Investigating Spatiotemporal Patterns of PM2.5 (Fine Particulate Matter) Pollution Utilizing Data From Low-Cost Sensor Networks and Satellites at Schools in Roma, Texas, USA

Author

Kabir Bahadur Shah, The University of Texas Rio Grande Valley

Date of Award

5-2025

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Agricultural, Environmental, and Sustainability Sciences

First Advisor

Amit Raysoni

Second Advisor

Juan Gonzalez

Third Advisor

MD Saydur Rahman

Abstract

Air pollution, particularly fine particulate matter (PM2.5), poses a serious health risk, especially to children. Their developing lungs and higher inhalation rates make them more vulnerable to harmful air quality. In the United States, children spend up to 6-8 hours a day in schools, exposing them to both indoor and outdoor pollutants. This study investigates the spatiotemporal variability of PM2.5 levels at six schools in Roma, Texas, using low-cost sensors deployed from November 2023 to April 2024. The results reveal clear temporal trends, showing peaks in PM2.5 levels during morning (6:00–9:00 AM) and evening (5:00–9:00 PM) commute hours, whereas the spatial differences were linked to proximity to nearby roads. Additionally, meteorological conditions and satellite data, including MODIS aerosol optical depth (AOD) and NOAA smoke maps, indicate that transboundary smoke events also contributed to short-term PM2.5 spikes, especially during March and April. These findings highlight the importance of local air monitoring in addressing the potential PM2.5 exposure of school-going children.

Comments

Copyright 2025 Kabir Bahadur Shah. https://proquest.com/docview/3240615881

Recommended Citation

Shah, K. B. (2025). Investigating Spatiotemporal Patterns of PM2.5 (Fine Particulate Matter) Pollution Utilizing Data From Low-Cost Sensor Networks and Satellites at Schools in Roma, Texas, USA [Master's thesis, The University of Texas Rio Grande Valley]. ScholarWorks @ UTRGV. https://scholarworks.utrgv.edu/etd/1726