In the beginning there was no Te Wai Pounamu or Aotearoa. The waters of Kiwa rolled over the place now occupied by the South Island, the North Island and Stewart Island. No sign of land existed. Before Raki (the Sky … Continue reading →
Since the 7.8 magnitude earthquake jolted North Canterbury on Monday, the HMNZS Canterbury has evacuated about 640 people, 9.3 tonnes of baggage, a cat, 17 dogs. And, about 30,000 bees. But South Island beekeepers will face ongoing challenges. John Hartnell, is a Canterbury-based board member of Apiculture New Zealand.
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.
NUK KORAKO to the Minister of Finance: How does New Zealand’s growing economy and the Government’s commitment to responsible fiscal management mean New Zealand is well-placed to respond to the Kaikōura earthquake? ANDREW LITTLE to the Prime Minister: Has he spoken to relevant Ministers about the lessons learned from the Canterbury earthquakes to ensure people affected by the recent earthquakes have an easier and faster recovery? STUART SMITH to the Minister of Civil Defence: What update can he provide about the Government’s response to the Kaikōura earthquake? RON MARK to the Prime Minister: Can he update the House on the situation in quake-affected areas in the South Island? JAMES SHAW to the Prime Minister: Is he committed to all his Government’s policies? Hon ANNETTE KING to the Minister of Health: Does he stand by his statement that following the Valentine’s Day earthquake this year in Canterbury, “it was timely to review whether any additional mental health and wellbeing support was needed”; if so, will he consider reviewing whether any additional support is needed for Canterbury and Nelson-Marlborough district health boards as a result of the recent earthquakes? JACQUI DEAN to the Minister of Transport: What updates has he received on damage to transport infrastructure following the Kaikōura earthquake? JAN LOGIE to the Minister for Workplace Relations and Safety: What is his response to yesterday’s call from members of the Joint Working Group on Pay Equity Principles for the Government to “immediately right this historic wrong and implement the JWG principles”? JACINDA ARDERN to the Minister for Economic Development: When is he likely to announce a recovery or support package for small businesses in earthquake-affected areas? KANWALJIT SINGH BAKSHI to the Minister of Police: What are New Zealand Police doing to support the Kaikōura community? CHRIS HIPKINS to the Minister of Education: When did she first discuss the potential impact of Monday’s 7.5 earthquake on NCEA and Scholarship exams with the New Zealand Qualifications Authority? IAN McKELVIE to the Minister for Primary Industries: What recent reports has he received on the impact of the recent earthquakes on the primary sector?
Tsunami have the potential to cause significant disruptions to society, including damage to infrastructure, critical to the every-day operation of society. Effective risk management is required to reduce the potential tsunami impacts to them. Christchurch city, situated on the eastern coast of New Zealand’s South Island, is exposed to a number of far-field tsunami hazards. Although the tsunami hazard has been well identified for Christchurch city infrastructure, the likely impacts have not been well constrained. To support effective risk management a credible and realistic infrastructure impact model is required to inform risk management planning. The objectives of this thesis are to assess the impacts on Christchurch city infrastructure from a credible, hypothetical far-field tsunami scenario. To achieve this an impact assessment process is adopted, using tsunami hazard and exposure measures to determine asset vulnerability and subsequent impacts. However, the thesis identified a number of knowledge gaps in infrastructure vulnerability to tsunami. The thesis addresses this by using two approaches: a tsunami damage matrix; and the development of tsunami fragility functions. The tsunami damage matrix pools together tsunami impacts on infrastructure literature, and post-event field observations. It represents the most comprehensive ‘look-up’ resource for tsunami impacts to infrastructure to date. This damage matrix can inform the assessment of tsunami impacts on Christchurch city infrastructure by providing a measure of damage likelihood at various hazard intensities. A more robust approach to tsunami vulnerability of infrastructure are fragility functions, which are also developed in this thesis. These were based on post-event tsunami surveys of the 2011 ‘Tohoku’ earthquake tsunami in Japan. The fragility functions are limited to road and bridge infrastructure, but represent the highest resolution measure of vulnerability for the given assets. As well as providing a measure of damage likelihood for a given tsunami hazard intensity, these also indicate a level of asset damage. The impact assessment process, and synthesized vulnerability measures, are used to run tsunami impact models for Christchurch infrastructure to determine the probability of asset damage occurring and to determine if impact will reach or exceed a given damage state. The models suggest that infrastructure damage is likely to occur in areas exposed to tsunami inundation in this scenario, with significant damage identified for low elevation roads and bridges. The results are presented and discussed in the context of the risk management framework, with emphasis on using risk assessment to inform risk treatment, monitoring and review. In summary, this thesis A) advances tsunami vulnerability and impact assessment methodologies for infrastructure and B) provides a tsunami impact assessment framework for Christchurch city infrastructure which will inform infrastructure tsunami risk management for planners, emergency managers and lifelines groups.