Since 2010, the Odor Prevention Act has identified and regulated four types of fatty acids as substances that cause odors. Four types of fatty acids are contributors to odor pollution and are sensitive to changes in temperature and humidity. However, the current analysis method has several limitations, including dependency on the timing of sampling before and after the procedure, as well as dependency on the specific analysis method employed. The aim of this study is to assess the efficacy of the ion chromatography analysis method by utilizing ultrapure distilled water as a means to improve the current approach. Initially, the analysis system underwent a quality assessment. The results indicated a linearity (R2) of 0.99, a limit of 10 nmol/mol or lower, supporting the conclusion that it is suitable. Furthermore, the investigation focused on the substance’s tendency to change over time in ultrapure water and under alkali absorption (0.01N NaOH). At a concentration of 0.95 ng (low-concentration standard sample), the confirmed peak area values ranged from 0.0004 μg/min to 0.0010 μg/min, resulting in an injection variation of approximately ± 0.001. At 23.7 ng (high-concentration standard sample), the peak area value fluctuated between 0.008 μg/min and 0.013 μg/ min, with an average of ± 0.002. Therefore, storing the material at temperatures below 4°C for up to 3 days (72 hours) after manufacturing seemed to facilitate the optimal conditions for maintaining its stability without significant changes taking place. Finally, blank samples from the laboratory, equipment, and site were analyzed. Out of the four substances analyzed, only n-butyl acid was detected in all three background samples. It was confirmed that it represented 4% of the peak area in the 4.94 ng standard sample.

PURPOSES : This study analyzed the amount of fuel consumption and atmospheric emissions by type of asphalt concrete mixtures. METHODS : Asphalt concrete mixture was produced directly at the plant, fuel consumption was measured compared to daily production, and atmospheric emissions emitted during the production process were measured. Hot and warm asphalt mixtures were produced, and analyses were conducted according to weather conditions and production volume. RESULTS : The fuel use per ton was confirmed to reduce energy by approximately 23.5% in WMA compared to HMA due to differences in the production temperature during the production of asphalt mixtures. Additionally, HMA production yielded 1.6 times higher atmospheric emissions for CO2 and 3.8 times higher for NOx than that for WMA, indicating that CO2 and NOx emissions tended to increase as fuel consumption increased. CONCLUSIONS : When producing asphalt mixtures, the production temperature, production volume, atmospheric conditions, and site conditions have a significant impact on fuel usage and atmospheric emissions.

In order to determine the future direction of Busan City’s tree planting policy in accordance with changes in automobile fuel and air pollutants, this study selected representative tree species planted in Busan and identified the biogenic volatile organic compounds (BVOCs) emission rate and characteristics of each species. First, representative tree species were selected for each street tree species, forest tree species, and park tree species, and the emission rate and major components of BVOCs were investigated for each tree species. Furthermore, by comparing the ozone generation potential (POCP) for each tree species, tree species with a low emission rate were selected. According to the POCP comparison, P. yedoensis, G. biloba, Z. serrata and C. retusus were selected as roadside tree species, P. densiflora and C. obtusa as forest species, and A. palmatum, C. japonica, and Q. myrsinaefolia were deemed suitable for park species. However, in the case of P. occidentalis, Quercus, and M. glyptostroboides, the emission rates of BVOCs were found to be high. Despite this, these tree species were found to display excellent CO2 absorption and carbon storage. The concentration of NOx in the city center is likely to decrease due to the current trend of transitioning to eco-friendly cars worldwide, resulting in less cars that rely on fossil fuels. Therefore, in the current climate where NOx emissions are still high, planting tree species with a low BVOCs emission rate would be an optimal approach. On the other hand, if the NOx concentration in the city is found to be very low due to changes in automobile fuel use, planting tree species with excellent BVOCs emission capacity and CO2 absorption would be ideal.

Yeosu National Industrial Complex is one of Korea’s representative petrochemical industrial complexes where crude oil refining and petrochemical companies are concentrated. According to the results of the 2021 chemical emissions survey, during the process of manufacturing, storage, and transportation at the Yeosu National Industrial Complex, various hazardous chemicals, including hazardous air pollutants, volatile organic compounds and odorous substances are being emitted into the air, affecting the surrounding environment and the health of residents. The Ministry of Environment is applying strengthened standards by designating the Yeosu National Industrial Complex as an air conservation special measure area and establishing odor management areas to manage the air environment. Nevertheless, odor complaints continue to be registered and related complaints increase when turnaround work is carried out. Since air emissions are not counted during periods of turnaround as normal operations are temporarily suspended, it was difficult to establish policies to reduce odor complaints because the source of emissions and emission quantities cannot be ascertained with certainty. In this study, the extensive Yeosu National Industrial Complex was subdivided into 4 areas using a mobile vehicle equipped with PTR-ToF-MS capable of real-time analysis without sample pretreatment being carried out. Measurements were repeated during the day, night, and dawn while moving around the internal boundary of the plant and the boundary of each region where turnaround activities were being carried out. As a result, the recorded measurement for acrylonitrile was the highest at 6340.0 ppb and propyne and propene were measured the most frequently at 128 times each. Based on these results, it will be possible to help reduce emissions through process improvement by efficiently operating air measurement networks and odor surveys that conduct regular measurements throughout the year and providing actual measurement data to the plant. Also, it will help reduce odor complaints and establish systematic air management policies.

전 세계적인 물 부족을 해결하기 위한 유망한 방법으로 수착제를 이용하여 공기 중에서 물을 수확하는 기술은 수 자원이 부족한 지역에서 식수를 전달할 수 있는 큰 잠재력을 보여주고 있음. 본 총설에서는 대기 중 물을 수확하기 위한 수 착제로 금속유기골격구조(MOF)를 사용하는 최근 연구에 대해 소개함. 제올라이트나 실리카 기반 물질과 같은 다른 수착제 물질에 비해, MOF는 상대습도 10% 부근에서 물 수착 곡선의 변곡점을 보이는 특성 덕분에 건조한 사막지역에서 물을 수확 하기에 적합한 특성을 가지고 있음. 이러한 특성으로 말미암아 최근 MOF를 이용하여 물을 수확할 수 있는 실용적인 물 수확 장치를 개발하기 위한 연구가 활발히 진행되고 있음. 이 기술은 전 세계 어느 곳에서나 지리 환경적 영향을 받지 않고 대기 중의 물에 접근할 수 있기 때문에, 미래 지속가능한 수자원 확보 기술 측면에서 새로운 패러다임을 제시할 것으로 기대됨.

1개월과 3개월 장기 예보를 지원하기 위해 기상청에서 현업운용 중인 GloSea6 기후예측시스템에는 대기 중 대 기화학-에어로졸 물리과정(UKCA)이 연동되어 있지 않다. 본 연구에서는 저해상도의 GloSea6와 여기에 대기화학-에어로 졸 과정을 연동시킨 GloSea6-UKCA를 CentOS 기반 리눅스 클러스터에 설치하여 2000년 봄철에 대한 예비적인 예측 결과를 살펴보았다. 현업 고해상도 GloSea6 모델이 방대한 전산자원을 필요로 한다는 점을 고려할 때, 저해상도 GloSea6와 GloSea6-UKCA 모델은 대기화학-에어로졸 과정의 연동에 따른 효과를 살펴보기에 적합하다. 저해상도 GloSea6와 GloSea6-UKCA는 2000년 3월 1일 00Z부터 75일 간 구동되었으며, 두 모델이 예측한 2000년 4월 지상 기온과 일평균 강수량의 공간 분포를 ERA5 재분석자료와 비교하였다. GloSea6-UKCA가 예측한 기온과 강수 분포는 기존 GloSea6에 비해 ERA5 재분석자료에 보다 더 유사해졌다. 특히 우리나라를 포함한 동아시아 지역에 대해 과대 모의 경 향이 있던 봄철 지상 기온과 일평균 강수량의 예측 결과의 개선이 주목할 만하다. 또한 적분 시간에 따른 예측된 기온 과 강수량의 시계열에서도 GloSea6-UKCA가 GloSea6보다 재분석자료에 더 가까워진 시간 변화 경향을 살펴볼 수 있었 다. 이는 대기화학-에어로졸 과정이 GloSea6에 연동되었을 때 동아시아지역 봄철 예측 성능이 개선될 수 있음을 보여준다.

Although many attempts have been made to solve the atmospheric diffusion equation, there are many limits that prevent both solving it and its application. The causes of these impediments are primarily due to both the partial differentiation term and the turbulence diffusion coefficient. In consideration of this dilemma, this study aims to discuss the methodology and cases of utilizing a passive air sampler to increase the applicability of atmospheric dispersion modeling. Passive air samplers do not require pumps or electric power, allowing us to achieve a high resolution of spatial distribution data at a low cost and with minimal effort. They are also used to validate and calibrate the results of dispersion modeling. Currently, passive air samplers are able to measure air pollutants, including SO2, NO2, O3, dust, asbestos, heavy metals, indoor HCHO, and CO2. Additionally, they can measure odorous substances such as NH3, H2S, and VOCs. In this paper, many cases for application were introduced for several purposes, such as classifying the VOCs’ emission characteristics, surveying spatial distribution, identifying sources of airborne or odorous pollutants, and so on. In conclusion, the validation and calibration cases for modeling results were discussed, which will be very beneficial for increasing the accuracy and reliability of modeling results.

폭발 수치해석 기법 중 Arbitrary Lagrangian-Eulerian(ALE)는 구조물의 파괴뿐만 아니라 폭발 이후 충격파의 전파 과정까지 관찰할 수 있는 장점이 있다. 그러나 동적 해석 시 유한요소 모델의 격자망 크기가 일정 수준 이하로 감소하게 되면 해석 결과의 신뢰도가 부 정확해진다. 본 연구에서는 ALE 수치해석 기법을 활용하여 대기의 격자망 크기가 해석의 정확도에 미치는 영향을 조사한다. 다양한 조건의 격자망 크기와 폭발 중량을 갖는 대기 중 폭발모델을 구축하고, 폭발 중심으로부터 거리에 따른 폭발압력을 관찰한다. 수치해 석과 실험에서 얻은 최대 폭발압력 결과에 대해 평균 제곱 오차를 계산하여 최적의 격자망 크기를 제안하고, 제안된 크기를 바탕으로 폭발물 중량과 대기의 최적 격자망 크기에 대한 상관관계를 분석한다. 본 연구는 다양한 중량을 가진 폭발물 해석에서 최적의 격자망 크기를 제공함으로써 신뢰성이 향상된 폭발 수치해석 모델 개발에 도움이 될 것으로 기대한다.

In this study, the performances of H2S, NH3, and HCl sensors for real-time monitoring in small emission facilities (4, 5 grades in Korea) were evaluated at high concentration conditions of those gases. And the proper approach for the collection of reliable measurement data by sensors was suggested through finding out the effect on sensor performances according to changes in temperature and humidity (relative humidity, RH) settings. In addition, an assessment on sensor data correction considering the effects produced by environmental settings was conducted. The effects were tested in four different conditions of temperature and humidity. The sensor performances (reproducibility, precision, lower detection limit (LDL), and linearity) were good for all three sensors. The intercept (ADC0) values for all three sensors were good for the changes of temperature and humidity conditions. The variation in the slope value of the NH3 sensor showed the highest value, and this was followed by the HCl, H2S sensors. The results of this study can be helpful for data collection by enabling the more reliable and precise measurements of concentrations measured by sensors.

This study was conducted to identify the optimal root zone temperature for paprika cultivation, with an aim to increase the heating and cooling energy efficiency and prepare for extreme weather conditions. The greenhouse air temperature was maintained at 20oC and 25oC during the daytime (12 hours) and at 18oC during the nighttime (12 hours). The plant height did not show any significant differences between the treatment with air temperature and root zone temperature. The root length was highest under an air temperature of 25oC with root zone temperatures of 25oC and 30oC, and it was the lowest at 15oC. The leaf number was the highest when the root zone temperature was adjusted to 25oC and 30oC across all air temperatures. The leaf area increased with higher root zone temperatures, but considering the compactness of the seedlings, a root zone temperature of 25oC was found to be the most effective. The fresh and dry weight of the shoot increased with higher root zone temperatures at an air temperature of 25oC, while the fresh and dry weight of the roots tended to be higher when the root zone temperature was adjusted to 25oC and 30oC across all air temperatures. The compactness was most effective when the root zone temperature was adjusted to 20oC and 25oCC across all air temperatures. Based on the above results, adjusting the root zone temperature to 25oC at an air temperature of 25oC was found to be effective for the early growth of Paprika. The results of this study suggest that not only can growth be promoted through the regulation of root zone temperature, but it also contribute to the establishment of root zone temperature control technology, which can prevent an excessive drop and rise in the root zone temperature.

YAG phosphor powders were fabricated by the atmospheric plasma spraying method with the spray-dried spherical YAG precursor. The YAG precursor slurry for the spray drying process was prepared by the PVA solution chemical processing utilizing a domestic easy-sintered aluminum oxide (Al2O3) powder as a seed. The homogenous and viscous slurry resulted in dense granules, not hollow or porous particles. The synthesized phosphor powders demonstrated a stable YAG phase, and excellent fluorescence properties of approximately 115% compared with commercial YAG:Ce3+ powder. The microstructure of the phosphor powder had a perfect spherical shape and an average particle s ize of a pprox imately 30 μm. As a r esult of t he PKG t est of t he YAG p hosphor p owder, t he s ynthesized phosphor powders exhibited an outstanding luminous intensity, and a peak wavelength was observed at 531 nm.

본 연구는 복잡한 도심주변의 지형과 다양한 배출원이 존재하고 있는 세종시 부강면과 조치원읍 일원을 대상으 로 대기오염 확산의 물리적인 특성을 분석하여 오염 물질의 확산을 가정했을 때의 특징을 분석하였다. 부강면의 경우 토지의 기복이 심한 전형적인 분지형지역으로서, 대기오염물질의 확산이 불량하여 대기 오염이 심화되는 지형상의 특성을 내포하고 있다. 지형조건의 특성상 강한 풍속으로 이류된 대기오염물질의 확산이 용이하지 않아 국지적으로 정체되 어 대기오염물질의 공간적 확산 보다는 정체에 의한 대기 환경 악화의 간접 요인이 될 수 있음을 나타낸다. 또한 이러 한 경우 지형적 가열율의 차이 등에 의한 급속한 온도 상승 경향이 나타날 가능성이 있어 향후 먼지 돔현상(dust dome) 등과 관련하여 오염물질의 확산과 관련한 정책제안에 있어서 세심한 논의가 필요하다. 고농도와 비고농도 사례 일을 분석했을 때 조치원읍의 경우 부강면에 비하여 주변 배출원의 영향이 다소 높은 상태이다. 또한 고농도과 비고농 도의 사례에 대한 분석에서 특정한 풍계에 따라 고농도일의 사례가 됨과 동시에 지형적으로 경사지에 속해 서쪽에서 이류된 오염물질이 쉽게 유입되는 상황으로 분석된다. 이러한 국지 지형에 따른 난류특성 변수들인 마찰속도(friction velocity), 확산속도(convective velocity), 현열 속(sensible heat flux) 등에 의한 연직 혼합고는 대기오염물질의 확산강도 에 중요한 요인임을 알 수 있었다. 이와 관련하여 배출원관리에 따른 논의가 부강면 사례에서 보다는 조치원읍에서 상 대적으로 필요함을 분석하였다.

This study was carried out to develop a system to reduce ultrafine dust using hygroscopic materials such as glycerin and propylene glycol. Prior to the development of an ultrafine dust reduction system, the moisture condensation efficiency of glycerin and propylene glycol was investigated based on relative humidity (RH). The results showed that when no substances (glycerin and propylene glycol) were added to a tedlar bag, the relative humidity and temperature remained constant. The moisture condensation efficiency of glycerin was 60%, and the time it took to reach 50% of the initial relative humidity was about 40minutes. In the case of propylene glycol, the moisture condensation efficiency was 75%, and the time it took to reach 50% of the initial relative humidity was about 10 minutes. When glycerin and propylene glycol mixture was added, the moisture condensation efficiency was 68% and it took 20 minutes to reach 50% of the initial relative humidity. These results suggest that hygroscopic materials such as glycerin and propylene glycol can actually condense moisture in the atmosphere. In addition, considering actual atmospheric conditions, the relative humidity was set to 60% and 40% or less, and the moisture condensation efficiency was measured. The results showed that the mixture of glycerin and propylene glycol yielded the highest condensation efficiencies, at 69% and 62%, respectively. Therefore, it is preferable to use a mixture of glycerin and propylene glycol to condense moisture in the range of relative humidity in the actual atmosphere.

PURPOSES : Due to the frequent occurrence of accidents on icy roads during nighttime, it would be advantageous to notify road managers and drivers about the most perilous areas. This would allow road managers to treat the icy roads with de-icing chemicals and enable drivers to be better prepared for potential hazards. Essential information about pavement temperature is required to identify icy spots on the road. METHODS : With the goal of estimating nighttime pavement temperature on the National Highways in Korea using atmospheric data, the current study investigated a widely recognized forecasting method known as deep neural network (DNN). To achieve this objective, the input data for the models were gathered from the weather agency's website. The dataset comprised of relative humidity, air temperature, dew point temperature, as well as the differences in air temperature and humidity between two consecutive days. RESULTS : In order to assess the effectiveness of the built DNN model, a comparison was made using baseline pavement temperature data gathered through an infrared-based pavement temperature sensor installed in a highway patrol car. The results indicated that the DNN model achieved a mean absolute error (MAE) of 0.42 and a root mean square error (RMSE) of 0.62. In comparison, a conventional regression model yielded an MAE of 2.07 and an RMSE of 2.64. Thus, the DNN model demonstrated superior performance in comparison to the conventional regression model. CONCLUSIONS : Considering the increasing focus on preventive maintenance, these newly developed prediction models can be implemented proactively as a preventive measure against icing. This proactive approach has the potential to significantly improve traffic safety on winter roads.

One-dimensional MgO nanostructures with various morphologies were synthesized by a thermal evaporation method. The synthesis process was carried out in air at atmospheric pressure, which made the process very simple. A mixed powder of magnesium and active carbon was used as the source powder. The morphologies of the MgO nanostructures were changed by varying the growth temperature. When the growth temperature was 700 °C, untapered nanowires with smooth surfaces were grown. As the temperature increased to 850 °C, 1,000 °C and 1,100 °C, tapered nanobelts, tapered nanowires and then knotted nanowires were sequentially observed. X-ray diffraction analysis revealed that the MgO nanostructures had a cubic crystallographic structure. Energy dispersive X-ray analysis showed that the nanostructures were composed of Mg and O elements, indicating high purity MgO nanostructures. Fourier transform infrared spectra peaks showed the characteristic absorption of MgO. No catalyst particles were observed at the tips of the one-dimensional nanostructures, which suggested that the one-dimensional nanostructures were grown in a vapor-solid growth mechanism.

2020년 6월부터 8월까지 일본 도쿄 남쪽 940 km 해상에 위치한 니시노시마 화산이 분화하였다. 2020년 7월 말 발생한 분화로 인한 화산재와 화산가스 일부가 우리나라에 영향을 주었을 가능성이 있는 것으로 보도되었다. 본 연구에 서는 화산재 확산 수치모의 프로그램인 Ash3D를 이용하여 현지시각 2 02 0년 7월 2 8일 0시에 화산폭발지수 3의 분화가 발생한 것으로 설정하고 수치모의를 실시하였다. 수치모의 결과, 화산재가 니시노시마 인근에서 동풍을 타고 7월 30일 새벽 오키나와에 도달한 이후 남풍을 타고 북상하여 8월 1일 제주도에 상륙하고 시계방향으로 회전하듯이 이동하면서 8월 2일에는 남부지방에 영향을 주는 것으로 나타났다. 실제 측정된 PM10 미세먼지농도는 제주도 고산기상관측소에서 8월 1일부터, 부산 구덕산기상관측소에서는 8월 2일부터 상승한 것으로 나타나 니시노시마 화산 분화가 제주도 및 남 부지방의 미세먼지 수치에 영향을 준 것으로 보인다.