현재 미세먼지에 대한 화재가 점점 사람들의 시선을 끌고 있다. 미세먼지는 눈으로 볼 수 없 는 직경이 2.5μm(마이크로미터)인 먼지이며 폐 속 깊숙이 침투 할 수 있어 건강에 많은 피해를 준다. 사람들은 예방법을 알면서도 실행에 옮기지 않는 것은 미세먼지 위험성의 인지도가 낮기 때문이다. 본 논문은 어린이 대상으로 미세먼지의 인위적 원인과 자연적 원인의 생성 요소와 미세먼지 예방요소에 대한 인지도를 향상시키기 위하여 <우마이 탈출>보드게임 개발하여 다수 의 어린에게 테스트를 진행하여 <우마이 탈출>보드게임의 교육적 효과에 대한 연구를 진행하 였다.

신재생에너지원 중 가장 큰 비율을 차지하고 있는 폐기물은 소각, 매립 등으로 폐기되고 있다. 그러나 생활폐기물 에너지화에 대한 연구가 지속적으로 진행됨에 따라, 현재 생활폐기물 처리시설에서는 SRF생산 공정을 도입하고 있는 추세이다. SRF는 평균 3,500 kg/kcal의 발열량을 나타내며, 대체연료로써 주목을 받고 있다. 그러나 SRF는 성형을 위한 추가적인 비용이 필요하기 때문에, 비성형 폐기물의 에너지화 기술에 대한 많은 연구가 진행되고 있다. 폐기물 에너지화 기술 중 가스화는 고형시료를 합성가스로 전환하는 기술로 저급연로를 고 효율화를 기대할 수 있다. 본 연구는 8ton/day 용량 pilot-scale 비성형 고형연료 가스화 공정에서 수행되었으며, 대기오염 방지시설은 사이클론, 열교환기, 탈염/탈질/탈황 장비, 습식 전기집진기, 수분제거장치로 구성되어 있다. 위의 공정에서 최근 문제가 되고 있는 미세먼지를 다단입경분석기를 이용하여 채취하였다. 채취된 시료는 건조 및 무게측정을 통해 대기오염 방지시설 구간별 미세먼지 분포를 살펴보았고, 각 대기오염 방지시설별 제어효율을 도출하였다. 추가적으로 채취된 입도별 미세먼지 시료는 ICP-MS분석을 통해 K, Cr, Mn, Ni, Cu, Zn, As, Cd, Pb에 대한 거동을 살펴보았다.

The initial and boundary conditions are important factors in regional chemical transport modeling systems. The method of generating the chemical boundary conditions for regional air quality models tends to be different from the dynamically varying boundary conditions in global chemical transport models. In this study, the impact of real time Copernicus atmosphere monitoring service (CAMS) re-analysis data from the modeling atmospheric composition and climate project interim implementation (MACC) on the regional air quality in the Korean Peninsula was carried out using the community multi-scale air quality modeling system (CMAQ). A comparison between conventional global data and CAMS for numerical assessments was also conducted. Although the horizontal resolution of the CAMS re-analysis data is not higher than the conventionally provided data, the simulated particulate matter (PM) concentrations with boundary conditions for CAMS re-analysis is more reasonable than any other data, and the estimation accuracy over the entire Korean peninsula, including the Seoul and Daegu metropolitan areas, was improved. Although an inland area such as the Daegu metropolitan area often has large uncertainty in PM prediction, the level of improvement in the prediction for the Daegu metropolitan area is higher than in the coastal area of the western part of the Korean peninsula.

This study investigates the characteristics of metallic and ionic elements concentration, concentration according to transport path, and factor analysis in PM10 at Guducsan in Busan in the springtime of 2015. PM10 concentration in Guducsan and Gwaebeopdong were 59.5± 9.04 ㎍/㎥ and 87.5±20.2 ㎍/㎥, respectively. Contribution rate of water-soluble ions and secondary ion in PM10 concentration in Guducsan were 37.0% and 27.8% respectively. [NO3 -/SO4 2-] ratio and contribution rate of sea salt of PM10 in Guducsan and Gwaebeopdong were 0.91 and 1.12, 7.0% and 5.3%, respectively. The results of the backward trajectory analysis indicates that PM10 concentration, total inorganic water-soluble ions and total secondary ions were high when the air parcels moved from Sandong region in China than non-Sandong and northen China to Busan area. The results of the factor analysis at Guducsan indicates that factor 1 was anthropogenic source effects such as automobile emissions and industrial combustion processes, factor 2 was marine sources such as sea salts from sea, and factor 3 was soil component sources.

This study investigates the concentration sudden rise in fine particle according to resuspended dust from paved roads after sudden heavy rain in Busan on August 25, 2015. The localized torrential rainfall in Busan area occurred as tropical airmass flow from the south and polar airmass flow from north merged. Orographic effect of Mt. Geumjeong enforced rainfall and it amounted to maximum 80 ㎜/hr at Dongrae and Geumjeong region in Busan. This heavy rain induced flood and landslide in Busan and the nearby areas. The sudden heavy rain moved soil and gravel from mountainous region, which deposited on paved roads and near roadside. These matters on road suspended by an automobile transit, and increased fine particle concentration of air. In addition outdoor fine particle of high concentration flowed in indoor by shoes, cloths and air circulation.

Long-term variations of PM10 and the characteristics of local meteorology related to its concentration changes were analyzed at 4 air quality sites (Ido-dong, Yeon-dong, Donghong-dong, and Gosan) in Jeju during two different periods, such as PI (2001-2006) and PII (2007-2013), over a 13-year period. Overall, the long-term trend of PM10 was very slightly downward during the whole study period, while the high PM10 concentrations in PII were observed more frequently than those in PI. The concentration variations of PM10 during the study period was clarified in correlation between PM10 and meteorological variables, e.g. the low (high) PM10 concentration with large (small) precipitation or high (low) radiation and in part high PM10 concentrations (especially, Donghong-dong and Gosan) with strong wind speed and the westerly/northwesterly winds. This was likely to be caused by the transport effect (from the polluted regions of China) rather than the contribution of local emission sources. The PM10 concentrations in “Asian dust” and “Haze” weather types were higher, whereas those in “Precipitation”, “Fog”, and “Thunder and Lighting” weather types were lower. The contribution of long-range transport to the observed PM10 levels in the urban center (Ido-dong, Yeon-dong, and Donghong-dong), if estimated by comparison to the data of the background site (Gosan), was found to explain about 80% (on average) of its input.

In order to clarify the contribution rate of PM concentration due to regional emission distribution, Brute force analysis were carried out using numerical estimated PM data from WRF-CMAQ. The emission from Kyeongki region including Seoul metropolitan is the largest contribution of PM concentration than that from other regions except for emission of trans-country and source itself. Contribution rate of self emission is also the largest at Kyeongki region and its rate reach on over 95 %. And the rate at Gangwon region also higher than any region due to synoptic wind pattern. Due to synoptic wind direction at high PM episode, pollutants at downwind area along from west to east and from north to south tends to mix intensively and its composition is also complicated. Although the uncertainty of initial concentration of PM, the contribution of regional PM concentration tend to depend on the meteorological condition including intensity of synoptic and mesoscale wind and PM emission pattern over upwind region.

In order to clarify the characteristics of PM10 in coastal and inland cities and their variation statistical analysis were carried out using environmental and meteorological data observed at Busan and Daegu metropolitans during 4 year from 2010. Averaged PM10 concentration was higher in industrial area than any other land-use sites, and its maximum value reach on over 50 ㎍/㎥ at Jangrim site in Busan. Temporal and spatial variations of PM10 concentration in Busan were more sharply, since topograph and mesoscale wind pattern in Busan is more complicated than those in Daegu. Correlation of PM10 concentrations between sites within Daegu appeared strongly and maximum values R2 is about 0.8. This indicate that because wind pattern induced by mesoscale forcing in Daegu are well unified, the variation of PM10 concentration tends to be similar in all sites within Daegu. However, due to complicate wind pattern induced by topography and coastal line, PM10 correlation of sites within Busan was weaker in comparison with in Daegu. And correlation of PM10 at same lane-use in Busan and Daegu tend to be related to the intensity of meteorological forcing, which can decide the intensity of wind pattern.

The study investigates the characteristics of PM10 concentration in Guducsan air quality observatory and in particular, analyzes the relationship between sudden increase of PM10 concentration in the morning of spring 2014 and meteorological parameters. PM10 concentration in April was 46.9 ㎍/㎥, the highest, followed by 45.5 ㎍/㎥ and 44.6 ㎍/㎥ in March and May, and 21.9 ㎍/㎥ in August. The low concentration in the early morning appeared on 0800 LST in spring, summer, and fall, whereas it emerged on 0900 LST in winter. High concentration in daytime lasted from 1200 LST to 1500 LST in spring and fall, whereas it continued from 1300 LST to 1600 LST in winter. The findings of PM10 concentration and change of meteorological parameters in Guducsan from April 20th to 27th in 2014 are as follows. The low concentration at dawn and in the morning decreased due to strong land breeze. Also, the sudden increase of PM10 concentration in the morning was attributable to low wind speed. Lastly, the sudden decrease of PM10 concentration in the afternoon was attributed to diffusion by strong sea breeze.

PM10 concentration is related to the meteorological variables including to local and synoptic meteorology. In this study the PM10 concentrations of Busan in 2007~2011 were analyzed and the days of yellow sand or rainfall which is more than 5 mm were excluded. The sections of PM10 concentration were divided according to 10-quantiles, quartiles and 90-quantiles. The 90-quantiles of daily PM10 concentration were selected as high concentration dates. In the high concentration dates the daily mean averaged cloudness, mean daily surface wind speed, daily mean surface pressure and PBL height were low and diurnal variation of surface pressure and daily maximum surface temperature were high. When the high PM10 dates occurred, the west and south wind blew on the ground and the west wind blew strongly on the 850 hPa. So it seemed that long range transboundary air pollutants made effects on the high concentration dates. The cluster analysis using Hysplit model which is the backward trajectory was made on the high concentration dates. As a result, 3 clusters were extracted and on the short range transboundary cluster the daily mean relative humidity and cloudness were high and PBL height was low.

Aerosol characterization study for individual particle in Busan metropolitan industrial complex was carried out from December 2010 to August 2011. SEM(scanning electron microscope)-EDX(energy dispersive x-ray) analysis was used for the analysis of 600 single particles during the sampling periods to identify non-metallic aerosol particle sources. Average PM10 concentration was 65.5 ㎍/㎥ in summer, 104.1 ㎍/㎥ in winter during the sample periods. And Average PM2.5 concentration was 24.5 ㎍/㎥ in summer, 64.5 ㎍/㎥ in winter individually. Particle density, enrichment factor, correlation analysis, principle component analysis were performed based on chemical composition data. Particle density distribution was measured to 2∼4 g/㎤, and the density of PM2.5 was measured above 3 g/㎤. In general, the elements Si, Ca, Fe and Al concentrations were higher in all samples of individual particles. The non-ferrous elements Zn, Br, Pb, Cu concentrations were higher in summer than in winter. The concentrations were not changed with the seasons because of non-ferrous industry emission pattern.

The purpose of this study was to analyze the meteorological characteristics of wintertime high PM10 concentration episodes in Busan. PM10 concentration has been reduced for the past four years and recorded near or exceeded 100 ㎍/㎥ (national standard of PM10). High concentration episodes in Busan were 6 case, PM2.5/PM10 ratio was 0.36∼0.39(mean 0.55). High PM10 concentration occurred during higher air temperature, more solar radiation and sunshine, lower relative humidity, and smaller cloud amount. Synoptically, it also occurred when Busan was in the center or the edge of anticyclone and when sea breeze intruded. An analysis of upper air sounding showed that high PM10 concentration occurred when surface inversion layer and upper subsidence inversion layer existed, and when boundary layer depth and vertical mixing coefficient were low. An analysis of backward trajectory of air mass showed that high PM10 concentration was largely affected by long range transport considering that it occurs when air mass is intruded from China.

Power spectral analysis for PM10 observed at 10 cities in the Korean Peninsula from 2004 to 2010 was carried out to examine the spatial and temporal features of PM10 evolution cycle. The power spectrum analysis proposed 9 typical cycles (0.5 day, 1day, 5.4day, 8~10day, 19~21day, 26day, 56day, 180day and 365day) for PM10 evolution and the cycles are strongly associated with dilution and transportation due to the meterological influence. The spectrum intensity of 5.4day and 26day PM10 evolution cycles mainly depend on the advection cycles of synoptic pressures system and long-term variation of climatological forcing, respectively. The intensity of PM10 evolution with longer temporal cycles than one day tends to be stronger in La niña period in comparison with that in El niño period. Mean of typical intensity of PM10 evolution in La niña period estimated to be 30% larger than El niño period. Thus the global scale meteorological phenomena such as El niño and La niña also can influence the variation of wind system in the Korean Peninsula and PM10 evolution. but global scale forcing tends to influence different manner for PM10 evolution in accordance with its temporal cycles.

The objectives of this study were to investigate the seasonal characteristics of metallic and ion elements of PM10(Particulate matter with aerodynamic diameter ≤10 ㎛) and the effects of vessels exhaust emission from ships harboring in Busan City. The PM10 samples were collected from January 2010 to October 2010 at Dongsam-dong(coastal area), in Busan City. The particulate matters were analyzed for major water soluble ionic components and metals. The ranges of the PM10 mass concentrations were from 29.8 ㎍/㎥ to 47.0 ㎍/㎥ in Dongsam-dong. The PM10 mass concentrations in Dongsam-dong are very similar to Gwangbok-dong during same sampling periods. These results were understood by the effects of the shipping source emitted from ships anchoraging and running. The concentrations of water-soluble ions and metals in the PM10 had a level of as high as the order of SO4 2- >NO3 - >Cl - and NH4 + >Na + >Ca 2+ >K + >Mg 2+ , respectively. The correlation coefficients(R 2 ) for SO4 2- /PM10 and NH4 + /PM10 of were 0.7446 and 0.7784, respectively, and it showed the high correlation with each other.

The results of particulate matters level and heavy metal concentration, which surveyed in Gwang-Yang, Dang-Jin steel industry area, are as follows; The PM2.5, PM10 of exposure area are 22.3μg/m3, 40.4μg/m3 each in Kum-Ho dong, and 28.1μg/m3, 51.5 each in Jung dong. The PM2.5, PM10 of control area are 16.4μg/m3, 29.5μg/m3 each in Bonggang-myeon. The level is higher in exposure area than control area. In case of Dang Jin, the concentration of PM10 and PM2.5 is higher in exposure area than control area (PM2.5-20.4μg/m3, PM10-39.2μg/m3). The Pb level of Dang Jin area is higher in exposure area(0.13μg/m3) than control area(0.1μg/m3), and both Gwang-Yang and Dang-Jin area lower level than the Guideline level of Korea EPA.

In an effort to interpret the characteristics of fine particle concentrations in Busan, time variations of hourly monitored concentrations PM10 (Particulate Matter with aerodynamic Diameter ≤10 ㎛) in Busan are analyzed for the period from 2000 to 2005. The characteristics of aerosol second generation formation process is also interpreted qualitatively, by using the statistical analysis of the meteorological variables including temperature, wind speed, and relative humidity. The result shows some significant annual, seasonal, weekly and diurnal variations of PM10 concentrations. In particular, seasonal(i.e., spring) variations are governed by frequency of yellow sand events even for the non-yellow sand cases where yellow-sand days are eliminated in our analysis. However, in seasonal variation, summer season predominate lower PM10 concentrations due to the frequent precipitation, and weekly and diurnal variations are both found to be reflecting the emission rate from traffic amount. Correlation coefficients between PM10 concentration and meterological variables for non-yellow sand days show overall negative correlation with visibility, wind speed, cloud amounts, and relative humidity. However for non-precipitation days, during non-yellow sand period positive correlation are found clearly with relative humidity, suggesting the importance of secondary aerosol formation in Busan that can be achieved by both homogeneous aerosol formation and heterogeneous transformations resulting from hygroscopic aerosol characteristics.

Several samplers using gravimetric methods such as high-volume air sampler, MiniVol portable sampler, personal environmental monitor(PEM) and cyclone were applied to determine the concentrations of fine particles in atmospheric condition. Comparative evaluation between high-volume air sampler and MiniVol portable sampler for PM10, and between MiniVol portable sampler and PEM was undertaken from June, 2003 to January 2004. Simultaneously, meteorological conditions such as wind speed, wind direction, relative humidity and temperature was measured to check the factors affecting the concentrations of fine particles. In addition, particle concentrations by cyclone with an aerodynamic diameter of 4 ㎛ were measured. Correlation coefficient between high- volume air sampler and portable air sampler for PM10 was 0.79 (p<0.001). However, the mean concentration for PM10 by high-volume air sampler was significantly higher than that by MiniVol portable sampler (p=0.018). Correlation coefficient between Minivol portable sampler and PEM for PM2.5 was 0.74 (p<0.001), and the measured mean concentrations for PM2.5 did not show significant difference. Difference of the measured concentrations of fine particle might be explained by wind speed and humidity among meteorological conditions. Particle concentration differences by measurement samplers were proportional to the wind speed, but inversely proportional to the relative humidity, though it was not a significant correlation.

To investigate the chemical characteristics of PM2.5 in Seoul, Korea, atmospheric particulate matters were collected using a PM10 dichotomous sampler including PM10 and PM2.5 inlet during the period of October 2000 to September 2001. The Inductively Coupled Plasma-Mass Spectromety (ICP-MS), Ion Chromatography (IC) methods were used to determine the concentration of both metal and ionic species. A statistical analysis was performed for the heavy metals data set using a principal component analysis (PCA) to derived important factors inherent in the interactions among the variables. The mean concentrations of ambient PM2.5 and PM10 were 24.47 and 45.27 ㎍/㎥, respectively. PM2.5 masses also showed temporal variations both yearly and seasonally. The ratios of PM2.5/PM10 was 0.54, which similar to the value of 0.60 in North America. Soil-related chemical components (such as Al, Ca, Fe, Si, and Mn) were abundant in PM10, while anthropogenic components (such as As, Cd, Cr, V, Zn and Pb) were abundant in PM2.5. Total water soluble ions constituted 30～50 % of PM2.5 mass, and sulfate, nitrate and ammonium were main components in water soluble ions. Reactive forms of NH4+ were considered as NH4NO3 and (NH4)2SO4 during the sampling periods. In the results of PCA for PM2.5, we identified three principal components. Major contribution to PM2.5 seemed to be soil, oil combustion, unidentified source. Further study, the detailed interpretation of these data will need efforts in order to identify emission sources.