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The implementation of solar shelters over top of parking spaces has the potential to make the production of renewable energy a secondary function of parking lots without impeding their ability to function as parking locations. This has the capacity to reduce the amount of natural space converted to solar farms as solar energy becomes more common. In addition, if these shelters are outfitted as charging stations for electric vehicles, they could serve as a driver for a cultural shift towards a more sustainable vehicle fleet. Implementation of this technology has begun on a small scale in San Diego, California and this project assessed the feasibility of implementation in Kingston, Ontario. This study set out to determine how much energy could be produced by a solar shelter over one parking space and how many parking spaces would be required to produce 1% of Kingston’s total electricity consumption. An insolation model was written in C, which used past climate data and mathematical models to incorporate the effects of latitude, cloud cover and snow. This model was compared to the current production in San Diego to check for validity. Since the insolation model was deemed to be valid, the results were used in conjunction with typical solar panel efficiencies in Kingston to calculate the potential energy production per structure. This was then used to determine the number of structures that would be required to provide 1% of Kingston’s electricity. Through literature review, it was determined that although snow on the panels would have a drastic effect on power production, it would not remain on the panels long enough to cause a significant effect. It was found that a single parking space in Kingston would be capable of generating 5500±_800^1000 kWh/year using the single-axis tracking model that is currently being implemented in San Diego, although a dual-axis tracking model would be capable of generating 11% more energy. Using the current prototype, Kingston would require implementation across about 2750 parking spaces in order to provide 1% of its electricity and it has ample locations which would be suitable. However, due to the current $40,000 price tag per structure, the current buy-back period is about 55 years which makes the current technology not economically feasible without lowering the cost or increasing the efficiency.

Historic and future extreme precipitation and wind events over southern Baffin Island, more specifically Iqaluit, Kimmirut, Pangnirtung and Cape Dorset are examined. Two sets of modeled re-analysis data, the Canadian Regional Climate Model (CRCM) forced with European Centre for Medium-Range Weather Forecasts Regional Analysis 40 (ERA40) and the other the North American Regional Re-analysis (NARR) dataset were used to characterize the atmosphere during historic events. Two sets of CRCM data forced with Canadian Global Climate Model (CGCM) data, one from 1961-1990 and the other from 2041-2070, are compared to assess the changes in extreme events in the future. Extreme events were defined by daily precipitation and sustained wind thresholds. Based on the CRCM future projection, events were inferred to increase in intensity for all communities and increase in frequency for 3 of the 4 communities. A shift in the Arctic storm season was also inferred in the future projection.

‘Urban Metabolism’ (UM) is a well-established concept based on the parallels between the metabolisms’ of ecosystems and cities. These parallels consist of the intake, storage, and transformation of materials and energy, and the creation and output of wastes. These traits, which suggest cities possess a metabolism similar to ecosystems, also exist within water distribution systems (WDSs). Four common areas of UM assessments include: the evaluation of environmental sustainability indicators; greenhouse gas accounting; numerical models for the assessment of metabolic flows; and design and decision support tools. These applications show promising opportunities if applied to WDSs, and therefore a novel framework based on UM was developed specifically for the assessment of WDSs. This framework was tested on a water distribution network via three experiments. Experiment 1 utilized factorial design to systematically assess predominate network parameters (water demand, static lift, and pipe roughness). Experiments 2 and 3 studied the effects of two network management strategies (water conservation and pipe replacement scheduling) as well as the effects of static lift and pipe roughness in the presence of these strategies. The results were reported in terms of four metabolic flows: water, operational energy (O/E), embodied energy (E/E), and greenhouse gases (GHGs). Experiment 1 showed that individual increases in water demand, pipe roughness, or static lift, all led to decreases in network pressures and reductions in leakage volume. Experiments 2 and 3 demonstrated increases to leakage volumes and decreases in per capita GHG emissions in the presence of water conservation measures, and decreases in leakage volumes and increases in O/E transmission efficiency in the presence of pipe replacement programs. Experiments 2 and 3 also demonstrated a reduction in network pressures, and a resulting reduction in leakage volumes, due to additional static lift and pipe roughness. Recommendations for future work were made in four specific areas: (1) the expansion of pre-established metabolic flows, (2) the further study of the effects of pressure management under the scenarios studied, (3) the consideration of other urban systems which may benefit from the application of an UM-based assessment, and (4) the assessment of non-hypothetical WDSs using the developed framework.

Municipal water distribution system (WDS) expansion is often focused on increasing system capacity with designs that best meet hydraulic requirements at the least cost. Increasing public awareness regarding global warming and environmental degradation is making environmental impact an important factor in decision-making for municipalities. There is thus a growing need to consider environmental impacts alongside cost and hydraulic requirements in the expansion and design of WDSs. As a result, the multiplicity of environmental impacts to consider in WDS expansion can complicate the decisions faced by water utilities. For example, a water utility may wish to consider environmental policy issues such as greenhouse gas emissions, non-renewable resource use, and releases to land, water, and air in WDS expansion planning. This thesis outlines a multi-objective optimization approach for WDS design and expansion that balances the objectives of capital cost, annual pumping energy use, and environmental impact minimization, while meeting hydraulic constraints. An environmental impact index that aggregates multiple environmental measures was incorporated as an environmental impact objective function in the multi-objective non-dominated sorting genetic algorithm-II (NSGA-II) optimization algorithm. The environmental impact index was developed to reflect stakeholder prioritization of specific environmental policy issues. The evaluation of the environmental impact index and its application to the WDS expansion problem was demonstrated with a water transmission system example. The environmental impact index and multi-objective non-dominated sorting genetic algorithm-II (NSGA-II) optimization algorithm were applied to the “Anytown” network expansion problem. Preliminary results suggest that solutions obtained with the triple-objective capital cost/energy/EI index optimization minimize a number of environmental impact measures while producing results that are comparable in pumping energy use and, in some instances, slightly higher in capital cost when compared to solutions obtained with a double cost/energy optimization in which environmental impact was not considered.

Rapidly changing environments impact avian populations greatly. Indeed, variable weather affects the timing of crucial resource availability and behaviours of breeding birds. Migratory birds are particularly threatened by advancing springs and must adjust their migration timing to remain synchronized with spring phenology. Environmental factors such as weather variability are known to influence bird timing both during breeding and migratory periods but have rarely been investigated for their impact across migration routes. Once birds are at their breeding locations, how environmental factors influence local timing and movements has also been little examined. In this study, in a declining long-distance migrant, the purple martin (Progne subis), I first investigate how extrinsic (environmental), and intrinsic (morphological, migration destination) factors impact migration timing and rate. Second, I investigate the timing of parental roosting during active parental care, and how environmental and nest conditions influence this behaviour. I found that variation in destination and timing are the main influence on spring arrival date and migration rate, while to a lesser extent favourable weather promotes faster migration. The great influence of spring departure on migration rate and arrival suggests selective pressure on migration timing across routes to match with conditions at the breeding grounds. I also found that summer roosting is prominent in purple martins with colder evenings and increased parental investment increasing the odds of parents remaining at their colony at night. Overall, my findings indicate that the influence of environmental factors on movement behaviour may vary by season, with spring migration being mostly driven by intrinsic factors, while summer roosting may be most influenced by local temperature. Future research on the effects of environmental factors on migratory stopover duration and the seasonality of roosting would further our understanding of these timing behaviours and how they may interact with advancing climate change.

Coastal cities are grappling with how to shift their approach in designing the built environment to respond to global warming and sea level rise. With the potential increase of sea level rise by 1 metre by the year 2100, and climate change projecting more intense and frequent storms to British Columbia’s coasts, Vancouver will need to consider more resilient approaches to address flood risk along its shores. One area that will be exposed to flood risks includes the False Creek Flats, a historic tidal flat converted to rail and industrial hub in the core of the city, and on the cusp of transforming into the city’s next employment hub. At present, it is indiscernible that the False Creek Flats at one time was a historic tidal flat with a rich ecology supporting a variety of plants and wildlife, providing food and sustenance to the Indigenous people whose traditional territory included this land. The emergence of the rail and industry erased this history, the connection to the water, and the dynamic coastal processes that shaped the landscape. With the False Creek Flats undergoing a significant transformation over the next number of years, there is a window of opportunity to reconnect False Creek Flats to the coastal landscape, while also making room for flood waters and shifting perspectives on how we live with and build with water. This practicum seeks to develop a resilient design approach for False Creek Flats through three lenses: robustness, ensuring people are safe; adaptive, making room for the water; and transformative, shifting perspectives through design interventions. Leveraging the opportunity to make False Creek Flats resilient to climate change and flooding will benefit Vancouver by creating opportunities to shift public perspectives on how the city should adapt to sea level rise and climate change, while also bolstering public policy that will make the city and its residents more adaptive and resilient to change.

Ice is a prominent characteristic of water bodies in cold regions. For rivers regulated for hydropower operations, the production of ice particles can result in obstructions and subsequent performance issues during energy production. Rough and thickened ice covers resulting from high flow conditions can also lead to substantial hydraulic losses. While ice formations impact hydropower operations, a river’s flow hydrograph also influences ice processes from freeze-up through break-up. Research investigations into the influence of regulation on ice processes benefits not only hydropower practioners, but also those who are impacted by hydropower operations. Further, understanding these cause-and-affect relationships supports design of innovative tools to quantify the impact of ice on river hydraulics. In this study, a detailed characterization of ice processes is presented for the regulated Upper Nelson River region located at the outlet of Lake Winnipeg in Northern Manitoba, Canada. With a focus on freeze-up and mid-winter processes, this characterization informed design of a 2D numerical modelling methodology to simulate ice-affected winter hydraulics. Model development included simulation of both thermal and dynamic ice phenomenon, which relied on derivation of numerous site-specific hydraulic functions. The presence of significant skim ice runs in this region inspired development of a novel treatment to simulate freeze-up jamming of skim ice floes on very mild-sloped rivers. The modelling methodology shows strong performance in simulating both freeze-up and mid-winter hydraulics, which is a signficiant contribution considering the complexity of this lake-outlet system. A quantitative evaluation of the effects of climate change on river ice hydraulics is included, with future projection of shorter and warmer winters leading to greater cumulative discharge from Lake Winnipeg. While discharge increases may lead to increased power production in future years, concurrent projections of increased inter-annual variability may present new operational challenges. Findings from this original research can be applied not only to the Nelson River, but also other regulated regions that are impacted by river ice.

The spring bloom of microalgae within the bottom of sea ice provides a significant contribution to primary production in the Arctic Ocean. The aim of this research was to improve observations of the ice algae bloom using a transmitted irradiance technique to remotely estimate biomass, and to examine the influence of physical processes on biomass throughout the sea ice melt season. Results indicate that bottom ice temperature is highly influential in controlling biomass variability and bloom termination. Snow depth is also significant as it buffers ice temperature from the atmosphere and largely controls transmission of photosynthetically active radiation (PAR). The relationship between snow depth and biomass can change over the spring however, limiting biomass accumulation early on while promoting it later. Brine drainage, under-ice current velocity, and surface PAR in the absence of snow cover are also important factors. Overall this research helps to characterize the spring ice algae bloom in the Arctic by improving in situ biomass estimates and identifying primary factors controlling it.

Bythotrephes longimanus is an invasive, macroinvertebrate from Eurasia that was introduced into the Great Lakes region in the mid 1980s. Bythotrephes introductions into lake ecosystems have resulted in substantial changes in zooplankton communities, including declines in species richness, abundance, biomass and production. Changes in zooplankton communities may alter the quantity and quality of prey to other predators such as cisco (Coregonus artedii), a pelagic forage fish. Here, I conduct a current day comparison of cisco populations to determine if prey consumption by cisco differs in the presence of Bythotrephes, and whether changes in diet result in energetic consequences (changes in growth and condition) for cisco. Effects of Bythotrephes on native zooplankton communities have resulted in substantial changes in the variety and proportion biomass of zooplankton and macroinvertebrate prey types in cisco stomachs, which have in turn modified growth of cisco. Cisco taken from invaded lakes achieve greater total lengths but changes in condition were not detected. This effect may be driven by improved growth in the second and subsequent growing seasons, suggesting that growth consequences for young fish (that do not feed on Bythotrephes) are different than for older individuals. Length-at-structure age data indicate that by the end of the first growing season (age 1) cisco achieve comparable total body lengths in invaded and reference lakes, suggesting that food consumption by young cisco remains unchanged by Bythotrephes. Alternatively, young cisco forage may be reduced in the presence of Bythotrephes, resulting in decreased survival and similar growth among individuals that survive to age 1. In contrast, despite changes in the zooplankton community; growth of older fish (≥ age 2) was enhanced in lakes that have Bythotrephes. Improved growth among older cisco (≥ age 2) in invaded lakes may be related to the presence of a newly attainable, high energy prey source (Bythotrephes). Alternatively, enhanced growth may be explained by lower competition due to reduced recruitment of young cisco (≤ age 1) in invaded lakes. Increased knowledge regarding the effects of Bythotrephes on growth of cisco is important in furthering our understanding of its impact on lake ecosystems.

The global energy sector is seeing an ever-increasing demand for renewable alternatives to fossil fuels to meet current and future energy demands. One of the most versatile alternatives to fossil fuels, such as natural gas, is biogas, which is a by-product of the decomposition of organic matter known as anaerobic digestion (AD). Biogas is produced by specialized methane-producing microorganisms known as methanogens. It constitutes a carbon-neutral energy source with a similar composition to natural gas at about 60% methane and 40% carbon dioxide. One of the biggest challenges that biogas production faces are the start-up lag phase, as biogas output can take up to twelve weeks to achieve a steady yield. Understanding the effects that temperature, pH, bioaugmentation, microbial composition and the use of sensor and electrode technology have on biogas production under start-up operations could provide a better understanding of the underlying causes affecting start-up and how it could be improved to reach optimal biogas production. The results from this research showed that temperature has a significant role in biogas production by driving the biogas process. The effect of thermophilic temperatures caused a decrease in the methanogenic microbial diversity of sludge. pH control only offers a limited effect on overall biogas yield within a 6.5-7.5 range. Novel technological approaches such as sensors and electrode enhanced AD (MEC-AD) can provide a stabilizing effect during AD under start-up operation, MEC-AD provided a six-fold increase in biogas yield compared to conventional AD. Microbial activity tracking was attempted using bio-impedance with promising results and the effects of bioaugmentation and toxic shock in MEC-AD digesters showed that bioaugmentation potential benefits are only significant in the absence of inhibitory conditions. Overall, the characterization of the AD processes in a bench-scale system could provide valuable insight for large-scale systems aiming to optimize and update their operational procedures.