In this study, we aimed to determine the seasonal distribution and biomass of fish in Samcheok marine ranching area (MRA) of Republic of Korea using the scientific echosounder. Fish trap and gillnets were used to identify fish species in the survey area, and dB-difference method was used to estimation the spatio-temporal distribution and density of fish. The results showed that the dominant species in Samcheok marine ranching area were Chelidonichthys spinosus, Sebastes inermis, Hexagrammos otakii and Tribolodon hakonensis. The spatio-temporal distribution of fish showed that fish had a relatively higher distribution at night than during the day. In addition, the density of fish by season was highest at night in July at 34.22 g/m 2 and lowest in April at 0.42 g/m 2 .

본 논문에서는 한국전통게임에 사용되는 접이식 종이구조물(이하 딱지)의 접이과정을 모델링하고 게임의 승리조건을 만족시키는 충돌조건을 유전알고리즘을 이용하여 산정하는 과정을 서술하였다. 딱지는 A4용지 2장으로 구성되는 것을 가정하였다. 접이과정은 강제경계조건을 부여하여 날개부분을 꼬임의 위치로 변형시키고 강체판의 강제경계조건을 이용하여 딱지를 압착하였다. 이후 복원 력에 의한 완화해석을 수행하여 게임에 사용된 딱지의 형상과 응력상태를 구성하였다. 얻어진 동일한 2개의 딱지 중 타격딱지를 주어 진 충돌위치로 강제변위에 의해서 이동시키고 주어진 충돌속력에 대한 충돌해석으로 게임의 진행과정을 해석하였다. 이 때 승리조건 인 피격딱지의 반전을 일으키는 충돌조건을 산정하기 위하여 유전알고리즘을 이용한 최적화해석을 수행하였다. 이 과정에서 효율적 인 해석을 위하여 충돌해석을 2단계로 나누고 1단계의 해석결과 피격딱지에 반전이 발생할 가능성이 있는 경우에만 2단계해석을 진 행하였다. 1단계 해석에서 유전알고리즘의 적합함수는 피격딱지의 방향코사인이었고 2단계해석에서는 속도의 역수로 하여 전체적 으로는 가장 낮은 충돌속력을 가지는 충돌조건을 찾아내고자 하였다. 해석수행결과 다양한 압착두께에 따른 최적의 충돌조건을 찾아 낼 수 있었다.

본 연구는 경남지역 대나무림에 대한 면적 및 입목축적량 산정과 함께 탄소저장량을 추정하기 위하여 수행되었다. 현재 산림청의 임업통계연보에는 대나무림에 대한 공간정보인 면적만 제시되고 있을 뿐, 입목축적에 대한 정보는 전혀 제공되고 있지 못하다. 따라서 본 연구에서는 최근에 만들어진 대나무 재적표를 활용하여 경남지역의 입목축적량을 계산하고, 여기에 탄소배출계수를 이용하여 탄소저장 량을 계산하였다. 대나무림에 대한 면적은 1/5,000 수치임상도에서 추출하였으며, 입목축적을 산정하기 위해 현지조사한 표준지 자료를 활용하였다. 표준지의 대나무는 개체목 별로 흉고직경과 수고에 재적표를 적용하여 표준지의 재적을 산정하였다. 경남지역 대나무의 공간분포 면적은 총 6,038ha로서, 전국 대나무림(20,262 ha)중 약 30%를 차지하는 것으로 나타났다. 경남지역 중에서는 하동군이 가장 많은 면적인 1,027 ha가 분포하는 것으로 나타났다. 경남지역의 시계열적인 분포면적 변화는 2013년 대비 2022년에 약 20.3% 감소하였으 며, 2019년 대비 약 0.4%가 감소하였다. 경남지역 대나무의 입목축적량은 2022년말 현재 148,510 ㎥인 것으로 계산되었으며, ha당 축적은 약 25 ㎥으로 나타났다. 그리고 경남지역 대나무 숲의 이산화탄소저장량은 287,277 tCO2 이었으며, ha당 저장량은 47.6 tCO2 인 것으로 나타났다.

The standards for heavy metal levels in crustaceans are 0.5 mg/kg and 1.0 mg/kg or lower for lead and cadmium, respectively. Further, the contamination levels of arsenic, mercury, methyl mercury, and tin are being continuously investigated, considering their current exposure levels. Shrimps are potentially exposed to heavy metals because they inhabit areas with abundant organic matter, such as sandy or muddy shores, places with a lot of seaweed, and estuaries. This study measured the monetary value of reducing consumer anxiety and increasing consumer confidence if the government prohibits the sale of shrimp species that exceed the threshold for specific heavy metals and of the top shrimp species for which no threshold for heavy metals is specified. We derived consumer willingness-topay (WTP). Combining the estimated WTP with the number of households in the country, the total value of benefits was estimated to be 363.9 billion won. The results of this study will provide an important empirical finding, showing to what extent specific policies regarding heavy metals in seafood can alleviate consumer anxiety and provide psychological reassurance.

본 연구는 모형선박의 횡방향 무게분포를 변화시키면서 횡요주기 및 관성모멘트에 의한 GM을 추정하고 경사시험으로 계측되 는 GM 값과 비교한다. 그 과정에서 각 수치를 분석하여 관계성을 파악한다. 실험 및 비교에 사용된 선박의 종류는 3종류로 7톤급, 20톤급 어선과 KVLCC의 모형선을 사용하였다. 실험은 스윙프레임 테스트와 자유 횡요 감쇠테스트를 수행하여 관성모멘트와 횡요주기를 계측하 고, 경사시험으로 GM을 계측하였다. 관성모멘트와 횡요주기로 추정된 GM과 경사시험으로 구해진 GM은 선박의 무게 분포 변화에도 동 일한 경향을 보였지만, 경사시험에서 구해진 GM이 더 작은 값을 보였다. 따라서 GM 추정 시에 관성모멘트나 횡요주기 외에도 추가적인 보정 계수나 파라미터가 필요하다고 판단된다. 추후 무게중심을 변화시켜 추정 GM과의 관계를 분석하여 보정 계수를 산출할 계획이다.

The potential impact of hypothetical accidents that occur during the immediate and deferred dismantling of the Kori Unit 1 steam generator has been comprehensively evaluated. The evaluation includes determining the inventory of radionuclides in the Steam Generator based on surface contamination measurements, assuming a rate of release for each accident scenario, and applying external and internal exposure dose coefficients to assess the effects of radionuclides on human health. The evaluation also includes calculating the atmospheric dispersion factor using the PAVAN code and analyzing three years of meteorological data from Kori NPP to determine the degree of diffusion of radionuclides in the atmosphere. Overall, the effective dose for residents living in the Exclusion Area Boundary (EAB) of Kori NPP is predicted, an it is found that the maximum level of the dose is 0.034% compared to the annual dose limit of 1 mSv for the general public. This implies that the potential impact of hypothetical accidents on human health discussed above is within acceptable limits.

The medium-large cladoceran species Simocephalus spp. predominantly occur in habitats with developed aquatic vegetation. Accordingly, due to Simocephalus’ high contribution to zooplankton community biomass in the lake’s littoral zone and wetland habitats, estimating their biomass is important to understand the matter cycling based on biological interactions within the aquatic food web. In this study, we reviewed the length-weight regression equations used previously to estimate Simocephalus biomass, directly measured S. serrulatus’ body specification (length, width and area) and their biomass (dry weight) using instruments such as a microscopic digital camera and a microscale, and performed regression analysis between each other. When S. serrulatus biomass was estimated using the equation (Kawabata and Urabe, 1998) presented in 『Biomonitoring Survey and Assessment Manual』, Korea, errors between estimates and measures were relatively large compared to the S. serrulatus species-specific biomass estimate equation developed by Lemke and Benke (2003). In addition, both equations showed not only increasing trends in error (estimate-measure) with increasing S. serrulatus’ body length, but also in error variance among similar-sized individuals. The results of regression analysis with dry weight by body specifications indicated that the most appropriate equation for estimating the biomass of S. serrulatus was derived from the width-dry weight exponential regression equation (R2=0.9555). The review and development study of such species-specific biomass estimation equations for zooplankton can be used as a tool to understand their role and function in aquatic ecosystem food webs.

The sustainability of fishing villages is threatened by manpower shortages due to population aging and poor settlement conditions. In the reality of poor fishing villages, the importance of women's labor is more emphasized than that of the past because female workers are key workers in fishing labor, processing and sales of marine products. However, policy support for female fishermen is not sufficient. The reason for this is that policy makers did not properly recognize the labor value of female fishermen. In fact, fishing villages have emphasized the importance of female workforce as a slogan, but there has been no attempt to estimate the labor value. There was not even a review of the methodology for estimating the value of labor that was attempted in similar fields. As a result, the policy importance of female fishermen was underestimated for there was no attempt to evaluate their value even though women had been continuously participating in the fishery from the past. Female fishermen’s labor is under the dual labor structure of housework and fishing labor. Therefore, in this study, housework and fishing labor were estimated separately and the total labor value was calculated. The basic data necessary for estimating the labor value of female fishermen were obtained through a survey. The method of estimating the labor value of female fishermen was used in combination with the present income method and the total replacement cost method. As a result of the study, the total labor value of female fishermen was about 4.4 trillion won, which is about half of the total fishery production of 9 trillion won in Korea.

A disposal of radioactive wastes is one of the critical issues in our society. Considering upcoming plans for dismantling of nuclear power plants, this problem is inevitable and should be discussed very carefully. There are variety of methods to handle with radioactive wastes, including Incineration, conventional gasification and plasma gasification. Among them, plasma gasification process is in the limelight due to its eco-friendly & stable operation, and large volume reduction effects. However, a fatal disadvantage is that it consumes more electric power than other methods, this leaves us a question of whether this process is indeed economical. Within the scope of this paper, I would like to introduce 4 cases which plasma facilities were evaluated economically in worldwide, and reach the conclusion on the economic feasibility of plasma process.

Fault activity acts as the greatest risk factor in relation to the stability of the radioactive waste disposal facilities and nuclear power plant site, and for this reason, geological studies on areas with past fault activity history must precede site evaluation studies. This study aims to trace the fault activity history of large fault zones, including the Yangsan fault in the southeastern part of the Korean Peninsula, where two major earthquakes occurred, and to obtain fault activity direction information that is the basis for stability evaluation. The 3D-Shape Preferred Orientation (SPO) of particles in the fault rock created by the earthquake was investigated to analyze the direction of fault plane activity, and the age of fault activity was estimated through Illite Age Analysis (IAA) analysis. It is expected that the large-scale fault activity information in the southeastern part of the Korean Peninsula obtained through the SPO and IAA analysis can be used as basic data for safety evaluation of existing or future nuclear power plants and radioactive waste facilities.

Long-term evolution of the surface environments can affect the safety of deep geological disposal. Therefore, it is important to understand the water balance components constituting the water cycle among atmosphere, surface, and subsurface. In Finand, the surface and near-surface hydrological model (SHYD) was developed to calculate the water balance of Olkiluoto Island. Through the intensive site investigations, the data sets as input for the site scale model in present-day conditions have been collected such as transpiration and meteorological data. In this study, weighing lysimeter method was selected to quantify small-scale soil water balance of the vadose zone in the UNsaturated zone In-situ Test facility (UNIT) around KAERI Underground Research Tunnel. Hydrological components such as precipitation, evapotranspiration (ET) and leachate were derived from water balance analysis on the lysimeter measurements in UNIT. Among the hydrological components, actual ET accounts for more than 50% of the annual precipitaion, and thus plays an important role on predicting the hydrological evolution in the future. In this context, actual ET measured from the weighing lysimeter was compared with potential ET estimated from meteorological data using FAO-56 Penman-Monteith method.

The distribution characteristics of rock fractures determine the hydro-mechanical behavior of natural barriers. Rock fractures are defined by various parameters, which are analyzed as the probability distribution from observation results by surveying the exposed rock surface or borehole. The size is known to have the most uncertainty among the fracture parameters because it cannot be directly measured. Therefore, various estimation methods have been proposed for fracture size distribution using the fracture traces observable on the rock surface. However, most methods are based on a planar survey area, limiting their applicability to the underground research laboratory (URL) excavated in the form of tunnels. This study aims to review a method that can be applied to estimate the size distribution of fractures in deep rock masses at the URL site. The estimation method using the joint center volume (JCV) has recently been extended to be applicable regardless of the geometry of the survey area, which means that it can be applied to the URL site with complex structures. To apply the JCV-based estimation method to non-planar survey areas, JCV calculation using Monte Carlo simulation and estimation of fracture size distribution using the maximum likelihood method are required. In this study, we applied the JCV-based estimation method to a tunnel-shaped survey area to examine its applicability to the URL site. The error rates were analyzed when there were fracture sets with various orientations, size distributions, and maximum fracture sizes in the rock mass, and it was found to be less than 10% in all cases. This result indicates that the JCV-based estimation method can be used to estimate the fracture size distribution of the surrounding rock mass if accompanied by a reliable survey of fracture traces on the tunnel surface inside the URL site. Also, since there are no restrictions on the geometry of the survey area, we can continuously update the estimation results during the URL excavation process to increase reliability. The fracture size distribution is essential for constructing the discrete fracture network (DFN) model of the rock mass units at the URL site. In the future, the uncertainty for the fracture size in the DFN model is expected to be reduced by applying the JCV-based estimation method.

The Korea Institute of Nuclear Nonproliferation and Control (KINAC) is developing a simulation model to estimate nuclear material production. This model is a foundational technology in interpretation and evaluation in preparation for denuclearization verification. Through this model, it is possible to estimate the amount of nuclear material that can be produced based on information on the activities of facilities related to the nuclear fuel cycle in the actual denuclearization verification stage. This model makes it possible to determine whether the declared amount of nuclear material is reliable. In addition, the reliability of the reported information can be confirmed through on-site inspection. However, there is a possibility that proliferation-related activities cannot be detected even through this inspection, and a normal state may be misdiagnosed as carrying out nuclear proliferation-related activities. Therefore, it is unreasonable to specify activities related to nuclear proliferation with only one inspection. Since each inspection method has its diagnosis rate and false diagnosis rate, measures such as repeating the same inspection method or combining different inspection methods are required to detect activities related to nuclear proliferation reliably. Therefore, a model capable of estimating the number of repetitions to obtain a reliable nuclear activity detection probability was developed by using each inspection method’s diagnosis rate and false diagnosis rate as input information through a Bayesian inference method. Through this model, it can be concluded that repetitive inspections increase the probability of detecting nuclear proliferation-related activities. This approach confirmed the possibility of repeatedly breaking away from the high-intensity inspection method that causes political and diplomatic resistance from the target country and substituting it with a more readily acceptable, low-intensity inspection method.

Nuclear fusion energy is considered as a future energy source due to its higher power density and no emission of greenhouse gas. Therefore, various researches on nuclear fusion is being conducted. One of the key materials for the nuclear fusion research is tritium because the D-T reaction is the main reaction in the nuclear fusion system. However, that tritium can also be used for non-peaceful purposes such as hydrogen bombs. Therefore, it is necessary to establish the safeguards system for tritium. In that regards, this study analyzed the possibility of applying safeguards to tritium. To achieve this objective, the tritium production capacity through the light water reactor was analyzed. Tritium Production Burnable Absorber Rod (TPBAR) was modeled through the MCNP code, and tritium production was analyzed. The TPBAR is composed of a cylindrical tube with a double coating of aluminum and zirconium, filled with a sintered lithium aluminate (LiAlO2) pellet to prevent the release of tritium. Tritium is produced by the reaction of Li-6 in the TPBAR with neutrons, and it is extracted and stored at the Tritium Extraction Facility (TEF). As a result, the tritium production increased as the burnup and Li-6 mass increased. In addition, when the tritium produced in this way was transferred to TEF and extracted through the process, the application of safeguards measures was analyzed. To this end, various safeguards measures were devised, such as setting an Material Balance Area (MBA) for TEF and analyzing Material Balance Period (MBP). As there is no designated Significant Quantity (SQ) for tritium, cases were classified based on the type and form of nuclear weapons to estimate the Sigma MUF (Material Unaccounted For) of the TEF. Finally, the comprehensive application of safeguards to tritium was discussed. This research is expected to contribute to the establishment of IAEA safeguards standards related to tritium by applying the findings to actual facilities.

코로나19는 비말을 통해 전염되는 호흡기 질환으로 건물의 실내 공간은 코로나19의 대규모 감염에 매우 취약한 곳이다. 집약된 토지 이용으로 인해 수많은 사람들이 고층의 건물에 밀집해 있는 도시 환경은 이러한 질병에 더 취약할 수 있다. 뿐만 아니라 도시의 인구 분포는 시간에 따라 역동적인 변화를 보이기 때문에 코로나19와 같은 전염병에 대한 역학 조사의 성공은 도시 인구의 시공간적 변화를 얼마나 잘 이해하는지에 달려있다. 하지만 특정 시간대에 특정 건물에 분포하고 있는 현재 인구 밀도를 파악하는 것은 무척 어려운 일이다. 따라서 본 연구는 특정 시간대의 도시 인구의 수평적, 수직적 분포를 보다 정확하게 추정하기 위한 대안을 제시하고자 한다. 보다 구체적으로 지리가중회귀(GWR) 모델에 기반한 대시메트릭 매핑 기법을 이용하여 건물 단위의 현재 인구를 추정하였다. 일반적으로 대시메트릭 매핑 기법은 보조 자료를 사용하여 기존의 공간 스케일을 넘어 보다 상세한 수준의 인구 분포를 추정할 수 있도록 해준다. 본 연구에서는 건물의 용도와 연면적을 보조 정보로 활용하였으며, GWR 모델을 이용하여 지역적으로 이질적인 인구 분포 특성을 반영하였다. 연구 결과, 서울시 전체에 걸쳐 집계구보다 상세한 건물 단위 수준의 인구 분포를 추정할 수 있었다. 건물 단위의 현재 인구 추정은 코로나19와 같은 팬데믹 전염병의 역학 조사나 효과적인 방역 대책 수립을 위한 중요한 기초 자료로 활용될 수 있을 것으로 기대한다.