Student Research Reports
Open social media sharing options menu
Ozone Tracker: Key Factors Affecting Ground-Level Ozone with AI Prediction
Organization(s):KaoHsiung Girls Senior High school
Country:Taiwan Partnership
Student(s):Chuang, Ya-Chen
Li, Jia-Syuan
Chen, Yu-Hsin
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Member(s):Chien-Hung Chen
Contributors:
Report Type(s):Virtual Science Symposium Report
Protocols:Precipitation, Earth As a System, Wind
Presentation Video:
View Video
Presentation Poster:
View Document
Language(s):English
Date Submitted:2026-01-30
Ground-level ozone is an important air pollutant that often reaches high concentrations under strong sunlight and poses potential health risks. Because ozone is a secondary pollutant, its formation is strongly influenced by meteorological conditions. In this study, hourly air quality and meteorological data from 2014 to 2024 in Taiwan were analyzed to investigate the relationships between ozone and key factors, including global solar radiation, precipitation, average wind speed, and NOx concentration. Temporal variations and the effects of extreme weather events, such as typhoons, were also examined. Based on these results, an AI-based model was developed to predict ozone concentration for air quality assessment.