College
Buchtel College of Arts and Sciences
Date of Last Revision
2025-04-26 12:12:11
Major
Statistics
Honors Course
STAT 498
Number of Credits
3
Degree Name
Bachelor of Science
Date of Expected Graduation
Spring 2025
Abstract
With the increase in population and industrialization around the world, climate has become a major concern for many researchers. One measure that has drawn much interest is air quality. There are available resources that track the Air Quality Index (AQI) in most large cities, but there is a general lack of information regarding Air Quality forecasts, even for one day in the future. This project aims to find a useful statistical model for representing and predicting the AQI measure in Akron, Ohio over time. By using historical air quality data from the United States Environmental Protection Agency and AQI.in, an international air quality tracking website, a time series ARIMA model for air quality was developed for prediction. Given the information of the day prior, this model provides a good way to estimate the AQI of the next day. This proposed model can be used to predict potential spikes in AQI that may be dangerous for vulnerable individuals. Future research may aim to find more accurate models so people can be more aware and prepared for the quality of their air tomorrow and beyond.
Research Sponsor
Dr. Jun Ye
First Reader
Dr. Nao Mimoto
Second Reader
Dr. Mark Fridline
Honors Faculty Advisor
Dr. Nao Mimoto
Proprietary and/or Confidential Information
No
Recommended Citation
Yurich, Mason, "Time Series Modeling of Akron Air Quality Index (AQI) Data" (2025). Williams Honors College, Honors Research Projects. 1982.
https://ideaexchange.uakron.edu/honors_research_projects/1982