UC Research Repository

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The UC Research Repository collects, stores and makes available original research from postgraduate students, researchers and academics based at the University of Canterbury.



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ItemOpen Access
Adoptee activism: I am not your “child for all purposes”.
(2022) Blake, Denise; Ahuriri-Driscoll, Annabel; Sumner , Barbara
In this article, we, three adoptee scholars, share collectively our experiences of adoption while engaging in activism that contests adoption practices. We apply autoethnographic and re!exive strategies to unpack our shared conversation in order to foreground the plight of adoptees and o"er insight into adoption and the importance of the current law reform in Aotearoa New Zealand. We draw on a model of adoptee consciousness to frame the complexity of our ‘lived experience’ and activism. In doing this we outline some of the challenges we face as adoptees because adoption, as a human-rights injustice, is largely misunderstood, overlooked, or ignored. To begin, however, it is necessary to outline the history of closed stranger adoption in Aotearoa New Zealand with the purpose of providing context.
ItemOpen Access
Nutrient treatment of greywater in green wall systems: A critical review of removal mechanisms, performance efficiencies and system design parameters.
(Elsevier BV, 2023) Gholami , Moeen; O'Sullivan, Aisling Dominique; Mackey, Hamish
Greywater has lower pathogen and nutrient levels than other mixed wastewaters, making it easier to treat and to reuse in nature-based wastewater treatment systems. Green walls (GWs) are one type of nature-based solutions (NBS) that are evolving in design to support on-site and low-cost greywater treatment. Greywater treatment in GWs involves interacting and complex physical, chemical, and biological processes. Design and operational considerations of such green technologies must facilitate these pivotal processes to achieve effective greywater treatment. This critical review comprehensively analyses the scientific literature on nutrient removal from greywater in GWs. It discusses nutrient removal efficiency in different GW types. Total nitrogen removal ranges from 7 to 91% in indirect green facades (IGF), 48–93% for modular living walls (MLW), and 8–26% for continuous living walls (CLW). Total phosphorus removal ranges from 7 to 67% for IGF and 2–53% for MLW. The review also discusses the specific nutrient removal mechanisms orchestrated by vegetation, substrates, and biofilms to understand their role in nitrogen and phosphorus removal within GWs. The effects of key GW design parameters on nutrient removal, including substrate characteristics, vegetation species, biodegradation, temperature, and operating parameters such as irrigation cycle and hydraulic loading rate, are assessed. Results show that greater substrate depth enhances nutrient removal efficiency in GWs by facilitating efficient filtration, straining, adsorption, and various biological processes at varying depths. Particle size and pore size are critical substrate characteristics in GWs. They can significantly impact the effectiveness of physicochemical and biological removal processes by providing sufficient pollutant contact time, active surface area, and by influencing saturation and redox conditions. Hydraulic loading rate (HLR) also impacts the contact time and redox conditions. An HLR between 50 and 60 mm/d during the vegetation growing season provides optimal nutrient removal. Furthermore, nutrient removal was higher when watering cycles were customized to specific vegetation types and their drought tolerances.
ItemOpen Access
The Australian and New Zealand Virtual Worlds Working Group: A Collaborative Community of Practice
(2013) Farley, Helen; Gregory, Sue; Grant, Scott; Butler, Des; Jacka, Lisa; Orwin , Lindy; Jones, Janice K.
The Australian and New Zealand Virtual Worlds Working Group has an informal membership of nearly 200 members with an interest in education and virtual worlds within the Australian and New Zealand context. Members come from a variety of academic disciplines and may be teaching or research academics, Research Higher Degree candidates, project managers, virtual world builders and developers. The group acts as an informal Community of Practice, facilitating learning and the transfer of skills through social contact, opportunities to collaborate on projects and publications, and through the sharing of knowledge and experience. This poster provides a snapshot of the activity of this highly active group.
ItemOpen Access
Challenges in deploying educational technologies for tertiary education in the carceral setting: Reconnecting or connecting?
(ASCILITE, 2022) Farley, Helen; Wilson S; Arthars N; Wardak D; Yeoman P; Kalman E; Liu D
With the COVID-19 pandemic, educators across the globe pivoted to using educational technologies such as lecture capture, video conferencing and discussion boards to reconnect with learners. For incarcerated learners, this was not an option due to the dearth of technologies and internet access in most correctional jurisdictions. As many tertiary education institutions leverage the affordances of digital technologies to increase access to learning and reconnect with learners, they are inadvertently excluding a large cohort, incarcerated learners. Prisons are typically technology poor and prohibit access, at least to some degree, to the internet. This paper examines some of the common challenges to the deployment of educational technology in prisons to reconnect with incarcerated learners. They are classified as physical challenges, operational challenges, attitudinal challenges, and human challenges.
ItemOpen Access
Uncertainty estimation of connected vehicle penetration rate
(Institute for Operations Research and the Management Sciences (INFORMS), 2022) Jia , Shaocheng; Wong , S. C.; Wong , Wai
Knowledge of the connected vehicle (CV) penetration rate is crucial for realizing numerous beneficial applications during the prolonged transition period to full CV deployment. A recent study described a novel single-source data penetration rate estimator (SSDPRE) for estimating the CV penetration rate solely from CV data. However, despite the unbiasedness of the SSDPRE, it is only a point estimator. Consequently, given the typically nonlinear nature of transportation systems, model estimations or system optimizations conducted with the SSDPRE without considering its variability can generate biased models or suboptimal solutions. Thus, this study proposes a probabilistic penetration rate model for estimating the variability of the results generated by the SSDPRE. An essential input for this model is the constrained queue length distribution, which is the distribution of the number of stopping vehicles in a signal cycle. An exact probabilistic dissipation time model and a simplified constant dissipation time model are developed for estimating this distribution. In addition, to improve the estimation accuracy in real-world situations, the braking and start-up motions of vehicles are considered by constructing a constant time loss model for use in calibrating the dissipation time models. VISSIM simulation demonstrates that the calibrated models accurately describe constrained queue length distributions and estimate the variability of the results generated by the SSDPRE. Furthermore, applications of the calibrated models to the next-generation simulation data set and a simple CV-based adaptive signal control scheme demonstrate the readiness of the models for use in real-world situations and the potential of the models to improve system optimizations. Funding: This work was supported by The University of Hong Kong [Francis S Y Bong Professorship in Engineering and Postgraduate Scholarship] and by the Council of the Hong Kong Special Administrative Region, China [Grants 17204919 and 17205822]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/trsc.2023.1209 .