Solar energy has been known as a successful alternative energy source, however it requires a large area to build power generation facilities compared to other energy sources such as nuclear power. Weather factors such as rainy weather or night time impact on solar power generation because of lack of insolation and sunshine. In addition, solar power generation is vulnerable to external elements such as changes in temperature and fine dust. There are four seasons in the Republic of Korea hereby variations of temperature, insolation and sunshine are broad. Currently factors that cause find dust are continuously flowing in to Korea from abroad. In order to build a solar power plant, a large area is required for a limited domestic land hereby selecting the optimal location for the plant that maximizes the efficiency of power generation is necessary. Therefore, this research analyze the optimal site for solar power generation plant by implementing analytic hierarchy process based on weather factors such as fine dust. In order to extract weather factors that impact on solar power generation, this work conducts a case study which includes a correlation analysis between weather information and power generation.

The purpose of this study was to evaluate the concentration of airborne particulate matter and heavy metals in the houses of the respiratory tract disease patients and a control group of residents in the city of Gwangyang. The particulate matter was measured using a mini-volume air sampler and then weighed three times using a micro balance to calculate the weighted average value. The heavy metals in the particulate matter were extracted using a hot plate and analyzed using an inductively coupled plasma/mass spectrometer. The average concentration of particulate matter in the outdoor air (34.478 μm/m3) was higher than that in the indoor air (16.794 μm/m3), showing a statistically significant difference (p<0.001). The average concentration of copper, manganese and chromium in the indoor and outdoor air were higher in the houses of those in the study group than those of the control group. In addition, there was a generally high correlation between particulate matter in the outdoor air and heavy metals in the indoor and outdoor air concentration (p<0.05).

A single-stage electrostatic precipitator (ESP) was evaluated in terms of its performance in removing dust in subway tunnels. A wire-to-plate type ESP was tested in a small-scale wind tunnel. The effects of wire-to-wire spacing (2040 mm) and the material connecting wire-to-wire on the performance of ESP were investigated, with varying applied voltage and airflow velocity. A narrower wire-to-wire spacing showed higher collection efficiency at the same applied voltage. Lower electrical resistivity of material connecting wire to wire was more effective. Ozone generation in subway tunnel applications was insignificant.

This study measured the particulate matter (PM) in a subway tunnel using a dust spectrometer and estimated the PM10 and PM2.5 using a Kriging method. For the hourly measurement, a probe was attached inside the cabin and put through the window to collect data from the outside. The Kriging method is a spatial analysis method, and time and spatial data were applied in the subway tunnel along with a PM concentration map. The result of the measurement shows that PM10 is 31.9~271.3 μg/m3 and PM2.5 is 30.9~209.5 μg/m3. In addition, The pollutant map shows that some sections have a higher concentration than other sections because of the depth and curvature of tunnel and traffic volume on the section and local construction. Also, the results show that differences concentration at different times of sampling could be distinguished. The highest concentration was found at 3 pm while the lowest was at 12 pm. We expect to use the pollutant map in planning air quality improvements for the tunnel.

During periods where a fine dust watch was announced, we measured particulate matter by the light scattering method and the gravimetric method in accordance with the application of an air cleaner in 3 homes. The first investigation showed a lower indoor particulate matter 2.5 (PM2.5) concentration distribution than normal when there was a fine dust warning. Also, it was found that the result of the second research was similar to the first research, and was the effect of an air cleaner. The result of a comparison of black carbon (BC) concentration in accordance with an air cleaner at one room showed a lower concentration distribution than normal, as in the first and the second research when there was a fine dust warning. PM2.5 risk reduction effect showed 9.09E-5 (light scattering method) ~ 9.37E-5 (Gravimetric method) and 1.71E-4 (Light scattering method) ~ 1.76E-4 (Gravimetric method). Therefore, it was found that when there was a fine dust watch without ventilation, if air cleaner with the proper capacity is used and the influx of outside air reduced, the harmful effects of the fine dust can be lessened.

Calpuff 역모델링 기법을 이용해 산출된 자료는 오염물질 발생량을 예측할 수 있으며, 여러 가지 자료 비교를 통해 감축 가능성 및 목표 수립이 가능해졌다. 본 연구에서는 동해항 주변지역을 대 상으로 Calpuff 역모델링 기법을 이용하여 대기 중 미세먼지 저감량 설정하기 위한 기초자료 구축에 목 적을 두었으며, 모델링을 이용한 동해항을 포함한 5개 지역 배출농도 산출결과는 다음과 같다. 대기환경기준인 50 ㎍/㎥을 적용하여 대상 지역별 허용배출량 산출 결과 site-D에서 가장 많은 4.95 ㎍/㎡·S의 배출량 저감이 요구되었으며, 4.95 ㎍/㎡·S의 배출량을 감소시킬 경우 영향예측지점(동해하수 종말처리장)의 PM10 평균 예측농도는 42.6 ㎍/㎥로 감소될 것으로 나타났다. site-A(동해항)에서 배출되는 오염물질만을 적용하여 모델링 진행 결과 동해항 주변 민가의 기여농도 는 평균 40~50 ㎍/㎥으로 나타났으며, 배경농도를 고려하면 대기환경기준인 50 ㎍/㎥을 상회 할 것으 로 예상됨에 따라 더 이상의 오염물질 배출량은 허용되지 않을 것으로 판단된다. site-B는 상가와 나대지로 차량 통행과 나대지에서 비산되는 먼지로 인해 0.11 ㎍/㎡·S의 배출량 저감 이 요구되었으며, site-C와 E는 오염물질 저감량은 발생하지 않았으나 지속적인 관리가 요구된다.

이 연구에서는 중등학교에서 사용할 수 있는 미세먼지 포집 장치를 직접 설계 및 제작하고 이를 통해 미세먼지에 포함된 중금속 및 미생물을 분석하는 활동이 가능한지 여부를 탐색하고자 한다. 중등학교 현장의 과학 탐구활동을 위해 청주지역에서 미세먼지를 포집하는 방법과 그 속에 포함된 중금속 및 미생물을 분석하였다. 미세먼지의 포집장소는 청주지역 대학교의 4층 건물 옥상에서 포집하였다. 모터 펌프, 인넷, 지름 1.0μm 테프론필터, 필터 홀더 등을 이용하여 포집장치를 제작하였다. 이 포집장치를 이용한 미세먼지 포집은 2013년 12월-2014년 6월까지 진행하였다. 포집한 미세먼지의 중금속 성분과 미생물 포함 여부를 분석하였다. 중국에서 날아온 미세먼지 속에는 Cu, Zn, Cd, Ni, Pb 등인위적인 오염물질로 판단되는 중금속 성분이 국내 기원 미세먼지 보다 많았다. 더 나아가, 미세먼지 속에는 중금속 뿐만 아니라, 곰팡이나 세균같은 미생물도 다량 포함하고 있었다. 이 연구는 미세먼지가 중금속 뿐만아니라 미생물도 포함하고 있으므로, 이에 대한 체계적인 연구와 모니터링이 필요함을 시사한다고 할 수 있다. 또한, 이 연구는 중등학교 과학실험의 사례로 제공될 수 있다.

This study investigated the emission characteristics of airborne particles and bacteria from six types of household vacuum cleaners in the closed chamber. A test cleaner without HEPA filter was examined focusing on the first one minute of initial operation, observing significant generation of airborne particles, and especially for particle size of 0.5 to 2.5 μm, the generation rate increased up to 68.5 × 103 particles/min. Concentrations of airborne particles and bacteria depends on the production year, the motor power, and the dust filter efficiency of the vacuum cleaner. The observed results should be taken into consideration in the design of the vacuum cleaner as well as how they are operated in indoor environment.

This study tried to survey air quality inside and outside the schools where are located in about 5km of industrial complex targeting aldehyde, PM10, PM2.5. Also, the aim was also to examine both a change in indoor air after 3 years and within 3 years of addition and improvement, and a change according to season. It collected specimens at totally 20 places. Aldehyde was analyzed through HPLC. PM10 and PM2.5 were measured by using Met One 831. Formaldehyde and Acetaldehyde were detected with 42.1 μg/m3 and 5.7 μg/m3 at the school where is located inside 5km of the industrial complex, and were detected with 55.0 μg/m3 and 6.8 μg/m3 at the school where is located outside 5 km. This could be confirmed to have been detected more highly in the indoor air than the outdoor air regardless of the distance from the industrial complex. Most substances were indicated to be higher by about 150% in the indoor air within 3 years than the indoor air following 3 years of addition and improvement. However, PM10 and PM2.5 were measured with 32.6 μg/m3 and 14.9 μg/m3 after 3 years and were gauged with 22.4 μg/m3 and 14.2 μg/m3 within 3 years. Seeing a seasonal change, Formaldehyde and Propionaldehyde were detected with 5.5 μg/m3 and 1.0 μg/m3 in spring, 7.7 μg/m3 and 1.6 μg/m3 in summer, and 8.3 μg/m3 and 1.9 μg/m3 in autumn. This could be confirmed the tendency of growing according to season.

The indoor air quality in public facilities has been well maintained as consciousness of facility owners is improved.However, the risk of PM2.5 and heavy metals in particulate matters have not been highlighted until now. So weinvestigated the particulate matters on major public transportation facilities such as subway, port and bus terminals.And we tried to figure out the characteristics of each facility groups by comparing the mass and metal concentrationbetween PM2.5 and PM10. As a results, the correlation between concentration of indoor particulate matters andthat of outdoor particulate matters shows higher strength in the case of bus terminals and port platforms thansubway platforms. However the total concentration of particulate matters and heavy metals were much higher insubway platforms than that of terminals and port platforms.

The current interest in atmospheric particulate matter (PM) is mainly due to its effect on human health.Exposure to outdoor PM is associated with a wide range of adverse health effects. Indoor air contains a complexmixture of bioaerosols such as bacteria, fungi and allergens. Children are known to be more susceptible tothe exposures of PM and bioaerosols which are represented by airborne bacteria, fungi, and allergens. Thisstudy is to assess concentrations of the atmospheric PM and bioaerosols indoors and outdoors at 15 daycarecenters for children located in Seoul. Particles were measured indoors and outdoors with automatic particlemonitoring using beta radiation absorption. Airborne bacteria and fungi were sampled by Anderson sampler.Analysis shows that average indoor PM10 was 95.7µg/m³ (SD 26.6µg/m³) and average level of airbornebacteria and fungi were 575.0CFU/m³ (SD 431.6CFU/m³) and 77.9CFU/m³ (SD 45.6CFU/m³), respectively.Finally, efficient ventilation and effective air cleaning strategies are necessary to reduce indoor concentrationsof particles and bioaerosols.

이 연구의 목적은 2008년 5월 29일 우리나라에 영향을 미치는 황사를 예측하기 위해 WRF-Chem 모델 내 에어로졸 스킴과 광물성 먼지 옵션에 따른 미세먼지 농도 변화와 그에 따른 기상장의 민감도를 분석하는 것이다. 미세먼지의 인위적 배출량에 대해서는 0.5˚±0.5˚ RETRO 전구 배출량을, 광해리의 경우 Fast-J 광해리 스킴을, 그리고 황사 발생량을 추정하기 위해 RADM2 화학메커니즘 및 MADE/SORGAM 에어로졸 시나리오, MOSAIC 8 섹션 에어로졸 시나리오, 그리고 GOCART 먼지 침식 시나리오를 각각 적용하였다. 그 결과 RADM2 화학메커니즘 및 MADE/SORGAM 에어로졸 시나리오가 다른 시나리오들보다 우리나라 황사 먼지 농도와 배경 PM 농도를 더 높게 모사하였다. 그리고 이 시나리오와 서울의 각 대기질 측정망의 평균 PM10 농도와의 비교 결과, 상관계수는 0.67, 평균제곱근오차는 44μgm-3으로 나타났다. 또한 WRF-Chem 모델에서 상기 3가지 시나리오와 이들 시나리오가 없는 순수 기상에서의 온도, 풍속, 경계층 높이, 장파복사의 기상 민감도를 분석한 결과, 1,800-3,000 m 경계층 높이와 2-16ms-1 풍속 U 성분의 공간적 분포가 황사 먼지 발생의 공간적 분포와 유사하게 나타났다. 그리고 GOCART 먼지 침식 시나리오와 RADM2 화학메커니즘 및 MADE/SORGAM 에어로졸 시나리오는 황사 먼지 또는 에어로졸과 기상이 온라인으로 상호작용함으로써 지구장파복사가 더 낮게 모사되었다.

본 연구는 강원도 소재 동해항만에서 발생하는 미세먼지 관리를 위한 환경비용편익을 산출하는 것이다. 항구 인근에 부유하는 미세먼지의 농도는 매우 높은 편이며, 지점에 따라 국가 기준인 100μg/m3 이상으로 관측되는 곳도 있다. 시험대상 항구는 주로 석회석과 석탄을 취급함으로써 미세입자상 물질이 하역시 다량 발생한다. 연구결과 PM10을 기준으로 년간 12톤의 미세먼지가 하역작업 시 발생하는 것으로 밝혀졌다. 덧붙여서 원료물질을 비롯한 다양한 화물을 운송하는 대형차량 및 중장비는 디젤 검댕이를 발생하고, 도로먼지의 비산을 유발한다. 지방정부는 해마다 20억원 이상의 비용을 투자하여 대기중 미세먼지를 제거하고 있다. 편익대비 비용을 산출한 결과 그 효과는 최소 240%에서 최대 720%까지 얻을 수 있는 것으로 나타났다.

이 논문에서는 환경변수의 시계열 분포도 작성과 불확실성 모델링을 위해 시공간영역으로 확장된 다중 가우시안 크리깅을 제안하였다. 다중 가우시안 틀 안에서, 우선 정규점수변환된 환경변수를 결정론적 경향 성분과 확률론적 잔차 성분으로 분해하였다. 그리고 시간 경향 모델 계수의 내삽을 통해 경향 성분의 시계열 공간 분포도를 작성하였다. 정상성 잔차 성분의 시공간 상관 구조는 곱-합 시공간 베리오그램 모델을 이용하여 정량화하였고, 이 베리오그램 모델과 시공간 크리깅을 이용하여 국소적 누적 확률분포함수를 모델링하였다. 이 국소적 누적 확률분포함수로부터 평균값과 조건부 분산을 계산하여 공간분포도 작성과 불확실성 분석에 각각 이용하였다. 제안 기법의 적용성 평가를 위해 인천광역시에서 3년간 13개 관측소에서 측정된 월 평균 미세먼지(PM10) 농도 자료를 이용한 시계열 분포도 작성 사례 연구를 수행하였다. 사례연구 결과, 제안 기법을 통해 기존 공간 정규 크리깅에 비해 작은 편향과 높은 예측 능력을 가진 시계열 미세먼지(PM10) 농도 분포도 작성이 가능함을 확인할 수 있었다. 또한 조건부 분산과 특정 농도값을 초과할 확률값들은 해석을 위한 유용한 보조 정보를 제공하였다.

부산지역에서 PM10 과 PM2.5중의 금속 성분 농도를 파악하기 위하여 2004년 3월부터 2004년 12월까지 조사하였다. PM10의 평균농도는 58.2μg/m3 농도범위는 8.3~161.1μg/m3이었으며, PM2.5의 평균농도는 29.3μg/m3, 농도범위는 2.8~65.3μg/m3였다. PM10의 평균 질량농도는 황사시 121.5μg/m3, 비황사시 56.0μg/m3로 나타났다. 10 이상의 지각농축계수를 보인 성분은 Cd, Cr, Cu, Ni, Pb 및 Zn로서 인위적기원을 받은 것으로 추정된다. PM10과 PM2.5 중 미량금속 성분의 지각농축계수는 황사시보다 비황사시에 높게 나타났으며, 인근의 공단지역으로부터 인위적 오염물질이 수송된 것으로 추정된다. PM10과 PM2.5의 토양입자의 평균 기여율은 각각 15.2%와17.5%였다. 토양기여율의 황사/비황사비는 PM10과 PM2.5에서 각각 1.9와 2.1로 나타났다.

This study was conducted to investigate the distribution characteristics, source identification, and health risk of polycyclic aromatic hydrocarbons (PAHs) present in particulate matter 10 (PM-10), in Gwangju. PM-10 samples were collected from September 2021 to August 2022 from three sampling sites, one located in each of the following areas: green, residential, and industrial. The average concentrations of PAHs were found to be higher in the industrial area (9.75±6.51 ng/㎥) than in the green (6.90±2.41 ng/㎥) and residential (6.74±2.38 ng/㎥) areas. Throughout the year and across all sites, five-ring PAHs accounted for the largest proportion (29.8–34.5%) of all PAHs. The concentrations of PAHs showed distinct seasonal variations, with the highest concentration observed in winter, followed by autumn, spring, and summer. Source apportionment analyses were performed using diagnostic ratios and principal component analyses, which indicated that coal/biomass combustion and vehicle emissions were the primary sources of PAHs in PM-10. The incremental lifetime cancer risk was estimated for all age groups at all sampling sites, and the results revealed a much lower risk level than the standard acceptable risk level (1×10-6).

Filter and microbalance sensitivity in measuring fine particulate matter mass is greatly influenced by particulate properties and environmental factors. Temperature and humidity control inside a measuring chamber with a microbalance, and neutralization of static charges on filters are essential for consistent filter weighing. Commercial weighing chambers are expensive with a unit price of tens of millions won. This study developed an inexpensive weighing chamber for weighing fine particulate matter and evaluatedits weighing performance. A microbalance with 1 μg precision was used to measure the weight of a filter. The microbalance was set in a transparent acrylic enclosure (100 x 60 x 65 cm3) equipped with temperature and humidity control equipments. Weighing performance of the chamber was examined using Teflon filters with or without different particulate sample types. Temperature and humidity were maintained at approximately 23.2±1.2 ℃ and 36.2±1.8℃ for 8 days, respectively.

This study investigated the effect of May 31, 2022 Miryang wildfire on fine particle concentrations in Busan and Gimhae, which are neighboring urban areas. In addition, fine particle characteristics and air pollution concentrations were investigated in Miryang, where haze occurred. The Miryang city wildfire that occurred on May 31, 2022, at 0925 LST, was driven by strong north winds and increased fine particle concentrations in Dongsangdong and Jangyoodong, Gimhae City, which are approximately 35 km to the southeast and south, respectively, of the wildfire occurrence site. Furthermore, the fine particle concentration in Myeongjidong, which is approximately 50 km south-southeast of the wildfire site, exhibited a temporary increase at 1400 LST owing to the effects of wildfire smoke. On the morning of June 1, the day after the fire, the Miryang area had very bad visibility because of the smoke from the fire. Therefore the PM10 and PM2.5 concentrations in Naeildong, 3 km south of the wildfire site, were 276 μg/㎥ and 222 μg/㎥, respectively, at 1200 LST. In addition, the gases O3, CO, and SO2 showed high concentrations at the time of haze generation. This study provides insights into policy making in response to the rapid increase in fine dust when wildfire occurs near cities.

This study investigated the effect of volcanic materials that erupted from the Nishinoshima volcano, Japan, 1,300 km southeast of the Busan area at the end of July 2020, on the fine particle concentration in the Busan area. Backward trajectory analysis from the HYSPLIT model showed that the air parcel from the Nishinoshima volcano turned clockwise along the edge of the North Pacific high pressure and reached the Busan area. From August 4 to August 5, 2020, the concentration of PM10 and PM2.5 in Busan started to increase rapidly from 1000 LST on August 4, and showed a high concentration for approximately 13 hours until 2400 LST. The PM2.5/PM10 ratio showed a relatively high value of 0.7 or more, and the SO2 concentration also showed a high value at the time when the PM10 and PM2.5 concentrations were relatively high. The SO4 2- concentration in PM2.5 in Busan showed a similar trend to the change in PM10 and PM2.5 concentrations. It rose sharply from 1300 LST on August 4, at the time where it was expected to have been affected by the Nishinoshima Volcano. This study has shown that the occurrence of high concentration fine particle in Busan in summer has the potential to affect Korea not only due to anthropogenic factors but also from natural causes such as volcanic eruptions in Japan.

This study investigated the weather conditions, fine particle concentration, and ion components in PM2.5 when two cold fronts passed through Busan in succession on February 1 and 2, 2021. A analysis of the surface weather chart, AWS, and backward trajectory revealed that the first cold front passed through the Busan at 0900 LST on February 1, 2021, with the second cold front arriving at 0100 LST on February 2, 2021. According to the PM10 concentration of the KMA, the timing of the cold front passage had a close relationship with the occurrence of the highest concentration of fine particles. The transport time of the cold front from Baengnyeongdo to Mt. Gudeok was approximately 11 hours . The PM10 and PM2.5 concentrations in Busan started to increase after the first cold front had passed, and the maximum concentration occurred two hours after the second cold front passed. The SO4 2-, NO3 -, and NH4 + concentration in PM2.5 started to increase from 1100 to 1200 LST on February 1, after the first cold front passed, and peaked at 0100 LST to 0300 LST on February 2. However, the highest Ca2+ concentration was recorded 2-3 hours after the second cold front had passed.