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Research papers, University of Canterbury Library

Recent surface-rupturing earthquakes in New Zealand have highlighted significant exposure and vulnerability of the road network to fault displacement. Understanding fault displacement hazard and its impact on roads is crucial for mitigating risks and enhancing resilience. There is a need for regional-scale assessments of fault displacement to identify vulnerable areas within the road network for the purposes of planning and prioritising site-specific investigations. This thesis employs updated analysis of data from three historical surface-rupturing earthquakes (Edgecumbe 1987, Darfield 2010, and Kaikoūra 2016) to develop an empirical model that addresses the gap in regional fault displacement hazard analysis. The findings contribute to understanding of • How to use seismic hazard model inputs for regional fault displacement hazard analysis • How faulting type and sediment cover affects the magnitude and spatial distribution of fault displacement • How the distribution of displacement and regional fault displacement hazard is impacted by secondary faulting • The inherent uncertainties and limitations associated with employing an empirical approach at a regional scale • Which sections of New Zealand’s roading network are most susceptible to fault displacement hazard and warrant site-specific investigations • Which regions should prioritise updating emergency management plans to account for post-event disruptions to roading. I used displacement data from the aforementioned historical ruptures to generate displacement versus distance-to-fault curves for various displacement components, fault types, and geological characteristics. Using those relationships and established relationships for along-strike displacement, displacement contours were generated surrounding active faults within the NZ Community Fault Model. Next, I calculated a new measure of 1D strain along roads as well as relative hazard, which integrated 1D strain and normalised slip rate data. Summing these values at the regional level identified areas of heightened relative hazard across New Zealand, and permits an assessment of the susceptibility of road networks using geomorphon land classes as proxies for vulnerability. The results reveal that fault-parallel displacements tend to localise near the fault plane, while vertical and fault-perpendicular displacements sustain over extended distances. Notably, no significant disparities were observed in off-fault displacement between the hanging wall and footwall sides of the fault, or among different surface geology types, potentially attributed to dataset biases. The presence of secondary faulting in the dataset contributes to increased levels of tectonic displacement farther from the fault, highlighting its significance in hazard assessments. Furthermore, fault displacement contours delineate broader zones around dip-slip faults compared to strike-slip faults, with correlations identified between fault length and displacement width. Road ‘strain’ values are higher around dip-slip faults, with notable examples observed in the Westland and Buller Districts. As expected, relative hazard analysis revealed elevated values along faults with high slip rates, notably along the Alpine Fault. A regional-scale analysis of hazard and exposure reveals heightened relative hazard in specific regions, including Wellington, Southern Hawke’s Bay, Central Bay of Plenty, Central West Coast, inland Canterbury, and the Wairau Valley of Marlborough. Notably, the Central West Coast exhibits the highest summed relative hazard value, attributed to the fast-slipping Alpine Fault. The South Island generally experiences greater relative hazard due to larger and faster-slipping faults compared to the North Island, despite having fewer roads. Central regions of New Zealand face heightened risk compared to Southern or Northern regions. Critical road links intersecting high-slipping faults, such as State Highways 6, 73, 1, and 2, necessitate prioritisation for site-specific assessments, emergency management planning and targeted mitigation strategies. Roads intersecting with the Alpine Fault are prone to large parallel displacements, requiring post-quake repair efforts. Mitigation strategies include future road avoidance of nearby faults, modification of road fill and surface material, and acknowledgement of inherent risk, leading to prioritised repair efforts of critical roads post-quake. Implementing these strategies enhances emergency response efforts by improving accessibility to isolated regions following a major surface-rupturing event, facilitating faster supply delivery and evacuation assistance. This thesis contributes to the advancement of understanding fault displacement hazard by introducing a novel regional, empirical approach. The methods and findings highlight the importance of further developing such analyses and extending them to other critical infrastructure types exposed to fault displacement hazard in New Zealand. Enhancing our comprehension of the risks associated with fault displacement hazard offers valuable insights into various mitigation strategies for roading infrastructure and informs emergency response planning, thereby enhancing both national and global infrastructure resilience against geological hazards.

Research papers, University of Canterbury Library

Picture this, you are relaxing at home enjoying the afternoon sun. It is another beautiful Christchurch day in late 2017. There is a knock at the door, you’ve been expecting it. It is a member of the Christchurch Health and Development Study, here to conduct your prearranged interview. The interview request did not come as a surprise of course, you have been participating in these interviews yourself sporadically throughout your adult life, and prior to that you attended many alongside your parents. In fact, you have been answering the studies interview your whole life. Transcripts of these interviews sit in the studies database alongside copies of school reports, health records and a wealth of other information. It has been this way since birth, since your mother was approached back in 1977, not long after you had arrived in this world, and asked if she would consent to participating in the study. She, along with many other Cantabrian new mothers from that year, agreed and the Christchurch Health and Development Study was born. Since then, these interviews have become a matter of routine for you. As life went on many things changed, but one thing that was constant was the sporadic visit from an interviewer of the study. The current interview is a little different from most of the others, however. Last time an interviewer visited in 2012, you were asked if you would like to conduct an earthquake-specific interview, you agreed. This time, the same question was asked. Why? Well because you were there that day of course. The day of the 22nd February 2011 when a major earthquake struck Canterbury. You were there in the centre of the city as buildings came crashing down and people ran for safety. You were there for the chaos. Your knee dully aches, it never did quite heal properly and strangely seems to flare up whenever you think back to that day. A lasting reminder. It is a difficult subject, but you agree to the second earthquake-specific interview. You understand the purpose of the study, and the value of the data collected. You take a sip of the cup of tea politely made upon the interviewer’s arrival, lean back into the comfort of your couch and cast your mind back to that fateful day. So, what does this study mean? Why still participate, all these years later? Over time it has become more apparent as to how valuable this information could be, considering all the experiences through the life course, and to think of the experiences that others in the cohort have had too. How differently have events affected people from all walks of life, who just so happened to be born within the same few months. We can use the data from this study to better understand situations when using life course characteristics which can hopefully influence decision making and population health within New Zealand.