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http://dx.doi.org/10.7857/JSGE.2015.20.1.041

Applicability of the Multi-Channel Surface-soil CO2-concentration Monitoring (SCM) System as a Surface Soil CO2 Monitoring Tool  

Sung, Ki-Sung (Geotech Consultant Co., LTD.)
Yu, Soonyoung (Research Institute for Social Criticality, Pusan National University)
Choi, Byoung-Young (Korea Institute of Geoscience and Mineral Resources (KIGAM))
Park, Jinyoung (Korea Institute of Geoscience and Mineral Resources (KIGAM))
Han, Raehee (Korea Institute of Geoscience and Mineral Resources (KIGAM))
Kim, Jeong-Chan (Korea Institute of Geoscience and Mineral Resources (KIGAM))
Park, Kwon Gyu (Korea Institute of Geoscience and Mineral Resources (KIGAM))
Chae, Gitak (Korea Institute of Geoscience and Mineral Resources (KIGAM))
Publication Information
Journal of Soil and Groundwater Environment / v.20, no.1, 2015 , pp. 41-55 More about this Journal
Abstract
Monitoring of $CO_2$ release through the ground surface is essential to confirm the safety of carbon storage projects. We conducted a feasibility study of the multi-channel surface-soil $CO_2$-concentration monitoring (SCM) system as a soil $CO_2$ monitoring tool with a small scale injection test. The background concentrations showed the distinct diurnal variation. The negative relation of $CO_2$ with temperature and the low $CO_2$ concentrations during the day imply that surface-soil $CO_2$ depends on photosynthesis and respiration. After 4.2 kg of $CO_2$ injection (1 m depth for 29 minutes), surface-soil $CO_2$ concentrations increased in the all five chambers, which were located less than 2.8 m of distance from each other. The $CO_2$ concentrations seem to be recovered to the background around 4 hours after the injection ended. To determine the leakage, the data from Chamber 2 and 5 with low increase rates were used for statistical analyses. Coefficient of variation for 30 minutes ($CV_{30min}$.) is efficient to determine a leakage signal, with reflecting the fast change in $CO_2$ concentrations. Consequently, SCM and $CV_{30min}$ could be applied for an efficient monitoring tool to detect $CO_2$ release through the ground surface. Also, this study provides ideas for establishing action steps after leakage detection.
Keywords
Geologic $CO_2$ storage; soil $CO_2$ monitoring; injection test;
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