본 연구는 국내에서 냉장보관창고 온도에 대한 조사를 수행하여, 온도분포를 추정하였고, 이를 미생물 위해평가의 입력변수로 활용할 수 있도록 적정 확률분포 모델을 제시하였다. 국내 냉장보관창고의 온도분포는 최저 $-3.2^{circ}C$, 최대 $14.9^{circ}C$, 평균 $2.55{pm}3.55^{circ}C$로 나타났고, $10^{circ}C$이상 비율은 2.5%로 나타났으며, 대부분의 냉장창고 온도는 설정온도보다 높은 것으로 나타났다. 공간 위치별 온도분포는 상단(2.4~4 m) $0.8{pm}1.69^{circ}C$, 중단(1.5~2.4 m) $0.59{pm}1.68^{circ}C$, 하단(0.7~1.5 m) $0.65{pm}1.46^{circ}C$로 중단 온도가 가장 낮았으며, 위치별 온도차이는 최대 $1.11^{circ}C$로 공간상에서 온도가 일정하게 유지되는 것이 아니라 어느 정도의 편차가 존재하는 것으로 나타났다. 이상의 수집된 온도자료는 @RISK 를 이용, 적합성 검정(GOF: K-S와 A-D test)을 수행하여, MRA에서 활용할 수 있는 국내 냉장창고 온도분포에 대한 가장 적합한 확률분포모델로 LogLogistic(-4.189, 5.9098, 3.2565)을 선정하였다.
This study was to present the proper probability distribution models that based on the data for surveys of food cold storage temperatures as the input variables to the further MRA (Microbial risk assessment). The temperature was measured by directly visiting 7 food plants. The overall mean temperature for food cold storages in the survey was $2.55{pm}3.55^{circ}C$, with 2.5% of above $10^{circ}C$, $-3.2^{circ}C$ and $14.9^{circ}C$ as a minimum and maximum. Temperature distributions by space-locations was $0.80{pm}1.69^{circ}C$, $0.59{pm}1.68^{circ}C$, and $0.65{pm}1.46^{circ}C$ as an upper (2.4~4 m), middle (1.5~2.4 m), and lower (0.7~1.5 m), respectively. Probability distributions were also created using @RISK program based on the measured temperature data. Statistical ranking was determined by the goodness of fit (GOF) to determine the proper probability distribution model. This result showed that the LogLogistic (-4.189, 5.9098, 3.2565) distribution models was found to be the most appropriate for relative MRA conduction.
