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Time-lapse electrical resistivity tomography and ground penetrating radar mapping of the active layer of permafrost across a snow fence in Cambridge Bay, Nunavut Territory, Canada: correlation interpretation using vegetation and meteorological data

Cited 2 time in wos
Cited 4 time in scopus

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dc.contributor.authorKim, KwanSoo-
dc.contributor.authorLee, Joohan-
dc.contributor.authorJu, Hyeontae-
dc.contributor.authorJung, Ji Young-
dc.contributor.authorChae, Namyi-
dc.contributor.authorChi, Junhwa-
dc.contributor.authorKwon, Min Jung-
dc.contributor.authorLee, Bang Yong-
dc.contributor.authorWagner, Johann-
dc.contributor.authorKim, Ji-Soo-
dc.date.accessioned2022-07-07T07:30:54Z-
dc.date.available2022-07-07T07:30:54Z-
dc.date.issued2021-12-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/13616-
dc.description.abstractThe active layer thickness (ALT) is a key parameter for permafrost studies. Changes in the ALT are affected mainly by air and ground temperatures, physical and thermal properties of the surface and subsurface materials, soil moisture, vegetation, and the duration and thickness of snow cover. Ground penetrating radar (GPR) and electrical resistivity tomography (ERT) were employed across a snow fence during the thawing season to delineate and monitor the active layer of permafrost in Cambridge Bay, Nunavut, Canada. The variation of the ALT is well captured by the high-resolution time-lapse radargram. At the position of the fence, the active layer thickens over the thawing period from 0.5 m depth at the beginning to 1.0 m depth at the end. The active layer is thicker in the pre-fence area (C zone) than in the post-fence area (H zone). As the air temperature increases with time, the difference in thickness between the two zones decreases, eventually becoming almost equal. Changes in the ALT are represented in the ERT by low resistivities (< 200 omega m), which decrease gradually with time. This occurs most significantly in the H zone due to the rapidly increasing temperature in the absence of snow cover. The electrical resistivity structure of the active layer is well correlated with the vegetation activity, as measured by the normalized difference vegetation index, air/ground temperatures, soil moisture, snow cover, and snow accumulation controlled by the fence. Geophysical data interpretation and correlation schemes with vegetation and meteorological data explored in this paper can be applied to monitor the active layer, which is expected to thin during the freezing season.en_US
dc.languageEnglishen_US
dc.language.isoenen_US
dc.subjectGeologyen_US
dc.subject.classification기타()en_US
dc.titleTime-lapse electrical resistivity tomography and ground penetrating radar mapping of the active layer of permafrost across a snow fence in Cambridge Bay, Nunavut Territory, Canada: correlation interpretation using vegetation and meteorological dataen_US
dc.title.alternative지구물리탐사 방법을 이용한 인공 강설변화에 따른 활동층 시간경과 측정: 식생 및 기상자료와의 연계해석en_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationKim, KwanSoo, et al. 2021. "Time-lapse electrical resistivity tomography and ground penetrating radar mapping of the active layer of permafrost across a snow fence in Cambridge Bay, Nunavut Territory, Canada: correlation interpretation using vegetation and meteorological data". <em>GEOSCIENCES JOURNAL</em>, 25(6): 877-890.-
dc.citation.titleGEOSCIENCES JOURNALen_US
dc.citation.volume25en_US
dc.citation.number6en_US
dc.identifier.doi10.1007/s12303-021-0021-7-
dc.citation.startPage877en_US
dc.citation.endPage890en_US
dc.description.articleClassificationSCIE-
dc.description.jcrRateJCR 2019:65.5en_US
dc.subject.keywordsnow fenceen_US
dc.subject.keywordgeophysical surveyen_US
dc.subject.keywordactive layeren_US
dc.subject.keywordnormalized difference vegetation index (NDVI)en_US
dc.subject.keywordpermafrosten_US
dc.identifier.localId2021-0043-
dc.identifier.scopusid2-s2.0-85113684638-
dc.identifier.wosid000690367800002-
Appears in Collections  
2021-2021, The Korean Route Exploration and Technology Development for Antarctic Inland Researches (21-21) / Lee, Khanghyun (PE21080)
2021-2021, Interrelationship Investigation and Comprehensive Monitoring based on Permafrost-Atmospheric Environment (21-21) / Lee, Bang Yong (PN21011)
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