The study analyzed performance assessment factors of VOCs odor sensors from 3 different manufacturers, such as minimum detection limit, humidity stability and temperature stability. Through the minimum detection limit assessment, it was found that a VOCs sensor was able to detect TVOCs at the concentration of 5 ppb. The standard deviation ratio was over 10%, and it increased as humidity rose. The range of temperatures in which the VOCs odor sensor using photoionization could operate was between 25oC and 40oC, and the sensor output values were unstable at low temperatures. In terms of the temperature stability of the metal oxide semiconductor sensor for measuring complex odors, the sensor output values dropped considerably to 0~10oC, and were similar to the concentrations of odorous gases generated at 25oC. The results of the test of VOCs odor sensor outputs after temperature and humidity pre-treatment revealed that the respective stable output values at 50% humidity and 25oC were similar to the concentrations of manufactured odors. In terms of temperature and humidity stability of the VOCs odor sensors, all target VOCs substances had stable output values at 25oC to 40oC and at 50% to 65% relative humidities, and unstable values at low temperatures and high humidities. Therefore, the implementation of pre-treatment systems including temperature and humidity correction (25~40oC, 50~65% RH) is required for the stable use of VOCs odor sensors.

The study analyzed performance assessment factors of odor sensors from 4 different manufacturers, including minimum detection limit, humidity stability and temperature stability. In the minimum detection limit assessment, only one electrochemical gas sensor was able to detect ammonia and hydrogen sulfide at the concentration of 5 ppb. The standard deviation ratio was over 10%, and it increased as humidity rose. The range of temperatures in which the electrochemical and photoionization gas sensors could function well was between 25oC and 40oC, and the sensor output values were unstable at low temperatures. Regarding the temperature stability of the metal oxide semiconductor sensor for measuring complex odors, the sensor output values dropped considerably to 0~10oC, and were similar to the concentrations of odor gases generated at 25oC. The results of the test of odor sensor outputs after temperature and humidity pre-treatment revealed that the respective stable output values at 50% humidity and 25oC were similar to the concentrations of manufactured odors. In terms of temperature and humidity stability of the NH3, H2S and Complex odor sensors, all target substances had stable output values at 25~40oC and 50~65% relative humidity, and unstable values at low temperatures and high humidity. Therefore, implementing pretreatment systems including temperature and humidity correction (25~40oC, 50~65% RH) is necessary for the stable use of odor sensors.

In this study, odor sensors were evaluated in two areas, which were reproducibility of measurements and linearity and correlation of results. The evaluation of linearity and correlation showed that the linearity of the measurement object substance at low, medium and high concentrations of all intervals, and correlation (R2) also appeared to be quite high, at 0.8 to 0.9. Specific performance evaluation results of ammonia, hydrogen sulfide, TVOC and complex odor sensor to the individual substances are somewhat different, but the result have able tendencies. All odor sensors showed detectable in all metrics at 5 ppb concentration in temperature 25oC, humidity 50%. However, there is needs to be determined that in many cases the standard deviation is 10% or more in 5 ppb, and reproducibility appears in the high concentration region with a standard deviation of less than 10%. Because complex odor sensor (MOS sensor) output value is relatively accurate concentration value for the odor and the reaction was stable, MOS sensor is to be considered methods for measuring the complex odor. Reactivity of ammonia, hydrogen sulfide and TVOC odor sensor to the concentration of individual odor substances stably displayed, but the reactivity of the mixture material showed the same trend, however, the hydrogen sulfide and TVOC sensor reactivity were unstable. There is thus a need to maintain the proper temperature and humidity environmental operating condition of odor sensors.

In this study, a correlation analysis of odor was performed in order to assess the reliability and the field applicability of the Odorous gas sensor for continuous real-time monitoring. Hydrogen sulfide was found to have a correlation of 41.5~65.8%, and Ammonia is was found to have very low correlation in less than 200 ppb concentration. Reactivity evaluation result, hydrogen sulfide is the reactivity was higher than the low concentration condition of 100 ppb or less indicated by 31.3~36.4% in the 100 ppb or more high density condition based on the reference density value. For ammonia was very low reactivity in the low-concentration conditions below 200 ppb. TVOC and composite odor assessment did not occur Reactivity no reference concentration value, the specific comparison between both sensors showed a similar trend. In the same Odorous gas sensor accuracy between the result, 40.3~130.6% hydrogen sulfide, ammonia, 69.1~104.9%, TVOCs is 24.7~98.6%, exhibited human odor intensity from 5.5~33.2%.

본 연구에서는 울릉도 온실기체 관측장비(CRDS)에서 관측된 CO2와 CH4 농도를 정형화된 QA·QC 처리절차를 통해 온실기체 평균 배경대기 농도값으로 활용하기 위한 정확도를 향상시켰다. QA·QC 처리절차는 총 3단계로 구성되었다. 첫 번째는 관측자료의 시간별 평균값을 구하기 위한 물리적 한계검사, 기후범위 검사 및 1시간 측정 자료수가 50% 이하인 자료는 제외시키는 과정으로 이루어져 있다. 두 번째는 일평균자료 산출을 위한 단계검사, 앞뒤로 같은 값일 경우는 제외, 하루 중 관측횟수가 15회 이상 및 일관측 자료의 표준편차가 일표준편차 평균의 3배 이하인 자료만 허용하는 과정이다. 세 번째는 기후적 특성분석 활용을 위한 Curve-fitting methods를 이용한 FFT 적용단계이다. 이상의 QA·QC 절차에 의한 CO2 및 CH4의 월평균농도 값을 안면도 지구대기감시센터 자료와 일본 료리 관측자료와 비교 분석한 결과 CO2에 있어서는 울릉도 관측자료 누락에 의한 영향이 다소 크게 나타나 안면도 관측값이 배경대기 평균농도 값으로 유효하였고, CH4는 안면도 보다 오히려 울릉도 관측값이 한반도 배경대기 평균농도 값으로 더 적절한 것으로 추정되었다.

본 연구는 온실내에서 퇴비발효 과정중에 발생하는 암모니아가스의 동태와 퇴비발효에 수반되는 환경의 변화가 토마토의 생육에 어떠한 영향을 미치는지 구명하고자 관행온실과 퇴비발효온실의 환경변화를 추적하면서 토마토의 생장과 수량 및 과일의 품질을 비교하였다. 1. 온도는 난방기에 의해 일정온도로 유지되도록 설정하였고 주간에는 25℃이상에서 환기를 하였기 때문에 두 온실간의 차이가 없었다. 2. 퇴비발효온실 지중 l0cm 깊이의 지온은 관행온실보다 주간 약 7℃, 야간 약 10℃ 높았으며, 지중 30cm 깊이의 퇴비발효온실의 지온은 관행온실의 지온보다 약 10-15℃ 높았다. 3. 발효시작후 2, 3, 4, 5, 및 6일째의 암모니아가스 휘산농도는 각각 5.4, 13.3, 114, 114.7 및 117.3ppm으로 상승하였다. 발효후 7, 8, 9, 10, 11, 12, 13 및 14일 째에는 각각 79.3, 41, 41, 54.7 10.7, 20, 82 및 27ppm으로 발효 7일째부터 낮아져서 8일 이후에 현저히 감소하였다. 발효 16일째에는 15.7ppm으로 낮아졌으나 작물에 따라서는 8ppm에서도 암모니아가스 장해를 받을 수 있으므로 본 실험과 같은 조건으로 발효를 시키는 퇴비발효온실에서의 작물 정식은 발효시작 후 약 3주 이후가 되어야 할 것으로 판단되었다. 4. 관행온실내의 탄산가스 농도는 450ppm 내외인데 비해 퇴비발효온실내의 농도는 발효 후 1개월까지는 약 2500ppm 이상까지 높아졌으며 발효가 시작된 2개월까지는 무환기시 약 1000-1500ppm을 유지하였으며 2개월 이후부터 4개월까지는 약 700-1000ppm이 유지되었다. 5. 주근장을 제외하고는 전체적으로 관행온실보다 퇴비발효온실에서의 토마토 생육이 양호하였다. 특히 경경의 경우 정식 1개월 후부터 그 차이가 뚜렷하게 나타났으며 2개월 후에는 직경 약 1cm의 차이가 나타났다. 엽, 경, 근의 생체중 및 건물중도 생육이 진전됨에 따라 퇴비발효온실에서 현저히 증가하였다. 방울토마토의 경우 개화수와 착과수는 퇴비발효온실에서 높았으며 과중은 거의 비슷하거나 낮았다. 그러나 일반토마토의 경우는 모든 항목이 퇴비발효온실에서 높게 나타나 그 효과가 현저하였다. 퇴비발효온실 방울토마토의 총수확과수와 수확총중량은 생육이 진전됨에 따라 관행온실보다 많아졌으며 일반토마토에서는 그 경향이 현저하였다. 6. 퇴비발효온실에서 재배된 방울토마토의 평균당도는 8.5-9.2인 반면 관행온실에서 재배된 방울토마토의 당도는 7.0-9.0으로 나타났으며 일반토마토의 경우 퇴비발효온실에서의 당도가 6.5-7.5인 반면 관행온실에서는 5.9로 나타나 퇴비발효온실 토마토의 당도가 약 1도 정도 높아졌다.

최근에 자원, 에너지문제, 환경문제, 도시문제등 인간생존과 번영을 저해하는 문제가 속출하고 있어 이러한 제 문제를 해결 할 수 있는 혁신적인 기술 개발이 요구되고 있다. 농업생산에 있어서 에너지 절약 및 대체에너지(자연에너지, 바이오에너지 및 폐기물에너지)의 기술개발은 화석에너지 사용에 따른 지구환경 악화 방지 뿐만 아니라, 자연과 조화된 고품질, 고부가가치의 농축산물 생산활동에 크게 기여 할 것으로 사료된다.(중략)

A comparison of ozone simulations in the seoul metropolitan region (SMR) using the community multiscale air quality (CMAQ) model with SAPRC99 and CB05 chemical mechanisms (i.e. EXP-SP99 and EXP-CB05) has been conducted during four seasons of 2012. The model results showed that the differences in average ozone concentrations between the EXP-SP99 and EXP-CB05 were found to be large in summer, but very small in the other seasons. This can be attributed that the SAPRC99 tends to produce more ozone than the CB05 in urban area like the SMR with low VOC/NOx ratio under high ozone conditions. Through quantitative comparison between two mechanisms for the summer, it was found that the average ozone concentrations from the EXP-SP99 were about 3 ppb higher than those from the EXP-CB05 and agreed well with the observations. Horizontal differences in ozone concentrations between SAPRC99 and CB05 showed that significant differences were found in southern part of the SMR and over the sea near the coast in summer.

In order to improve the prediction of the regional air quality modeling in the Seoul metropolitan area, a sensitivity analysis using two PBL and microphysics (MP) options of the WRF model was performed during four seasons. The results from four sets of the simulation experiments (EXPs) showed that meteorological variables (especially wind field) were highly sensitive to the choice of PBL options (YSU or MYJ) and no significant differences were found depending on MP options (WDM6 or Morrison) regardless of specific time periods, i.e. day and night, during four seasons. Consequently, the EXPs being composed of YSU PBL option were identified to produce better results for meteorological elements (especially wind field) regardless of seasons. On the other hand, the accuracy of all simulations for summer and winter was somewhat lower than those for spring and autumn and the effect according to physics options was highly volatile by geographical characteristics of the observation site.

The Government had devised legislation of Special Act and drew up guidelines for improving air quality in Seoul Metropolitan area. In 2007 local government of Seoul, Incheon and Gyeonggi conducted the results of application policy by reduced air pollutants emission for the first time. Although there was reduction of air pollutant emission in each local government, it was ineffective as expected using air pollution monitoring database. Therefore we worked out a way to prepare modeling input data using the results of enforcement plan. And we simulated surface NO_2 and PM10 before and after decrease in air pollutants emission and examine reduction effects of air pollution according to enforcement regulation except other influence, by using MM5-SMOKE-CMAQ system. Each local government calculated the amount of emission reduction under application policy, and we developed to prepare input data so as to apply to SMOKE system using emission reduction of enforcement plan. Distribution factor of emission reduction were classified into detailed source and fuel codes using code mapping method in order to allocate the decreased emission. The code mapping method also included a way to allocate spatial distribution by CAPSS distribution. According to predicted result using the reduction of NOx emission, NO_2 concentration was decreased from 19.1 ppb to 18.0 ppb in Seoul. In Gyeonggi and Incheon NO_2 concentrations were down to 0.65 ppb and 0.68 ppb after application of enforcement plan. PM10 concentration was reduced from 18.2 ㎍/㎥ to 17.5 ㎍/㎥ in Seoul. In Gyeonggi PM10 concentration was down to 0.51 ㎍/㎥ and in Incheon PM10 concentration was decreased about 0.47 ㎍/㎥ which was the lower concentration than any other cities.

The objectives of this study were to measure ambient total gaseous mercury (TGM) concentrations in Seoul, to analyze the characteristics of TGM concentration, and to identify of possible source areas for TGM using back-trajectory based hybrid receptor models like PSCF (Potential Source Contribution Function) and RTWC (Residence Time Weighted Concentration). Ambient TGM concentrations were measured at the roof of Graduate School of Public Health building in Seoul for a period of January to October 2004. Average TGM concentration was 3.43±1.17 ng/㎥. TGM had no notable pattern according to season and meteorological phenomena such as rainfall, Asian dust, relative humidity and so on. Hybrid receptor models incorporating backward trajectories including potential source contribution function (PSCF) and residence time weighted concentration (RTWC) were performed to identify source areas of TGM. Before hybrid receptor models were applied for TGM, we analysed sensitivities of starting height for HYSPLIT model and critical value for PSCF. According to result of sensitivity analysis, trajectories were calculated an arrival height of 1000 m was used at the receptor location and PSCF was applied using average concentration as criterion value for TGM. Using PSCF and RTWC, central and eastern Chinese industrial areas and the west coast of Korea were determined as important source areas. Statistical analysis between TGM and GEIA grided emission bolsters the evidence that these models could be effective tools to identify possible source area and source contribution.

This study were to simulate major criteria air pollutants and estimate regional source-receptor relationship using air quality prediction model (TAPM ; The Air Pollution Model) in the Seoul Metropolitan area. Source-receptor relationship was estimated by contribution of each region to other regions and region itself through dividing the Seoul metropolitan area into five regions. According to administrative boundary, region Ⅰ and region Ⅱ were Seoul and Incheon in order. Gyeonggi was divided into three regions by directions like southern(region Ⅲ), northern(Ⅳ) and eastern(Ⅴ) area. Gridded emissions (1km×1km) by Clean Air Pollicy Support System (CAPSS) of National Institute of Environmental Research (NIER) was prepared for TAPM simulation. The operational weather prediction system, Regional Data Assimilation and Prediction System (RDAPS) operated by the Korean Meteorology Administration (KMA) was used for the regional weather forecasting with 30km grid resolution. Modeling period was 5 continuous days for each season with non-precipitation . The results showed that region Ⅰ was the most air-polluted area and it was 3～4 times more polluted region than other regions for NO2, SO2 and PM10. Contributions of SO2 NO2 and PM10 to region Ⅰ, Ⅱ and Ⅲ were more than 50 percent for their own sources. However region Ⅳ and Ⅴ were mostly affected by sources of region Ⅰ, Ⅱ and Ⅲ. When emissions of all regions were assumed to reduce 10 and 20 percent separately, air pollution of each region was reduced linearly and the contributions of reduction scenario were similar to those of base case. As input emissions were reduced according to different ratio - region Ⅰ 40 percent, region Ⅱ and Ⅲ 20 percent, region Ⅳ and Ⅴ 10 percent, air pollutions of region Ⅰ and Ⅲ were decreased remarkably. The contributions to regionⅠ, Ⅱ, Ⅲ were also reduced for their own sources. However, region Ⅰ, Ⅱ and Ⅲ affected more regions Ⅳ and Ⅴ. Shortly, graded reduction of emission could be more effective to control air pollution in emission imbalanced area.