Development of Raman lidar for remote sensing of CO2 leakage at an artificial carbon capture and storage site

Daewon Kim, Hyeongwoo Kang, Jea Yong Ryu, Seong Chun Jun, Seong Taek Yun, Sung Chul Choi, Sun Ho Park, Moon Sang Yoon, Hanlim Lee

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


We developed a Raman lidar system that can remotely detect CO2 leakage and its volume mixing ratio (VMR). The system consists of a laser, a telescope, an optical receiver, and detectors. Indoor CO2 cell measurements show that the accuracy of the Raman lidar is 99.89%. Field measurements were carried out over a four-day period in November 2017 at the Eumsong Environmental Impact Evaluation Test Facility (EIT), Korea, where a CO2 leak was located 0.2 km from the Raman lidar. The results show good agreement between CO2 VMR measured by the Raman lidar system (CO2 VMRRaman LIDAR) and that measured by in situ instruments (CO2 VMRIn-situ). The correlation coefficient (R), mean absolute error (MAE), root mean square error (RMSE), and percentage difference between CO2 VMRIn-situ and CO2 VMRRaman LIDAR are 0.81, 0.27%, 0.37%, and 4.92%, respectively. The results indicate that Raman lidar is an effective tool in detecting CO2 leakage and in measuring CO2 VMR remotely.

Original languageEnglish
Article number1439
JournalRemote Sensing
Issue number9
Publication statusPublished - 2018 Sep 1


  • CO
  • CO leakage remote sensing
  • Carbon capture and storage
  • Raman lidar

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)


Dive into the research topics of 'Development of Raman lidar for remote sensing of CO<sub>2</sub> leakage at an artificial carbon capture and storage site'. Together they form a unique fingerprint.

Cite this