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Videos, UC QuakeStudies

A video of a presentation by Dr Scott Miles during the Community Resilience Stream of the 2016 People in Disasters Conference. The presentation is titled, "A Community Wellbeing Centric Approach to Disaster Resilience".The abstract for this presentation reads as follows: A higher bar for advancing community disaster resilience can be set by conducting research and developing capacity-building initiatives that are based on understanding and monitoring community wellbeing. This presentation jumps off from this view, arguing that wellbeing is the most important concept for improving the disaster resilience of communities. The presentation uses examples from the 2010 and 2011 Canterbury earthquakes to illustrate the need and effectiveness of a wellbeing-centric approach. While wellbeing has been integrated in the Canterbury recovery process, community wellbeing and resilience need to guide research and planning. The presentation unpacks wellbeing in order to synthesize it with other concepts that are relevant to community disaster resilience. Conceptualizing wellbeing as either the opportunity for or achievement of affiliation, autonomy, health, material needs, satisfaction, and security is common and relatively accepted across non-disaster fields. These six variables can be systematically linked to fundamental elements of resilience. The wellbeing variables are subject to potential loss, recovery, and adaptation based on the empirically established ties to community identity, such as sense of place. Variables of community identity are what translate the disruption, damage, restoration, reconstruction, and reconfiguration of a community's different critical services and capital resources to different states of wellbeing across a community that has been impacted by a hazard event. With reference to empirical research and the Canterbury case study, the presentation integrates these insights into a robust framework to facilitate meeting the challenge of raising the standard of community disaster resilience research and capacity building through development of wellbeing-centric approaches.

Videos, UC QuakeStudies

A video of a presentation by Richard Conlin during the Community Resilience Stream of the 2016 People in Disasters Conference. The presentation is titled, "Resilience, Poverty, and Seismic Culture".The abstract for this presentation reads as follows: A strategy of resilience is built around the recognition that effective emergency response requires community involvement and mobilization. It further recognizes that many of the characteristics that equip communities to respond most effectively to short term emergencies are also characteristics that build strong communities over the long term. Building resilient communities means integrating our approaches to poverty, community engagement, economic development, and housing into a coherent strategy that empowers community members to engage with each other and with other communities. In this way, resilience becomes a complementary concept to sustainability. This requires an asset-based change strategy where external agencies meet communities where they are, in their own space, and use collective impact approaches to work in partnership. This also requires understanding and assessing poverty, including physical, financial, and social capital in their myriad manifestations. Poverty is not exclusively a matter of class. It is a complex subject, and different communities manifest multiple versions of poverty, which must be respected and understood through the asset-based lens. Resilience is a quality of a community and a system, and develops over time as a result of careful analysis of strengths and vulnerabilities and taking actions to increase competencies and reduce risk situations. Resilience requires maintenance and must be developed in a way that includes practicing continuous improvement and adaptation. The characteristics of a resilient community include both physical qualities and 'soft infrastructure', such as community knowledge, resourcefulness, and overall health. This presentation reviews the experience of some earlier disasters, outlines a working model of how emergency response, resilience, and poverty interact and can be addressed in concert, and concludes with a summary of what the 2010 Chilean earthquake tells us about how a 'seismic culture' can function effectively in communities even when government suffers from unexpected shortcomings.

Research papers, University of Canterbury Library

This poster presents work to date on ground motion simulation validation and inversion for the Canterbury, New Zealand region. Recent developments have focused on the collection of different earthquake sources and the verification of the SPECFEM3D software package in forward and inverse simulations. SPECFEM3D is an open source software package which simulates seismic wave propagation and performs adjoint tomography based upon the spectral-element method. Figure 2: Fence diagrams of shear wave velocities highlighting the salient features of the (a) 1D Canterbury velocity model, and (b) 3D Canterbury velocity model. Figure 5: Seismic sources and strong motion stations in the South Island of New Zealand, and corresponding ray paths of observed ground motions. Figure 3: Domain used for the 19th October 2010 Mw 4.8 case study event including the location of the seismic source and strong motion stations. By understanding the predictive and inversion capabilities of SPECFEM3D, the current 3D Canterbury Velocity Model can be iteratively improved to better predict the observed ground motions. This is achieved by minimizing the misfit between observed and simulated ground motions using the built-in optimization algorithm. Figure 1 shows the Canterbury Velocity Model domain considered including the locations of small-to-moderate Mw events [3-4.5], strong motion stations, and ray paths of observed ground motions. The area covered by the ray paths essentially indicates the area of the model which will be most affected by the waveform inversion. The seismic sources used in the ground motion simulations are centroid moment tensor solutions obtained from GeoNet. All earthquake ruptures are modelled as point sources with a Gaussian source time function. The minimum Mw limit is enforced to ensure good signal-to-noise ratio and well constrained source parameters. The maximum Mw limit is enforced to ensure the point source approximation is valid and to minimize off-fault nonlinear effects.