• 한국지반공학회논문집
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• 제18권3호
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• pp.51-59
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• 2002

이 논문에서는 터널막장 주변지반의 3차원적 지반거동을 고려한 인접건물의 손상위험도 평가시스템 개발에 관한 내용을 다루었다 이 시스템은 크게 건물 및 지반정보 모듈, 계측데이터 모듈, 침하평가모듈 및 건물 손상평가모듈로 구성되어 있다. 지반 침하평가 및 건물 손상평가 모듈은 이 시스템의 핵심 모듈로서 Attewell 등(1982)이 제안한 침하평가 모형을 토대로 터널시공으로 인한 침하량 및 범위를 정량적으로 평가한 후, 터널노선에 인접한 건물의 손상위험도를 Mair 등(1996)이 제시한 건물손상 평가방법을 근거로 평가한다. 터널굴착으로 인한 지반거동 평가에서 가장 큰 영향인자인 지반손실률($V_{s}$)또는 최대침하량($w_{max}$)및 변곡점(i)의 위치는 계측자료, 수치 해석 결과 그리고 각종 경험식을 사용하여 자동적으로 계산되도록 구축하였다. 한편, 건물 손상평가는 터널막장의 위치를 변화시키며 임의 구간의 인접건물에 대한 손상위험도 평가가 수행될 수 있는 기능을 부여하였다. 개발된 시스템 검증은 Boscardin과 Cording(1989)이 워싱턴 DC의 매트로 터널에 인접한 2층 조적식 건물의 계측사례를 적용하여 수행하였다.

• 한국항해항만학회지
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• 제35권9호
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• pp.729-733
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• 2011

The maritime risk assessment is important not only to evaluate the safety level of the ports and waterways but also to reduce potential maritime accidents at sea in terms of the proactive measures of the maritime accidents. In this paper, the collision risk assessment in Mokpo waterways has been carried out based on the IALA recommended model, IWRAP. To evaluate the accident probabilities in Mokpo waterways, all data of vessels were collected from AIS and Radar observations data and the computer simulations were carried out. To assess the risk on the traffic, the scenario-base approach has been applied to the Mokpo waterway by using the maritime accident statics over the past 5 years.

• Water Engineering Research
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• 제3권4호
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• pp.215-234
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• 2002

Uncertainty in dam breach flood routing results was analyzed in order to provide the basis fer the investigation of their effects on the flood damage assessments and dam safety risk assessments. The Monte Carlo simulation based on Latin Hypercube Sampling technique was used to generate random values for two uncertain input parameters (i.e., dam breach parameters and Manning's n roughness coefficients) of a dam breach flood routing analysis model. The flood routing results without considering the uncertainty in two input parameters were compared with those with considering the uncertainty. This paper showed that dam breach flood routing results heavily depend on the two uncertain input parameters. This study indicated that the flood damage assessments in the downstream areas can be critical if uncertainty in dam breach flood routing results are considered in a reasonable manner.

• 산업기술연구
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• 제33권A호
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• pp.3-8
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• 2013

Reduction of risk plays a pivotal role in the development of medical instruments. A hyperbaric oxygen chamber, as a medical device, is known to help medical therapy for diversity of diseases through provision of high purity oxygen. The use of hyperbaric oxygen is expected to increase in the future and study to rigorously examine reliability and safety is needed. We have performed risk assessment for a newly developed hyperbaric oxygen chamber in this study. We first briefly discussed the system structure and concept of risk assessment for the study. Based on the hazards identified, we performed preliminary hazard analysis for the chamber.

• 한국지능시스템학회논문지
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• 제22권3호
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• pp.373-378
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• 2012

해상에서 위험성평가는 해양사고예방의 관점에서 안전한 항만수로를 설계하는데 중요한 역할을 하고 있다. 본 연구는 IALA에서 권고하는 정량적인 충돌확률분석방법인 IWRAP(IALA Waterway Risk Assessment)에 기초를 두고 목포항 진입수로의 충돌위험성을 분석하였다. 과거 AIS 및 레이더의 기록 데이터를 IWRAP 평가도구에 적용함으로써 선박의 조우상태별 충돌위험 확률을 계산하였다. 항로의 구간별로 위험도를 제공함으로써, VTS에서 섹터 관제의 관점에서 항로구간별로 해상교통의 특징과 개선책을 세우는데 기여할 것으로 사료된다.

• 한국안전학회지
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• 제29권1호
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• pp.64-69
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• 2014

Community-based disaster preparedness approaches are increasingly important elements of vulnerability reduction and disaster strategies. They are associated with a policy trend that values the knowledge and capacities of local people. In this research, we describe the community diagnosis method and develop Flood Disaster Risk Reduction Index(FDRRI) for assessment of flood vulnerability. FDRRI is composed of four indicators such as Flood Exposure Indicator(FEI), Sensitivity Indicator(SI), Risk Reduction Indicator(RRI), and Community Preparedness Indicator(CPI). We anticipate to present the guideline for selection national preparedness projects and uplift community's preparedness capacity.

• 한국자원식물학회지
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• 제34권6호
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• pp.616-632
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• 2021

We performed taxonomic reviews and habitat circumstances survey for 41 un-introduced environmentally harmful plants (as designated by the Ministry of Environment, Korea in 2016). And we investigated plant specimens from several herbaria and performed a field survey in the southeastern region of the United States. Based on the result, we presented the most comprehensive results of weed risk evaluation and taxonomic description up to now as well as classification keys for 11 species to apply the regulation management of putative invasive alien species - Senecio madagascariensis Poir., Sphagneticola trilobata (L.) Pruski, Ageratina riparia (Regel) R.M. King & H. Rob. (Asteraceae), Andropogon gayanus Kunth (Poaceae), Echinocystis lobata (Michx.) Torr. & A. Gray (Cucurbitaceae), Salvinia minima Baker (Salviniaceae), Vincetoxicum rossicum (Kleopow) Barbar. (Asclepiadaceae), Asparagus asparagoides (L.) Druce (Asparagaceae), Alternanthera pungens Kunth (Amaranthaceae), Salpichroa origanifolia (Lam.) Thell., and Lycium ferocissimum Miers (Solanaceae).

• Smart Structures and Systems
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• 제26권2호
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• pp.175-184
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• 2020

Conventional Monte Carlo simulation-based methods for seismic risk assessment of water networks often require excessive computational time costs due to the hydraulic analysis. In this study, an Artificial Neural Network-based surrogate model was proposed to efficiently evaluate the flow-based system reliability of water distribution networks. The surrogate model was constructed with appropriate training parameters through trial-and-error procedures. Furthermore, a deep neural network with hidden layers and neurons was composed for the high-dimensional network. For network training, the input of the neural network was defined as the damage states of the k-dimensional network facilities, and the output was defined as the network system performance. To generate training data, random sampling was performed between earthquake magnitudes of 5.0 and 7.5, and hydraulic analyses were conducted to evaluate network performance. For a hydraulic simulation, EPANET-based MATLAB code was developed, and a pressure-driven analysis approach was adopted to represent an unsteady-state network. To demonstrate the constructed surrogate model, the actual water distribution network of A-city, South Korea, was adopted, and the network map was reconstructed from the geographic information system data. The surrogate model was able to predict network performance within a 3% relative error at trained epicenters in drastically reduced time. In addition, the accuracy of the surrogate model was estimated to within 3% relative error (5% for network performance lower than 0.2) at different epicenters to verify the robustness of the epicenter location. Therefore, it is concluded that ANN-based surrogate model can be utilized as an alternative model for efficient seismic risk assessment to within 5% of relative error.

• 한국환경농학회지
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• 제32권4호
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• pp.245-251
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• 2013

BACKGROUND: The objectives of this study are to investigate the contamination levels of heavy metals in soil, ground water, and agricultural product near the abandoned Boeun and Sanggok mine areas in Korea and to assess the health risk for these local residents exposed to the toxic heavy metals based on analytical data. METHODS AND RESULTS: By the results of human health risk assessment for local residents around Boeun and Sanggok, human exposure to cadmium, copper, arsenic from soil and to lead, cadmium, and arsenic from rice grain were higher in Sanggok, but human exposure to zinc and arsenic from ground water was higher in Boeun. By the results of hazard index (HI) evaluation for arsenic, cadmium, copper, lead, and zinc, HI values in both areas were higher than 1.0. This result indicated that the toxicity hazard through the continuous exposure to lead, cadmium, arsenic from rice, ground water, and soil would be likely to occur to the residents in the areas. Cancer risk assessment for arsenic, risks from the rice were exposed to one to two out of 10,000 people in Boeun and one of 1,000 people in Sanggok. These results showed that the cancer risks of arsenic in both areas were 10~100 times greater than the acceptable cancer risk range of US EPA ($1{\times}10^{-6}{\sim}1{\times}10^{-5}$). CONCLUSION(S): Therefore, if these two local residents consume continuously with arsenic contaminated soil, ground water, and rice, the adverse health effects (carcinogenic potential) would be more increased.

• 한국해양바이오학회지
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• 제11권2호
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• pp.52-61
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• 2019

Over the past few decades, microalgae-based biotechnology conjugated with innovative CRISPR/Cas9-mediated genetic engineering has been attracted much attention for the cost-effective and eco-friendly value-added compounds production. However, the discharge of reproducible living modified organism (LMO) into environmental condition potentially causes serious problem in aquatic environment, and thus it is essential to assess potential environmental risk for human health. Accordingly, in this study, we monitored discharged genetically modified microalgae (GMM) near the research complex which is located in Daejeon, South Korea. After testing samples obtained from 6 points of near streams, several green-colored microalgal colonies were detected under hygromicin-containing agar plate. By identification of selection marker genes, the GMM was not detected from all the samples. For the lab-scale environmental risk assessment of GMM, acute toxicity test using rotifer Brachionus calcyflorus was performed by feeding GMM. After feeding, there was no significant difference in mortality between WT and transformant Chlamydomonas reinhardtii. According to further analysis of horizontal transfer of green fluorescence protein (GFP)-coding gene after 24 h of incubation in synthetic freshwater, we concluded that the GFP-expressed gene not transferred into predator. However, further risk assessments and construction of standard methods including prolonged toxicity test are required for the accurate ecological risk assessment.