We performed seismic noise level analysis to access the proper functioning of 11 newly established seismic stations in the southeastern region of Korea. One-hour long segments of seismograms were selected from the continuous data of the 3 elements for 61 days from March 1, 2019. For each segment of data, the power spectral density (PSD) was estimated from the continuous back ground noise data of the 3 elements for periods ranging from 0.02~100 s. The median noise levels (NLs) of the stations were compared with the new noise model (NNM) of USGS and NLs of station TJN installed in a tunnel on a granite basement. We observed that the NLs of the newly installed seismometers were between the upper and lower limit of the NNM. In a comparison with the noise level of station TJN, the new seismometers had their own noteworthy features. The NLs from accelerometers (Epi-sensors) were ~ 40 dB higher than the NLs from velocimeters (STS-sensors) for periods > 10 s, which is because the small and light Epi-sensors are sensitive to environmental changes. Daily and weekly variations in spectral noise level were observed clearly in short periods < 1 s, and these are considered to be related to human activities. The seismometers in boreholes showed ~20 dB weaker NLs in the cultural noise band. The NLs of accelerometers at a depth of 30 m were also much lower by 30 dB for long periods > 10 sec. Overall the functioning of the new velocimeter and accelerometer stations was reliable for periods ranging from 0.02~100 s and 0.02~10 s, respectively.

조선산업은 해양플랜트 산업으로 이행하며 미래의 성장동인으로 자리잡아가고 있다. 부산, 울산 등 동남권에서는 해양플랜트 산업이 비교적 활발히 논의되고 그 기반 구축에도 상당한 진전을 보이고 있으나 서남권에서는 이러한 논의가 거의 전무한 실정이다. 따라서 본고에서는 광양을 중심으로 목포에 이르는 서남권 지역에 새로운 성장동인으로서 해양플랜트 산업기반 조성에 관해 제언해 보기로 한다.

본 논문은 동남권역(부산, 울산, 경남) 제조업의 기업패널데이터(2000~06)를 사용하여 「4＋9 시·도 지역산업진흥사업」 가운데 정부의 기술개발과제 지원이 참여기업의 고용 및 경영 성과에 미치는 효과를 분석한다. 기술개발과제 참여의 순효과(ATT)를 선택편의 없이 추정하기 위해 성향점수짝짓기(PSM) 방법을 적용한다. 추정결과에 따르면, 동남권 지역산업진흥사업의 기술개발과제는 과제유형별로 정도의 차이는 있지만 과제종료 이후 수년에 걸쳐 참여기업의 고용과 R&D에 대체로 유의미한 정(+)의 효과를 미치는 것으로 나타났다.

In case of Typhoon Dianmu, the temperature, wind speed, wind direction and the rainfall per hour changed dramatically when the center of the typhoon passed through Gimhae. Such a change was commonly found in the regions where the center of the typhoon passed through but almost not in the regions far away from it. For example, in the case of Typhoon Malou where the center of the typhoon was far away from the observation site, such a phenomenon was not observed. The analysis of the vertical observation data showed that there was a little change in the wind speed and wind direction in the vertical direction in the case of Typhoon Dianmu of which center passed through Gimhae. There was a great change in the wind speed according to the height in the lower atmosphere just before the center of the typhoon approached the region. When the center of the typhoon was passing through the region, the vertical wind speed was decreased. However, the wind speed was rapidly increased again after the center of the typhoon had passed through the region. Unlike the Dianmu, the difference in the wind speed and wind direction between the upper layer and lower layer of the atmosphere was relatively great in the case of Malou.