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

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dc.contributor.authorKim, Daewon-
dc.contributor.authorKang, Hyeongwoo-
dc.contributor.authorRyu, Jea-Yong-
dc.contributor.authorJun, Seong-Chun-
dc.contributor.authorYun, Seong-Taek-
dc.contributor.authorChoi, SungChul-
dc.contributor.authorPark, SunHo-
dc.contributor.authorYoon, MoonSang-
dc.contributor.authorLee, Hanlim-
dc.date.accessioned2021-09-02T06:40:46Z-
dc.date.available2021-09-02T06:40:46Z-
dc.date.created2021-06-16-
dc.date.issued2018-09-
dc.identifier.issn2072-4292-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/73222-
dc.description.abstractWe 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.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectINJECTION-
dc.subjectSYSTEM-
dc.subjectIMPACT-
dc.titleDevelopment of Raman Lidar for Remote Sensing of CO2 Leakage at an Artificial Carbon Capture and Storage Site-
dc.typeArticle-
dc.contributor.affiliatedAuthorYun, Seong-Taek-
dc.identifier.doi10.3390/rs10091439-
dc.identifier.scopusid2-s2.0-85053626569-
dc.identifier.wosid000449993800119-
dc.identifier.bibliographicCitationREMOTE SENSING, v.10, no.9-
dc.relation.isPartOfREMOTE SENSING-
dc.citation.titleREMOTE SENSING-
dc.citation.volume10-
dc.citation.number9-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEnvironmental Sciences & Ecology-
dc.relation.journalResearchAreaGeology-
dc.relation.journalResearchAreaRemote Sensing-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryEnvironmental Sciences-
dc.relation.journalWebOfScienceCategoryGeosciences, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryRemote Sensing-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.subject.keywordPlusINJECTION-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusIMPACT-
dc.subject.keywordAuthorCO2-
dc.subject.keywordAuthorRaman lidar-
dc.subject.keywordAuthorCarbon capture and storage-
dc.subject.keywordAuthorCO2 leakage remote sensing-
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