The OSIRIS instrument on board the Odin satellite uses limb viewing techniques to measure scattered sunlight and so determine the vertically resolved concentrations of atmospheric constituents including ozone. Initially, a proof of concept instrument was built and tested. This instrument, the Developmental Model, is now housed at the third floor clean room of the Physics Building on the University of Saskatchewan campus. <p> The Developmental Model was incorporated into a system designed to monitor scattered sunlight above Saskatoon. The system was set up to transmit skylight to the Developmental Model using a fiber optic cable and to perform all measurements automatically and with minimal user interaction. The system was calibrated to determine the pixel to wavelength response. Characterizations of the point spread function and relative intensity response of the detector were also made. A shutter system was designed and constructed to measure the detector dark current. An enclosure was built on the top of the Physics Building to provide a weather proof environment and so allow data collection throughout the year. Zenith sky measurements were taken during twilight hours to provide information on the depth of absorption in the Chappuis band, an indicator of the total ozone column. The absorption depth was converted to a Dobson Unit measurement for the ozone column. <p> Analysis of collected data provides two conclusions. The first is that a measurement set in the presence of clouds shows different signatures than a clear measurement set. The second conclusion is the detection of a diurnal trend in the total ozone column with greater amounts measured in the morning. The OSIRIS USASK Observatory is now operational and collecting data for future analysis of scattered sunlight measurements above Saskatoon.

The OSIRIS instrument on board the Odin satellite uses limb viewing techniques to measure scattered sunlight and so determine the vertically resolved concentrations of atmospheric constituents including ozone. Initially, a proof of concept instrument was built and tested. This instrument, the Developmental Model, is now housed at the third floor clean room of the Physics Building on the University of Saskatchewan campus. <p> The Developmental Model was incorporated into a system designed to monitor scattered sunlight above Saskatoon. The system was set up to transmit skylight to the Developmental Model using a fiber optic cable and to perform all measurements automatically and with minimal user interaction. The system was calibrated to determine the pixel to wavelength response. Characterizations of the point spread function and relative intensity response of the detector were also made. A shutter system was designed and constructed to measure the detector dark current. An enclosure was built on the top of the Physics Building to provide a weather proof environment and so allow data collection throughout the year. Zenith sky measurements were taken during twilight hours to provide information on the depth of absorption in the Chappuis band, an indicator of the total ozone column. The absorption depth was converted to a Dobson Unit measurement for the ozone column. <p> Analysis of collected data provides two conclusions. The first is that a measurement set in the presence of clouds shows different signatures than a clear measurement set. The second conclusion is the detection of a diurnal trend in the total ozone column with greater amounts measured in the morning. The OSIRIS USASK Observatory is now operational and collecting data for future analysis of scattered sunlight measurements above Saskatoon.

Thesis (doctoral)--University of Helsinki, 2001. / Includes bibliographical references.

Thesis (Ph. D.)--Ohio State University, 2004. / Title from first page of PDF file. Document formatted into pages; contains xxii, 212 p.; also includes graphics. Includes abstract and vita. Advisor: Jeffrey Daniels, Dept. of Geological Sciences. Includes bibliographical references (p. 152-154).

Thesis (M. Sc.)--York University, 1997. / Typescript. Includes bibliographical references (leaves 104-113). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://wwwlib.umi.com/cr/yorku/fullcit?pMQ27369.

Thesis (Ph. D.)--University of Washington, 2001. / Vita. Includes bibliographical references (p. 112-120).

Thesis (M. Eng. Sc.)--University of Queensland, 2001. / Includes bibliographical references.

Not available / text

The increasing application of systems engineering to the design of modern railways has placed a heavy demand on high quality software-based railway system simulators. Very often, a simulator of this kind is not only expensive to build but also to maintain. Modifications and extensions of an existing simulator are always necessary. This leads to the need for investigation into the use of advanced modelling and software engineering techniques to improve the simulation programs such that they are robust yet easy to change. The work described in this thesis, divided into two parts, investigates a) software design using object-oriented technology; b) algorithms for the efficient solution of power network in the DC railway system simulation context. Regarding the software design, an adaptable simulation framework design based on a subsystem-manager-database structured concept has been built using Borland C++. A class library consisting of 66 classes has also been developed. The simulator developed to date, working on any IBM compatible PCs, is able to produce system performance including substation loads, train voltage and current profiles, rail potentials and train diagrams. The simulator models have been verified by means of comparing the results generated by the Birmingham University Fortran multi-train simulator. On the efficient power network solution algorithms, an extensive investigation into the sparse matrix and iterative numerical methods has been conducted. Several representative algorithms have been coded for a comprehensive dynamic speed trial. According to the results, the variable bandwidth preordering is by far the most efficient algorithm for small to medium scale simulations, whilst the minimum degree ordering is the fastest algorithm for simulations including rail potential calculations in which the system usually has several hundred nodes.

The objective of the research project was to evaluate the effectiveness of auxiliary energy storage systems, used in addition to a battery, for extending the range of an electric vehicle. Initially, the work focused around the use of a high speed flywheel to complement the electric vehicle battery. The work was then extended to cover auxiliary energy storage in general. Practical work was carried out using a Bedford/Chloride CF Van, which was equipped with various sensors by Bristol Polytechnic. Using measurements carried out on milk rounds in the local area, a driving cycle was derived, and used to characterise the CF van. This was in turn used to create a pro-forma for a typical battery current demand profile experienced during the driving cycle. Laboratory testing was carried out by repeatedly putting the battery through this basic current cycle. Further cycles were then derived from the basic cycle. These were designed to show the effect of various amounts of auxiliary storage on battery current demand, and hence overall energy output. These were used with the battery in the same way as the basic cycle, allowing a comparison of the battery with and without energy storage. At the same time as the laboratory work was being done, a computer simulation of the Bedford CF was written. Having validated the model against both laboratory results and road test data, it was used to extend the results derived in the laboratory more generally. This was done by running simulated driving cycles for different battery conditions, by varying the performance of the simulated vehicle transmission, and by using different driving cycles. Flywheel auxiliary storage was also simulated, and its efficiency varied. Results from the project establish criteria by which auxiliary storage systems may be judged, by comparing them with the battery alone, and also for comparing regenerative and non-regenerative battery current cycles. This framework is then used to create general criteria which auxiliary energy storage systems must meet if they are to be effective. Possible avenues for future work are also put forward.