목적 : 미세먼지가 콘택트렌즈 착용자의 눈물막에 영향을 미치는지 알아보고자 미세먼지 농도 수준에 따라 콘 택트렌즈 착용 후 눈물의 양과 안정성의 변화를 평가하였다. 방법 : 안질환이 없고 안경과 콘택트렌즈를 모두 착용하는 20대 근시안 31명을 대상으로, 하루 8시간씩 하루 착용 소프트 콘택트렌즈(L사, 함수율 55%)를 착용하도록 하였다. 대상자는 OSDI 값을 기준으로 정상안과 건성안 으로 세분하여 분석하였다. 미세먼지 농도는 한국환경공단에서 제공된 값을 기준으로 좋음(0~30 ㎍/m³)과 나쁨 (51~100 ㎍/m³) 수준으로 구분하고, 미세먼지 농도가 좋음과 나쁨 수준인 날에 모두 눈물검사를 실시하였다. 눈 물양은 OCCUTUBE(OccuTech Co., LTD, Seongnam, Korea)로, 안정성은 침습성눈물막파괴시간(TBUT)과 비 침습성눈물막파괴시간(NIBUT)으로 평가하였고, 미세먼지 수준에 따른 비교는 SPSS version 21.0(SPSS Inc, Chicago, IL, USA)를 사용하여 분석하였다. 결과 : 미세먼지 나쁨 수준에서 눈물의 양과 안정성은 안경 및 콘택트렌즈 착용 시 모두 유의하게 감소하여(p＜.050), 건성안 범주의 값으로 측정되었다. 콘택트렌즈 착용은 미세먼지 좋음 수준에서도 안경착용과 비교하여 눈물양이 감소하였고, 미세먼지 나쁨 수준에서는 TBUT가 감소하였다. 특히 건성안에서는 미세먼지 나쁨 수준에서 콘택트렌즈를 착용한 경우에 정상안보다 TBUT가 유의하게 감소하였다. 결론 : 미세먼지는 눈물의 양과 안정성을 모두 감소시켜 건성안 유발요인으로 작용하는 것으로 사료되며, 미세 먼지 나쁨 수준에서 콘택트렌즈 착용은 눈물막 안정성을 나쁘게 하여 건성안의 경우 증상이 더욱 악화될 수 있으 므로 미세먼지 나쁨 수준인 날에는 건성안 예방을 위하여 안경착용을 권고해야 할 것으로 생각된다.

This study analyzed the health characteristics and comorbidity of adult men aged 40 years by dividing them into a control group of those without any disease related to fine dust and a patient group with one or more diseases related to fine dust in areas with high levels of fine dust pollution using the sixth and seventh Korea National Health and Nutrition Examination Survey (2013-2017). Among the general characteristics, the mean age of the patient group was significantly older than that of the control group (p<0.001), and in terms of the health-related characteristics, the frequency of breakfast consumption in the patient group was higher than in the control group (p<0.043). The body measurements were similar in the patient and control groups. Regarding the prevalence of comorbidity, the patient group showed a higher prevalence of hypertension, dyslipidemia, stroke, myocardial infarction, heart failure, and diabetes than the control group, but the differences were not statistically significant. On the other hand, the prevalence of other cancers (except stomach cancer, liver cancer, colorectal cancer, breast cancer, and cervical cancer) in the patient group was higher than in the control group (p<0.05). In terms of the clinical characteristics, the glycated hemoglobin levels in the patient group were significantly higher than in the control group (p<0.048). Information on nutrition and health in areas with frequent occurrences of fine dust was obtained through the study results, which can be used as basic data for measures of health and diet management against diseases that will increase in relation to fine dust.

본 논문은 버스정류장 미세먼지 저감을 위해 설계된 도로시설물의 성능평가 과정 및 결과를 보고한다. 먼저, 유한요 소해석 프로그램인 LS-DYNA를 이용하여 대상 구조물에 대한 충돌해석이 수행되었다. 해석변수로 차량의 속도와 충돌 위치를 고려한 다양한 조건에서의 구조해석이 진행되었다. 대상 시설물의 성능은 이 결과를 이용하여 구조적 성능과 충돌 후 차량의 안전성능이 평가되었다. 해석결과로부터 충돌속도가 증가하고 충돌위치가 전면으로 갈수록 시설물의 구조성능과 차량의 충돌 후 안전성능이 저하되는 것이 콘크리트의 손상량을 통해 확인되었다. 더불어 충돌 후 차량의 거동에 대한 분석을 통해 시설물에 연속되는 연석이 설치되면 차량의 이탈을 방지해 안전성능을 확보하는 것으로 예측되었다. 최종적으로, 대상 시설물은 설계 시 고려된 목표 충돌속도 25km/h보다 더 큰 40km/h까지 충분한 안전성능을 확보하고 있다는 것이 확인되었다.

PURPOSES : This study analyzes the characteristics of generated fine particulate matter (PM2.5) and nitrogen oxide (NOX) at roadsides using a statistical method, namely, a generalized linear model (GLM). The study also investigates the applicability and capability of a machine learning methods such as a generalized regression neural network (GRNN) for predicting PM2.5 and NOX generations. METHODS : To analyze the characteristics of PM2.5 and NOX generations at roadsides, data acquisition was conducted in a specific segment of roads, and PM2.5 and NOX prediction models were estimated using GLM. In addition, to investigate the applicability and capability of a machine learning methods, PM2.5 and NOX prediction models were estimated using a GRNN and were compared with models employing previously estimated GLMs using r-square, mean absolute deviation (MAD), mean absolute percentage error (MAPE), and root mean square error (RMSE) as parameters. RESULTS : Results revealed that relative humidity, wind speed, and traffic volume were significant for both PM2.5 and NOX prediction models based on estimated models from a GLM. In addition, to compare the applicability and capability of the GLM and GRNN models (i.e., PM2.5 and NOX prediction models), the GRNN model of PM2.5 and NOX prediction was found to yield better statistical significance for r-square, MAD, MAPE, and RMSE as compared with the same parameters used in the GLM. CONCLUSIONS : Analytical results indicated that a higher relative humidity and traffic volume could lead to higher PM2.5 and NOX concentrations. By contrast, lower wind speed could affect higher PM2.5 and NOX concentrations at roadsides. In addition, based on a comparison of two statistical methods (i.e., GLM and GRNN models used to estimate PM2.5 and NOX), GRNN model yielded better statistical significance as compared with GLM.

In this study, we evaluated the filtering effect of the fine dust mask. Our objective research has secured credibility in the private sector. The performance of domestic fine dust masks is evaluated by three dust collection efficiencies, inspiratory resistance, and leakage rate according to KF grade in the health mask standard guidelines issued by the Ministry of Food and Drug Safety. Based on this, eight types of fine dust masks were evaluated for dust collection efficiency and face intake resistance. All masks showed good performance as the collection efficiency was 90%. The higher the KF grade, the higher the collection efficiency, but the inspiratory resistance had no correlation with the grade. According to the manufacturer's operation method, masks below the standard value may be distributed. Masks that are currently on the market have shown results that can be trusted. However, we hope that the system will be improved to validate whether the masks that meet the threshold are still being distributed.

The cooking-generated particles are major indoor sources of air pollution. Recently, the performance of the range hood is focused on particle removal performance. Range hood with an auxiliary air supply system can improve the fine and ultrafine particles removal efficiency by making a supply air during cooking activities. The particles were measured in the experimental building by varying ventilation types. Only operating range hood during the cooking activities was not enough to reduce the cooking-generated particles. Despite operating range hood systems, fine and ultrafine particle concentrations were maintained when cooking was finished. The range hood with a make-up air supply system can reduce the indoor particle concentration below background conditions when those systems were operated after cooking. In this study, the assessment of cooking-generated particle removal efficiency of the range hood with an auxiliary air supply system was conducted. The removal efficiency of ultrafine particles showed trends similar to the removal efficiency of fine particles.

PURPOSES : Over the years, the concentration of fine dust is gradually increasing, thereby aggravating the seriousness of the situation. Accordingly, this study intends to install a clean road system using low impact development (LID) techniques on the roadside in order to reduce the scattering of dust on roads effectively. This system stores rainwater collected through gutters in rainy weather and sprays water onto the pavement surface to reduce the scattering of road dust. METHODS : The developed clean road system consists of a water tank, controller, rain detection sensor, and solar cell. Based on this, a test-bed construction was used to evaluate its applicability. By applying the developed system, actual applicability was evaluated through total suspended solid (TSS) test and fine dust measurement. TSS test was conducted to measure the reduction rate of scattering dust on the road owing to the water injected by the clean road system. A spray nozzle was used for the TSS test, and a nebulization nozzle was used for the measurement of fine dust. In order to increase the reliability of the test, three measurements were taken each, for normal road as well as unfavorable conditions road that reproduced the construction site. RESULTS : In this study, fine dust concentration measurement and TSS test were conducted to evaluate the practical applicability of the developed clean road system. From the TSS test, it was found that for both general roads and roads depicting bad conditions, the TSS value after the first spray was the highest, and the value after the second spray was sharply reduced, such that most of the re-dispersed dust was washed out after the first spray, and similar TSS value results were obtained after the third spray. Based on this result, the result of fine dust measurement showed similar fine dust reduction effect of 9%-15.9% regardless of the concentration of fine dust in the atmosphere. These results indicate that the concentration of fine dust in the atmosphere does not significantly affect of the degree of reduction in fine dust. CONCLUSIONS : In this study, a clean road system for reducing fine dust on the road was developed and its applicability was evaluated. In a future study, we intend to check the performance of the drainage pavement through performance evaluation of water permeability coefficient test and performance test in the form of drainage pavement. Through this, we intend to evaluate the applicability of the clean road system to which drainage pavement is applied. Moreover, we will develop a clean road system that applies drainage packaging, and analyzes the degree of fine dust reduction according to the spray angle, spray amount, and spray time of the clean road system in order to study the spray system with the optimum amount of fine dust reduction. In addition, in order to reduce fine dust in the winter, when fine dust is mainly generated, it is planned to install heating wires in spray pipes where freezing is expected. Lastly, the black ice prevention effect will be analyzed by mixing a certain amount of sodium chloride when spraying water.

PURPOSES : The objective of this study is to figure out the trend and characteristics of fine particulate matter (PM2.5) and nitrogen oxide (NOx) concentration in underpass sections. The effect of traffic and meteorological condition on PM2.5 / NOx concentration was analyzed using field monitoring data. METHODS : Based on the literature review, PM2.5 and NOx concentration data were monitored using DustTrak II aerosol monitoring system and Serinus 40 oxides of nitrogen analyzer, respectively. Meteorological and traffic information was collected using automatic weather system and traffic volume counter, respectively. RESULTS : PM2.5 has a positive and negative correlation with relative humidity and wind speed, respectively. Meanwhile, NOx was found to have no correlation with meteorological conditions. The NO/NO2 ratio tends to change with traffic volume, indicating higher correlation between NO and traffic volume; the observed NO2 is mostly a secondary material produced by NO oxidation. CONCLUSIONS : Our study provides clear characteristics of NOx and PM2.5 and correlations with meteorological and traffic information in the underpass sections. It is found from this study that the increase in wind speed causes reduction in the concentration of PM2.5 owing to the diffusion and dispersion phenomena. On the other hand, the meteorological conditions were found to barely have correlations with NOx concentrations in this study. The traffic volume could significantly affect the NOx concentration and NO / NO2 ratio, which is directly correlated to the emissions from vehicles.

본 연구에서는 복잡한 도심의 구조로 인한 미세먼지 농도의 강화 가능성에 대하여 데이터 마이닝 기술과 군집분석을 이용해 조사하였다. 데이터 마이닝 분석에서 미세먼지 농도와 서울지역 도시용도 데이터 사이에는 유의한 상관관계를 보이지 않았다. 그러나 전국 공공데이터를 기반으로 한 군집분석에서는 건물의 높이(층수)에서 특히 PM10과 강한 상관관계가 나타났다. 단일 케노피 모델(Single Canopy Model) 및 미기상 도시모델링 프로그램(ENVI-Met.4)을 사용한 모델링 분석을 실시하여 도시지역에서 모사된 대기 대류가 건물 분포 및 높이 유형의 배열에 따라 다양한 난류의 패턴을 구현함을 확인하였 다. 도시 건물의 복잡한 구조는 대류활동을 제어하여 정체상태를 유도하고 지표 부근의 미세먼지 강화가능성을 초래 하였다. 따라서 도심 구조와 형태에 따른 열환경의 변화로 인한 정체 효과는 미세먼지 산정에 있어서 반드시 고려되어야 한다. 복잡한 도시지역의 미세먼지 잔류확률에 대한 정보를 제공하기 위해서는 대기정체 현상이 중요한 의미로 해석될 수 있다.

This study was conducted as a part of the research for the “Development of Big Data Analysis Techniques and AI-based Integrated Support System for Energy-Environment Management.” We collected research results on characterization of distribution of fine dust and re-analyzed using meta-analysis techniques to build “big data” with high potential for school environments. The results of prior studies on the characteristics of fine dust concentration distribution in a school environment conducted in Korea were collected and re-analyzed the results using the metaanalysis technique. In this manner, the variables that could be used to derive the independent variables needed to produce the e-coding book prior to the big data collection, were first derived. The possibility of using the data as independent variables was then evaluated. In this study, three variables: “elementary school vs. middle school vs. high school,” “general classroom vs. special classroom,” and “new classroom vs. old classroom” were evaluated for their application as major classification variables with priority. The necessity of being derived as a major classification variable was examined by testing the difference in fine dust concentration distribution in the school environment by each variable case. Results showed that “elementary school vs. middle school vs high school” and “general classroom vs. special classroom” could be used as independent variables, while “new classroom vs. old classroom” was less likely to be used as an independent variable.