Description

Particulate matter (PM) pollution poses significant health risks, influenced by various meteorological factors and seasonal variations. This study investigates the impact of temperature and other meteorological variables on PM10 and PM2.5 levels in Fresno County, known for high air pollution. Multiple linear regression (MLR) and generalized additive models (GAMs) assess the significance of these relationships. Analyzing data from Fresno County, we examine PM10 and PM2.5 levels across "hot" (June to August) and "cool" (September to May) seasons. Findings indicate PM10, both MLR and GAM models identify statistically significant variables, excluding temperature and wind direction in each season. However, during the hot season, both temperature and wind direction become statistically significant predictors of PM10. These variables remain insignificant during the cool season. For PM2.5, the MLR model suggests that temperature, humidity, and wind direction are not significant throughout the entire season, while the GAM model finds only wind direction to be insignificant. The temperature is highly significant for hot and cool seasons under the MLR model, whereas humidity becomes insignificant under the GAM model. Model performance is evaluated using measures of fit, indicating that MLR outperforms GAM for PM10 during the entire and hot seasons, while GAM performs better during the cool season. For PM2.5, GAM outperforms MLR during the cool seasons, with no clear distinction in performance during the hot season. The regional air quality PM2.5 at Fresno and meteorological conditions were closely related to the concentration of on-road particulate matter. From the intercity monitoring of PM2.5 and BC, on-road concentrations were statistically significantly higher than those measured in-vehicle (p<.001). Therefore, in-vehicle particle concentrations were safe compared to the on-road concentrations. In most cases, PM2.5 on the highways was higher than PM2.5 on the local roadways. On-road transportation-related particles measured in the San Joaquin Valley were significantly higher than those measured in the Bay Area. The results from a daily dose of transportation-related PM2.5 estimation based on a 2-hour commute and an 8-hour trip demonstrated that children under 11 years of age are more vulnerable than adults. In-vehicle daily doses were significantly lower than the on-road daily doses. This study highlights the importance of considering seasonal variations and meteorological factors when modeling PM pollution. It underscores PM's sensitivity to temperature and wind direction in Fresno County's hot season, offering insights for effective pollution management from transportation and policy implementation to mitigate the adverse health effects.

Publication Date

7-2024

Publication Type

Report

Topic

Transportation Technology, Sustainable Transportation and Land Use, Planning and Policy

Digital Object Identifier

10.31979/mti.2024.2220

MTI Project

2220

Keywords

Transportation-related air pollutant exposure, Particulate matter, Public health impact, Meteorological factors, Air quality analysis

Disciplines

Atmospheric Sciences | Climate | Environmental Health and Protection | Meteorology | Public Policy | Transportation

Additional Files
2220-RB-Kwon-Air-Pollutant-Exposure-Public-Health-Impact.pdf (660 kB)
Research Brief
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