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The Resource A pseudo individual near real-time measurement for assessing air pollution exposure in selected Texas cities, by Tianfang Bernie Fang, B.A., M.S

A pseudo individual near real-time measurement for assessing air pollution exposure in selected Texas cities, by Tianfang Bernie Fang, B.A., M.S

Creator
Contributor
Summary
Air pollution causes severe health effects and economic loss. Many major air-pollution-related studies focus on place-based measures and simulation. Typical placebased air pollution studies cannot portray individuals' air pollution exposure scenarios. In recent years, individual-based air pollution exposure measures have been developed rapidly. Based on an extensive literature review of place-based geography and people-based geography, air pollution exposure assessment methods (including place-based and individual-based ones), and health effects of air pollution exposure, this dissertation research aims to investigate an innovative modeling approach for assessing individual near real-time air pollution exposure. The first part of the model development is to design a series of near real-time space-time air pollution scenario cubes. Originating from time geography, space-time cubes provide an approach to integrate spatial and temporal air pollution information into a 3D space. The base of space-time cubes represents the variation of air pollution in a 2D geographical space while the height represents time. The second part of the model development is to geovisualize volunteers' individual real-time space-time trajectories using 3D space-time path maps. The last part of the model development is to integrate space-time cubes and space-time trajectories to develop the pseudo individual near real-time air pollution monitoring (PIRAM in short) models and the derivative models - the integrated pseudo individual near real-time air quality index (PIRAQI in short) models and the integrated pseudo individual near real-time air pollution dose simulation (PIRADS in short) models. Volunteers' individual diurnal ambient ozone (O3) pollution exposures in Houston, Austin, and San Antonio are modeled in this dissertation research. The contributions of this dissertation research are four-fold. First, it can help in understanding air pollution and individual exposure from a people-based geography perspective. Second, it enriches the individual-based air pollution exposure measure study by emphasizing individual travel behaviors in the individual air pollution exposure context. Third, its results can reveal the characteristics of the individual real-time air pollution exposure, which will contribute to local air pollution policy making. Fourth, the PIRAM platform only needs one handheld device terminal, such as a GPS smartphone, which ensure a good end user experience and potential commercial value
Language
eng
Work
Extent
xvii, 178 leaves
Note
  • Vita
  • Committee members: Yongmei Lu, chair ; F. Benjamin Zhan ; Richard W. Dixon ; Mark A. Fonstad ; Ge Lin
Link
https://digital.library.txstate.edu/handle/10877/4365
Instance
Label
A pseudo individual near real-time measurement for assessing air pollution exposure in selected Texas cities
Title
A pseudo individual near real-time measurement for assessing air pollution exposure in selected Texas cities
Statement of responsibility
by Tianfang Bernie Fang, B.A., M.S
Creator
Contributor
Author
Thesis advisor
Subject
Language
eng
Summary
Air pollution causes severe health effects and economic loss. Many major air-pollution-related studies focus on place-based measures and simulation. Typical placebased air pollution studies cannot portray individuals' air pollution exposure scenarios. In recent years, individual-based air pollution exposure measures have been developed rapidly. Based on an extensive literature review of place-based geography and people-based geography, air pollution exposure assessment methods (including place-based and individual-based ones), and health effects of air pollution exposure, this dissertation research aims to investigate an innovative modeling approach for assessing individual near real-time air pollution exposure. The first part of the model development is to design a series of near real-time space-time air pollution scenario cubes. Originating from time geography, space-time cubes provide an approach to integrate spatial and temporal air pollution information into a 3D space. The base of space-time cubes represents the variation of air pollution in a 2D geographical space while the height represents time. The second part of the model development is to geovisualize volunteers' individual real-time space-time trajectories using 3D space-time path maps. The last part of the model development is to integrate space-time cubes and space-time trajectories to develop the pseudo individual near real-time air pollution monitoring (PIRAM in short) models and the derivative models - the integrated pseudo individual near real-time air quality index (PIRAQI in short) models and the integrated pseudo individual near real-time air pollution dose simulation (PIRADS in short) models. Volunteers' individual diurnal ambient ozone (O3) pollution exposures in Houston, Austin, and San Antonio are modeled in this dissertation research. The contributions of this dissertation research are four-fold. First, it can help in understanding air pollution and individual exposure from a people-based geography perspective. Second, it enriches the individual-based air pollution exposure measure study by emphasizing individual travel behaviors in the individual air pollution exposure context. Third, its results can reveal the characteristics of the individual real-time air pollution exposure, which will contribute to local air pollution policy making. Fourth, the PIRAM platform only needs one handheld device terminal, such as a GPS smartphone, which ensure a good end user experience and potential commercial value
Cataloging source
TXI
Degree
Ph. D.
Dissertation year
2012.
Granting institution
Texas State University--San Marcos,
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • bibliography
  • theses
Label
A pseudo individual near real-time measurement for assessing air pollution exposure in selected Texas cities, by Tianfang Bernie Fang, B.A., M.S
Link
https://digital.library.txstate.edu/handle/10877/4365
Instantiates
Production
Copyright
Note
  • Vita
  • Committee members: Yongmei Lu, chair ; F. Benjamin Zhan ; Richard W. Dixon ; Mark A. Fonstad ; Ge Lin
Bibliography note
Includes bibliographical references (leaves 165-178)
Carrier category
  • volume
  • volume
Carrier category code
  • nc
  • nc
Carrier MARC source
  • rdacarrier
  • rdacarrier
Content category
  • text
  • text
Content type code
  • txt
  • txt
Content type MARC source
  • rdacontent
  • rdacontent
Control code
840486716
Dimensions
28 cm.
Extent
xvii, 178 leaves
Media category
  • unmediated
  • unmediated
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • n
  • n
Note
Library's copy 2 (University Archives).
Other physical details
illustrations
System control number
(OCoLC)840486716
Label
A pseudo individual near real-time measurement for assessing air pollution exposure in selected Texas cities, by Tianfang Bernie Fang, B.A., M.S
Link
https://digital.library.txstate.edu/handle/10877/4365
Production
Copyright
Note
  • Vita
  • Committee members: Yongmei Lu, chair ; F. Benjamin Zhan ; Richard W. Dixon ; Mark A. Fonstad ; Ge Lin
Bibliography note
Includes bibliographical references (leaves 165-178)
Carrier category
  • volume
  • volume
Carrier category code
  • nc
  • nc
Carrier MARC source
  • rdacarrier
  • rdacarrier
Content category
  • text
  • text
Content type code
  • txt
  • txt
Content type MARC source
  • rdacontent
  • rdacontent
Control code
840486716
Dimensions
28 cm.
Extent
xvii, 178 leaves
Media category
  • unmediated
  • unmediated
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • n
  • n
Note
Library's copy 2 (University Archives).
Other physical details
illustrations
System control number
(OCoLC)840486716

Subject

Library Locations

    • University ArchivesBorrow it
      601 University Drive, San Marcos, TX, 78666, US
      29.888873 -97.943078

Library Links

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