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Applicability of DGCI (Dark Green Color Index) to Assess Potential Impacts of CO2 Leakage from the Geological Storage Site

이산화탄소 지중저장 시설의 잠재적 누출 판단을 위한 DGCI(Dark Green Color Index) 적용 가능성 평가

  • Yoo, Sin Yee (Dept. of Environmental Science and Engineering, Kyung Hee University) ;
  • Song, Yoon Jin (Dept. of Environmental Science and Engineering, Kyung Hee University) ;
  • Oh, Hee Joo (Dept. of Environmental Science and Engineering, Kyung Hee University) ;
  • Kim, You Jin (Dept. of Environmental Science and Engineering, Kyung Hee University) ;
  • Yoo, Ga Young (Dept. of Environmental Science and Engineering, Kyung Hee University)
  • 유신이 (경희대학교 환경학 및 환경공학과) ;
  • 송윤진 (경희대학교 환경학 및 환경공학과) ;
  • 오희주 (경희대학교 환경학 및 환경공학과) ;
  • 김유진 (경희대학교 환경학 및 환경공학과) ;
  • 유가영 (경희대학교 환경학 및 환경공학과)
  • Received : 2016.08.30
  • Accepted : 2016.09.23
  • Published : 2016.09.29

Abstract

The carbon capture and storage (CCS), which collects and stores carbon dioxide in a geological site, is a promising option to mitigate climate change. However, there is the possibility of carbon dioxide leakage from the soil in the steps of collecting, transporting, and storing. To ensure the feasibility of this technology, it is important to monitor the leakage of carbon dioxide and to assess the potential impacts. As plants are sensitive to the changes in carbon dioxide in the soil environment, we can utilize plant parameter to detect the carbon dioxide leakage. Currently, chlorophyll a content is a conventional index indicating the changes in plants, however, this method is labor intensive and it only utilizes a small portion of leaves. To overcome its limitations, a simple spectroscopic parameter, DGCI (dark green color index), was suggested as an easy and quick indicator. In this study, we compared the values of chlorophyll a contents with DGCI from the experiment investigating the impacts of high underground $CO_2$ on grape plants. Results suggest that DGCI had high correlation with chlorophyll a contents and it has high potential to be utilized as an easy indicator to monitor plants' responses to $CO_2$ treatment.

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