Masters Theses

Keywords and Phrases

Air pollution; air quality; atmospheric dispersion; hazardous aerosol; hysplit; trajectory

Abstract

"Atmospheric dispersion and transmission play an important role in the behavior and effects of air pollution. Human health can be adversely affected by air pollution in a variety of ways, both immediately and over time. The Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) modeling program, a computer model and software package, tracks the transport trajectories and distributions of air pollution and various pollutants, including radioactive pollutants, in the atmosphere. It also facilitates research on pollution sources. This study simulated the transport of hazardous aerosols in St. Louis region for the years 2020, 2021, and 2022 using the HYSPLIT modeling program. First, the monthly and seasonal atmospheric transport of St. Louis region was determined using the HYSPLIT program in 2020, 2021, and 2022. It also analyzed the air pollutants observed in St. Louis region in 2020, 2021, and 2022. Then, the dates when hazardous aerosols would be at their highest were determined. Backward and forward trajectories were calculated using the HYSPLIT modeling program, and cluster analyses were performed on pollutants entering the region and pollutants being transported out of the region. As a result of the research, the use of fireworks during Fourth of July celebrations has been linked to an increase in the concentration of PM2.5 and SO2 in the atmosphere"-- Abstract, p. iii

Advisor(s)

Wang, Yang

Committee Member(s)

Usman, Shoaib
Sahiner, Huseyin

Department(s)

Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Environmental Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2024

Pagination

xiii, 86 pages

Note about bibliography

Includes_bibliographical_references_(pages 82-85)

Rights

© 2023 Ahmet Tolga Odabasi, All rights reserved

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12342

Electronic OCLC #

1427255250

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