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, page iii.

Advisor(s)

Gary L. Gadbury

Committee Member(s)

V. A. Samaranayake
Philip D. Whitefield

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 pages

Note about bibliography

Includes bibliographical references (pages 42-43)

Rights

© 2008 Lu Gan, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

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

Thesis Number

T 9403

Print OCLC #

287154909

Recommended Citation

Gan, Lu, "Modeling particulate matter emissions indices at the Hartsfield-Jackson Atlanta International Airport" (2008). Masters Theses. 61.
https://scholarsmine.mst.edu/masters_theses/61