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.

Using virtual reality technology, users can learn and experience many interactions in virtual space like the actual physical space. This study was conducted to develop air flow simulator that allows farmers and consultants to consult air flow through VR devices by creating a greenhouse or pigpen model. It can help educate farmers about the importance of ventilation effects for agricultural facilities. We proposed CFD visualization system by building a virtual reality environment and constructing database of CFD and structure of agricultural facilities. After consultants can set up situations according to environmental conditions, the users experience the visualized air flow of agricultural facility according to the ventilation effects. Also it can provide a quantified environmental distribution in the agricultural facility. Currently, the CFD data in agricultural facilities are established during winter and summer. In order to experience various environmental conditions in the developed system, The experts need to run CFD data under various environmental conditions and register them in the system requirements.

본 연구에서는, 농업생산시설내 환경조절을 위한 시뮬레이터의 기본 시스템을 구축하고, 실내환경을 조절하면서 실측치와 예측치를 비교함으로써 적용성을 검토하였다. 모델은 비정상상태의 에너지 및 물질수지에 근거하여 구축되었고, PCSMP를 사용하여 아날로그형 프로그램이 가능하였다. 본 연구의 결과를 요약하면 다음과 같다. 구축된 환경조절용 시뮬레이터의 기본시스템은 기본모델, 광환경모델, 환경제어모델로 구성되어서 상호 독립적인 개발이 가능하였다. 기본모델은 본 시스템의 주요 부분으로써 열환경모델, 재배모델, 환기모델, 토양모델, 탄산가스모델을 구성되었고, 환경제어모델은 보온커텐, 냉난방기 및 지중열 교환을 고려하였다. 실제로 환경조절이 실시되고 있는 온실의 주간 및 야간의 실내온도의 실측치와 모델에 의한 예측치를 비교한 결과, 비교적 잘 일치되어서 그 적용성이 확인되었다.

In this study, the sensitivity analysis of hydraulic conductivity and separation distance (distance between injection well and pumping well) was analyzed by establishing a conceptual model considering the hydrogeologic characteristics of facility agricultural complex in Korea. In the conceptual model, natural characteristics (topography and geology, precipitation, hydraulic conductivity, etc.) and artificial characteristics (separation distance from injection well to pumping well, injection rate and pumping rate, etc.) is entered, and sensitivity analysis was performed 12 scenarios using a combination of hydraulic conductivity (10-1 cm/sec, 10-2 cm/sec, 10-3 cm/sec, 10-4 cm/sec) and separation distance (10 m, 50 m, 100 m). Groundwater drawdown at the monitoring well was increased as the hydraulic conductivity decreased and the separation distance increased. From the regression analysis of groundwater drawdown as a hydraulic conductivity at the same separation distance, it was found that the groundwater level fluctuation of artificial recharge aquifer was dominantly influenced by hydraulic conductivity. In the condition that the hydraulic conductivity of artificial recharge aquifer was 10-2 cm/sec or more, the radius of influence of groundwater level was within 20 m, but In the condition that the hydraulic conductivity is 10-3 cm/sec or less, it is confirmed that the radius of influence of groundwater increases sharply as the separation distance increases.

As facilities performing the production, processing, preservation, and shipment of agricultural products; agricultural facilities are categorized into planting facilities and livestock facilities based on the management target. Agricultural facilities are set in farmlands, and facility users mainly complain about the legal or institutional restrictions on farm rather than their own facilities itself. From 2009 to 2012, the Ministry of Agriculture Food and Rural Affairs (MAFRA) published the "Casebook of farmer Complaints on Farmlands" in order to help answer farmers' questions and support public workers' workloads. However, contents related to agricultural facility installed in farmland are currently not dealt with in particular. Among agricultural facilities, demands of property rights with livestock facilities have risen due to construction permissions, operational restrictions, and high initial investment costs; and relevant laws were revised and are now being executed. However, for planting facilities such as mushroom facilities, ginseng facilities, and greenhouses; farmer complaints related to property rights are constantly increasing because revisions to relevant laws are not being made despite the rising diversity of construction materials through technical developments as well as the rising scale of assets-i.e. mechanization, automation, and the application of New Regeneration Energies according to capital influx. In this study, the current state of relevant agricultural facility legislation were organized and their drawbacks deduced in order to propose improvements of Agricultural Facility Legislation. The result of interviewing with public workers and farmers show that agricultural facilities should be regarded as extensions of farmlands rather than as facilities built in land where development actions were being taken. Alternatives able to reflect these opinions were suggested through expert consultation.

Temperature, relative humidity and ventilation are closely related one another, and they are the main factors to be controlled for the environmental control system of a storage facility. Conventional environmental control systems do not consider the interrelationship between temperature, relative humidity and ventilation, which results in low performance and high energy consumption. To overcome the inefficiency of the conventional ones, it was developed an on-off control system based on the interrelationship between the factors. The usefulness of the system was illustrated with the results produced by a set of experiments in a real world.