No description available.

The problem of petrified wood theft was examined in the Petrified Forest National Park. This study accomplished the following 2 objectives: 1. Perform a complete inventory throughout five high use areas at the Petrified Forest National Park 2. Quantify the petrified wood loss within the five high use areas at the Petrified Forest National Park over a one year time period. Line intersect sampling was used to sample three size classes of petrified wood along with fixed area quadrat samples which sampled two size classes. Line intersect sampling units were established in August 1993 and revisited during August 1994. Line Intersect sampling results suggest that petrified wood displacement within the park does occur but not to the extent that Scher (1990) reports. Quadrat sampling results are not conclusive with regard to petrified wood displacement due to constraints on the sample design. / Master of Science

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Thesis (Ph. D.)--University of Arizona, 1993. / "In addition to chapters [leaves 20-57] unique to the dissertation, ten papers are included that were published during the period of doctoral enrollment"--Leaf 19. Includes bibliographical references.

Thesis (M.S. - Hydrology and Water Resources)--University of Arizona, 1994. / Includes bibliographical references (leaves R1-R8).

Thesis (M.S.)--Dept. of Hydrology and Water Resources, University of Arizona, 1994. / Includes bibliographical references (leaves R1-R8).

Photovoltaic (PV) solar electricity generation has the potential to reduce the demand for more traditional fossil and nuclear power generation. Community PV solar installations allow energy users to share the electricity generated by these plants. Optimal siting of community solar installations will allow for maximum electricity generation while avoiding environmental conflicts, as well as, minimizing construction costs. This study identifies opportunities for community solar plants in Maricopa and Pinal Counties, Arizona, of ¼-acre in size. Input parameters fall into economic, physical, and environmental categories. Each of the input parameters were classified from 1 (not suitable) to 9 (highly suitable). Next, the classified rasters in each category were weighed according to importance, and Esri’s Weighted Sum tool was used to generate a combined raster for the category. The three resulting environmental, economic, and physical characteristic rasters were weighed again, and the Weighted Sum tool was used to generate a raster of community solar suitability scores. Next, a mask of locations inappropriate for community-scale solar development was created, including lakes, rivers, streams, and residential rooftops, which are too small to accommodate ¼-acre community solar installations. The masked areas were removed from the suitability raster, and the suitability raster was reclassified using standard deviations to generate a preference map with values ranging from 1 (low preference) to 3 (high preference). The model output reveals 68 percent of the study area is of medium or high preference for community solar installations. Maricopa and Pinal counties provide many opportunities for community solar installations.