• Title/Summary/Keyword: 국내원전

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A Feasibility Study for Decision-Making Support of a Radioactive Contamination Model in an Urban Environment (METRO-K) (도시환경 방사능오염 평가모델 METRO-K의 대응행위 결정지원을 위한 실용성 연구)

  • Hwang, Won-Tae;Han, Moon-Hee;Jeong, Hyo-Joon;Kim, Eun-Han;Lee, Chang-Woo
    • Journal of Radiation Protection and Research
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    • v.33 no.1
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    • pp.27-34
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    • 2008
  • A Korean urban contamination model METRO-K (${\underline{M}}odel$ for ${\underline{E}}stimates$ the ${\underline{T}}ransient$ Behavior of ${\underline{R}}adi{\underline{O}}active$ Materials in the ${\underline{K}}orean$ Urban Environment, which is capable of calculating the exposure doses resulting from radioactive contamination in an urban environment, is taking part in a model testing program EMRAS (${\underline{E}}nvironmental$ ${\underline{M}}odelling$ for ${\underline{RA}}diation$ ${\underline{S}}afety$) oragnized by the IAEA (${\underline{I}}nternational$ ${\underline{A}}tomic$ ${\underline{E}}nergy$ ${\underline{A}}gency$). For radioactive contamination scenarios of Pripyat districts and a hypothetical RDD (${\underline{R}}adiological$ ${\underline{D}}ispersal$ ${\underline{D}}evice$), the predicted results using METRO-K were submitted to the EMRAS's Urban Contamination Working Group. In this paper, the predicted results for the contamination scenarios of a Pripyat district were shown in case of both without remediation measures and with ones. Comparing with the predictied results of the models that have taken part in EMRAS program, a feasibility for decision-making support of METRO-K was investigated. As a predicted result of METRO-K, to take immediately remediation measures following a radioactive contamination, if possible, might be one of the best ways to reduce exposure dose. It was found that the discrepancies of predicted results among the models are resulted from 1) modeling approaches and applied parameter values, 2) exposure pathways which are considered in models, 3) assumptions of assessor such as contamination surfaces which might affect to an exposure receptor and their sizes, 4) parameter values which are related with remediation measures applied through literature survey. It was indentified that a Korean urban contamination model METRO-K is a useful tool for dicision-making support through the participation of EMRAS program.

A Resurrection of Gongampungbyeog Cliff and Geoyeonjeong Byeolseowonlim in Cheongdo (청도 공암풍벽과 거연정(Geoyeonjeong) 별서원림의 재조명)

  • Kim, Jeong-Moon;Jeong, Poo-Rum;Rho, Jae-Hyun
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.38 no.3
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    • pp.11-24
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    • 2020
  • The purpose of this study was to re-examine the neglected and forgotten Cheongdo Geoyeonjeong, to correct the wrong contents, examine the changes and conditions of the garden, and to establish basic data on the components of the forest in the future. In addition, it was extended to the Gongampungbyeog Cliff, the influence area of the Geoyeonjeongwonlim, and the results of the study were as follows; First, Based on the recitation of "Seonyu pungryu(仙遊風流)" in the "Cheongsuheon-yugo(聽水軒遺稿),", Dongchangcheon Stream and Gongampungbyeog(孔巖楓壁) were influenced by the outer gardens of the Georyeonjeongwonrim. Second, Small pavilion was built and arranged under the rock of Byeongam(Byeongpungbawi) in the management history of Geoyeonjeong Pavilion. The records show that Cheongsuheon used the Geoyeonjeong Pavilion as the original forest and even recognized Oewon, which is a scenic influence, as the Gongampungbyeog Cliff. Third, Many of the poems related to Gongam were recognized as Seunggyeong, which represents the Unmun area, and the eight scenery of Cheongdo and Unmungugok were established here as proof that Gongampungbyeog Cliff was very faithful to the traditional Seunggyeong aspect of Gongampungbyeog Cliff, and the crystalline structure of the location was implied as an external source of Geoyeonjeongwonlim. Fourth, The lower part of Dongchangcheon Stream, which stretches from Geoyeonjeongwonrim to Gongam, is filled with attractions consisting of cancerous areas such as Punghodae, Moseongam, Buangdae, Gokcheondae, Saganjeong, Hakgadae, and Hyeongjeam, which provide a clearer picture of the space and landscape of the Geyeonjeongwonrim Outer Garden. Fifth, The expression "dragging water, spilling it into the courtyard, and sending it back to the downtown of the field" of the Cheongsuheon-yugo suggests that the site of Geoyeonjeong Pavilion was originally a prevention. It is also inferred that Cheng Shu-heon also wanted to respect runners and pursue natural views like runners. Sixth, The record of planting a description of spring water and willow trees in "Geoyeonjeong Manyeong(居然亭晩影)」" and "Sanggukseol(霜菊說)」" suggests that the chrysanthemum was planted and planted, and that the chrysanthemum was used to describe the Osanggojeol(傲霜孤節), which means that he would not yield and keep his incision alone despite severe frost. Seventh, It is believed that the writing was written by Cheongsuheon in 1844 during the period of the creation of the Wonrim. The rock letters on the floor of Geoyeonjeong suggest the names of the receiving and the winning prizes. Most of the passages are based on nuclear power plants, including Muidogyo of the Zhuzi, and most of them incorporate the virtues of the Gunja and the natural views of the Eunja. In addition, the rock writing 'Gyeong(敬)' or 'Uidang(義堂)' is a substitute for special worship objects or introspection, adding to the significance and scenic properties of the Georyeon Garden Forest.

Analysis of media trends related to spent nuclear fuel treatment technology using text mining techniques (텍스트마이닝 기법을 활용한 사용후핵연료 건식처리기술 관련 언론 동향 분석)

  • Jeong, Ji-Song;Kim, Ho-Dong
    • Journal of Intelligence and Information Systems
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    • v.27 no.2
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    • pp.33-54
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    • 2021
  • With the fourth industrial revolution and the arrival of the New Normal era due to Corona, the importance of Non-contact technologies such as artificial intelligence and big data research has been increasing. Convergent research is being conducted in earnest to keep up with these research trends, but not many studies have been conducted in the area of nuclear research using artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. This study was conducted to confirm the applicability of data science analysis techniques to the field of nuclear research. Furthermore, the study of identifying trends in nuclear spent fuel recognition is critical in terms of being able to determine directions to nuclear industry policies and respond in advance to changes in industrial policies. For those reasons, this study conducted a media trend analysis of pyroprocessing, a spent nuclear fuel treatment technology. We objectively analyze changes in media perception of spent nuclear fuel dry treatment techniques by applying text mining analysis techniques. Text data specializing in Naver's web news articles, including the keywords "Pyroprocessing" and "Sodium Cooled Reactor," were collected through Python code to identify changes in perception over time. The analysis period was set from 2007 to 2020, when the first article was published, and detailed and multi-layered analysis of text data was carried out through analysis methods such as word cloud writing based on frequency analysis, TF-IDF and degree centrality calculation. Analysis of the frequency of the keyword showed that there was a change in media perception of spent nuclear fuel dry treatment technology in the mid-2010s, which was influenced by the Gyeongju earthquake in 2016 and the implementation of the new government's energy conversion policy in 2017. Therefore, trend analysis was conducted based on the corresponding time period, and word frequency analysis, TF-IDF, degree centrality values, and semantic network graphs were derived. Studies show that before the 2010s, media perception of spent nuclear fuel dry treatment technology was diplomatic and positive. However, over time, the frequency of keywords such as "safety", "reexamination", "disposal", and "disassembly" has increased, indicating that the sustainability of spent nuclear fuel dry treatment technology is being seriously considered. It was confirmed that social awareness also changed as spent nuclear fuel dry treatment technology, which was recognized as a political and diplomatic technology, became ambiguous due to changes in domestic policy. This means that domestic policy changes such as nuclear power policy have a greater impact on media perceptions than issues of "spent nuclear fuel processing technology" itself. This seems to be because nuclear policy is a socially more discussed and public-friendly topic than spent nuclear fuel. Therefore, in order to improve social awareness of spent nuclear fuel processing technology, it would be necessary to provide sufficient information about this, and linking it to nuclear policy issues would also be a good idea. In addition, the study highlighted the importance of social science research in nuclear power. It is necessary to apply the social sciences sector widely to the nuclear engineering sector, and considering national policy changes, we could confirm that the nuclear industry would be sustainable. However, this study has limitations that it has applied big data analysis methods only to detailed research areas such as "Pyroprocessing," a spent nuclear fuel dry processing technology. Furthermore, there was no clear basis for the cause of the change in social perception, and only news articles were analyzed to determine social perception. Considering future comments, it is expected that more reliable results will be produced and efficiently used in the field of nuclear policy research if a media trend analysis study on nuclear power is conducted. Recently, the development of uncontact-related technologies such as artificial intelligence and big data research is accelerating in the wake of the recent arrival of the New Normal era caused by corona. Convergence research is being conducted in earnest in various research fields to follow these research trends, but not many studies have been conducted in the nuclear field with artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. The academic significance of this study is that it was possible to confirm the applicability of data science analysis technology in the field of nuclear research. Furthermore, due to the impact of current government energy policies such as nuclear power plant reductions, re-evaluation of spent fuel treatment technology research is undertaken, and key keyword analysis in the field can contribute to future research orientation. It is important to consider the views of others outside, not just the safety technology and engineering integrity of nuclear power, and further reconsider whether it is appropriate to discuss nuclear engineering technology internally. In addition, if multidisciplinary research on nuclear power is carried out, reasonable alternatives can be prepared to maintain the nuclear industry.