Record Display for the EPA National Library Catalog

RECORD NUMBER: 174 OF 202

Main Title Spatial emergy model for Alachua County, Florida {electronic resource} /
Author Lambert, James David
Publisher State University System of Florida,
Year Published 1999
OCLC Number 45261454
Internet Access
Description Access URL
http://etd.fcla.edu/etd/uf/1999/amj9746/lambert.pdf
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EHBM THESIS Dissertation CEMM/ACESD Library/Narragansett,RI 05/27/2022
Notes
Title from first page of PDF file. Document formatted into pages; contains ix, 569 p.; also contains graphics. Vita. Thesis (Ph. D.)--University of Florida, 1999. Includes bibliographical references (p. 558-568).
Contents Notes
ABSTRACT: A spatial model of the distribution of energy flows and storages in Alachua County, Florida, was created and used to analyze spatial patterns of energy transformation hierarchy in relation to spatial patterns of human settlement. Emergy, the available energy of one kind previously required directly or indirectly to make a product or service, was used as a measure of the quality of the different forms of energy flows and storages. Emergy provides a common unit of measure for comparing the productive contributions of natural processes with those of economic and social processes--it is an alternative to using money for measuring value. A geographic information system was used to create a spatial model and make maps that show the distribution and magnitude of different types of energy and emergy flows and storages occurring in one-hectare land units. Energy transformities were used to convert individual energy flows and storages into emergy units. Maps of transformities were created that reveal a clear spatial pattern of energy transformation hierarchy. The maps display patterns of widely-dispersed areas with lower transformity energy flows and storages, and smaller, centrally-located areas with higher transformities. Energy signature graphs and spatial unit transformities were used to characterize and compare the types and amounts of energy being consumed and stored according to land use classification, planning unit, and neighborhood categories. Emergy ratio maps and spatial unit ratios were created by dividing the values for specific emergy flows or storages by the values for other emergy flows or storages. Spatial context analysis was used to analyze the spatial distribution patterns of mean and maximum values for emergy flows and storages. ABSTRACT (cont.): The modeling method developed for this study is general and applicable to all types of landscapes and could be applied at any scale. An advantage of this general approach is that the results of other studies using this method will be directly comparable with the results of this study. The results and conclusions of this study reinforce the hypothesis that an urban landscape will develop a predictable spatial pattern that can be described in terms of a universal energy transformation hierarchy.