• Geophysics and Geophysical Exploration
• /
• v.20 no.3
• /
• pp.185-192
• /
• 2017

A sequence of earthquakes with the main shock $M_L$ 5.8 occurred on September 12 2016 in the Gyeongju area. The main shock was the largest earthquakes in the southern part of the Korean peninsula since the instrumental seismic observation began in the peninsula in 1905 and clearly demonstrated that the Yangsan fault is seismically active. The mean focal depth of the foreshock, main shock, and aftershock of the Gyeongju earthquakes estimated by the crustal model of single layer of the Korean peninsula without the Conrad discontinuity turns out to be 12.9 km, which is 2.8 km lower than that estimated based on the IASP91 reference model with the Conrad discontinuity. The distribution of the historical and instrumental earthquakes in the Gyeongju area indicates that the Yangsan fault system comprising the main Yangsan fault and its subsidiary faults is a large fracture zone. The epicenters of the Gyeongju earthquakes show that a few faults of the Yangsan fault system are involved in the release of the strain energy accumulated in the area. That the major earthquakes of Gyeongju earthquakes occurred not on the surface but below 10 km depth suggests the necessity of the study of the distribution of deep active faults of the Yangsan fault system. The magnitude of maximum earthquake of the Gyeongju area estimated based on the earthquake data of the area turns out to be 7.3. The recurrence intervals of the earthquakes over magnitudes 5.0, 6.0 and 7.0 based on the earthquake data since 1978, which is the most complete data in the peninsula, are estimated as 80, 670, and 5,900 years, respectively. The September 2016 Gyeongju earthquakes are basically intraplate earthquakes not related to the Great East Japan earthquake of March 11 2011 which is interplate earthquake.

• Journal of the Earthquake Engineering Society of Korea
• /
• v.4 no.1
• /
• pp.13-34
• /
• 2000

본 연구에서는 서기 2년부터 1977년까지 남.북한 역사지진(A.D 2-1904)과 초기 계기 지진(1905-1977) 목록을 이용하여 남한 지진 규모로 재조정된 지진목록을 작성하였다 역사 지진은 과거의 협소한 인구분포로 인해 지진 기록의 누락이 많앗다 지진 위험도를 작성하기 위해 지진 발생분포와 지체구조의 특성을 고려하여 4개의 지진구(seismic province)를 설정하였다. 각 지진구에서 최대 잠재 지진결정은 Gumbel의 최대치 이론을 이용하였다 제 1수정 점근 함수 분포에서 유한 상한 값(finte upper boundary) 의 존재는 각 지진구에서 발생할 최대 잠재 지진의 진원(source)이 유한하다는 사실과 잘 일치한다. 따라서 이를 근거로 각 지진구에서 10년 , 20년, 30년, 50년 이내에 2% 5% 10% 초과 확률을 갖는 최대 규모지진을 추정하였다 또한 각 지진구에서 유한 지진원은 과거에 발생했던 큰 규모의 특정 지진과 지진 지체구조 정보에 근거하여 결정하였다. 연구결과 조선시대(1392-1904) 의 지진위험도에서는 경주 울산지역과 서울과 평양지역을 따라 높은지반 가속도 값을 보이며 경주지역에서 0.24g의 최대 지반 가속도 값으로 나타났다 계기 지진목록(1905-1998)을 이용한 한반도의 지진 위험도에서는 경주, 울산, 대구 지역에서 0.10-0.12g 의 최대 지반가속도 값을 보였다. 그리고 계기 지진 목록(1905-1998) 만을 이용하여 작성한 서울.경기 지역의 지진 위험도에서는 김포, 잠실 , 성남 지역의 한강을 따라 분포하는 충적층과 강남지역의 지반 운동이 한강 이북의 대보 화강암 지역에 비해 비교적 높은 0.09-0.10g의 지반 가속도를 보이는 것이 특징이다.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2016.11a
• /
• pp.240-241
• /
• 2016

본 논문에서는 지난 9월 12일에 한반도 관측 이래 최대 규모 5.8 지진이 발생한 경주 피해현황 대장(엑셀)을 지자체로부터 제공받아 피해현황에 대해 공간분석을 실시하였다. 현황정보를 기반으로 지진피해 주소 데이터를 기반으로 지오코딩을 수행하였으며 약 5,906건(95.6%)에 대한 속성정보를 공간정보화 하였다. 지질도 및 단층정보로 구축한 공간DB를 중첩 분석하여, 시각화된 지진피해 현황 결과를 제시하였다. 마지막으로 지진피해지역의 특징 및 현황 분석이 일차적으로 이루어져야 하며, 향후 지진피해 데이터 및 공간분석을 기반으로 지진 발생시 피해가 예상되는 지역에 대해 예측하는 모델링 및 시스템 고도화를 추진해야 할 것이다.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.22 no.1
• /
• pp.137-146
• /
• 2018

On September 12, 2016, the Gyeongju District was strongly shaken with M=5.8, which was the largest one since measured by the actual seismometer in Korea, and some buildings were damaged. The field survey of reinforced concrete school buildings in the affected area was carried out, and their residual seismic capacities(R) were estimated based on the Japanese Standard for post-earthquake damage evaluation. In this study, the M school, which was greatly damaged by the 2016 Gyeongju Earthquake, was selected, and its damage level was evaluated on the basis of the Japanese Standard. The seismic capacity of the M school was also evaluated using the nonlinear dynamic analysis, and relationships between its damage level and seismic capacity was also conducted to investigate causes of earthquake damage. The damage level of M school was classified into light with R=88.2%. The result of the dynamic analysis agreed reasonably well with the damage of M school sustained by the 2016 Gyeongju earthquake. This will provide fundamental data for earthquake preparedness measures, such as the seismic rehabilitation of low-rise reinforced concrete buildings in Korea.

• Proceedings of the KSEEG Conference
• /
• 2007.04a
• /
• pp.212-214
• /
• 2007

• Proceedings of the KSEEG Conference
• /
• 2003.04a
• /
• pp.131-134
• /
• 2003

계기지진기록에 의하면, 한반도에서는 중국이나 일본만큼 지진발생빈도가 높거나 강진은 없으나, 북한에서는 추가령단층대 이서지역, 남한에서는 아산만～영일만 일원을 따라 대상으로 분포한다. 역사지진기록에 의하면, 경주시 주변에서 8개의 큰 지진이 일어났으며, 이중 779년에 일어난 경주지진에서는 백명 이상의 사상자가 발생한 기록이 있다고 하였다(경재복, 1997). (중략)

• Journal of the Korean Association of Geographic Information Studies
• /
• v.11 no.2
• /
• pp.38-50
• /
• 2008

The site-specific seismic responses and corresponding seismic hazards are influenced mainly by the subsurface geologic and geotechnical dynamic characteristics. To estimate reliably the seismic responses in this study, a geotechnical information system (GTIS) within GIS framework was developed by introducing new concepts, which consist of the extended area containing the study area and the additional site visit for acquiring surface geo-knowledge data. The GIS-based GTIS was built for Gyeongju area, which has records of abundant historical seismic hazards reflecting the high potential of future earthquakes. At the study area, Gyeongju, intensive site investigations and pre-existing geotechnical data collections were performed and the site visits were additionally carried out for assessing geotechnical characteristics and shear wave velocity ($V_S$) representing dynamic property. Within the GTIS for Gyeongju area, the spatially distributed geotechnical layers and $V_S$ in the entire study area were reliably predicted from the site investigation data using the geostatistical kriging method. Based on the spatial geotechnical layers and $V_S$ predicted within the GTIS, a seismic zoning map on site period ($T_G$) from which the site-specific seismic responses according to the site effects can be estimated was created across the study area of Gyeongju. The spatial $T_G$ map at Gyeongju indicated seismic vulnerability of two- to five-storied buildings. In this study, the seismic zonation based on $T_G$ within the GIS-based GTIS was presented as regional efficient strategy for seismic hazard prediction and mitigation.

• Geophysics and Geophysical Exploration
• /
• v.19 no.2
• /
• pp.97-104
• /
• 2016

Small to large earthquakes have been reported in Gyeongju and its vicinity in southeast Korea during historical period as well as instrumental observation period. We identified and located more than 300 earthquakes that occurred between January 2010 and December 2014 in a $20km{\times}30km$ area, but were unreported because of their small magnitudes. We used the Joint Hypocenter Determination (JHD) method to minimize the influence of the differences between the actual earth structure and 1-D velocity model for earthquake locations. The potential relationship between the previously reported Quaternary faults and the earthquake hypocenters was investigated. Many micro-earthquakes were found to be located in the southern segment of the Yeonil Tectonic Line, the Seokup fault, and the Waup basin boundary faults.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.22 no.5
• /
• pp.1-12
• /
• 2018

This study presents the seismic response characteristics of domestic cable-supported bridges due to 3 earthquakes with magnitudes of 5.1, 5.8, and 4.5 in Richter scale, which occurred around Gyeongju region in 2016. The seismic acceleration response signals, recorded by the seismic acceleration sensors at the free field near bridge and designated positions on bridge, are utilized to characterize the seismic responses of structural elements of cable-supported bridges. The dynamic behaviors of bridges are presented through Fourier transform of acceleration time history. Using the peak accelerations normalized by those at the free fields, amplification effects on the tops of the pylons are analyzed comparatively bridge by bridge. Using aforementioned analyses, the necessity of development on the creteria of alert levels is discussed for the earthquake disaster response of cable-supported bridges.

• Korean Journal of Remote Sensing
• /
• v.37 no.3
• /
• pp.649-655
• /
• 2021

This study purposes to cross-validate its performance by applying the optimal seismic vulnerability assessment model based on previous studies conducted in Gyeongju to other regions. The test area was Pohang City, the occurrence site for the 2017 Pohang Earthquake, and the dataset was built the same influencing factors and earthquake-damaged buildings as in the previous studies. The validation dataset was built via random sampling, and the prediction accuracy was derived by applying it to a model based on a random forest (RF) of Gyeongju. The accuracy of the model success and prediction in Gyeongju was 100% and 94.9%, respectively, and as a result of confirming the prediction accuracy by applying the Pohang validation dataset, it appeared as 70.4%.