Relationship Analysis between Lineaments and Epicenters using Hotspot Analysis: The Case of Geochang Region, South Korea
- Authors
- Jo, Hyun-Woo; Chi, Kwang-Hoon; Cha, Sungeun; Kim, Eunji; Lee, Woo-Kyun
- Issue Date
- 10월-2017
- Publisher
- KOREAN SOC REMOTE SENSING
- Keywords
- Lineament; Earthquake; Density map; Hotspot analysis
- Citation
- KOREAN JOURNAL OF REMOTE SENSING, v.33, no.5, pp.469 - 480
- Indexed
- KCI
- Journal Title
- KOREAN JOURNAL OF REMOTE SENSING
- Volume
- 33
- Number
- 5
- Start Page
- 469
- End Page
- 480
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/82032
- DOI
- 10.7780/kjrs.2017.33.5.1.2
- ISSN
- 1225-6161
- 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, Lf and Lt had a significant relationship with epicenter, being located in upper 95% of the standard normal distribution, except for one epicenter in Lt. 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.
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Collections - College of Life Sciences and Biotechnology > Division of Environmental Science and Ecological Engineering > 1. Journal Articles
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