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.

As the impacts of climate change have been emerged all the way through society, the potential risks specifically on agricultural water and facilities are recently getting concerned. Evaluating vulnerability of agriculture to climate change on is a time-tested strategy. While a number of researches on the adaption and mitigation of climate change were performed in various aspects for sustainable agricultural production, the vulnerability of management system for agricultural water and infrastructure has not been investigated yet. This study is aimed to clarify the definition of vulnerability to climate change, find the major indicators able to presume the vulnerability, and finally determine the relative importance of the indicators based on the specialist questionnaire survey and its analyses. The lists of indicators for major parts of agricultural water management such as, water use, flood control, reservoir related issues, and pumping and drainage systems are initialized referring to the related precedent studies. The primary survey was conducted in the form of Delphi to complement the list and methods and the main survey was then conducted using AHP(Analytic Hierarchy Process) technique to quantitatively prioritize the indicators. The results derived in this study would be directly adopted in weighting importance of indicators to investigate the indicator-based vulnerability analysis to climate change in agricultural water and infrastructure management.

In recent years, the proportion of arable land in the nation has grown from 36.2 percent in 1990 to 43.7 percent in 2013. The study first performed the vulnerability assessment of agricultural production, transportation, processing facilities, agricultural machinery leasing facilities, and water supply facilities. It was developed for the evaluation of the vulnerability of each gun of garlic and onions based on the distance from the three groups of arable bodies to the facility and the processing capacity of facilities. In view of these regional imbalances, the store, distribution and processing facilities in the main stream were found in Haenam, South Jeolla-do, and the relatively low regions of the gun were located in Goheung-gun and Hampyeong-gun. Among other regions, agricultural machinery rental facilities were high in Changnyeong-gun, Haenam, and two regions, while the water supply facilities were high in the southern area of Haenam and South Jeolla-do. The Gyeongsang-do showed relatively high levels of comparison vulnerability index compared to Jeolla-do regions. In particular, through the management plan to improve the facilities needed to improve agricultural production infrastructure, it is necessary to increase the competitiveness of agricultural productuivity through the planning of the need for additional support through the rural readjustment project.