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.

This study was conducted to investigate the correlations between the PM10 concentration trend and meteorological elements in the Gimhae region and analyze the transportation routes of air pollutants through back-trajectory analysis. Among the air quality measuring stations in the Gimhae regions, the PM10 concentration of the Sambangdong station was higher than that of the Dongsangdong station. Also, an examination of the relationships between PM10 concentration and meteorological elements showed that the greater the number of yellow dust occurrence days was and the lower the temperature and precipitation were, the higher the PM10 concentration appeared. Furthermore, a cluster analysis through the HYSPLIT model showed that there were 4 clusters of trajectories that flowed into the Gimhae region and most of them originated in China. The meteorological characteristics of the four clusters were analyzed and they were similar to those of the air masses that influence South Korea. These analyses found that meteorological conditions affect the PM10 concentration.

This study introduces a novel approach to the differentiation of two phenomena, Asian Dust and haze, which are extremely difficult to distinguish based solely on comparisons of PM10 concentration, through use of the Optical Particle Counter (OPC), which simultaneously generates PM10, PM2.5 and PM1.0 concentration. In the case of Asian Dust, PM10 concentration rose to the exclusion of PM2.5 and PM1.0 concentration. The relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration were below 40%, which is consistent with the conclusion that Asian Dust, as a prime example of the coarse-particle phenomenon, only impacts PM10 concentration, not PM2.5 and PM1.0 concentration. In contrast, PM10, PM2.5 and PM1.0 concentration simultaneously increased with haze. The relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration were generally above 70%. In this case, PM1.0 concentration varies because a haze event consists of secondary aerosol in the fine-mode, and the relative ratios of PM10 and PM2.5 concentration remain intact as these values already subsume PM1.0 concentration. The sequential shift of the peaks in PM10, PM2.5 and PM1.0 concentrations also serve to individually track the transport of coarse-mode versus fine-mode aerosols. The distinction in the relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration in an Asian Dust versus a haze event, when collected on a national or global scale using OPC monitoring networks, provides realistic information on outbreaks and transport of Asian Dust and haze.

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.

2003년 10월 26~29일까지 고비사막으로부터 강릉시로 황사의 유입 전, 후의 매 시각별 PM10, PM2.5와 PM1농도의 영향을 미치는 대기경계층과 PM농도 간의 상관관계 및 회귀식을 조사되었다. 고비사막에서 유입된 황사와 차량에서 방출되는 대기오염물질 및 도로의 비산먼지가 결합되고, 열적내부경계층이 수축되어 강릉시내 PM농도가 09시 매우 높았다. 수축된 야간접지역전층 내에서 황사, 차량의 배기가스와 주거지역의 난방보일러에서 방출된 대기오염물질이 추척되어 퇴근시간인 17시에 최대농도가 나타났다. 황사의 유입 전에 PM10과 PM2.5(PM2.5와 PM1, PM10과 PM1) 간의 상관계수는 0.90(0.99, 0.84)이었고, 황사 유입 기간에는 0.98(1.00, 0.97), 황사의 유입이 종료된 후에는 0.23(0.81, -0.36)로 매우 낮았다.

Hourly concentrations of PM1, PM2.5 and PM10, were investigated at Gangneung city in the Korean east coast on 0000LST October 26~1800LST October 29, 2003. Before the intrusion of Yellow dust from Gobi Desert, PM10(PM2.5, PM1) concentration was generally low, more or less than 20 (10, 5) μg/m3, and higher PM concentration was found at 0900LST at the beginning time of office hour and their maximum ones at 1700LST around its ending time. As correlation coefficient of PM10 and PM2.5(PM2.5 and PM1, and PM10 and PM1) was very high with 0.90(0.99, 0.84), and fractional ratios of (PM10-PM2.5)/PM2.5((PM2.5-PM1)/PM1) were 1.37~3.39(0.23~0.54), respectively. It implied that local PM10 concentration could be greatly affected by particulate matters of sizes larger than 2.5 μm, and PM2.5 concentration could be by particulate matters of sizes smaller than 2.5 μm. During the dust intrusion, maximum concentration of PM10(PM2.5, PM1) reached 154.57(93.19, 76.05) μg/m3 with 3.8(3.4, 14.1) times higher concentration than before the dust intrusion. As correlation coefficient of PM10 and PM2.5(vice verse, PM2.5, PM1) was almost perfect high with 0.98(1.00, 0.97) and fractional ratios of (PM10-PM2.5)/PM2.5((PM2.5-PM1)/PM1) were 0.48~1.25(0.16~0.37), local PM10 concentration could be major affected by particulates smaller than both 2.5 μm and 1 μm (fine particulate), opposite to ones before the dust intrusion. After the ending of dust intrusion, as its coefficient of 0.23(0.81, - 0.36) was very low, except the case of PM2.5 and PM1 and (PM10-PM2.5)/PM2.5((PM2.5-PM1)/PM1) were 1.13~1.91(0.29~1.90), concentrations of coarse particulates larger than 2.5 μm greatly contributed to PM10 concentration, again. For a whole period, as the correlation coefficients of PM10, PM2.5, PM1 were very high with 0.94, 1.00 and 0.92, reliable regression equations among PM concentrations were suggested.

최근 계속되는 산업화와 도시화로 인해 많은 환경오염이 발생하고 있다. 특히, 대기 중 미세먼지(Particulate Matter, PM10)는 호흡 시 체내에 흡입되기 쉽고 큰 비표면적으로 인해 각종 유해성분을 많이 함유하고 있어 심장 및 폐기능 저하, 조기사망 등 인체뿐만 아니라 생태계까지 악영향을 초래할 가능성이 높은 오염물질로 알려져 있다. 따라서 국·내외적으로 PM10에 대한 연구가 활발하게 진행되어 왔으며, 주로 관측된 대기질 자료를 분석하거나 수치모델을 이용하였다. 본 연구에서는 2006년부터 2011년까지 연안 분지 지역인 김해지역을 대상으로 고농도 오염에 영향을 미치는 다양한 요인 중 고농도를 발생시키는 1차적인 요인이라고 할 수 있는 오염물질 양 이 외에 다른 부가적인 요인 중 중요한 요인으로 알려진 기상학적 요인에 의한 영향을 분석하고자 하였다. 김해지역으로 유입되는 PM10의 궤적을 살펴보기 위해 HYSPLIT 모델을 사용하였다. HYSPLIT 모델을 통한 군집 분석을 수행한 결과, 총 4개의 군집으로 분류되었으며, 대부분 중국으로부터 유입되는 수송 경로를 나타내었다. 본 연구에서는 김해지역의 일평균 PM10 농도가 전체의 95 분위수에 해당하는 80 ㎍/㎥ 이상인 날을 고농도 사례일로 정의하였으며, 사례일 선정 시, 황사, 연무, 박무와 같은 특이 기상일은 제외하였다. 그 결과, 연구대상기간 동안 고농도 사례일은 총 8일로 나타났다. 선정된 각 사례일의 WRF 수치모의 결과와 지상 일기도 분석을 통해 고농도 사례일은 전반적으로 바람이 약하게 나타났으며, 이로 인해 해륙풍, 산곡풍과 같은 국지순환계의 형성과 계절적 종관 기상장의 복합적인 작용으로 고농도가 유발된 것으로 판단하였다. 고농도 사례일을 대상으로 WRF/HYSPLIT 모델을 이용하여 역궤적 분석을 실시하였다. 선정된 고농도 사례일 8일은 모두 중국으로부터 발원하여 김해지역으로 유입되는 경로를 나타내었다. 특히, 재순환현상이 나타난 2008년 1월 10일의 경우, 고농도 사례일 중 가장 높은 농도를 보였는데, 이는 오염물질의 재순환과정이 연안 지역 오염물질의 농도를 상승시키는 주요 원인이라고 밝힌 여러 선행 연구의 결과와도 일치한다. 이처럼 중규모 기상장 수치모델과 역궤적 모델을 결합하여 분석해 본 결과, 김해지역과 같이 좁은 지역으로 유입되는 대기오염물질의 궤적과 이와 연관된 기상학적 특징을 상세히 살펴볼 수 있었다.

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.

Emission reduction program for in-use diesel vehicles(ERPDV) has been enacted since 2004 over the Seoul metropolitan area, and diesel emission reduction is forced to fulfill this regulation. This study was performed to evaluate the ERPDV using PM10 concentrations of both road-side monitoring and national background network during the period of 2004-2010. In order to assess the pure road emission, we first eliminated the long range transport effect by deducting the trend of annual national background concentrations from the road-side PM10 concentrations, and then analyzed the time series of the resultant PM10 concentrations over Seoul metropolitan area. The annual rates of variations of road-side PM10 with the deduction of trend of background level show -3.2, +0.4, and -2.4㎍/㎥/year, in Seoul, Incheon, and Gyonggi province, respectively. There are steadily decreasing trend in Seoul with all of statistic parameters such as mean, mediam, 5%ile, 10%ile, 25%ile, 75%ile, 90%ile, and 95%ile concentrations. Incheon shows some fluctuations with positive with no significant trend, and Gyonggi province shows overall decreasing but not consistent. Student-t test shows 95% significant level of ERPDV effect in Seoul, but there exists no significant level greater than 90% in both Incheon, and Kyonggi province. Total annual averaged trend over the whole Seoul metropolitan area is estimated to lie in approximately -2.9㎍/㎥/year in this study, implying the intimate involvement of ERPDV to a large extent. This is also suggesting that the further research cost-effectiveness of ERPDV with consideration of the long range transport process would be needed over the Seoul metropolitan area.

황사발생 전과 후인 2003년 10월 26일 00시부터 29일 18시까지 한국의 동쪽 연안에 있는 강릉시에서 PM10, PM2.5와 PM1 매 시각별 분포를 조사하였다. 황사가 고비사막으로부터 유입되기 전까지는 매 시각 PM10 농도가 20μg/m3 내외, PM2.5가 10μg/m3 내외, PM1가 5μg/m3 내외로 매우 낮은 농도를 나타내지만 황사가 유입된 10월 27일 09시부터 28일 05시까지는 PM10의 농도의 범위가 48.20~154.57μg/m3이며, 평상시 비해PM10의 농도가 3.8배로 높았다. 유사하게 PM2.5의 농도는 26.92~93.19μg/m3의 변화폭을 나타내며, 최대 3.4배로 높게 나타났고, PM1의 농도는 19.63~76.05μg/m3의 변화폭을 갖고, 최대 14.1배가 되었다. 황사가 나타나는 동안에는 수송된 황사먼지의 집중적인 유입과 동시에 도로 위의 차량의 밀집과 일몰 후 주거지역에서의 보일러 가동으로 출근시각인 09시와 퇴근시각인 17시에 PM의 고농도가 나타났다. 황사가 관측되기 전에는 미세입자와 극미세입자의 비율을 나타내는 (PM10-PM2.5)/PM2.5는 0.75~7.12, 극미세입자와 초극미세입자의 비율을 나타내는 (PM2.5-PM1)/PM1는 0.23~1.90로 나타났으며, 황사가 관측되는 기간에는 0.60~1.25와 0.21~0.37을 각각 나타내었다. 강릉시에 황사가 나타나기 전에는 2.5μm 큰 입자들이 2.5μm 이하의 극미세입자보다 PM10의 농도에 큰 영향을 주었으나, 황사가 관측되는 기간에는 2.5μm 이하의 극미세입자들이 PM10의 고농도 출현에 크게 기여하였다. 황사가 관측되는 기간에는 지역의 PM고농도에 2.5μm 이상의 큰 입자가 기여하는 일반적인 양상과 반대였다.

The purpose of this study was to analyze the characteristics of spacio-temporal variation for PM10 and PM2.5 concentration in Busan. PM10 concentration has been reduced for the past three year and exceeded 50 ㎍/㎥ of the national standard for PM10. PM2.5 concentration showed gradual decrease or stagnant trends and exceeded the U.S. EPA standard. Seasonal analysis of PM10 and PM2.5 suggested spring>winter>fall>summer(by Asian dust) and winter>spring>summer>fall(by anthropogenic effect) in the order of high concentration, respectively. Characterization of diurnal variations suggests that PM10 levels at all the three sites consistently exhibited a peak at 1000LST and PM2.5 at Jangrimdong experienced the typical PM2.5 diurnal trends such that a peak was observed in the morning and the lowest level at 1400LST. In the case of seasonal trends, the PM2.5/PM10 ratio was in the order of summer>winter>fall>spring at all the study sites, with a note that spring bears the lowest concentration. During AD events, PM10 concentration exhibited the highest level at Jangrimdong and the lowest level at Joadong. And PM2.5/PM10 ratio in AD was 0.16∼0.28.

In an effort to characterize temporal and spatial variability of PM10 and to quantitatively estimate contribution of sea salt aerosol to PM10 mass in Busan area, twenty four-hour averaged concentration of PM10 were measured in two distinct areas, Gwaebeopdong(inland) and Dongsamdong(seashore), Busan for summer and fall, 2007. It was found that sea salt accounted for 2.9% and 9.5% of PM10 mass in Gwaebeopdong and Dongsamdong, respectively for the study period, indicating that contribution of sea salt to PM10 mass and total ion concentration in seashore area were consistently higher by a factor of three compared to inland area. Temporal analysis suggested that sea salt contributions to PM10 in Dongsamdong were higher in summer due to the southerly sea breeze while there was no significant fluctuation of sea salt contribution for the summer and fall months in Gwaebeopdong. Sea salt enrichment factors(EFsea) of K + , Ca 2+ and SO4 2- (>10) indicated major contributions from anthropogenic sources and EFs of Mg 2+ and Cl - exhibited strong association with oceanic origins for both areas.

In this study, in order to analyze the air quality of the indoor environments of schools, we measured the indoor, outdoor and personal exposure concentration level of PM10 for 40 classrooms(20 old, 20 new) in chungnam area from June 22 to July 19 and from November 21 to December 30, 2003. 1. Old classrooms contained more dust than new classrooms; the average of respirable dust is 43.27 ㎍/㎥ for new classrooms while 53.38 ㎍/㎥ for old one. The exposure concentration level of respirable dust in new classrooms were in summer higher outdoors than indoors. The values were indoors 46.71 ㎍/㎥, outdoors 50.46 ㎍/㎥, and personal 41.62 ㎍/㎥. Meanwhile in winter indoors had a higher concentration level than outdoors, the values being indoors 39.11 ㎍/㎥, outdoors 34.86 ㎍/㎥, and personal 49.01 ㎍/㎥. 2. Cr concentration level within dust was slightly higher in summer indoors (101.50±32.10 ng/㎥) and outdoors (100.89±35.18 ng/㎥) than winter indoors (85.80±48.95 ng/㎥) and outdoors (74.43±38.93 ng/㎥), but in personal concentration level, winter was higher. The results of this research show insufficient understanding of health risks from indoor air pollution, and shows possible health problems to students from school indoor air pollution. As such, a logical and systematic education program for students about the importance of indoor air quality should be carried out. Also the results of PM10 concentration level measurements emphasize the need for regular measurements of indoor / outdoor and personal concentration level. New classrooms in particular needs to be used after measuring pollutants and safety, and requires installation of a ventilation device in all classrooms to improve air quality.

In order to investigate the variations and corelation among PM10, PM2.5 and PM1 concentrations, the hourly concentrations of each particle sizes of 300 ηm to 20 μm at a city, Gangneung in the eastern mountainous coast of Korean peninsula have been measured by GRIMM aerosol sampler-1107 from March 7 to 17, 2004. Before the influence of the Yellow Dust event from China toward the city, PM10, PM2.5 and PM1 concentrations near the ground of the city were very low less than 35.97 μg/m3, 22.33 μg/m3 and 16.77 μg/m3, with little variations. Under the partial influence of the dust transport from the China on March 9, they increased to 87.08 μg/m3, 56.55 μg/m3 and 51.62 μg/m3. PM10 concentration was 1.5 times higher than PM2.5 and 1.85 times higher than PM1. Ratio of (PM10-PM2.5)/PM2.5 had a maximum value of 1.49 with an averaged 0.5 and one of (PM2.5-PM1)/PM1 had a maximum value of 0.4 with an averaged 0.25. PM10 and PM2.5 concentrations were largely influenced by particles smaller than 2.5 μm and 1 μm particle sizes, respectively. During the dust event from the afternoon of March 10 until 1200 LST, March 14, PM10, PM2.5 and PM1 concentrations reached 343.53 μg/m3, 105 μg/m3 and 60 μg/m3, indicating the PM10 concentration being 3.3 times higher than PM2.5 and 5.97 times higher than PM1. Ratio of (PM10-PM2.5)/PM2.5 had a maximum value of 7.82 with an averaged 3.5 and one of (PM2.5-PM1)/PM1 had a maximum value of 2.8 with an averaged 1.5, showing PM10 and PM2.5 concentrations largely influenced by particles greater than 2.5 μm and 1 μm particle sizes, respectively. After the dust event, the most of PM concentrations became below 100 μg/m3, except of 0900LST, March 15, showing the gradual decrease of their concentrations. Ratio of (PM10-PM2.5)/PM2.5 had a maximum value of 3.75 with an averaged 1.6 and one of (PM2.5-PM1)/PM1 had a maximum value of 1.5 with an averaged 0.8, showing the PM10 concentration largely influenced by corse particles than 2.5 μm and the PM2.5 by fine particles smaller than 1 μm, respectively. Before the dust event, correlation coefficients between PM10, PM2.5 and PM1 were 0.89, 0.99 and 0.82, respectively, and during the dust event, the coefficients were 0.71, 0.94 and 0.44. After the dust event, the coefficients were 0.90, 0.99 and 0.85. For whole period, the coefficients were 0.54, 0.95 and 0.28, respectively.

PM10 samples were collected from July 2007 to Oct. 2007 at Gwaebopdong(inland area) and Dongsamdong (coastal area), in Busan. This paper investigates the contribution of emission sources to PM10 mass in Busan. Source apportionment results derived from the chemical mass balance(CMB) method. A source profiles applied in this study is organized to minimize the collinearity among sources type via statistical method. Source profiles applied in this study utilized a measured value of fine particle directly sampled from metropolitan area such as Seoul and Incheon, After a CMB modeling, sulfate and nitrate related sources among those contributing to PM10 in Busan showed high contribution by 36.53% in Gwaebopdong and 42.02% in Dongsamdong.

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.

The research was conducted to simulate and interpret the change of PM10 profile by Asian dust using the CALPUFF modeling system for the period April 6 through 18, 2001. The results, which are represented a daily variation of PM10 concentration before and after Asian dust, was located between a minimum concentration of 50 μg/㎥ and a maximum concentration of 100 μg/㎥. Most concentration peaks in the PM10 profile were shown within a level below 500 m and had a pattern that rapidly increased up the peak and decreased after the peak to 1000 m. Even though the shapes of the vertical profile during Asian dust days were similar to non-Asian dust days, no rapid change vertically was observed. In particular, the vertical profile on 1200 LST and 1800 LST was noticeably shifted to the higher concentrations, which means PM10 in the atmosphere was changed into a vertically and horizontally heterogeneous form under the Asian dust event. Finally, it is confirmed that the simulation result from CALPUFF might schematically sketched atmospheric PM10 profiles and their change by Asian dust throughout the comparison with profiles of aerosol extinction coefficients, which were acquired from Lidar measurement at KGAWO.

Since low-floor apartments are vertically closer to parking lots and roadways, it is hypothesized that residents in low-floor apartments may be exposed to elevated ambient levels of motor vehicle emissions compared to residents in high-floor apartments. The present study examined this hypothesis by measuring two motor vehicle source-related pollutants(CO and PM10) in ambient air of high-rise apartment buildings within the boundary of industrial complexes according to atmospheric stability. The ambient air concentrations of CO and PM10 were higher for low-floor apartments than for high-floor apartments, regardless of atmospheric stability. The median concentration ratio of the low-floor air to high-floor air ranged from 1.3 to 2.0, depending upon atmospheric stabilities, seasons and compounds. Moreover, the CO and PM10 concentrations were significantly higher in the winter and in the summer, regardless of the floor height. Atmospheric stability also was suggested to be important for the residents' exposure of high-rise apartment buildings to both CO and PM10. The median ratios of surface inversion air to non-surface inversion air ranged from 1.2 to 1.7 and from 1.0 to 1.6 for PM10 and CO, respectively, depending upon seasons. Conclusively, these parameters(apartment floor height, season, and atmospheric stability) should be considered when evaluating the exposure of residents, living in high-rise apartment buildings, to CO and PM10. Meanwhile, the median PM10 outdoor concentrations were close to or higher than the Korean annual standards for PM10, and the maximum PM10 concentrations substantially exceeded the Korean PM10 standard, thus suggesting the need for a management strategy for ambient PM10. Neither the median nor the maximum outdoor CO concentrations, however, were higher than the Korean CO standard.