본 연구에서는, 필댐 사력죤의 전단파속도 특성을 분석하고자 하였으며, 필댐 사력죤의 특성상 주로 표면에서 비파괴적으로 수행되는 표면파 탐사 기법을 적용하여 전단파속도를 도출 하였다. 대표적 표면파 기법인 SASW기법과 새롭게 개발된 HWAW 기법을 이용하여 6개댐 사력죤에서 시험을 통해 심도별 전단파속도와 구속압에 따른 전단파속도를 산정하고 그 결과를 기존에 많이 사용되었던 Sawada와 Takahashi의 결과와 비교 분석하였다.

표면파 탐사는 탄성파를 이용한 여러 가지 다른 탐사 방법과 비교하여 독특한 장점들을 가지고 있다. 그러나 이 방법은 최근에 개발되기 시작하여 아직 연구 결과가 많이 축적되지 않은 분야이다. 이 연구에서는 지반 공학적 성질이 서로 다를 것으로 예상되는 여러 지역에서 표면파 탐사자료를 획득하여 그 분산곡선의 특징을 찾아보았다. 또한 분산곡선을 역산하여 S파 속도구조를 구하여 이를 시추조사 결과와 비교하였다. 그 결과 퇴적물상이나 암석상의 변화가 S파속도의 급격한 변화와 관련되어 있음을 확인하였다. 이것은 표면파 탐사법을 이용하여 퇴적물이나 암석의 물리적 성질이 급격하게 변화하는 경계면을 구별할 수 있는 가능성을 시사한다.

In this study, non-destructive methods were applied to detect cavities behind face-slab of concrete-faced rockfill dam (CFRD). This study reviewed the effectiveness of the field IE, MASW, MIRA shear wave tomography and GPR findings. IR techniques also reviewed as an additional method of exploration to reinforce the proposed methods of exploration. Among previous methods, IE exploration was concluded most appropriate as an efficient way to detect cavity of the CFRD. Nevertheless, additional reinforcement investigation is required because the result of a single exploration is difficult to reduce the uncertainty.

In order to understand the relation between the distribution of sea surface temperature and heavy snowfall over western coast of the Korean peninsula, several numerical assessments were carried out. Numerical model used in this study is WRF, and sea surface temperature data were FNL(National Center for Environment Prediction-Final operational global analysis), RTG(Real Time Global analysis), and OSTIA(Operational Sea Surface Temperature and Sea Ice Analysis). There were produced on the basis of remote sensing data, such as a variety of satellite and in situ observation. The analysis focused on the heavy snowfall over Honam districts for 2 days from 29 December 2010. In comparison with RTG and OSTIA SST data, sensible and latent heat fluexes estimated by numerical simulation with FNL data were higher than those with RTG and OSTIA SST data, due to higher sea surface temperature of FNL. General distribution of RTG and OSTIA SST showed similar, however, fine spatial differences appear in near western coast of the peninsula. Estimated snow fall amount with OSTIA SST was occurred far from the western coast because of higher SST over sea far from coast than that near coast. On the other hand, snowfall amount near coast is larger than that over distance sea in simulation with RTG SST. The difference of snowfall amount between numerical assessment with RTG and OSTIA is induced from the fine difference of SST spatial distributions over the Yellow sea. So, the prediction accuracy of snowfall amount is strongly associated with the SST distribution not only over near coast but also over far from the western coast of the Korean peninsula.