Characterization of VOC Emission at the Wonju Munmak Regional Industrial Complex Using PTR-ToF-MS

• Published in: Journal of Forest and Environmental Science Vol. 41; no. 1; pp. 58 - 66
• Main Authors: Do-Won Lee, Myeong-Ju Kim, 이의재, Jeong-Ho Kim, 오병훈, 이상덕
• Format: Journal Article
• Language: English
• Published: 산림과학연구소 31.03.2025
• Subjects: 임학; BVOCs; emission characteristics; PTR-ToF-MS; AVOCs; industrial complex
• ISSN: 2288-9744; 2288-9752

Volatile organic compounds (VOCs) are known to combine with NOx in the atmosphere, forming ozone, Secondary organic aerosols (SOA), and organic acids. VOCs are typically classified as anthropogenic (AVOCs) or biogenic (BVOCs). The Munmak Industrial Complex in Wonju is expected to feature a mix of AVOCs emitted from industrial activities and BVOCs from nearby forests. This study aimed to analyze the real-time emission characteristics of VOCs near the Munmak Industrial Complex in Wonju, Gangwon province, to assess VOCs concentration levels originating from both the surrounding forest and the industrial complex. Using PTR-ToF-MS, concentrations of benzene, toluene, isoprene, and pinene were measured and analyzed from July 3 to July 16, 2021. Results indicated that BVOCs accounted for 57% of the measured compounds, indicating a significant proportion. Notably, isoprene concentration displayed a strong positive correlation with temperature (r=0.78). Toluene showed a recurring increase at night, while pinene showed a decrease during the day and an increase at night. Average concentrations of benzene and toluene were 0.11 ppb and 0.87 ppb, respectively, which were significantly lower than levels reported in other large industrial areas, roadsides, and landfills. However, as other studies often rely on solid sorbent tubes or tedlar bags in accordance with atmospheric pollution process standards, they do not provide continuous measurements. This study highlights the necessity of real-time VOC monitoring for effective VOC management and provides fundamental data for developing air quality improvement measures in small and medium-sized cities.