Chang Keun Song
Ulsan National Institute of Science and Technology
研究室紹介
Professor Chang Keun Song's research lab specializes in atmospheric remote sensing and air quality monitoring, with a focus on tropospheric nitrogen dioxide (NO2) pollution using advanced Mobile-DOAS techniques. The lab conducts field campaigns to measure vertical column densities of pollutants in industrial and urban environments, particularly in regions like the Yeosu-Gwangyang industrial complex in South Korea. Their work integrates geospatial data, atmospheric chemistry, and retrieval algorithms to improve air quality assessment and environmental policy support. The lab also contributes to long-term monitoring strategies and pollution source identification using high-resolution mobile measurements.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
2This dataset contains Mobile-DOAS tropospheric NO2 vertical column density measurements obtained during field campaigns conducted over the Yeosu-Gwangyang industrial complex, South Korea, in June 2025, November 2025, and January 2026. The dataset includes geolocation information, observation time, retrieved NO2 tropospheric vertical column densities, and auxiliary parameters used in the analysis presented in Bae et al. (2026).
This dataset contains Mobile-DOAS tropospheric NO2 vertical column density measurements obtained during field campaigns conducted over the Yeosu-Gwangyang industrial complex, South Korea, in June 2025, November 2025, and January 2026. The dataset includes geolocation information, observation time, retrieved NO2 tropospheric vertical column densities, and auxiliary parameters used in the analysis presented in Bae et al. (2026).
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