During decommissioning of a nuclear power plant, a large amount of radioactive waste is produced, and it is known to cost more than 300 billion won to dispose the waste. To reduce the disposal cost, it is essential to minimize the number of radioactive waste drums, which can be achieved by detecting and removing hotspot contaminations in the radioactive waste drums. Therefore, a Compton CT system for radioactive waste monitoring is under development, which provides the images of both the internal structure of the drum and the radioactive hotspot(s) in the drum. Based on the acquired information, the activity of hotspots can be estimated. The performance of the system is affected by various geometry factors. Therefore, it is essential to determine optimal configuration by evaluating the effects of the factors on the performance of the system. In the present study, we determined the optimum value of the factors and then predicted the performance of the optimized system by using a simulator based on the Geant4 Monte Carlo simulation. For optimization, the factors were evaluated in terms of structural similarity index measure (SSIM) and measurement time. The considered factors were the activity of the CT source, source to object distance (SOD), object to detector distance (ODD), and projection angle. The simulation result showed that the activities of the CT sources were determined as 23 mCi for 137Cs and 9.6 mCi for 60Co. The optimal SOD and ODD were 180 cm and 40 cm, respectively. The optimal projection angle was evaluated as 4° since it achieves the SSIM of 0.95 faster than other projection angles. With the optimized parameters, the performance of the system was evaluated using the IAEA gamma CT standard phantom containing a hotspot of 137Cs (7.02 μCi). The Compton image was reconstructed using the back-projection algorithm, and the CT image was reconstructed using the filtered back-projection algorithm. The result showed that the location of the hotspot in the Compton image was well identified at the true position. The acquired CT image also well represented the internal structure of the phantom, and the estimated mean linear attenuation coefficient value (μ= 0.0789 cm−1) of the phantom was close to the true value (μ= 0.0752 cm−1). In addition, the hotspot activity estimated by combining the information of the Compton image and CT image was 8.06 μCi. Hence, it was found that the Compton CT system provides essential information for radioactive waste drums.

우이산호와 같이 특수 해양시설물인 유류터미널과 선박 간의 해양사고는 대규모 해양오염 발생으로 이어져 해당 기업에 심각한 손실을 끼치며 대형 환경오염을 수반한다. 본 연구는 대상선박을 실시간 모니터링하고 사고위험을 사전에 식별하여 항만시설물을 포함한 단계별 비상 대응이 가능한 유류부두 안전관리 종합정보시스템 개발을 제안한다. 해당 시스템은 선체, 선박운항자 및 유류터미널 시설물까지 유기적으로 통합된 능동적인 안전감시시스템으로 해상교통 모니터링과..

Climate change is not only abnormal condition of climate systems but also the perplexities of socio-economic system including agriculture, ocean, energy supply plans and ecosystem. As the frequency and magnitude of the extreme weather related natural disasters are increasing, the losses of lives and economic damages are getting huge. For the adequate response of climate change, more comprehensive reviews of research results about observation, projection and monitoring of climate change are essential. The purpose of this study is to frame, to structure and to prepare writing strategies the 2nd Korea Climate Change Assessment Report(the Physical Science Basis). ‘Korea Climate Change Assessment Report 2010’ was prepared using 1,003 references by 46 climate change scientists with seven chapters and 328 pages. Ten chapters and more detailed sections for the 2nd Korea Climate Change Assessment Report have been suggested based on IPCC 5th Climate Change Assessment Report. Chapters cannot be changed while sections can be combined, deleted, and altered with admissions from consultation committees. Committees consist of climate change experts from government organization, universities and institution.

기후변화 등으로 인해 우리나라를 비롯한 전 세계적으로 물관련 재해 빈도는 지속적으로 증가하고 있으며, 경제발전에 따라 관련 피해 규모도 기하급수적으로 커지고 있는 실정이다. 따라서, 물관련 재해에 대한 국가적 대응 체계 구축 뿐만 아니라 재해예측 정확도를 향상시키기 위한 다양한 노력이 필요하다. 아울러, 정부 3.0 시대를 맞이하여 국가가 수재해 관련 정보를 국민들이 실시간으로 쉽고 간편하게 이용할 수 있도록 하는 정보제공 체계 구축이 필요한 시점이다. 이를 위해서는 국토교통부 및 기상청 등 다양한 정부부처에서 획득되는 자료 뿐만 아니라 미국 등 선진국에서 제공하고 있는 다양한 위성영상을 통합하고 종합적으로 분석할 수 있는 국가적 시스템 구축이 요구된다. 이를 통해 동남아 및 아프리카 등 저개발 국가의 물관련 재해 예측 및 전지구적 차원의 기후변화 대응 노력에 동참함으로써 선진국으로서의 책임과 위상 강화는 물론 글로벌 물산업 진출을 위해 필요한 핵심 정보들을 전략적으로 획득할 수 있는 체계가 마련될 수 있다. 이에 본 연구에서는 국내외에서 현재 운용 중에 있는 위성영상, 레이더 강우, 자동기상관측소 등에서 획득되는 다양한 물관련 정보들을 융합해 국지 혹은 광역적인 지역에 대한 가뭄이나 하천건천화, 홍수 등과 같은 수재해를 과학적이고 효율적으로 감시, 평가 및 예측하기 위해 필요한 기술들을 제시하고자 한다.