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http://dx.doi.org/10.7780/kjrs.2017.33.5.1.2

Relationship Analysis between Lineaments and Epicenters using Hotspot Analysis: The Case of Geochang Region, South Korea  

Jo, Hyun-Woo (Department of Environmental Science and Ecological Engineering, Korea University)
Chi, Kwang-Hoon (Department of Environmental Science and Ecological Engineering, Korea University)
Cha, Sungeun (Department of Environmental Science and Ecological Engineering, Korea University)
Kim, Eunji (Department of Climate Environment, Korea University)
Lee, Woo-Kyun (Department of Environmental Science and Ecological Engineering, Korea University)
Publication Information
Korean Journal of Remote Sensing / v.33, no.5_1, 2017 , pp. 469-480 More about this Journal
Abstract
This study aims to understand the relationship between lineaments and epicenters in Geochang region, Gyungsangnam-do, South Korea. An instrumental observation of earthquakes has been started by Korea Meteorological Administration (KMA) since 1978 and there were 6 earthquakes with magnitude ranging 2 to 2.5 in Geochang region from 1978 to 2016. Lineaments were extracted from LANDSAT 8 satellite image and shaded relief map displayed in 3-dimension using Digital Elevation Model (DEM). Then, lineament density was statistically examined by hotspot analysis. Hexagonal grids were generated to perform the analysis because hexagonal pattern expresses lineaments with less discontinuity than square girds, and the size of the grid was selected to minimize a variance of lineament density. Since hotspot analysis measures the extent of clustering with Z score, Z scores computed with lineaments' frequency ($L_f$), length ($L_d$), and intersection ($L_t$) were used to find lineament clusters in the density map. Furthermore, the Z scores were extracted from the epicenters and examined to see the relevance of each density elements to epicenters. As a result, 15 among 18 densities,recorded as 3 elements in 6 epicenters, were higher than 1.65 which is 95% of the standard normal distribution. This indicates that epicenters coincide with high density area. Especially, $L_f$ and $L_t$ had a significant relationship with epicenter, being located in upper 95% of the standard normal distribution, except for one epicenter in $L_t$. This study can be used to identify potential seismic zones by improving the accuracy of expressing lineaments' spatial distribution and analyzing relationship between lineament density and epicenter. However, additional studies in wider study area with more epicenters are recommended to promote the results.
Keywords
Lineament; Earthquake; Density map; Hotspot analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Chavez, P., S.C. Sides, and J.A. Anderson, 1991. Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic, Photogrammetric Engineering and Remote Sensing, 57(3): 295-303.
2 Chi, K.H. and S.Y. Seo, 1991. Remote sensing research, Rural Research Institute, p.95
3 O'leary, D.W., J.D. Friedman, and H.A. Pohn, 1976. Lineament, linear, lineation: some proposed new standards for old terms, Geological Society of America Bulletin, 87(10): 1463-1469.   DOI
4 Greenbaum, D., 1985. Review of remote sensing applications to groundwater exploration in basement and regolith, British Geological Survey Report, 85/8 (WC/OG/85/001).
5 Jia, H. and L. Lin, 2010. Optimisation of representative elementary area (REA) for the preparation of lineament density map of fractured rock aquifer, Water SA, 36(3): 295-308.
6 Wells, D.L. and K.J. Coppersmith, 1994. New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement, Bulletin of the seismological Society of America, 84(4): 974-1002.
7 Sabins Jr, F.F., 1978. Remote sensing principles and interpretation, W. H. Freeman, San Francisco, CA, USA, pp.426.
8 Raj, K.G. and R. Nijagunappa, 2004. Major lineaments of Karnataka state and their relation to seismicity: a remote sensing based analysis, Journal Geological Society of India, 63(4): 430-439.
9 Fujiwara, S., H. Yarai, T. Kobayashi, Y. Morishita, T. Nakano, B. Miyahara, H. Nakai, Y. Miura, H. Ueshiba, Y. Kakiage, and H. Une, 2016. Smalldisplacement linear surface ruptures of the 2016 Kumamoto earthquake sequence detected by ALOS2-SAR interferometry, Earth, Planets and Space, 68(1): 160.   DOI
10 Cha, S.E., K.H. Chi, H.W. Jo, E.J. Kim, and W.K. Lee, 2016. The relationship analysis between the epicenter and lineaments in the Odaesan area using satellite images and shaded relief maps, Journal of the Korean Association of Geographic Information Studies, 19(3): 61-74 (in Korean with English abstract).   DOI