationships are critical for social cohesion and wellbeing. I draw on insights from a range of theoretical sources, including critical interpretive methodologies, to validate subjective individual and group responses to memory and place. Such approaches also allowed me, as the researcher, considerable freedom to apply memory theory through film to illustrate ways we can re-member ourselves to our landscapes. The Ōtākaro-Avon river provided the site through and in which film strategies for remembrance are explored. Foregrounding differences in Māori and settler cultural orientations to memory and landscape, has highlighted the need for landscape design to consider remembrance - those cognitive and unseen dimensions that intertwine people and place. I argue it is our task to make space for such diverse relationships, and to ensure these stories and memories, embodied in landscape can be read through generations. I do not prescribe methods or strategies; rather I have sought to encourage thinking and debate and to suggest approaches through which the possibilities for remembrance may be enhanced.
Prognostic modelling provides an efficient means to analyse the coastal environment and provide effective knowledge for long term urban planning. This paper 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 (BeachMM tool). The statutory requirements outlined in the New Zealand Coastal Policy Statement 2010 were examined to determine whether these requirements are currently being complied with when applying the recent sea level rise predictions by the Intergovernmental Panel on Climate Change (2013), and it would appear that it does not meet those requirements. This is because coastal hazard risk has not been thoroughly quantified by the installation of the Canterbury Earthquake Recovery Authority (CERA) residential red zone. However, the Christchurch City Council’s (CCC) flood management area does provide an extent to which managed coastal retreat is a real option. This research assessed the effectiveness of the prognostic models, forecasted a coastline for 100 years from now, and simulated the physical effects of extreme events such as storm surge given these future predictions. The results of this research suggest that progradation will continue to occur along the Christchurch foreshore due to the net sediment flux retaining an onshore direction and the current hydrodynamic activity not being strong enough to move sediment offshore. However, inundation during periods of storm surge poses a risk to human habitation on low lying areas around the Avon-Heathcote Estuary and the Brooklands lagoon similar to the CCC’s flood management area. There are complex interactions at the Waimakariri River mouth with very high rates of accretion and erosion within a small spatial scale due to the river discharge. There is domination of the marine environment over the river system determined by the lack of generation of a distinct river delta, and river channel has not formed within the intertidal zone clearly. The Avon-Heathcote ebb tidal delta aggrades on the innner fan and erodes on the outer fan due to wave domination. The BeachMM tool facilitates the role of spatial and temporal analysis effectively and the efficiency of that performance is determined by the computational operating system.