Five years on from the 2010-2011 Canterbury earthquakes, research has shown an increase in hyperarousal symptoms in school children. While Cognitive Behaviour Therapy is currently the gold standard for treating Post-Traumatic Stress, there are insufficient clinicians to treat the high numbers of children in post-disaster communities. Alternative non-verbal interventions in school based settings that target the physiological basis of hyperarousal may be more effective for long term stress reduction in some young children. Neuroscience research suggests that drawing activates brain areas connected with the autonomic nervous system, resulting in relaxation and self-regulation. The aim of the current study was to determine whether a 20-minute drawing lesson during the afternoon of the school day would reduce stress in children with hyperarousal symptoms. The study had a single subject ABA design. Four children participated, two of the children exhibited hyperarousal symptoms, and the other two did not, as determined by teacher and parent responses on the Behaviour Problem Index (BPI). The children’s selfreported stress (measured by the Subjective Unit of Distress (SUD) thermometer) and physiological stress (measured by finger temperature) were recorded at the start and end of each session during baseline, drawing lessons, and return to baseline phases. The results of the study showed a general reduction in physiological stress during the drawing lessons for the children with hyperarousal symptoms. However, the results indicated some discrepancies between the children’s physiological stress and perception of stress, which may suggest that the self-report measure was inappropriate for the children in this study. Overall, the study suggests that drawing lessons show promise as a school-based intervention for reducing stress in children with hyperarousal. More research is required to address the limitations of the present study, and before the study can be applied to the whole classroom as a positive strategy for managing stress at school.
Post-traumatic stress symptoms are a common reaction to experiencing a traumatic event such as a natural disaster. Young children may be at an increased risk for such mental health problems as these catastrophic events may coincide with developmentally sensitive periods of development. Treatments currently recommended for children with post-traumatic stress symptoms insufficiently acknowledge the role of neurobiological stress related systems responsible for these symptoms. As such, alternative approaches to the treatment of posttraumatic symptoms have been explored, with nature-based interventions offering a potential alternative based on two different theories that uphold the stress reducing benefits of natural environments. To date, there are a limited number of experimental studies that have explored the use of nature-based interventions with children, and no known research that has used a simulated nature experience with child participants. The purpose of this study was to investigate the effects of a simulated nature experience on the physiological and behavioural responses of children with post-traumatic stress symptoms that experienced the Christchurch earthquakes. A single-case research design with repeated measures of heart rate and teacherreported behaviour was gathered across a 20-day period. Heart rate data was collected before and after participants watched a 10-minute nature video, while data from a teacher rating scale provided information about the participants’ behaviours in the 30-minute period after they watched the nature video. Comparisons made to data collected during two different baseline phases indicated that the nature video intervention had no recognisable effects on the participants’ physiological and behavioural stress responses. Limitations to the current study are discussed as possible reasons for the incompatibility between the current study’s results and the findings from previous research. Suggestions are made for any future replications of the study.
Over the last six years, Canterbury residents have lived through two major earthquakes and thousands of aftershocks, with such events negatively impacting psychological health. Research shows rates of post-traumatic stress symptoms in children have doubled post-quake, and a classroom containing children who are experiencing chronically high physiological arousal has been shown to be a stressful environment for teachers. Such stress therefore negatively impacts teachers’ ability to sleep well, meaning many Christchurch teachers may suffer from insomnia, a debilitating condition leading to psychological distress and often comorbid with other mental health conditions. The present research sought to investigate the use of a broadspectrum micronutrient formula called EMPowerplus (EMP+) for chronic insomnia in teachers. This study examined the effect of EMP+ over an 8-10 week period using a multiple-baseline design with placebo. Seventeen teachers were randomized to one of three baseline sequences where they completed a one week baseline period, before receiving five, nine, or 14 days, of placebo as well as 8-10 weeks of the micronutrient formula. After completion of the trial, a three-month follow up was conducted. All participants completed the trial, and results showed a statistically reliable and clinically significant decrease in insomnia severity (Cohen’s dav = - 1.37), on at least one or more aspects of the sleep diary, and on emotional exhaustion (Cohen’s dav = -1.08). EMP+ also statistically significantly reduced insomnia severity compared to placebo (Cohen’s dav = -0.66). Statistically significant reduction was not seen in stress, anxiety and depression scores as compared to placebo, and these levels were not generally clinically raised to begin with. Sixteen out of 17 participants were compliant, and side effects were generally mild and transitory. The current study provides evidence for the beneficial effect of micronutrient supplementation on chronic insomnia in Christchurch teachers working in a stressful environment. Future research incorporating measurement of nutritional intake and proinflammatory biomarkers, as well as conducting comparisons to other conventional treatments, is recommended.
This study examines the performance of nonlinear total-stress wave-propagation site response analysis for modelling site effects in physics-based ground motion simulations of the 2010-2011 Canterbury, New Zealand earthquake sequence. This approach allows for explicit modeling of 3-dimensional ground motion phenomena at the regional scale, as well as detailed site effects and soil nonlinearity at the local scale. The approach is compared to a more commonly used empirical VS30 (30 m time-averaged shear wave velocity)-based method for computing site amplification as proposed by Graves and Pitarka (2010, 2015).
Semi-empirical models based on in-situ geotechnical tests have become the standard of practice for predicting soil liquefaction. Since the inception of the “simplified” cyclic-stress model in 1971, variants based on various in-situ tests have been developed, including the Cone Penetration Test (CPT). More recently, prediction models based soley on remotely-sensed data were developed. Similar to systems that provide automated content on earthquake impacts, these “geospatial” models aim to predict liquefaction for rapid response and loss estimation using readily-available data. This data includes (i) common ground-motion intensity measures (e.g., PGA), which can either be provided in near-real-time following an earthquake, or predicted for a future event; and (ii) geospatial parameters derived from digital elevation models, which are used to infer characteristics of the subsurface relevent to liquefaction. However, the predictive capabilities of geospatial and geotechnical models have not been directly compared, which could elucidate techniques for improving the geospatial models, and which would provide a baseline for measuring improvements. Accordingly, this study assesses the realtive efficacy of liquefaction models based on geospatial vs. CPT data using 9,908 case-studies from the 2010-2016 Canterbury earthquakes. While the top-performing models are CPT-based, the geospatial models perform relatively well given their simplicity and low cost. Although further research is needed (e.g., to improve upon the performance of current models), the findings of this study suggest that geospatial models have the potential to provide valuable first-order predictions of liquefaction occurence and consequence. Towards this end, performance assessments of geospatial vs. geotechnical models are ongoing for more than 20 additional global earthquakes.
The Canterbury Earthquake Sequence (CES) of 2010-2011 caused widespread liquefaction in many parts of Christchurch. Observations from the CES highlight some sites were liquefaction was predicted by the simplified method but did not manifest. There are a number of reasons why the simplified method may over-predict liquefaction, one of these is the dynamic interaction between soil layers within a stratified deposit. Soil layer interaction occurs through two key mechanisms; modification of the ground motion due to seismic waves passing through deep liquefied layers, and the effect of pore water seepage from an area of high excess pore water pressure to the surrounding soil. In this way, soil layer interaction can significantly alter the liquefaction behaviour and surface manifestation of soils subject to seismic loading. This research aimed to develop an understanding of how soil layer interaction, in particular ground motion modification, affects the development of excess pore water pressures and liquefaction manifestation in a soil deposit subject to seismic loading. A 1-D soil column time history Effective Stress Analysis (ESA) was conducted to give an in depth assessment of the development of pore pressures in a number of soil deposits. For this analysis, ground motions, soil profiles and model parameters were required for the ESA. Deconvolution of ground motions recorded at the surface during the CES was used to develop some acceleration time histories to input at the base of the soil-column model. An analysis of 55 sites around Christchurch, where detailed site investigations have been carried out, was then conducted to identify some simplified soil profiles and soil characteristics. From this analysis, four soil profiles representative of different levels of liquefaction manifestation were developed. These were; two thick uniform and vertically continuous sandy deposits that were representative of sites were liquefaction manifested in both the Mw 7.1 September 2010 and the Mw 6.3 February 2011 earthquakes, and two vertically discontinuous profiles with interlayered liquefiable and non-liquefiable layers representative of sites that did not manifest liquefaction in either the September 2010 or the February 2011 events. Model parameters were then developed for these four representative soil profiles through calibration of the constitutive model in element test simulations. Simulations were run for each of the four profiles subject to three levels of loading intensity. The results were analysed for the effect of soil layer interaction. These were then compared to a simplified triggering analysis for the same four profiles to determine where the simplified method was accurate in predicting soil liquefaction (for the continuous sandy deposits) and were it was less accurate (the vertically discontinuous deposits where soil layer interaction was a factor).
Between 2010 and 2011, Canterbury experienced a series of four large earthquake events with associated aftershocks which caused widespread damage to residential and commercial infrastructure. Fine grained and uncompacted alluvial soils, typical to the Canterbury outwash plains, were exposed to high peak ground acceleration (PGA) during these events. This rapid increase in PGA induced cyclic strain softening and liquefaction in the saturated, near surface alluvial soils. Extensive research into understanding the response of soils in Canterbury to dynamic loading has since occurred. The Earthquake Commission (EQC), the Ministry of Business and Employment (MBIE), and the Christchurch City Council (CCC) have quantified the potential hazards associated with future seismic events. Theses bodies have tested numerous ground improvement design methods, and subsequently are at the forefront of the Canterbury recovery and rebuild process. Deep Soil Mixing (DSM) has been proven as a viable ground improvement foundation method used to enhance in situ soils by increasing stiffness and positively altering in situ soil characteristics. However, current industry practice for confirming the effectiveness of the DSM method involves specific laboratory and absolute soil test methods associated with the mixed column element itself. Currently, the response of the soil around the columns to DSM installation is poorly understood. This research aims to understand and quantify the effects of DSM columns on near surface alluvial soils between the DSM columns though the implementation of standardised empirical soil test methods. These soil strength properties and ground improvement changes have been investigated using shear wave velocity (Vs), soil behaviour and density response methods. The results of the three different empirical tests indicated a consistent improvement within the ground around the DSM columns in sandier soils. By contrast, cohesive silty soils portrayed less of a consistent response to DSM, although still recorded increases. Generally, within the tests completed 50 mm from the column edge, the soil response indicated a deterioration to DSM. This is likely to be a result of the destruction of the soil fabric as the stress and strain of DSM is applied to the un‐mixed in situ soils. The results suggest that during the installation of DSM columns, a positive ground effect occurs in a similar way to other methods of ground improvement. However, further research, including additional testing following this empirical method, laboratory testing and finite 2D and 3D modelling, would be useful to quantify, in detail, how in situ soils respond and how practitioners should consider these test results in their designs. This thesis begins to evaluate how alluvial soils tend to respond to DSM. Conducting more testing on the research site, on other sites in Christchurch, and around the world, would provide a more complete data set to confirm the results of this research and enable further evaluation. Completing this additional research could help geotechnical DSM practitioners to use standardised empirical test methods to measure and confirm ground improvement rather than using existing test methods in future DSM projects. Further, demonstrating the effectiveness of empirical test methods in a DSM context is likely to enable more cost effective and efficient testing of DSM columns in future geotechnical projects.
