• 한국안전학회지
• /
• 제30권2호
• /
• pp.83-89
• /
• 2015

In Korea for 20 years(1993-2012), total number and average annual number of oil spills were 6,608 cases and total volume and average annual volume of oils spilt were $57,328k{\ell}$ and nearly $2,866k{\ell}/year$, respectively. The annual number of oil spills and annual amount of oil spilt tended to decrease with the lapse of year in Korea. As oil transportation worldwide continues to increase, many communities are at risk of oil spill disasters and must anticipate and prepare for them. Factors that influence oil spill consequences are myriad and rage from the biophysical to the social. In this paper, we analysed the emergency response systems and recovery apparatuses for oil spill accident in marine and proposed a developed oil diffusion apparatus which can be used to initial response stage by crew, and to extend golden times. This system can be minimized casualties for rescued people in disaster.

• 한국해양공학회지
• /
• 제36권5호
• /
• pp.295-302
• /
• 2022

The initial response to a marine accident can play a key role to minimize the accident. Therefore, various decision support systems have been developed using sensors, simulations, and active response equipment. In this study, we developed an algorithm to predict damage locations using ship motion data with bidirectional long short-term memory (BiLSTM), a type of recurrent neural network. To reflect the low frequency ship motion characteristics, 200 time-series data collected for 100 s were considered as input values. Heave, roll, and pitch were used as features for the prediction model. The F1-score of the BiLSTM model was 0.92; this was an improvement over the F1-score of 0.90 of a prior model. Furthermore, 53 of 75 locations of damage had an F1-score above 0.90. The model predicted the damage location with high accuracy, allowing for a quick initial response even if the ship did not have flood sensors. The model can be used as input data with high accuracy for a real-time progressive flooding simulator on board.

• 시스템엔지니어링학술지
• /
• 제18권2호
• /
• pp.94-107
• /
• 2022

Accidents prevention and mitigation is the highest priority of nuclear power plant (NPP) operation, particularly in the aftermath of the Fukushima Daiichi accident, which has reignited public anxieties and skepticism regarding nuclear energy usage. To deal with accident scenarios more effectively, operators must have ample and precise information about key safety parameters as well as their future trajectories. This work investigates the potential of machine learning in forecasting NPP response in real-time to provide an additional validation method and help reduce human error, especially in accident situations where operators are under a lot of stress. First, a base-case SGTR simulation is carried out by the best-estimate code RELAP5/MOD3.4 to confirm the validity of the model against results reported in the APR1400 Design Control Document (DCD). Then, uncertainty quantification is performed by coupling RELAP5/MOD3.4 and the statistical tool DAKOTA to generate a large enough dataset for the construction and training of neural-based machine learning (ML) models, namely LSTM, GRU, and hybrid CNN-LSTM. Finally, the accuracy and reliability of these models in forecasting system response are tested by their performance on fresh data. To facilitate and oversee the process of developing the ML models, a Systems Engineering (SE) methodology is used to ensure that the work is consistently in line with the originating mission statement and that the findings obtained at each subsequent phase are valid.

• 수산해양교육연구
• /
• 제24권5호
• /
• pp.712-720
• /
• 2012

Recently, many problems related on shoreline response to spill oil were exposed again on a occasion of M/T Hebei spirit accident even though the weakness on the shoreline response system has been brought up since M/T Sea Prince oil spill accident. Therefore the establishment of shoreline response system that best suits our country is needed through considering the response system of well-developed country. The socioeconomic conflict between the persons concerned on the clean-up endpoints can be sharpened in Korea because the frequency of coastal use of our country is too high compared to other countries. Thus procedural justification, that is, how the clean-up endpoints be established is more important than what type of clean-up endpoints be used. In the present paper, we attempted to suggest a new manner on the decision making system for clean-up endpoints that best suits our country. The decision making system for clean-up endpoints need to be divided into two steps, that is, set-up step of clean-up endpoints criteria and decision step of clean-up endpoints. The decision making organization of local governments play a key role in case of set-up step of clean-up endpoints criteria, while the response command headquarters under Korean coast guard and decision making organization of local governments codecide whether the clean-up endpoints criteria is fits or not.

• 시스템엔지니어링학술지
• /
• 제18권2호
• /
• pp.75-93
• /
• 2022

Machine learning (ML) data-driven meta-model is proposed as a surrogate model to reduce the excessive computational cost of the physics-based model and facilitate the real-time prediction of a nuclear power plant's transient response. To forecast the transient response three machine learning (ML) meta-models based on recurrent neural networks (RNNs); specifically, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), and a sequence combination of Convolutional Neural Network (CNN) and LSTM are developed. The chosen accident scenario is a control element assembly withdrawal at power concurrent with the Loss Of Offsite Power (LOOP). The transient response was obtained using the best estimate thermal hydraulics code, MARS-KS, and cross-validated against the Design and control document (DCD). DAKOTA software is loosely coupled with MARS-KS code via a python interface to perform the Best Estimate Plus Uncertainty Quantification (BEPU) analysis and generate a time series database of the system response to train, test and validate the ML meta-models. Key uncertain parameters identified as required by the CASU methodology were propagated using the non-parametric Monte-Carlo (MC) random propagation and Latin Hypercube Sampling technique until a statistically significant database (181 samples) as required by Wilk's fifth order is achieved with 95% probability and 95% confidence level. The three ML RNN models were built and optimized with the help of the Talos tool and demonstrated excellent performance in forecasting the most probable NPP transient response. This research was guided by the Systems Engineering (SE) approach for the systematic and efficient planning and execution of the research.

• 한국응급구조학회지
• /
• 제28권1호
• /
• pp.7-19
• /
• 2024

Purpose: This study aimed to evaluate and assess the response capabilities and educational needs of 119 emergency medical technicians (EMTs) in chemical accidents. Methods: A self-reported questionnaire was completed by 167 119 EMTs between December 1st and December 31, 2023. The questionnaire comprised 8 questions on general characteristics, 2 on chemical accidents experienced by the participants, 29 on response capabilities, and 15 on educational needs. Data analysis was performed using t-tests, analysis of variance, Duncan's test for post-hoc analysis, and Pearson's correlation coefficient, using SPSS 27.0. Results: The participants scored 2.69 points on response capacity to chemical accidents. The EMT-Paramedics scored high in 'patient triage,' 'patient treatment,' 'patient transport,' and 'collaborative support' (F=3.924, p=.010; F=5.843, p=.001; F=3.698, p=.013; F=5.272, p=.002), followed by educational experience (t=-4.962, p<.001; t=-2.685, p=.008; t=-3.455, p=.001; t=-3.593, p<.001; t=-3.034, p=.003). The participants scored 4.19 points on educational needs, with high scores for 'patients treatment and transport' (4.280.93). The scores for 'patient triage competency', and 'patient triage' (r=.169, p=.024) correlated positively. Furthermore, the scores for 'patient treatment competency' and all sub-factors of educational needs (r=.185, p=.013; r=.215, p=.004; r=.199, p=.008; r=.190, p=.011; r=.197, p=.008) correlated positively. Conclusion: To strengthen the response capabilities of 119 EMTs, it is imperative to develop an educational program that focuses on first-aid responses.

• 한국재난관리표준학회지
• /
• 제3권2호
• /
• pp.27-32
• /
• 2010

자체방제계획서는 위험물질의 등급, 주위환경의 피해, 사고대응계획 등으로 구성된 체계적인 관리제도이다. 자체 방제계획서 작성지원 프로그램의 개발 목적은 사고를 예방하고, 사고를 제어할 수 있도록 안전관리 시스템을 각 시설에 제공하는 것이다. 이 프로그램은 MSDS(Material Safety Data Sheet), SOP(Standard Operation Procedure), ERP(Emergency Response Plan) 등 일반적인 안전관련 자료를 포함하고 있다. 자체방제계획서는 위험 확인, 평가, 예방 계획, 안전 분석 등으로 구성되어있다. 또한, 자체방제계획서 작성지원 프로그램은 정부 또는 관련 기관이 중소기업에서 발생 가능한 사고를 관리하는데 유용하다.

• 한국수소및신에너지학회논문집
• /
• 제35권1호
• /
• pp.66-74
• /
• 2024

This study addresses the escalating issue of worldwide hydrogen gas accidents, which has seen a significant increase in occurrences. To comprehensively evaluate the risks associated with hydrogen, a two approach was employed in this study. Firstly, a qualitative risk assessment was conducted using the bow-tie method. Secondly, a quantitative consequence analysis was carried out utilizing the areal locations of hazardous atmospheres (ALOHA) model. The study applied this method to two incidents, the hydrogen explosion accident occurred at the Muskingum River power plant in Ohio, USA, 2007 and the hydrogen storage tank explosion accident occurred at the K Technopark water electrolysis system in Korea, 2019. The results of the risk assessments revealed critical issues such as deterioration of gas pipe, human errors in incident response and the omission of important gas cleaning facility. By analyzing the cause of accidents and assessing risks quantitatively, the effective accident response plans are proposed and the effectiveness is evaluated by comparing the effective distance obtained by ALOHA simulation. Notably, the implementation of these measures led to a significant 54.5% reduction in the risk degree of potential explosions compared to the existing risk levels.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2007년도 춘계학술대회 논문집
• /
• pp.543-550
• /
• 2007

This study is for an effective response as the pre-stage for railway agencies to prepare the rail road kind based emergency response standard operation procedures when the emergency event occurs. Accordingly, I would like to increase the utility in helping the railroad employees to make their decisions. And that is possible through suggesting them to make computerized Emergency situation based activity and Emergency response that is individual based. And of course all of this procedure would be based on the emergency event categorized response scenario.

• 한국위험물학회지
• /
• 제2권1호
• /
• pp.18-26
• /
• 2014

We analyzed the demand of competent authorities requiring adequate technical information for initial investigation of chemical accidents. Reflecting technical reports on chemical accident response by environmental agencies in the U.S. and Canada, we presented information on environmental diffusion and toxic effects available for the first chemical accident response. Hydrogen fluoride may have the risk potential to corrode metals and cause serious burns and eye damages. In case of inhalation or intake, it could have severe health effects. The substance itself is inflammable, but once heated, it decomposes producing corrosive and toxic fume. In case of contact with water, it can produce toxic, corrosive, flammable or explosive gases and its solution, a strong acid, may react fiercely with a base. In case of hydrogen fluoride leak, the preventive measures are to decrease steam generation in exposed sites, prevent the transfer of vapor cloud and promptly respond using inflammable substances including calcium carbonate, sodium bicarbonate, ground limestone, dried soil, dry sand, vermiculite, fly ash and powder cement. The method for fire fighting is to suppress fire with manless hose stanchions or monitor nozzles by wearing the whole body protective clothing equipped with over-pressure self-contained breathing apparatus from distance. In case of transport accident accompanied with fire, evacuation distance is 1,600m radius. In cae of fire, fire suppression needs to be performed using dry chemicals, CO₂, water spray, water fog, and alcohol-resistance foam, etc. The major symptoms by exposure route are dyspnoea, bronchitis, chemical pneumonia and pulmonary edema for respiration, skin laceration, dermatitis, burn, frostbite and erythema for eyes, and nausea, diarrhea, stomachache, and tissue destruction for digestive organs. In atmosphere, its persistency is low, and its bioaccumulation in aquatic organism is also low.