This study aims to promote the necessity for future research from the perspective of the indoor environment by analyzing the trend of domestic COVID-19 confirmed cases and examining previous quantitative research cases. The limitations of the qualitative management plan were identified by analyzing the trend of confirmed cases and deaths in Korea and the trend before and after the implementation of 'social distancing' and 'step-by-step daily recovery', which are actually being applied. The trend of initial and follow-up measures for the outbreak of infectious diseases in Korea is judged to be a case where the importance of qualitative and quantitative management should be confirmed to prepare absolute quarantine measures. The results suggest that examining previous research cases and preparing through advanced research for effective application.

Using data from flies collected with pitfall traps in 365 forests on a nationwide scale in Korea, the abundance and distribution changes of two families (Phoridae and Lauxaniidae) in Korean forests were predicted at the genus level according to two climate change scenarios: RCP 4.5 and RCP 8.5. The most suitable temperature for the 17 major genera was estimated using a weighted average regression model. Stichillus and Anevrina displayed the lowest optimum temperature with 7.6℃ and 8.5℃ in annual mean temperature, respectively, whereas Chonocephalus had the highest optimum temperature with 12.1℃. Among thirty genera, seven genera (four from Phoridae and three from Lauxaniidae), which showed their abundance in a bell-type or linear pattern along the temperature gradient, were used for predicting the distribution changes according to the future climate change scenarios. All the taxa of this study are expected to decrease in abundance and distribution as a function of temperature increase. Moreover, cold-adapted taxa were found to be more affected than warmadapted taxa.

This study examines the effects of surrounding outdoor environmental characteristics in multi-use public facilities that are used by the susceptible population, on the concentration and distribution of indoor airborne bacteria. For this study, areas were divided into ‘factory area,’ ‘city area,’ and ‘forest area.’ The research was conducted from October 2017 to April 2018, and the selected target facilities were daycare centers, hospitals, postpartum care centers, and nursing homes for the elderly. In order to measure airborne bacteria, indoor air samples were collected using a six-stage viable particulate cascade impactor, and airborne bacteria samples were collected using MCE (Mixed cellulose esters) filters. Moreover, the outdoor airborne bacteria concentration was also measured to determine the concentration ratio (I/O ratio) of the total indoor airborne bacteria and total outdoor airborne bacteria concentrations. The results showed that the total outdoor airborne bacteria concentration was highest in the city area, with 74.2 ± 60.0 CFU/m3, and the lowest in the factory area, with 45.9 ± 35.8 CFU/m3. Furthermore, the distribution of the total outdoor airborne bacteria concentrations significantly differed across each surrounding environment (p < 0.05). On the other hand, no statistically significant difference in total indoor airborne bacteria concentrations, according to surrounding environments, was observed (p > 0.05). These findings suggest that the concentration of outdoor airborne bacteria differs across surrounding environments, unlike that of the indoor airborne bacteria.

This study was conducted as a part of the research for the “Development of Big Data Analysis Techniques and AI-based Integrated Support System for Energy-Environment Management.” We collected research results on characterization of distribution of fine dust and re-analyzed using meta-analysis techniques to build “big data” with high potential for school environments. The results of prior studies on the characteristics of fine dust concentration distribution in a school environment conducted in Korea were collected and re-analyzed the results using the metaanalysis technique. In this manner, the variables that could be used to derive the independent variables needed to produce the e-coding book prior to the big data collection, were first derived. The possibility of using the data as independent variables was then evaluated. In this study, three variables: “elementary school vs. middle school vs. high school,” “general classroom vs. special classroom,” and “new classroom vs. old classroom” were evaluated for their application as major classification variables with priority. The necessity of being derived as a major classification variable was examined by testing the difference in fine dust concentration distribution in the school environment by each variable case. Results showed that “elementary school vs. middle school vs high school” and “general classroom vs. special classroom” could be used as independent variables, while “new classroom vs. old classroom” was less likely to be used as an independent variable.

The objective of this study is to identify the research trend in the field of indoor environment in Korea. We collected 419 papers published in the Journal of the Korean Society for indoor environment between 2004 and 2018, and attempted to produce datasets using a topic modeling technique, Latent Dirichlet Allocation(LDA). The result of topic modeling showed that 8 topics (“VOCs investigation”, “Subway environment”, “Building thermal environment”, “School health”, “Building particulate matter”, “Asbestos risk”, “Radon risk”, “Air cleaner and treatment”) could be extracted using Gibbs sampling method. In terms of topic trends, investigation of volatile organic compounds, subway environment, school health, and building particulate matter showed a decreasing tendency, while the building thermal environment, asbestos risk, radon risk, air cleaners, and air treatment showed an increasing tendency. The results of this topic modeling could help us to understand current trends related indoor environment, and provide valuable information in developing future research and policy frameworks.

Samples were collected from planktonic habitats of the fresh and brackish waters in Korea from August 2016 to May 2018. As a result, three genera and nine species were newly recorded in Korea. The unrecorded indigenous genera were Anathece, Chondrocystis and Geminocystis, and nine species were Anabaenopsis arnoldii, Anathece smithii, Chondrocystis dermochroa, Coelosphaerium aerugineum, Eucapsis microscopica, Geminocystis herdmanii, Microcystis panniformis, Synechococcus nidulans and Woronichinia karelica. Anathece smithii, Coelosphaerium aerugineum, Eucapsis microscopica, Microcystis panniformis and Synechococcus nidulans had been reported to inhabit freshwater, but these were found in brackish water in this study. Microcystis panniformis, which is a potential genus for causing green-tide, is taxonomically valuable in Korea.

Samples were collected from benthic and subaerophytic habitats of fresh and brackish water in Korea from April 2017 to April 2018. Accordingly, three genera and seven species were newly recorded in Korea. Three unrecorded genera were Cephalothrix, Cyanophanon and Toxifilum, and seven species were Anagnostidinema pseudacutissimum, Calothrix elenkinii, Cephalothrix komarekiana, Cyanophanon mirabile, Cyanosarcina chroococcoides, Leptolyngbya ectocarpi and Toxifilum mysidocida. Anagnostidinema pseudacutissimum and Cephalothrix komarekiana had been previously reported to inhabit freshwater, but these were found to be present in brackish water during the period of the present study. Also, Cyanosarcina chroococcoides previously reported to inhabit moorland waters and swamps, were found to be present in subaerophytic habitat.

Phytoplanktons were collected from various environments including small marshes, small ponds, reservoirs and brackish water from March 2017 to November 2017. In this study, five species of family Scenedesmaceae were newly recorded in Korea. The genus Desmodesmus was newly reported in Korea. The newly recorded species are Scenedesmus nanus, S. praetervisus, Desmodesmus costato-granulatus, D. lunatus and D. spinulatus. S. nanus and S. praetervisus are known to occur in freshwater, but they were found in the brackish water in this study.

The purpose of this study is to implement through the utilization of geographical information that was currently constructed in the development of the radon map creation methodology. In addition, we suggested a model for forecasting radon gas in soil based on the mechanism of radon exhalation from soil. To provide basic data for radon mapping in Korea, we compared the results obtained using the proposed model with the results of a field survey. Based on the comparison, we discussed the feasibility of the proposed model. The soil radon exhalation rate prediction model was built on the first order prediction model in the steady-state based on the law of conversion of mass. To verify the model by comparing the predicted value with a field survey, a grid of 7.5 × 6.3 cm was created at a 1:500,000 map of Korea, and the intersection point of the grid was selected as measurement site. The results showed a low error rate when compared with the previous studies, and it is expected that the model proposed in this study and the currently constructed geogenic information database can be used in combination to map the soil radon gas in Korea.

요약; 최근에는 기계 학습, 특히 심층 학습에 많은 연구가 진행되고 있다. 구글, 페이스 북과 같은 대기업이 인공 지능과 기계 학습에 관심을 가지고 있기 때문에, 이러한 연구는 날마다 발전하고있다. 기계 학습은 의학, 번역 및 IT와 같은 다양한 산업에서 사용될 것으로 기대됩니다. 게임 부문은 기계학습 기술적용의 효과가 예상되는 영역 중 하나라고 간주됩니다. 본 논문에서는 MMORPG-Tera의 게임 콘텐츠에서 몬스터의 승패를 예측하는 신경망을 Tensorflow를 통해 설계하였다. 이 모델은 1 개의 입력 레이어, 2 개의 숨겨진 레이어 및 1 개의 출력 레이어를 가지고 있다. 입력 레이어에는 8 개의 노드가 있고 각 숨겨진 레이어에는 16 개의 노드가 있으며 출력 레이어에는 1 개의 노드가 있다. 더 나은 결과를 위해 우리는 그라디언트 디센트, 시그 모이드 (Sigmoid) 함수 및 Relu 함수 (Activate 함수)에 Adam을 사용한다. 준비된 데이터 세트의 마지막 부분은 테스 트 데이터 용으로 사용되고 나머지는 학습 모델 용으로 사용되었다. 이 모델은 5 ~ 10 % 오차 이내의 확률을 예측할 수 있다. 데이터 세트의 부족은 만족스럽지 않은 점으로 남아 있으며, 충분한 데이터가 수집되고 더 개선 된 모델이 준비되면 오류를 더 줄일 수 있다. 그리고 제안된 모델은 앞으로 다른 게임이나 스포츠 게임에도 적용될 것이다.

The purpose of this study was to characterize the concentration of and evaluate the pollution level of indoor air pollutants among the public-use facilities located in Seoul that are mainly used by medically sensitive users. The data used in this study were analyzed based on the supervision data provided by Seoul Metropolitan Government Research Institute of Public Health and the Environment. There were 399 nursery schools, 188 medical facilities, 42 elderly care facilities and 96 postnatal care centers. The indoor air pollutants to be investigated were analyzed for PM10, CO2, HCHO, TAB and CO. Through the analysis, it was found that among the surveyed pollutants, TAB levels exceeded the criteria most often, in 54 facilities. Among the surveyed facilities, nursery schools exceeded the criteria most often, in 49 facilities. There was a statistically significant difference between the pollutants in each facility (p<05). However, considering the characteristics of the data used in this study, additional factors should be investigated for factors affecting the concentration of each indoor air pollutant for a more rational evaluation.

Samples were collected between August 2016 and May 2017 at Sangju-si, Gyeongsangbuk- do, Jeju-do, and Uljin-gun, Gangwon-do. As a result, one genus and six species were newly recorded in Korea. The unrecorded indigenous genus was Borzia, and the six species were Anagnostidinema acutissimum, Komvophoron bourrellyi, Hydrocoleum stankovicii, Borzia trilocularis, Phormidium tinctorium and Pseudanabaena lohchoides. Phormidium tinctorium and Pseudanabaena lohchoides had been reported to inhabit freshwater, but in this study, these were found in brackish water. It had also been reported that B. trilocularis trichomes are composed of up to 8 cells, but in this study, a maximum of 10 cells was observed.

Despite increasing public concern following mass media coverage regarding the risk of radon to human health and the need to control it, there remains a lack of infrastructure for measuring and mitigating radon. Against this backdrop, this paper is part of an effort to formulate an environment-management framework that can help resolve environmental issues relating to radon, ease fears regarding the associated risks, and provide radon-specific quality services. This study aimed to suggest locally applicable measures for training experts specializing in the fields of measuring and mitigating radon mainly based on US cases in which radon measurement and mitigation certification programs have been systematically run and supervised. Given the lack of both awareness on radon and experts in Korean circumstances, it is necessary to come up with a scheme to develop a radon-specific education program and a framework for expert accreditation. Thus, as groundwork for their introduction considering local circumstances, top-down measures led by the relevant department of government-led organizations, which will act as the control tower, should first be implemented to best utilize the insufficient human resources in this area. In addition, more systematic and detailed educational programs and an expert certification system need to be developed in accordance with the established foundations, and to support their consistent operation, a relevant administrative system should be constructed.

Senior citizens are reported to be highly sensitive to environmental pollutants, including fine particulate matter. The purpose of this study is to investigate the distributions of fine particulate matter concentrations in town halls and senior citizens’ halls, where senior citizens typically spend a lot of time. The results of this investigation will serve as fundamental data for conducting indoor air quality studies and establishing a regional environmental health policy governing senior citizens’ facilities in Yeongwol county in the future. From January 4 to February 1, 2017, PM10 and PM2.5 concentrations in 170 seniors’ facilities located in Yeongwol county were measured. The average concentrations of PM10 and PM2.5 that were measured from each seniors’ facility chosen from Yeongwol county were 25.1 ± 18.9 μg/m3and 12.5 ± 9.3 μg/m3 respectively. Average concentrations and the average of maximum concentrations were lower than the living space standard of 100 μg/m3 for PM10 and the atmospheric environment standard of 50 μg/m3 for PM2.5, which were set by the Ministry of Environment for populations vulnerable to environmental pollution. As a result of analyzing the sources in seniors’ facilities in Yeongwol county during the winter months, it was found that indoor sources of air pollution such as cooking is main sources rather than outdoor sources of air pollution.

With increasing public awareness regarding radon, this study has been conducted with the aim of providing more accurate information about radon to the public. We investigated the radon emissions from gypsum boards, which are known to emit relatively higher levels of radon among the building materials available on the market. Radon emissions were measured over three weeks using the closed chamber method with nuclear track detectors. For ceiling materials, the arithmetic mean of the radon emissions was 43.8 ± 42.2 Bq/m3 (geometric mean: 28.9 ± 5.6), 156.2 ± 150.5 mBq/m2/h per unit area (geometric mean, 103.1 ± 2.7) and 21.1 ± 19.9 mBq/kg/h per unit mass (geometric mean: 14.4 ± 2.6). Regarding the wall materials, the arithmetic mean of radon emissions was 24.1 ± 24.0 Bq/m3 (geometric mean: 15.6 ± 2.6), 133.3 ± 143.4 mBq/m2/h per unit area (geometric mean, 76.8 ± 3.0) and 13.0 ± 10.4 mBq/kg/h per unit mass (geometric mean, 9.5 ± 2.3). According to the results of this study, higher radon concentrations and emissions were detected in the ceiling materials than in the wall materials, but these values were lower than those previously measured in building materials.

Butterflies are commonly used for environmental monitoring to assess biodiversity changes in the world. Occurrence of butterflies were monitored by a line transect method in Gwangneung forest for 10 years from 2005 to 2014. Totally, 8,484 individuals of 96 species of butterflies were identified. Among them, two species Libythea celtis (2807 individuals) and Pieris melete (1517 individuals) were the most abundant species, followed by Argynnis paphia (381 individuals) and Neptis philyroides (277 individuals). Meanwhile, Pieris melete and Libythea celtis showed high occurrence frequency with 84.6% (99 times among the 117 monitoring times) and 76.9% (90 times) respectively, followed by Argynnis paphia (42.7%) and Pieris canidia (40.2%). Species richness and abundance were varied at different years, and they were slightly decreasing in recent years. Most species showed annual variation in their abundance. Species abundance distribution model showed a log-normal distribution.