Next Article in Journal
Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images
Previous Article in Journal
Seismological Observations of Ocean Swells Induced by Typhoon Megi Using Dispersive Microseisms Recorded in Coastal Areas
Article

Development of Raman Lidar for Remote Sensing of CO2 Leakage at an Artificial Carbon Capture and Storage Site

1
Division of Earth Environmental System Science Major of Spatial Information Engineering, Pukyong National University, Busan 48513, Korea
2
Department of Urban Environmental Engineering, Kyungnam University, Gyeongsangnam-do 631-701, Korea
3
GeoGreen21 Co., Ltd., Seoul 08376, Korea
4
Department of Earth and Environmental Sciences, Korea University, Seoul 02841, Korea
5
SOLETOP Co., Ltd., 409 Expo-ro, Yuseong-gu, Daejeon 34051, Korea
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(9), 1439; https://doi.org/10.3390/rs10091439
Received: 17 July 2018 / Revised: 3 September 2018 / Accepted: 6 September 2018 / Published: 9 September 2018
(This article belongs to the Section Atmosphere Remote Sensing)
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. View Full-Text
Keywords: CO2; Raman lidar; Carbon capture and storage; CO2 leakage remote sensing CO2; Raman lidar; Carbon capture and storage; CO2 leakage remote sensing
Show Figures

Figure 1

MDPI and ACS Style

Kim, D.; Kang, H.; Ryu, J.-Y.; Jun, S.-C.; Yun, S.-T.; Choi, S.; Park, S.; Yoon, M.; Lee, H. Development of Raman Lidar for Remote Sensing of CO2 Leakage at an Artificial Carbon Capture and Storage Site. Remote Sens. 2018, 10, 1439. https://doi.org/10.3390/rs10091439

AMA Style

Kim D, Kang H, Ryu J-Y, Jun S-C, Yun S-T, Choi S, Park S, Yoon M, Lee H. Development of Raman Lidar for Remote Sensing of CO2 Leakage at an Artificial Carbon Capture and Storage Site. Remote Sensing. 2018; 10(9):1439. https://doi.org/10.3390/rs10091439

Chicago/Turabian Style

Kim, Daewon, Hyeongwoo Kang, Jea-Yong Ryu, Seong-Chun Jun, Seong-Taek Yun, SungChul Choi, SunHo Park, MoonSang Yoon, and Hanlim Lee. 2018. "Development of Raman Lidar for Remote Sensing of CO2 Leakage at an Artificial Carbon Capture and Storage Site" Remote Sensing 10, no. 9: 1439. https://doi.org/10.3390/rs10091439

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop