PURPOSES : This study analyzes the accident damage scale of hazardous material transportation vehicles not monitored in real time by the Hazardous Material Transportation Safety (HMTS) management center. METHODS : To simulate hazardous-material transportation vehicle accidents, a preliminary analysis of transportation vehicle registration status was conducted. Simulation analyses were conducted for hazardous substance and flammable gas transportation vehicles with a high proportion of small- and medium-sized vehicles. To perform a spill accident damage-scale simulation of hazardous-substance transportation vehicles, the fluid analysis software ANSYS Fluent was used. Additionally, to analyze explosion accidents in combustible gas transportation vehicles, the risk assessment software Phast and Aloha were utilized. RESULT : Simulation analysis of hazardous material transportation vehicles revealed varying damage scales based on vehicle capacity. Simulation analysis of spillage accidents showed that the first arrival time at the side gutter was similar for various vehicle capacities. However, the results of the cumulative pollution analysis based on vehicle capacity exhibited some differences. In addition, the simulation analysis of the explosion overpressure and radiant heat intensity of the combustible gas transportation vehicle showed that the difference in the danger radius owing to the difference in vehicle capacity was insignificant. CONCLUSIONS : The simulation analysis of hazardous-material transportation vehicles indicated that accidents involving small- and medium-sized transportation vehicles could result in substantial damage to humans and ecosystems. For safety management of these small and medium-sized hazardous material transportation vehicles, it is expected that damage can be minimized with the help of rapid accident response through real-time vehicle control operated by the existing HMTS management center.

In this study, a fluorescent silica nano particle is used as the surrogate for challenging test of membrane surface integrity. The particles are functionalized by a fluorescent dying agent so that as an ultraviolet light is imposed a bright fluorescent image from the particles can be taken. If a membrane surface is damaged and has a compromised part larger than the size of surrogate the fluorescent particles would pass through and contained in the permeate. An operator can directly notice whether the membrane surface is damaged or not by detecting a fluorescent image taken from the permeate. Additionally, the size of compromised part is estimated through analysing the fluorescent image in which we surmise the mass of particles included in the permeate by calculating an average RGB value of the image. The pilot scale experiments showed that this method could be applied successfully to determine if a membrane surface had a damaged parts regardless of the test condition. In the testing on the actual damaged area of 4.712 mm2, the lowest error of estimating the damaged area was –1.32% with the surrogate concentration of 80 mg/L, flux of 40 L/m2/hr for 25 minutes of detection. A further study is still going on to increase the lowest detection limit and thus decrease the error of estimation.

솔껍질깍지벌레의 발생 상황은 피해만연지대(남서해안 및 도서지역), 피해확대지역(해안지역에서 내륙지대로, 해안에 연하여 북상)으로 구분되었다. 남부해안지대에 곰솔을 집중적으로 가해하는 솔껍질깍지벌레는 Matsucoccus thunbergianae로 조사되었으며 연 1회 발생하며 발생시기는 3월 초순~5월 초순에 걸쳐 소나무껍질밑으로부터 교미산란하기 위하여 외부로 출현하였으며 그 peak는 3월 하순~4월 중순이었다. 기주식물의 기주범위조사에서 곰솔(Pinus thunbergii)외에 스트로브잣나무(Pinus strobus), 테어데소나무(Pinus taeda), 방크스소나무(Pinus banksiana), 맛소니아소나무(Pinus massoniana), 타이완네시스소나무(Pinus taiwannesis), 소나무(Pinus densiflora)등 7종이 구명되었다. 피해목의 수령별 피해율은 1~3년생 0.8%, 4~6년생 3.7%, 7~9년생 5.2%, 10~12년생 9.3%, 13~15년생 8.1%, 16~18년생 7.8%, 19~21년생 6.7%, 22~24년생 3.3%, 25~27년생 1.9%, 28년생이상 1.1%로 7년생에서 20년생까지의 수령에서 피해율이 가장 높았고 피해목 가지의 수령별 피해율은 6~7년생가지에서 가장 높았으며 수간에서는 중간부위의 가지가 생존하는 하단부로부터 상위부로 피해가 진전되었다. 조사지대에서의 단순림/혼효림의 혼효도에 의해 피해율은 지역별 각각 고흥 : 81.3%/52.5%, 해남 : 80.3%/58.1%, 무안 : 76.3%/48.5%로 단순림에서 피해가 많았다. 입목밀도에 따른 피해율은 100당 20주이상의 밀도가 높아짐에 따라 피해율이 높았다.

In this study, we identified heavy rain damage and rainfall characteristics for each region, and proposed Hazard-Triggering rainfall according to heavy rain damage scale focused on Gyeonggi-do. We classified the damage scale into three groups (total damage, over 100 million won, over 1 billion won) to identify the characteristics of heavy rain damage, and we determined criteria of the rainfall class for each rainfall variable (maximum rainfalls for the durations of 1, 3, 6, 12 hours) to identify the rainfall characteristics. We calculated the cumulative probability of heavy rain damage based on the rain criteria mentioned above to establish the Hazard-Triggering rainfall according to the heavy rainfall damage scale. Using the results, we establish the Hazard-Triggering rainfall for each rain variable according to heavy rain damage. Finally, this study calculated the assessment indicator (F1-Score) for classification performance to test the performance of the Hazard-Triggering rainfall. As the results, the classification performance of the Hazard-Triggering rainfall which proposed in this study was 11%, 30%, 10% higher than the criteria by KMA (Korea Meteorological Administration).

최근 급격한 기후변화로 인한 국지성 집중호우가 빈번하게 발생하고 있다. 지역별 방재성능 목표 이상의 집중호우가 발생할 경우 댐, 저수지 등 수리 시설의 한계성능을 초과하여 월류 또는 붕괴를 야기한다. 본 연구에서는 저수지 붕괴로 인한 홍수유출을 모의하여 저수지 붕괴로 인한 피해 범위를 예측하고자 한다. 경기도 여주군 대신면에 위치하고 있는 옥촌저수지는 2013년 7월 22일 경기도 동부 지역에 발생한 집중호우로 제방이 전면 붕괴되어 하류 농경지 및 가옥의 침수 피해가 발생하였다. 홍수유량 산정을 위하여 저수지 내부의 정밀측량을 수행하였으며, 산정된 저수량을 기준으로 홍수유출을 시뮬레이션 하였다. 시뮬레이션 결과 저수지 붕괴로 인한 침수 피해 예상 지역은 저수지 하류140,000㎡이며 최대 침수심도는 4.5m로 분석되었다. 또한 실제 붕괴 현장조사 결과와 분석 결과를 비교하여 시뮬레이션의 신뢰도를 검증하였다.

This report analyzed the types of damage occurring in small scale safety vulnerable buildings inspected in 2012, by both structural types and elapsed time. The results of the analysis show that more than 70% of damage on finishing or usability by non-structural elements is recoverable for its intended performance. Facilities over 20 years from compleetion have more than a 30% structure damage ratio, than can be dangerous for structural safety, and requires periodic check-ups and repair/reinforcement work to recover its performance.

To predict the size of fire in the building, it was conducted a real fire experiment with a manufactured mock-up that had unit block size of 2.44 (L) × 3.6 (W) × 2.4 (H) m. The real fire testing was proceeded under scenario in which the fire starts from trash and is spread to all of real inflammable materials put beforehand inside the unit block such as bed, wardrobe and chest of drawers. As a experimental result, the fire grew rapidly about 120 seconds after the ignition, whose maximum heat release rate was 2658.9 kW.