This study is a preliminary investigation into a method for updating analytical models using actual vibration measurement data to improve the reliability of the seismic performance evaluations. The research was conducted on 26 models with various parameters, aiming to develop an optimal analytical model that closely matches the natural frequencies of the actual building. By identifying the dynamic characteristics of the target building through vibration measurements taken just before the demolition of the structure, the natural frequency analysis results of the analytical models were compared to the measured data. Based on this comparison, an optimized method for adjusting the parameters of the analytical models was derived. Throughout the analysis, various parameters were adjusted, and the eigenvalue analysis results were corrected by comparing them with vibration measurements. Among the comparative analytical models, the model with the lowest error rate was selected. The results showed that, in all cases, the analytical model with a concrete compressive strength of 16 MPa (based on actual measurements), pin boundary conditions, and an idealized strip footing cross-section had the closest match to the actual building's natural frequencies, with an average error of less than 8%.

Microclimate analysis was conducted through actual measurement according to land use status in urban, and CFD analysis was conducted to analyze and predict the microclimate characteristics of urban, and compared and analyzed with the actual measurement results. It was measured in high-rise areas and parks, and the temperature of the park area was 0.4 to 0.6℃ lower, and the relative humidity was 1.0 to 3.0% higher. The correlation coefficient was obtained by comparing the results of the computational fluid analysis with the results of the computational fluid analysis at the actual location located within the CFD analysis area for validation. The seasonal correlation coefficients are all higher than 0.8, so it is judged that they can be applied to microclimate analysis in urban area. The computational fluid analysis was divided into three areas (low-rise, low and high-rise, and high-rise) centered on the A2 point. On average, the low-rise area was 0.1 to 0.4% higher than the high-rise area. In the low and high-rise area and high-rise area, the pith of buildings are wide, so the airflow is smooth, so it is judged that the temperature is relatively low.

국내 대기오염물질 배출량 통계에 따르면 상당한 대기오염물질이 선박에 의해 발생하고 있다. 따라서 선박으로부터의 대기오 염물질 배출 제한과 항만지역 대기질 개선을 위해 다양한 정책들이 시행되고 있고, 국제적으로도 선박에 의한 해양오염 방지를 위해 국 제 협약 등이 이루어지고 있다. 하지만 실제 운항하는 선박에서 배출되는 대기오염물질 측정에 관한 연구와 실험은 거의 이루어지고 있 지 않아, 본 연구는 이동식배출가스측정장비(PEMS)를 사용하여 실제 운항하는 9,169톤급 선박에서 발생하는 대기오염물질 배출량 평가에 대한 방법과 가능성을 제시하였다. RPM과 부하에 따라 배출량의 차이가 있었으며, NOX 배출량은 497-2,060ppm, CO2는 1.55-6.9%, CO는 0.002-0.14% 수준이다. 엔진 제조사에서 제공하는 Shop Test에 명시된 배출량과 실제 측정된 배출량에 차이가 있음을 확인하였다. 대상선박 의 전 항해구간에서 발생하는 각 대기오염물질 최대 배출량이 PEMS 측정 구간에 포함되는 것을 확인하여, 총톤수 10,000톤급 이내 선박 에 PEMS 활용 가능성을 검증하였다.