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      • 서울시 지하철 역사내 라돈의 농도분포

        황인조,한근혁,최형욱,김동술,김신도 경희대학교 환경연구소 2001 環境硏究 論文集 Vol.10 No.-

        The various existing situations like overpopulation, urbanization, industrialization, and heavy traffic volume in the Seoul metropolitan area have led to the air pollution problem, traffic problem, and increase in opportunities of residing underground place. So, recently in Korea, the residents using underground working place have been of great concerns on indoor air pollutants such as HCHO, radon, particulate matter, carbon monoxide. However, the studies on indoor air pollution have been not extensively conducted in Korea. Indoor radon is an odorless, colorless, tasteless, invisible, inert, and naturally occurring radioactive gas. And it has been known as one of the notorious carcinogens. The purpose of this study was to survey the concentration variations of radon in the subway stations located Seoul metropolitan area. Total of 216 subway stations were surveyed by the continuous radon monitors from Mar. 2001 to Jun. 2001. The study showed that average radon levels of concourses in each line were 1.51, 1.45, 1.51, 1.23, 1.28, 1.37, 1.12, 1.28 pCi/L and those of platforms in each line were 2.09, 1.43, 1.37, 1.67, 1.44, 1.54, 1.40, 1.22 pCi/L, respectively. The study results showed that the average radon concentrations were 1.19 pCi/L in outdoor, 1.34 pCi/L in concourse, and 1.52 pCi/L in platform, respectively.

      • KCI등재후보

        KOMPSAT-3/3A 광학 위성영상으로부터 산업단지 및 채석장 분류를 위한 GeoAI 데이터셋

        박채원,정형섭,이원진,이광재,오관영,장재영,이명진,한근혁,최일훈 (사)지오에이아이데이터학회 2023 GEO DATA Vol.5 No.4

        Air pollution is a serious problem in the world, and it is necessary to monitor air pollution emission sources in other neighboring countries to respond to the problem of air pollution spreading across borders. In this study, we utilized domestic and international optical images from KOMPSAT-3/3A satellites to build an AI training dataset for classifying industrial parks and quarries, which are representative sources of air pollution emissions. The data can be used to identify the distribution of air pollution emission sources located at home and abroad along with various state-of-the-art models in the image segmentation field, and is expected to contribute to the preservation of Korea’s air environment as a basis for establishing air-related policies.

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