This study was conducted to estimate the damage of Whole Crop Corn (WCC; Zea Mays L.) according to abnormal climate using machine learning as the Representative Concentration Pathway (RCP) 4.5 and present the damage through mapping. The collected WCC data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. The machine learning model used DeepCrossing. The damage was calculated using climate data from the automated synoptic observing system (ASOS, 95 sites) by machine learning. The calculation of damage was the difference between the dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of WCC data (1978-2017). The level of abnormal climate by temperature and precipitation was set as RCP 4.5 standard. The DMYnormal ranged from 13,845-19,347 kg/ha. The damage of WCC which was differed depending on the region and level of abnormal climate where abnormal temperature and precipitation occurred. The damage of abnormal temperature in 2050 and 2100 ranged from -263 to 360 and -1,023 to 92 kg/ha, respectively. The damage of abnormal precipitation in 2050 and 2100 was ranged from -17 to 2 and -12 to 2 kg/ha, respectively. The maximum damage was 360 kg/ha that the abnormal temperature in 2050. As the average monthly temperature increases, the DMY of WCC tends to increase. The damage calculated through the RCP 4.5 standard was presented as a mapping using QGIS. Although this study applied the scenario in which greenhouse gas reduction was carried out, additional research needs to be conducted applying an RCP scenario in which greenhouse gas reduction is not performed.

This study aimed to confirm the importance ratio of climate and management variables on production of orchardgrass in Korea (1982―2014). For the climate, the mean temperature in January (MTJ, ℃), lowest temperature in January (LTJ, ℃), growing days 0 to 5 (GD 1, day), growing days 5 to 25 (GD 2, day), Summer depression days (SSD, day), rainfall days (RD, day), accumulated rainfall (AR, mm), and sunshine duration (SD, hr) were considered. For the management, the establishment period (EP, 0―6 years) and number of cutting (NC, 2nd―5th) were measured. The importance ratio on production of orchardgrass was estimated using the neural network model with the perceptron method. It was performed by SPSS 26.0 (IBM Corp., Chicago). As a result, EP was the most important variable (100%), followed by RD (82.0%), AR (79.1%), NC (69.2%), LTJ (66.2%), GD 2 (63.3%), GD 1 (61.6%), SD (58.1%), SSD (50.8%) and MTJ (41.8%). It implies that EP, RD, AR, and NC were more important than others. Since the annual rainfall in Korea is exceed the required amount for the growth and development of orchardgrass, the damage caused by heavy rainfall exceeding the appropriate level could be reduced through drainage management. It means that, when cultivating orchardgrass, factors that can be controlled were relatively important. Although it is difficult to interpret the specific effect of climates on production due to neural networking modeling, in the future, this study is expected to be useful in production prediction and damage estimation by climate change by selecting major factors.

담수의 염분화, 저지대 영토 상실 등 해수면 상승의 부정적 영향이 일부 국 가들과 거주민에게 생존을 위협할 정도로 가시화되고 있는 가운데, 이를 해결 하기 위한 국제법적 방법의 일환으로 기후변화와 국제법에 관한 소도서국 위원 회(Commission of Small Island States on Climate Change and International Law, 이하 COSIS)는 2022년 12월 국제해양법재판소에 유엔해양법협약상 기후변화에 대한 국가책임에 관한 권고적 의견을 요청하였다. 현재 유엔해양법협약은 해수면 상승을 포함한 기후변화 원인을 명시적으로 규율하는 조문을 가지고 있지 않다. 다시 말해, 국제법상 국가책임의 구성요소인 구속력 있는 국제의무와 이 와 관련된 행위규범을 유엔해양법협약 자체만으로는 확인하기 어렵다는 것이 다. 이에 이 논문에서는 COSIS에서 국제해양법재판소에 요청한 기후변화의 부 정적 현상에 대한 국가 책임의 권고적 의견과 관련하여 유엔해양법협약상 해양 환경보호를 위한 일반적 의무와 상당한 주의의무 등을 통해 유엔기후변화협약 등이 적용가능한지 살펴본다. 결론적으로 유엔해양법협약 제12부는 해양환경보호를 위한 일반적 의무를 당사국에게 부여하고 있고, 이 의무는 상당한 주의의무를 포함하여 협약 당사 국이 해수면 상승의 원인이 되는 온실가스 배출 등을 규제해야 하는 의무를 부 과하고 있다고 할 수 있다. 이러한 상당한 주의의무는 유엔해양법협약 제293조 와 함께 유엔기후변화협약을 참조할 수 있는 근거가 될 수 있어, 향후 국재해 양법재판소가 기후변화 및 해수면 상승 등에 대한 국가책임을 규명하는 근거 규정으로서 활용할 수 있을 것으로 판단된다. 그러나, 유엔해양법협약상 상당 한 주의의무는 본질상 각 국가의 여건과 상황에 따라 개별적으로 평가되고, 이 에 따라 요구되는 주의의무 정도가 달라지기 때문에, 향후 이러한 법적 문제를 해소하기 위해 관습국제법과 유엔기후변화협약상의 관련 연구가 더 이루어져 야 할 것으로 사료된다.

Microclimate analysis was conducted through actual measurement according to land use status in urban, and CFD analysis was conducted to analyze and predict the microclimate characteristics of urban, and compared and analyzed with the actual measurement results. It was measured in high-rise areas and parks, and the temperature of the park area was 0.4 to 0.6℃ lower, and the relative humidity was 1.0 to 3.0% higher. The correlation coefficient was obtained by comparing the results of the computational fluid analysis with the results of the computational fluid analysis at the actual location located within the CFD analysis area for validation. The seasonal correlation coefficients are all higher than 0.8, so it is judged that they can be applied to microclimate analysis in urban area. The computational fluid analysis was divided into three areas (low-rise, low and high-rise, and high-rise) centered on the A2 point. On average, the low-rise area was 0.1 to 0.4% higher than the high-rise area. In the low and high-rise area and high-rise area, the pith of buildings are wide, so the airflow is smooth, so it is judged that the temperature is relatively low.

남북관계는 여전히 교착되어 있다. 본 연구는 기후변화 시대를 맞아 남북 기후변화 공동대응을 위한 정책적 시사점을 전달하는 것에 목적을 둔다. 본 연구는 텍스트마이닝을 통해 북한의 기후변화 관련 보도를 분 석하였다. 분석 결과, 북한의 기후변화 대응은 국제협력과 지속적으로 연 계되고 있다는 점을 파악했고, 북한의 국제사회 발표자료를 중심으로 질 적연구를 진행하여 그 논의를 검증하는 절차를 거쳤다. 북한은 국제협력 을 통해 기후변화에 대응하고자 하며, 산림보호를 통한 기후변화 대응을 강조하고 있다. 따라서 남북 기후변화 공동대응을 위해서는 우선적으로 남북산림협력을 통한 노력이 요구된다고 할 수 있다. 본 연구는 김정은 시기 북한의 산림 논의와 북한 산림 보도의 특징을 분석하기 위해 텍스 트마이닝을 다시 수행하며 남북교류협력 추진을 위한 시사점을 도출하였 다. 이를 통해, 본 연구는 국제사회의 대북제재로 인해 남북협력의 한계 가 있는 현 상황에서, 실현가능한 협력사업으로 인도주의적 사업과 역량 강화, 능력배양 사업을 제언하였다.

PURPOSES : With the recent enactment of the 「Framework Act on Sustainable Infrastructure Management」 in Korea, the establishment of mid- to long-term management plans for social infrastructure and the feasibility evaluation of maintenance projects have become mandatory. To this end, the life cycle cost analysis is essential. However, owing to the absence of a deterioration model, trials and errors are in progress. METHODS : In this study, a deterioration model was established for bridges, which are the representative social infrastructures of roads, particularly for expansion joints that can cause enormous damage to not only the superstructure but also the substructure. The deterioration model was classified into rubber and steel, based on the material of the expansion joint. The analysis used the inspection and climate data conducted in Korea over the last 12 years. The Bayesian Markov Hazard model was applied as the analysis technique. RESULTS : The average life expectancy by type of expansion joint was analyzed to be 8.9 and 6.6 years for rubber and steel, respectively. For probabilistic life cycle cost analysis, the probability distribution of the life expectancy, validity range by confidence level, and Markov transition probability matrix were presented. CONCLUSIONS : In this study, the basis for deterministic and probabilistic life cycle cost analysis of expansion joints was laid. In future studies, it will be necessary to establish a standardized deterioration model for all types of infrastructure, including all bridge elements.

생물환경조절학회지 31권 4호에 게재된 논문의 사사가 잘못 기재되어 있어 바로 잡습니다.

In order to develop greenhouse cooling and water saving technologies suitable for desert climate, the performance evaluation of the cooling packages and condensate water recovery from cooling fan coil unit. As a result of the application for tomato greenhouse in summer, the root zone temperature of root zone cooling+duct cooling case and root zone cooling case was 25℃ during the day and 20℃ at night, which was suitable for tomato growth. When the nutrient solution tank was cooled, the temperature of the nutrient solution was maintained at 20 degrees, but otherwise, the temperature exceeded 30℃, causing the root zone temperature to rise. Condensate water recovery per fan coil unit was 93L on average per day in August, and was proportional to relative humidity in greenhouse and temperature difference between dew point temperature and the surface temperature of heat exchanger. Tomato growth was found to be improved in the order of root zone cooling+duct cooling, root zone cooling, duct cooling and control. It was analyzed that the yield of root zone cooling+duct cooling, root zone cooling and duct cooling increased by 35%, 28% and 11%, respectively, compared to the control.

Climate change due to global warming causes a rise in atmospheric air temperature to rise and extreme shift in precipitation patterns. Carbon dioxide (CO2) is widely known as one of the major cause of global warming and accounts for about 72% of total greenhouse gas emissions. Agriculture is more vulnerable to climate change than other industries. Many studies have been conducted to investigate how agroecosystems, both natural and controlled, will respond to the rising level of CO2. Studies on the responses of crops and agricultural environments to climate change are crucial in predicting changes in agro-ecosystems. Research facilities for various types of CO2 treatment have been developed. The representative research facilities are SAR (Soil-Plant-Atmosphere-Research), OTC (Open Top Chamber), FACE (Free Air CO2 Enrichment System), and TGC & CTGC (Temperature Gradient Chamber & CO2-Temperature Gradient Chamber). Therefore, this study reviewed research data and their application in agriculture.

Micro-climate measurements and computational fluid analysis were conducted to use it as basic data for the preservation and management of the old house of Kim Myung-kwan, a traditional building that is National Folk Cultural Property No. 26. As a result of the actual measurement, the temperature and humidity are relatively evenly distributed indoors unlike outdoors, but the temperature and humidity vary depending on the time change and the installation location in the outdoors. It was found that the temperature increases after dawn and the temperature varies depending on the installation position around 14:00–15:00, when the temperature becomes the highest. In particular, the temperature was high at the outdoor measurement point adjacent to the building and the fence. As a result of the computational fluid analysis, the temperature was high in the buildings and fences in the old house or in the area adjacent to the building, and it was about 1℃ higher than the surrounding area. In this area, it is judged that the thickening of wood will occur more severely than in other locations, and special preservation management is required.

국내외로 첨단 ICT 융합기술이 농업 분야에 적용되기 시작 하면서, 시설원예 설비들이 고도화되고, 스마트팜 구축 기술 및 인력이 축적되기 시작하였다. 그러나 우리나라 농촌의 경 우, 농업생산 연령의 고령화, 국내 농촌 인구의 지속적인 유출, 저출산 등으로 인하여 스마트팜 확대 및 적용에 어려움이 많 은 실정이다. 따라서 공간 및 시간에 구속을 받지 않는 간편한 농업인 교육 프로그램이 필요하며, 최근 부상하고 있는 시뮬 레이션 기술을 활용한다면 농업 교육용 시뮬레이션 툴 개발도 가능할 것으로 판단된다. 온실 환경 제어 모델을 이용한 시뮬 레이션은 다양한 지역과 기상 조건 하에서 대상 온실의 열과 물질에너지의 상호작용을 합리적으로 예측할 수 있게 해준다. 본 연구에서는 온실 환경 제어 모델을 활용하여 외부 기상 데 이터를 통해 온실의 환경 변화를 예측하고 가상의 환경 제어시스템을 통해 환경 제어 시 필요한 에너지값들을 시뮬레이션 할 수 있었다. 이러한 결과를 통해 이용자가 직접 맞춤형 환경 제어를 할 수 있도록 편의성을 고려한 사용자 인터페이스를 구축할 것이며, 실제 파프리카 재배 온실의 제어 요소들을 반 영할 수 있도록 설계될 것이다. 농업용 교육 시뮬레이션 툴을 최근 활발하게 연구가 이루어지고 있는 작물 생육 모델링 기 술 및 전산유체역학 기술과 융합하면 더욱 타당한 결과를 보 일 것이다.