• 지구물리와물리탐사
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• 제20권3호
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• pp.185-192
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• 2017

2016년 9월 12일 규모 5.8의 본진을 포함한 일련의 지진들이 경주에서 발생했다. 본진은 1905년 한반도에서 지진관측을 시작한 이래 반도 남부에서 발생한 최대의 지진으로서 양산단층이 명백한 활성단층임을 입증하였다. 콘래드 불연속면이 없는 단층의 한반도 지각 모델에 의한 경주지진들의 전진, 본진, 여진들의 평균깊이는 12.9 km로 콘래드 불연속면이 있는 2층 구조의 IASP91 모델에 의한 평균깊이보다 2.8 km 낮다. 경주지역에서 발생한 역사지진 및 계기지진들의 진앙분포는 주 단층인 양산단층과 부속 단층을 포함하는 양산단층계가 광범위한 파쇄대임을 시사한다. 규모 5.8의 경주지진에 수반한 지진들의 진앙분포는 양산단층계의 몇 단층들이 응력에너지의 방출에 관여하였음을 지시한다. 경주지진들의 주요 지진들이 지표가 아닌 10 km 이하에서 발생한 것은 양산단층계의 심부 활성단층들의 분포를 연구할 필요성을 제기한다. 경주지역의 지진자료에 근거하여 추정한 이 일대의 최대지진의 규모는 7.3이다. 한반도의 가장 완전한 1978년 이후의 지진자료를 이용하여 추정한 경주지역의 규모 5.0, 6.0, 7.0을 초과하는 지진들의 재현간격은 각기 80년, 670년, 그리고 5,900년이다. 2016년 9월 경주지진들은 본질적으로 판내부지진활동의 범주에 속하며 2011년 3월 11일 일본해구에서 발생한 판경계지진횔동인 동일본대지진과는 무관하다.

• 한국해안·해양공학회논문집
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• 제21권5호
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• pp.419-425
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• 2009

최근 우리나라에서는 지진으로 인한 피해가 미미하였지만, 역사기록에 의하면 피해유발 지진이 여러 차례 발생한 바 있으므로 지진으로 인한 피해 가능성을 항상 고려하여야 한다. 우리나라 대외 교역량의 99.6% 이상을 처리하는 항만시설의 중요성을 감안 할 때, 항만시설물의 지진 안전성 확보를 위한 설계 및 대응시스템 구축이 반드시 필요하다. 지진위험성 평가를 위하여 계기 지진 자료를 활용하는 것이 바람직하지만, 우리나라에서 본격적인 계기지진의 역사가 과거 30년에 국한된 관계로 계기지진 자료만으로는 우리나라의 지진 특성을 적절히 파악할 수 없다. 본 연구에서는 이러한 단점을 보완하기 위하여 규모 5.0 이상의 역사지진 자료를 계기지진 자료와 함께 활용하여 장기 광역 지진위험성 평가의 자료로 활용하였다. 역사지진자료 분석 결과에 의하면 포항항, 울산항, 인천항이, 계기지진자료 분석 결과에 의하면 옥계항, 묵호항, 동해항, 삼척항, 포항항, 울산항을 포함한 동해안의 항이 다른 지역에 비하여 지진위험성이 크게 나타난다.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 1999년도 추계 학술발표회 논문집 Proceedings of EESK Conference-Fall
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• pp.64-71
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• 1999

Seismicity of the Korean Peninsula shows intraplate seismicity that has irregular pattern in both time and space. Seismic data of the Korean peninsula consists of historical earthquakes and instrumental earthquakes. In this study we devide these data into complete part and incomplete part and considering earthquake size uncertainty estimate seismic hazard parameters - activity rate λ, b value of Gutenberg-Richter relation and maximum possible earthquake IMAX by statistical method in each major tectonic provinces. These estimated values are expected to be important input parameters in probabilistic seismic hazard analysis and evaluation of design earthquake.

• 지질공학
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• 제5권3호
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• pp.309-329
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• 1995

역사지진 카탈로그 즉, 1960년대 전과 이후 1995년까지의 지진관측을 이용하여 한반도의 지진활동과 응력상태가 연구되었다. 이씨왕조의 처음 1400-1600년대의 200년동안 역사지진 카탈로그는 크게 완성되었다. 그후부터 카탈로그는 거의 강진만 완성하는데 주력했다. 강진분포를 볼때 한반도 지진대는 서울-평양 지진대, 남부지진대, 그리고 북부지진대로 나눌 수 있다. 이들 강진의 초동 메카니즘은 그리드 테스팅 방법(grid testing method)에 의해서 재분석되었다. 지진메카니즘 결과는 압축방향이 동서방향을 따라서 수평으로 놓여 있음을 발견했다.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 1997년도 춘계 학술발표회 논문집 Proceedings of EESK Conference-Fall 1997
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• pp.94-97
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• 1997

The December 13, 1996 Yeongweol earthquake of magnitude 4.5 was felt almost everywhere in southern part of the Korean Peninsula and Cheju Island, even though not feld in Tsushima Island at other places in Japan near to Korea. Production lines of semiconductor disk in electronic engineering companies of Gumi manufacturing complex were seriously affected by the shake of this earthquake. Total 17 earthquakes of magnitude 4 or above occurred within the area of 50km radius from Yeongweol in the period from the year 1400 to 1996. This group of earthquakes includes 12 events of magnitude 5.0 or above and 3 events of magnitude 6.0 or above. Among these events, 13 earthquakes are historical events of years 1400-1904. Most of them occurred in 15-16 centuries. The February 21, 1596 Jungseon-Pyeongchang event of magnitude 6.5 is the largest one up to now in the area. There are four instrumental earthquakes (years 1905-1996) of magnitude 4.0 or above in this area. An earthquake of magnitude 4.4 occurred on 5th of November, 1919 at almost the same place as the December 13, 1996 earthquake of magnitude 4.5. Thus this event is preceded with the previous one by 77 years.

• Earthquakes and Structures
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• 제20권3호
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• pp.337-351
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• 2021

On September 12, 2016, the Gyeongju earthquake occurred in the south-eastern region of the Korean peninsula. The event was ranked as the largest magnitude earthquake (=5.8) since instrumental recording was started by the Korean Metrological Administration (KMA) in 1978. The objective of this study is to provide information obtained from the 2016 Gyeongju earthquake and to propose a procedure estimating seismic risk of a typical old RC building for past and potential earthquakes. Ground motions are simulated using the point source model at 4941 grid locations in the Korean peninsula that resulted from the Gyeongju earthquake and from potential future earthquakes with the same hypocenter considering different soil conditions. Nonlinear response history analyses are conducted for each grid location using a three-story gravity-designed reinforced concrete (RC) frame that most closely represents conventional old school and public buildings. Then, contour maps are constructed to present the seismic risk associated with this building for the Gyeongju earthquake and potential future scenario earthquakes. These contour maps can be useful in the development of a mitigation plan for potential earthquake damage to school and public buildings at all grid locations on the Korean peninsula.

• Earthquakes and Structures
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• 제25권3호
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• pp.209-221
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• 2023

The Mw=7.7 (Pazarcık-Kahramanmaraş) and Mw=7.6 (Elbistan-Kahramanmaraş) earthquakes that occurred in Türkiye on 06.02.2023 with 9 hours' intervals, caused great losses of life and property as the biggest catastrophe in the instrumental period. The earthquakes affecting an area of 14% of the country were enormous and caused a great deal of loss of life and damage. Numerous buildings have collapsed or damaged at different levels, both in the city centers and in rural areas. Within the scope of this study, masonry structure damage built from different types of materials in the earthquake region was taken into consideration. In this study, the damage and causes of such masonry structures that do not generally receive engineering services were examined and explained in detail. Insufficient interlocking between wall-wall and wall-roof, inadequate masonry, lack of horizontal and vertical bond beams, usage of low-strength materials, poor workmanship, and heavy earthen roof are commonly caused to structural damages. Separation at the corner point and out-of-plane mechanism in structural walls, and heavy earthen roof damages are common types of damage in masonry structures.

• Earthquakes and Structures
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• 제17권4호
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• pp.365-372
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• 2019

Post-earthquake crisis management is a key capability for a country to be able to recover after a major seismic event. Instrumental seismic data transmitted and processed in a very short time can contribute to better management of the emergency and can give insights on the earthquake's impact on a specific area. Romania is a country with a high seismic hazard, mostly due to the Vrancea intermediate-depth earthquakes. The elastic acceleration response spectrum of a seismic motion provides important information on the level of maximum acceleration the buildings were subjected to. Based on new data analysis and knowledge advancements, the acceleration elastic response spectrum for horizontal ground components recommended by the Romanian seismic codes has been evolving over the last six decades. This study aims to propose a framework for post-earthquake warning based on code spectrum exceedances. A comprehensive background analysis was undertaken using strong motion data from previous earthquakes corroborated with observational damage, to prove the method's applicability. Moreover, a case-study for two densely populated Romanian cities (Focsani and Bucharest) is presented, using data from a $5.5M_W$ earthquake (October 28, 2018) and considering the evolution of the three generations of code-based spectral levels for the two cities. Data recorded in free-field and in buildings were analyzed and has confirmed that no structural damage occurred within the two cities. For future strong seismic events, this tool can provide useful information on the effect of the earthquake on structures in the most exposed areas.

• Communications for Statistical Applications and Methods
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• 제8권2호
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• pp.499-505
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• 2001

Kim and Baek (2000) tested the spatial randomness for he earthquake occurrence in the Korean Peninsula by using the nearest-neighbor test statistics and empirical distribution functions. The K-function, however, has obvious advantages over the methods used in Kim and Baek (2000), such as it does not depend on the shape of the study region and is an effective summary of spatial dependence over a wide range of scales. We applied the K-function method for testing the randomness to both of the historical and the instrumental seismicity data. It was found that he earthquake occurrences for historical and instrumental seismicity data are not random and clustered rather than scattered.

• 한국지진공학회논문집
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• 제22권6호
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• pp.323-332
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• 2018

Recent two moderate earthquakes (2016 $M_w=5.4$ Gyeongju and 2017 $M_w=5.5$ Pohang) in Korea provided the unique chance of developing a set of relations to estimate instrumental seismic intensity in Korea by augmenting the time-history data from MMI seismic intensity regions above V to the insufficient data previously accumulated from the MMI regions limited up to IV. The MMI intensity regions of V and VI was identified by delineating the epicentral distance from the reference intensity statistics in distance derived by using the integrated MMI data obtained by combining the intensity survey results of KMA (Korea Meteorological Administration) and 'DYFI (Did You Feel It)' MMIs of USGS. The time-histories of the seismic stations from the MMI intensity regions above V were then preprocessed by applying the previously developed site-correction filters to be converted to a site-equivalent condition in a manner consistent with the previous study. The average values of the ground-motion parameters for the three ground motion parameters of PGA, PGV and BSPGA (Bracketed Summation of PGA per second for 30 seconds) were calculated for the MMI=V and VI and used to generate the dataset of the average values of the ground-motion parameters for the individual MMIs from I to VI. Based on this dataset, the linear regression analysis resulted in the following relations with proposed valid ranges of MMI. $MMI=2.36{\times}log_{10}(PGA(gal))+1.44$ ($I{\leq}MMI$$MMI=2.44{\times}log_{10}(PGV(kine))+4.86$ ($I{\leq}MMI$$MMI=2.59{\times}log_{10}(BSPGA(gal{\cdot}sec))-1.02$ ($I{\leq}MMI$