EGU25-10784, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-10784
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 29 Apr, 08:30–10:15 (CEST), Display time Tuesday, 29 Apr, 08:30–12:30
 
Hall X5, X5.244
Real-Time Monitoring of Air Pollution and Detection of Illegal Emissions Using Advanced Scanning LiDAR Technology
Seong-min Kim1, Kwanchul Kim1, Gahye Lee1, Jeong-min Park1, Sea-ho Oh1, Min-kyung Sung1, Sangcheol Kim2, Youndae Jung3, Ilkwon Yang3, Byung-Jin Choi3, Sungchul Choi4, and Changgi Choi4
Seong-min Kim et al.
  • 1Advanced Institute of Convergence Technology (AICT), Advanced Environmental Monitoring Center, Korea, Republic of (seongminkim@snu.ac.kr)
  • 2Sungkyunkwan University, Suwon-si, Gyeonggi-do, South Korea
  • 3Climate & Environment Division Scientific Environment Surveillance Team, Gyeonggi Provincial Government, Suwon-si, Gyeonggi-do, South Korea
  • 4Samwoo TCS Co., Ltd, South Korea

Air pollution is a persistent environmental and public health challenge, particularly in industrial areas characterized by diverse and diffuse emission sources. This study demonstrates the application of an advanced scanning LiDAR system for real-time monitoring of particulate matter (PM2.5, PM10) and the detection of illegal emissions in Gyeonggi Province, South Korea. The system employs advanced remote sensing technology, enabling 360° atmospheric scans within a 5 km radius at 30-minute intervals, with a spatial resolution of 30 meters.

During its deployment in the Sihwa National Industrial Complex, home to over 978 industrial facilities, the LiDAR system identified 192 potential illegal emission sources. Subsequent investigations confirmed 22 violations of environmental regulations, resulting in regulatory actions such as facility shutdowns and legal proceedings. The deployment led to a measurable improvement in air quality, evidenced by a reduction of 2.4 μg/m³ in PM2.5 levels during the operational period.

The integration of LiDAR data with complementary environmental datasets enabled precise spatiotemporal analyses, enhancing the efficiency of regulatory enforcement and fostering effective inter-agency collaboration. The results underscore the system’s potential to overcome limitations of conventional point-source monitoring, offering an innovative tool for large-scale industrial air pollution management.

This study highlights the scalability and precision of scanning LiDAR technology as a critical asset for real-time air quality monitoring and regulatory compliance. The findings advocate for broader adoption of this technology in industrial settings globally, emphasizing its ability to address complex environmental challenges and promote sustainable industrial practices.

Acknowledgement: This research was supported by a grant (2023-MOIS-20024324) of Ministry-Cooperation R&D Program of Disaster-Safety funded by Ministry of Interior and Safety (MOIS, Korea) and Climate & Environment Division Scientific Environment Surveillance Team in Gyeonggi-do Province, Korea.

How to cite: Kim, S., Kim, K., Lee, G., Park, J., Oh, S., Sung, M., Kim, S., Jung, Y., Yang, I., Choi, B.-J., Choi, S., and Choi, C.: Real-Time Monitoring of Air Pollution and Detection of Illegal Emissions Using Advanced Scanning LiDAR Technology, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10784, https://doi.org/10.5194/egusphere-egu25-10784, 2025.