Masters Theses

Title

Modeling particulate matter emissions indices at the Hartsfield-Jackson Atlanta International Airport

Author

Lu Gan

Abstract

"Particulate Matter (PM) emissions from aircrafts have been identified as possible contributors to global climate and local air quality changes. An objective of this study was to develop a predictive model for emissions indices (EI) of PM emitted from aircraft during normal operation given engine type and ambient conditions. A model that is scientifically meaningful was desirable as it could help guide follow-on activities in air quality monitoring at airports, Diagnostics, transformations, and manipulation of some variables suggested a linear model would be appropriate. Temperature, pressure, and a temperature-pressure interaction were key variables. Bootstrap confidence intervals for mean EI were computed since residuals were slightly heavy tailed"--Abstract, leaf iii.

Advisor(s)

Gadbury, Gary L.

Committee Member(s)

Samaranayake, V. A.
Whitefield, Philip D.

Department(s)

Mathematics and Statistics

Degree Name

M.S. in Applied Mathematics

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2008

Pagination

vii, 44 leaves

Note about bibliography

Includes bibliographical references (leaves 114-123).

Rights

© 2008 Lu Gan, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Air -- Pollution -- Mathematical models
Aircraft exhaust emissions -- Measurement -- Mathematical models
Particles -- Measurement -- Mathematical models

Thesis Number

T 9403

Print OCLC #

287154909

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b6566955~S5

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