1-D crustal resistivity structure revealed by sea effect corrected magnetotelluric (MT) data obtained at Jeju Island, Korea

Yang, Jun‐Mo; Lee, Choon-Ki; Min, Dong‐Joo; Heuisoon, Lee; Lee, Tae Jong

doi:10.1016/j.jappgeo.2011.10.011

Cited by 4 publications

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“…제주도의 심부 구조를 이해하기 위한 지구물리 탐사도 많이 수행되었는데, 중·자력탐사 (Lee, 1994;Kwon et al, 1995) 외에도 자기지전류(MagnetoTelluric, MT) 탐사가 수행되어 왔 다 (Lee et al, 2008;Lee et al, 2009;Nam et al, 2009;Yang et al, 2010;Yang et al, 2012 (Oh et al, 2000). 서귀포층은 연 체동물화석을 비롯하여 석회질 초미화석, 유공충, 완족류, 성 게, 개형충 등 다량의 화석을 포함하고 있어 해안~외대륙붕의 천해환경에서 퇴적된 것으로 알려져 있다 (Oh et al, 2000).…”

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Distribution of Electrically Conductive Sedimentary Layer in Jeju Island Derived from Magnetotelluric Measurements

Lee¹,

Heuisoon²,

Oh³

et al. 2014

Geophysics and Geophysical Exploration

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Abstract:We investigate the spatial distribution of highly conductive layer using the one-dimensional inversions of the new magnetotelluric (MT) measurements obtained at the mid-mountain (400~900 m in elevation) western area of Jeju Island and the previous MT data over Jeju Island, Korea. The conductive layer indicates the sedimentary layer comprised of Seoguipo Fomation and U Formation. There is a definite positive correlation between the top of conductive layer and the earth surface in elevation. On the contrary, the bottom of conductive layer has a negative correlation with the surface elevation. In other words, the conductive layer has a shape of convex lens, which is thickest in the central part. The basement beneath the conductive layer could be concave in the central part of Jeju Island. A kriging considering the correlation between the layer boundary and the surface elevation provides a reliable geoelectric structure model of Jeju Island. However, further studies, i.e. three-dimensional modeling and interpretation integrated with other geophysical or logging data, are required to reveal the possible presence of three-dimensional conductive body near the subsurface vent of Mt. Halla and the causes of the bias in the depths of layer estimated from MT and core log data.

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