230 resultados para FLOW-RESERVE


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Bargara Pasturage Reserve: Future Visions This exhibition showcases the work of Postgraduate Landscape Architecture and final year Undergraduate Civil and Environmental Engineering students in response to issues of sustainability in a coastal wetland known as the Bargara Pasturage Reserve; an exemplar of the many issues facing sensitive coastal places in Queensland today. The 312ha Pasturage Reserve at Bargara is the only biofilter between the pressures of Bargara’s urban and tourism expansion, surrounding sugarcane farming, and the Great Sandy Marine Park, including the largest concentration of nesting marine turtles on the eastern Australian mainland. This ephemeral wetland, while struggling to fulfil its coastal biofiltration function, is also in high demand for passive recreation, and the project partners’ priorities were to meet both of these challenges. The students were required to plan and design for the best balance possible amongst, but not limited to: wetland and coastal ecological health, enhancement of cultural heritage and values, sustainable urban development, and local economic health. To understand these challenges, QUT staff and students met with partners, visited and analysed the Pasturage Reserve, spent time in and around Bargara talking to locals and inviting dialogue with Indigenous representatives and the South Sea Islander community. We then went home to Brisbane to undertake theoretical and technical research, and then worked to produce 11 Strategic Plans, 2 Environmental Management Plans and 33 Detailed Designs. One group of students analysed the Bargara coastal landscape as an historical and ongoing series of conversations between ecological systems, cultural heritage, community and stakeholders. Another group identified the landscape as neither ‘urban,’ ‘rural,’ nor ‘natural,’ instead identifying it metaphorically as a series of layered thematic ‘fields’ such as water, conservation, reconciliation, and educational fields. These landscape analyses became the organising mechanisms for strategic planning. An outstanding Strategic Plan was produced by Zhang, Lemberg and Jensen, entitled Metanoia, which means to ‘make a change as the result of reflection on values’. Three implementation phases of “flow”, “flux”, and “flex” span twenty-five years, and present a vision a coastal and marine research and conservation hub, with a focus on coastal wetland function, turtle habitat and coral reef conservation. An Environmental Management Plan by Brand and Stickland focuses on protecting and improving wetland biodiversity and habitat quality, and increasing hydrological and water quality function; vital in a coastal area of such high conservation value. After the planning phase, students individually developed detailed design proposals responsive to their plans. From Metanoia, Zhang concentrated on wetland access and interpretation, proposing four focal places to form the nucleus of a wider pattern of connectivity, and to encourage community engagement with coastal environmental management and education. Jensen tackled the thorny issue of coastal urban development, proposing a sensitive staged eco-village model which maintains both ecological and recreational connectivity between the wetland and the marine environment. This project offered QUT’s partners many innovative options to inform their future planning. BSC, BMRG and Oceanwatch Australia are currently engaged in the investigation of on-ground opportunities drawing on these options.

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Two dimensional flow of a micropolar fluid in a porous channel is investigated. The flow is driven by suction or injection at the channel walls, and the micropolar model due to Eringen is used to describe the working fluid. An extension of Berman's similarity transform is used to reduce the governing equations to a set of non-linear coupled ordinary differential equations. The latter are solved for large mass transfer via a perturbation analysis where the inverse of the cross-flow Reynolds number is used as the perturbing parameter. Complementary numerical solutions for strong injection are also obtained using a quasilinearisation scheme, and good agreement is observed between the solutions obtained from the perturbation analysis and the computations.

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The high degree of variability and inconsistency in cash flow study usage by property professionals demands improvement in knowledge and processes. Until recently limited research was being undertaken on the use of cash flow studies in property valuations but the growing acceptance of this approach for major investment valuations has resulted in renewed interest in this topic. Studies on valuation variations identify data accuracy, model consistency and bias as major concerns. In cash flow studies there are practical problems with the input data and the consistency of the models. This study will refer to the recent literature and identify the major factors in model inconsistency and data selection. A detailed case study will be used to examine the effects of changes in structure and inputs. The key variable inputs will be identified and proposals developed to improve the selection process for these key variables. The variables will be selected with the aid of sensitivity studies and alternative ways of quantifying the key variables explained. The paper recommends, with reservations, the use of probability profiles of the variables and the incorporation of this data in simulation exercises. The use of Monte Carlo simulation is demonstrated and the factors influencing the structure of the probability distributions of the key variables are outline. This study relates to ongoing research into functional performance of commercial property within an Australian Cooperative Research Centre.

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Person tracking systems to date have either relied on motion detection or optical flow as a basis for person detection and tracking. As yet, systems have not been developed that utilise both these techniques. We propose a person tracking system that uses both, made possible by a novel hybrid optical flow-motion detection technique that we have developed. This provides the system with two methods of person detection, helping to avoid missed detections and the need to predict position, which can lead to errors in tracking and mistakes when handling occlusion situations. Our results show that our system is able to track people accurately, with an average error less than four pixels, and that our system outperforms the current CAVIAR benchmark system.