Development of Raman Lidar for Remote Sensing of CO2 Leakage at an Artificial Carbon Capture and Storage Site
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Daewon | - |
dc.contributor.author | Kang, Hyeongwoo | - |
dc.contributor.author | Ryu, Jea-Yong | - |
dc.contributor.author | Jun, Seong-Chun | - |
dc.contributor.author | Yun, Seong-Taek | - |
dc.contributor.author | Choi, SungChul | - |
dc.contributor.author | Park, SunHo | - |
dc.contributor.author | Yoon, MoonSang | - |
dc.contributor.author | Lee, Hanlim | - |
dc.date.accessioned | 2021-09-02T06:40:46Z | - |
dc.date.available | 2021-09-02T06:40:46Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-09 | - |
dc.identifier.issn | 2072-4292 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/73222 | - |
dc.description.abstract | 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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | INJECTION | - |
dc.subject | SYSTEM | - |
dc.subject | IMPACT | - |
dc.title | Development of Raman Lidar for Remote Sensing of CO2 Leakage at an Artificial Carbon Capture and Storage Site | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yun, Seong-Taek | - |
dc.identifier.doi | 10.3390/rs10091439 | - |
dc.identifier.scopusid | 2-s2.0-85053626569 | - |
dc.identifier.wosid | 000449993800119 | - |
dc.identifier.bibliographicCitation | REMOTE SENSING, v.10, no.9 | - |
dc.relation.isPartOf | REMOTE SENSING | - |
dc.citation.title | REMOTE SENSING | - |
dc.citation.volume | 10 | - |
dc.citation.number | 9 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Geology | - |
dc.relation.journalResearchArea | Remote Sensing | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Geosciences, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Remote Sensing | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.subject.keywordPlus | INJECTION | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | IMPACT | - |
dc.subject.keywordAuthor | CO2 | - |
dc.subject.keywordAuthor | Raman lidar | - |
dc.subject.keywordAuthor | Carbon capture and storage | - |
dc.subject.keywordAuthor | CO2 leakage remote sensing | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.