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Meteorological aspects of geothermal energy development are first discussed in general terms. An instructive case study is then presented of a hypothetical 100 MW geothermal electrical generating plant at a site near Vale, Oregon. Long-term climate data from Ontario Airport near Ontario, Oregon, are used to describe meteorological characteristics of the Vale site and the effects of topography are discussed. Source data were taken from descriptions of similar plants. A simple Gaussian plume model is applied to the data to estimate typical visible plume lengths at different times of day and year, and fog inducement in terms of extra hours per year. A ballistic-type drift deposition model is used to analyze the impacts of cooling tower drift in terms of drift "rain" intensity and annual moisture deposition. Assumptions and approximations, made with the intention of presenting upper limits to predicted effects, are discussed. Comments and suggestions concerning the extension of the results to contaminant emissions and additional data that would be needed to perform a more detailed and conclusive study are included. / Graduation date: 1980

Reprint from The University of Arizona Arid Lands Colloquia 1959-1960, 1960-1961

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No description available.

The purpose of this thesis is to understand the applications and limitations of the Climatological Dispersion Model (CDM), and to explain the role of dispersion modeling within the framework of urban and regional planning. In order to reach the first objective, a detailed study study of the mechanics of the CDM was conducted. Completion of this task provided the necessary foundation for a discussion of the assets and limitations of the model. Conclusions and recommendations are made concerning the utility of the CDM for an urban area.The second objective focuses on the practical applications of dispersion modeling and is divided into four areas; the role of dispersion modeling in air quality management, the practical applications of dispersion modeling from a community view, the incorporation of dispersion modeling into the planning process, and the effectiveness and future direction of dispersion modeling. / Department of Urban Planning

American Viticultural Areas (AVAs) are susceptible to small variations in climate and microclimates and are found within a narrow latitudinal range of prime climate conditions. These AVAs are geographically determined based on the best soil, climate, precipitation and temperature combinations for specific winegrape regions. As climate change continues to alter the local weather and the greater climate region of the Western United States, winegrape growing regions in Oregon are being affected. In an effort to determine what the pattern of change is, and compare previous studies of climate change using climate indices, a comparative study based in part on prior research was conducted. Using 800 meter resolution Parameter-elevation Regressions on Independent Slopes Model (PRISM) climate datasets, four individual climate indices were analyzed for statistical correlation with the climate data. These climate indices are: growing degree-days (GDD), the average growing season temperatures (GST), Huglin Index (HI) and the biologically effective degree-day (BEDD). Based on currently available data for this research, these climate indices were statistically analyzed during the years 2000 to 2010. A further avenue of research included a statistical analysis of the reported winegrape production, although this data was available only at an aggregated county-level. Results show that all four climate indices exhibit statistical significance, although the inclusion of the winegrape production data exhibited no statistical significance for many of the analyses, most likely due to subjective and aggregated data, few did result in significance with the climate indices. The research discussed here confirms the accuracy of the four climate indices and suggest that a longer time frame, coupled with less aggregated and subjective winegrape production data could produce interesting results in future research on the results of climate indices in winegrape growing regions.

Call number: LD2668 .T4 1985 A46 / Master of Science

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No description available.