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Research papers, Victoria University of Wellington

The last seven years have seen southern New Zealand a ected by several large and damaging earthquakes: the moment magnitude (MW) 7.8 Dusky Sound earthquake on 15 July 2009, the MW 7.1 Dar eld (Canterbury) earthquake on 4 September 2010, and most notably the MW 6.2 Christchurch earthquake on 22 February 2011 and the protracted aftershock sequence. In this thesis, we address the postseismic displacement produced by these earthquakes using methods of satellite-based geodetic measurement, known as Interferometric Synthetic Aperture Radar (InSAR) and Global Positioning System (GPS), and computational modelling.  We observe several ground displacement features in the Canterbury and Fiordland regions during three periods: 1) Following the Dusky Sound earthquake; 2) Following the Dar eld earthquake and prior to the Christchurch earthquake; and 3) Following the Christchurch earthquake until February 2015.  The ground displacement associated with postseismic motion following the Dusky Sound earthquake has been measured by continuous and campaign GPS data acquired in August 2009, in conjunction with Di erential Interferometric Synthetic Aperture Radar (DInSAR) observations. We use an afterslip model, estimated by temporal inversion of geodetic data, with combined viscoelastic rebound model to account for the observed spatio-temporal patterns of displacement. The two postseismic processes together induce a signi cant displacement corresponding to principal extensional and contractual strain rates of the order of 10⁻⁷ and 10⁻⁸ yr⁻¹ respectively, across most of the southern South Island.  We also analyse observed postseismic displacement following the Dusky Sound earthquake using a new inversion approach in order to describe afterslip in an elasticviscoelastic medium. We develop a mathematical framework, namely the "Iterative Decoupling of Afterslip and Viscoelastic rebound (IDAV)" method, with which to invert temporally dense and spatially sparse geodetic observations. We examine the IDAV method using both numerical and analytical simulations of Green's functions.  For the post-Dar eld time interval, postseismic signals are measured within approximately one month of the mainshock. The dataset used for the post-Dar eld displacement spans the region surrounding previously unrecognised faults that ruptured during the mainshock. Poroelastic rebound in a multi-layered half-space and dilatancy recovery at shallow depths provide a satisfactory t with the observations.  For the post-Christchurch interval, campaign GPS data acquired in February 2012 to February 2015 in four successive epochs and 66 TerraSAR-X (TSX) SAR acquisitions in descending orbits between March 2011 and May 2014 reveal approximately three years of postseismic displacement. We detect movement away from the satellite of ~ 3 mm/yr in Christchurch and a gradient of displacement of ~ 4 mm/yr across a lineament extending from the westernmost end of the Western Christchurch Fault towards the eastern end of the Greendale East Fault. The postseismic signals following the Christchurch earthquake are mainly accounted for by afterslip models on the subsurface lineament and nearby faults.

Research Papers, Lincoln University

On November 14, 2016 an earthquake struck the rural districts of Kaikōura and Hurunui on New Zealand’s South Island. The region—characterized by small dispersed communities, a local economy based on tourism and agriculture, and limited transportation connections—was severely impacted. Following the quake, road and rail networks essential to maintaining steady flows of goods, visitors, and services were extensively damaged, leaving agrifood producers with significant logistical challenges, resulting in reduced productivity and problematic market access. Regional tourism destinations also suffered with changes to the number, characteristics, and travel patterns of visitors. As the region recovers, there is renewed interest in the development and promotion of agrifood tourism and trails as a pathway for enhancing rural resilience, and a growing awareness of the importance of local networks. Drawing on empirical evidence and insights from a range of affected stakeholders, including food producers, tourism operators, and local government, we explore the significance of emerging agrifood tourism initiatives for fostering diversity, enhancing connectivity, and building resilience in the context of rural recovery. We highlight the motivation to diversify distribution channels for agrifood producers, and strengthen the region’s tourism place identity. Enhancing product offerings and establishing better links between different destinations within the region are seen as essential. While such trends are common in rural regions globally, we suggest that stakeholders’ shared experience with the earthquake and its aftermath has opened up new opportunities for regeneration and reimagination, and has influenced current agrifood tourism trajectories. In particular, additional funding for tourism recovery marketing and product development after the earthquake, and an emphasis on greater connectivity between the residents and communities through strengthening rural networks and building social capital within and between regions, is enabling more resilient and sustainable futures.