3-D Mapping of BC and CO2 Concentrations Using Mobile Monitoring Platforms in an Industrial Complex

3-D Mapping of BC and CO₂ Concentrations Using Mobile Monitoring Platforms in an Industrial Complex

Yongchan Kim¹, Yeon-Uk Kim², Young-Jin Son², Wonseok Ko³, Dongwon Choi³, Jimin Kim⁴, Sooyeon Kim⁴, Kyung-Hwan Kwak^4,*

¹School of Natural Resources and Environmental Science, Kangwon National University, Chuncheon, Republic of Korea

²Department of Environmental and Biomedical Convergence, Kangwon National University, Chuncheon, Republic of Korea

³Department of Integrated Particulate Matter Management Science, Kangwon National University, Chuncheon, Republic of Korea

⁴Department of Environmental Science, Kangwon National University, Chuncheon, Republic of Korea

Many industrial complexes and densely populated residential areas have been characterized as large sources of air pollutants and greenhouse gases. Their emissions are required to be accurately estimated with a high spatio-temporal resolution, especially in a metropolitan area such as the Seoul metropolitan area in South Korea. Recently, mobile monitoring platforms including vehicle, tram, bicycle, and unmanned aerial vehicle (UAV), etc. have been increasingly applied to monitor the spatial variations of air pollutants and greenhouse gases in complex industrial and urban areas. This study aims to identify the major sources of black carbon (BC) and carbon dioxide (CO₂) by mapping their concentrations in a three dimension using mobile monitoring platforms. From 21st to 24th, August, 2023, the 3-D mobile monitoring was conducted using a electric vehicle, electric bicycle, and UAV within and around a mid-size park mainly surrounded by factories and industrial facilities in South Korea. The ground mobile measurements using electric vehicle and bicycle were performed for 20-30 minutes per each cycle. Between every ground mobile measurement, multiple vertical profiles of BC and CO₂ concentrations were obtained based on the drone measurement up to the 150-m height from the ground. Then, the measured BC and CO₂ concentrations are filtered to minimize their noises and finally plotted in the 3-D map using a GIS software. We will present the major BC and CO₂ sources in the 3-D map and a possible method to estimate their contributions to ambient concentrations.

Acknowledgements

This work was supported by “Korea Environment Industry & Technology Institute(KEITI) through Project for developing an observation-based GHG emissions geospatial information map, funded by Korea Ministry of Environment(MOE) (RS-2023-00232066).” and “the FRIEND (Fine Particle Research Initiative in East Asia Considering National Differences) Project through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT. (2023M3G1A1090663).”