Physicochemical Properties and CO₂ Adsorption Efficiency of Biochar Produced Under Varying Conditions (working title)
Moon, S., Koh, S., Park, D., Lee, J.Y.*
2025
2
Predicting Altitude-Based Roadside Air Pollution Using UAVs and Machine Learning (working title)
Koh, C., Seo, S., Kim, S., Jeong, M., Kang, H., Lee, J.Y.*
2025
3
Prediction of airborne pollen concentrations in South Korea using machine learning (working title)
Hwang, H., Eeftens, M., Regettli, M., Lee, J.Y.*
2025
4
Identifying and predicting sources of particulate matter based on machine learning algorithms
Hwang, H., Heo, J.S., Ko, C.J., Kim, S., Jung, M., Lee, J.Y.*
Atmospheric Environment, 2025
5
Vertical concentration of air pollutants based on unmanned aerial vehicle measurements during winter period
Hwang, H., Park, J.S., Lee, J.Y.*
Atmospheric Environment, 2025
6
Secondary organic aerosol formation through photochemical oxidation of NO and SO2 in indoor smog chamber
Ko, C.J., Moon, S., Lee, J.Y.*
Journal of Environmental Engineering, 2025
7
Understanding the physicochemical characteristics of PM2.5 under meteorological influence: A study in South Chungcheong Province, South Korea (2021–2022)
Park, S., Kim, J., Lee, J.Y., Park, J.-S., Lee, K., Park, J., Kim, J.B.
Atmospheric Pollution Research, 2025
8
Source identification of ultrafine particulate matter and ammonia emissions in the metropolitan area
Heo, J.S., Hwang, H., Lee, J.Y.*
Environmental Engineering Research, 2025
9
Augmentation of PM1.0 measurements based on machine learning model and environmental factors
Hwang, H., Park, J., Kim, J.B., Kim, J., Lee, J.Y.*
Journal of Environmental Science, 2024
10
Vertical profiles of PM2.5 and O3 measured using unmanned aerial vehicle (UAV) and their relationships with synoptic- and local-scale air movement