본 실험은 인진으로 쓰이는 사철쑥과 더위지기의 항미생물활성을 검정한 것으로 추출용매에 따른 항미생물활성은 gram양성균 3종과 gram음성균 2종 모두에서 ethylacetate 추출물들이 ether추출물들보다 전반적으로 높았다. 실험미생물 중 B. subtilis와 B. cereus에 대한 추출물들의 활성이 다른 실험미생물에 비하여 강하게 나타났으며 더위지기 추출물들이 사철쑥 추출물들에 비하여 높은 활성을 보였다. 추출용매에 따른 최소저해농도는 ethylacetate추출물이 ether추출물보다 낮은 농도에서 대부분의 미생물들의 생육을 억제하였고, 더위지기와 사철쑥 부위별로는 잎과 줄기에서 잎에 비하여 낮은 농도에서 미생물들의 생육을 억제하였으며 더위지기 추출물들의 최소저해농도가 사철쑥 추출물들보다 낮았다.총 폴리페놀함량은 사철쑥 잎과 줄기 추출물에서 27.57 mg/g으로 가장 높게 나타났으며 대체로 잎과 줄기 추출물에서 잎 추출물에서보다 높은 함량을 나타내었다.

The average ratio of the daily UV-B to total solar (75) irradiance at Busan (35.23˚N, 129.07˚E) in Korea is found as 0.11%. There is also a high exponential relationship between hourly UV-B and total solar irradiance: UV-B=exp (a× (75-b))(R2=0.9 0.93). The daily variation of total ozone is compared with the UV-B irradiance at Pohang (36.03˚N, 129.40˚E) in Korea using the Total Ozone Mapping Spectrometer (TOMS) data during the period of May to July in 2005. The total ozone (TO) has been maintained to a decreasing trend since 1979, which leading to a negative correlation with the ground-level UV-B irradiance doting the given period of cloudless day: UV-B=239.23-0.056 TO (R2=0.5 0.52). The statistical predictions of daily total ozone are analyzed by using the data of the Brewer spectrophotometer and TOMS in East Asia including the Korean peninsula. The long-term monthly averages of total ozone using the multiplicative seasonal AutoRegressive Integrated Moving Average (ARIMA) model are used to predict the hourly mean UV-B irradiance by interpolating the daily mean total ozone far the predicting period. We also can predict the next day's total ozone by using regression models based on the present day's total ozone by TOMS and the next day's predicted maximum air temperature by the Meteorological Mesoscale Model 5 (MM5). These predicted and observed total ozone amounts are used to input data of the parameterization model (PM) of hourly UV-B irradiance. The PM of UV-B irradiance is based on the main parameters such as cloudiness, solar zenith angle, total ozone, opacity of aerosols, altitude, and surface albedo. The input data for the model requires daily total ozone, hourly amount and type of cloud, visibility and air pressure. To simplify cloud effects in the model, the constant cloud transmittance are used. For example, the correlation coefficient of the PM using these cloud transmissivities is shown high in more than 0.91 for cloudy days in Busan, and the relative mean bias error (RMBE) and the relative root mean square error (RRMSE) are less than 21% and 27%, respectively. In this study, the daily variations of calculated and predicted UV-B irradiance are presented in high correlation coefficients of more than 0.86 at each monitoring site of the Korean peninsula as well as East Asia. The RMBE is within 10% of the mean measured hourly irradiance, and the RRMSE is within 15% for hourly irradiance, respectively. Although errors are present in cloud amounts and total ozone, the results are still acceptable.