• Journal of Chest Surgery
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• 제38권7호
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• pp.496-500
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• 2005

심장판막질환의 외과적 교정에 사용되는 수종의 기계판막들은 각기의 장점들을 주장하고 있으나, 중장기의 임상적 결과에는 유의한 차이를 보이지 않는다. 기계적 기능의 차이를 단순 비교하기는 어려우나 수술 후에 시행한 초음파심음향도로 측정한 판막간 압력차와 유효개구면적을 비교하여 다양한 기계판막들간의 기능을 비교하고자 한다. 대상 뜻 방법: 1995년부터 2003년 사이에 아주대학교병원 흥부외과에서 기계판막으로 치환술을 받았던 345명의 환자들에 사용되었던 396개의 기계판막을 대상으로 후향적 분석을 하였다. 사용되었던 판막으로는 Sorin Bicarbon, SJM, ATS, On-X, 그리고 Edward MRA로 5종류였다. 판막의 위치는 승모판막이 232개, 대동맥판막이 162, 그리고 삼첨판막이 2개였으며, 이중 다중판막치환술이 51예에서 있었다. 수술 후 14일이 지난 후에 시행한 초음파심음향도에서 유효개구면적, 수축기 평균압력차, 그리고 이완기 평균압력차를 지표로 통계학적인 비교분석을 하였다. 결과: 345명의 대상환자중 남자가 178명, 여자가 167이었고, 평균연령은 남자/여자가 $50.6\pm13.9/52.6\pm14.6$세였다. 승모판막의 경우 27mm에서는 MDPG/EOA가 Sorin; $4.2\pm1.5 mmHg/3.0\pm0.9cm^2,\;SJM;\;2.3\pm1.2/3.5\pm0.6$였으며, 31m에서는 Sorin, SJM, ATS, Mmh가 $3.9\pm1.9/2.9\pm0.6,\;3.5\pm1.2/3.0\pm0.6,\;3.4\pm0.8/2.8\p,0.2,\;3.7\pm1.5/2.7\pm0.7$ 였으며, 31mmdptjsms Sorin, SJM, ATS, MIRA가 $3.9\pm1.9/2.9\pm0.6,\;3.5\pm1.2/3.0\pm0.6,\;3.4\pm0.8/2.8\pm0.2,\;3.7\pm1.5/2.7\pm0.7$였으며, 33 m에서는 Sorin, SJM, MIRA가 $4.4\pm0.9/2.5\pm0.4,\;3.4\pm1.5/3.3\pm0.5,\;4.7\pm2.4\3.0\pm0.3$이었다. 대동맥판막의 경우 19mm에서 MSPG/EOA가 Sorin, SJM, ATS, On-X, MIRA가 $18.0 mmHg/1.2cm^2,\;25.6\pm8.7/1.1\pm0.3,\;25.9\pm12.6/1.2\pm0.3,\;23.0/1.3,\;27.9\pm7.1/1.2\pm0.1$였으며, 21mm에서는 SJM, ATS, On-X, MIRA가 $18.3\pm6.7/1.5\pm0.5,\;13.7\pm2.1/1.7\pm0.3,\;17.0/1.4,\;17.1\pm5.5/1.8\pm0.5$였으며, 23 m에서는 Sorin, SJM, ATS On-X, MIRA가 $14.0\pm4.6/1.7\pm0.6,\;12.8\pm3.2/2.0\pm0.2,\;16.8\pm12.2/2.1\pm0.9,\;14.0/1.5,\;15.0\pm5.5/1,8\pm0.5$이었다 25mm에서는 SJM과 MIRA가 $14.0\pm5.1/1.8\pm1.0,\;11.0/2.3$이었다. 통계학적인 분석을 한 결과 같은 위치에 같은 크기의 판막들간에는 통계적으로 유의한 차이가 없었다. 판막재치환을 한 경우는 용혈로 인한 재치환이 ATS에서 1예, 판엽고정에 의한 재치환이 SJM에서 1예 있었다. 결론: 최근 국내에서 흔히 사용되고 있는 5종의 기계판막을 수술 후에 초음파심음향도로 추적조사한 결과 동일한 판막크기에서 각 판막간의 기능적 차이는 없는 것으로 조사되었다.

• 한국대기환경학회지
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• 제28권6호
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• pp.697-705
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• 2012

Particulate matter (PM) data collected from the Urban Air Monitoring Network in Busan during the period from 2006 through 2010 were statistically examined and analyzed to estimate the probability of exceeding $PM_{2.5}$ 24 hour and annual standard to be implemented from January $1^{st}$, 2015. For Jangrimdong, Yeonsandong, Kijangeup, and Jwadong where simultaneous measurement of $PM_{10}$ and $PM_{2.5}$ was conducted, the probability of exceeding $PM_{2.5}$ standards was estimated using $PM_{2.5}$ data measured on site. For other areas where there were no measured $PM_{2.5}$ data available, the probability of exceeding $PM_{2.5}$ standards was statistically estimated using $PM_{10}$ measured on site and $PM_{2.5}/PM_{10}$ ratios obtained from the four stations where both $PM_{2.5}$ and $PM_{10}$ were monitored simultaneously. At Jangrimdong, Yeonsandong, Kijangeup, and Jwadong, mean value of annual 99 percentile of 24 hr average $PM_{2.5}$ for 5 years from 2006 through 2010 was 99.3, 74.5. 57.0, and $62.5{\mu}g/m^3$, respectively, and the probability of exceeding $PM_{2.5}$ 24 hr standard was estimated at 100%. For areas where there were no measured $PM_{2.5}$ data available, the estimated probability of exceeding $PM_{2.5}$ 24 hr standard was more than 0.82. Mean value of annual average $PM_{2.5}$ from 2008 through 2010 was 31.7 and $27.6{\mu}g/m^3$ for Jangrimdong and Yeonsandong, respectively, which exceeded $PM_{2.5}$ annual standard of $25{\mu}g/m^3$. Mean value of annual average $PM_{2.5}$ during the same period for Kijangeup and Jwadong was 19.2 and $20.7{\mu}g/m^3$, respectively, which satisfied $PM_{2.5}$ annual standard. For other areas where there were no measured $PM_{2.5}$ data available, the probability of exceeding $PM_{2.5}$ annual standard was more than 0.95 except Taejongdae and Kwangahndong. With $PM_{10}$ and $PM_{2.5}$ data measured at 17 Urban Air Monitoring Stations in Busan, the probability of exceeding $PM_{2.5}$ standards was estimated to be very high for almost all areas. This result indicates that proper measures to mitigate $PM_{2.5}$ in Busan should be investigated and established as soon as possible.

• 한국환경보건학회지
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• 제36권1호
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• pp.61-71
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• 2010

Intensive measurements of airborne respirable $PM_{2.5}$ and inhalable $PM_{2.5}$ were conducted in the downtown area of Iksan city. The $PM_{2.5}$ and $PM_{2.5}$ samples were collected twice a day in the Iksan city of Korea from October 17 to November 1, 2004. The purpose of the study was to determine the inorganic water-soluble components and trace elements of $PM_{2.5}$ and $PM_{2.5}$ in the atmospheric environment and estimate the contribution rate of major chemical components from a mass balance of all measured particulate species. The chemical analysis for PM samples was conducted for water-soluble inorganic ions using ion chromatography and trace elements using PIXE analysis. The mean concentrations of respirable $PM_{2.5}$ and inhalable $PM_{2.5}$ were $51.4{\pm}29.7$ and $79.5{\pm}39.6\;{\mu}g/m^3$, respectively, and the ratio was 0.62. The ion species of $NO_3$, $SO_4^2$, and $NH_4^+$ were abundant in both $PM_{2.5}$ and $PM_{2.5}$. These components predominated in respirable $PM_{2.5}$ fraction, while $Na^+$, $Mg^{2+}$, $Ca^{2+}$ mostly existed in coarse particle mode. Elemental components of S, Cl, K, and Si were abundant in both $PM_{2.5}$ and $PM_{2.5}$. These elements, except for Si, were considered to be emitted from anthropogenic sources, while Si, Al, Fe, Ca existed mainly in coarse particle mode and were considered to be emitted from crustal materials. The averaged mass balance analysis showed that ammonium nitrate, ammonium sulfate, crustal component, and other trace elements were composed of 18.4%, 13.2%, 4.8%, 3.5% for PM2.5 and 17.0%, 11.6%, 13.7%, 4.4% for $PM_{2.5}$, respectively.

• 한국환경과학회지
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• 제21권2호
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• pp.217-231
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• 2012

Hourly concentrations of $PM_1$, $PM_{2.5}$ and $PM_{10}$, 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, $PM_{10}$($PM_{2.5}$, $PM_1$) concentration was generally low, more or less than 20 (10, 5) ${\mu}g/m^3$, 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 $PM_{10}$ and $PM_{2.5}$($PM_{2.5}$ and $PM_1$, and $PM_{10}$ and $PM_1$) was very high with 0.90(0.99, 0.84), and fractional ratios of $(PM_{10}-PM_{2.5})/PM_{2.5}((PM_{2.5}-PM_1)/PM_1)$ were 1.37~3.39(0.23~0.54), respectively. It implied that local $PM_{10}$ concentration could be greatly affected by particulate matters of sizes larger than $2.5{\mu}m$, and $PM_{2.5}$ concentration could be by particulate matters of sizes smaller than $2.5{\mu}m$. During the dust intrusion, maximum concentration of $PM_{10}$($PM_{2.5}$, $PM_1$) reached 154.57(93.19, 76.05) ${\mu}g/m^3$ with 3.8(3.4, 14.1) times higher concentration than before the dust intrusion. As correlation coefficient of $PM_{10}$ and $PM_{2.5}$(vice verse, $PM_{2.5}$, $PM_1$) was almost perfect high with 0.98(1.00, 0.97) and fractional ratios of $(PM_{10}-PM_{2.5})/PM_{2.5}((PM_{2.5}-PM_1)/PM_1)$ were 0.48~1.25(0.16~0.37), local $PM_{10}$ concentration could be major affected by particulates smaller than both $2.5{\mu}m$ and $1{\mu}m$ (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 $PM_{2.5}$ and $PM_1$ and $(PM_{10}-PM_{2.5})/PM_{2.5}((PM_{2.5}-PM_1)/PM_1)$ were 1.13~1.91(0.29~1.90), concentrations of coarse particulates larger than $2.5{\mu}m$ greatly contributed to $PM_{10}$ concentration, again. For a whole period, as the correlation coefficients of $PM_{10}$, $PM_{2.5}$, $PM_1$ were very high with 0.94, 1.00 and 0.92, reliable regression equations among PM concentrations were suggested.

• 한국환경과학회지
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• 제23권5호
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• pp.819-827
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• 2014

This study analyzes the chemical composition of metallic elements and water-soluble ions in $PM_{10}$ and $PM_{2.5}$. $PM_{10}$ and $PM_{2.5}$ concentrations in Busan during 2010-2012 were $97.2{\pm}67.5$ and $67.5{\pm}32.8{\mu}g/m^3$, respectively, and the mean $PM_{2.5}/PM_{10}$ concentration ratio was 0.73. The contribution rate of water-soluble ions to $PM_{10}$ ranged from 29.0% to 58.6%(a mean of 38.6%) and that to $PM_{2.5}$ ranged from 33.9% to 58.4%(a mean of 43.1%). The contribution rate of sea salt to $PM_{10}$ was 13.9% for 2011 and 9.7% for 2012, while that to $PM_{2.5}$ was 17.4% for 2011 and 10.1% for 2012. $PM_{10}$ concentration during Asian dust events was $334.3{\mu}g/m^3$ and $113.3{\mu}g/m^3$ during non-Asian dust events, and the $PM_{10}$ concentration ratio of Asian Dust/Non Asian dust was 2.95. On the other hand, the $PM_{2.5}$ concentration in Asian dust was $157.4{\mu}g/m^3$ and $83.2{\mu}g/m^3$ in Non Asian dust, and the $PM_{2.5}$ concentration ratio of Asian Dust/Non Asian dust was 1.89, which was lower than that of $PM_{10}$.

• 한국산학기술학회논문지
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• 제13권1호
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• pp.445-450
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• 2012

2015년 대기환경기준에 추가되는 PM2.5의 천안시 대기 중 오염도를 조사하기 위해, 2010년 2월부터 2011년 1월까지 천안시 상명대학교에 광산란방식의 Dust Monitor를 설치하여 대기 중 연간 PM2.5 농도 특성을 PM10 농도와 같이 조사하였다. 측정 기간 중 연평균 PM2.5 농도는 $40.45{\mu}g/m^3$으로 시행예정인 연평균 기준인 $25{\mu}g/m^3$을 초과하였다. 일평균 PM2.5 농도는 $2.43{\sim}174.84{\mu}g/m^3$으로, 전체 측정 기간 중 약 26%의 측정일이 일평균 기준치인 $50{\mu}g/m^3$을 초과하였다. 같은 기간 중 일평균 PM10 농도 기준을 초과하는 측정일 수는 11%로 나타나, PM2.5의 오염도가 PM10에 비해 상대적으로 심각함을 나타냈다. 계절별로는 봄과 겨울철에 높은 PM2.5 농도를 보였으며, 강우의 영향을 많이 받는 여름철의 PM2.5 오염도가 다른 계절에 비해 상대적으로 낮았다. 일 중 PM2.5의 농도 분포는 출퇴근 시간대에 높은 농도를 나타내는 전형적인 도시형 특성을 나타냈으며, 이는 인위적 배출원 중 이동오염원에 의해 생성되는 미세 입자가 PM2.5의 주요 성분임을 시사한다.

• 대한환경공학회지
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• 제32권8호
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• pp.739-746
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• 2010

본 연구의 목적은 1) 시료채취공간에서 ${\pm}10%$ 이내의 공기 유속을 가지는 챔버시스템을 제작하여, 2) 먼지(PM, particulate matter)측정을 위하여 사용되는 PM10과 PM2.5 시료채취기의 이론적 특성을 연구하고, 3) 실험을 통하여 본 연구에 사용된 먼지 시료채취기의 수행 특성을 평가하는데 있다. 챔버 내에서의 먼지 시료채취기의 수행능력을 측정하기 위하여 $20\;{\mu}m$의 공기역학중위입경과 2.0의 기하표준편차 특성을 가지는 옥수수전분을 분포하였다. 챔버 실험에 사용된 시료채취기는 미국 연방규정을 만족하는 각 1개의 APM PM10 및 APM PM2.5 시료채취기와 특수 제작된 3개의 소용량 시료채취기(2개 PM10과 1개의 PM2.5)를 사용하여 평균 공기 유속이 0.67 m/s와 2.15 m/s인 두 조건에서 각 1시간씩 3회 반복하여 총 6회의 실험을 실시하였다. 실험 결과, APM PM시료채취기를 기준 시료채취기로 사용하여 소용량 PM10과 PM2.5 시료채취기는 각 각 0.25와 0.39의 보정계수가 필요하며 이원 분산 분석을 통하여 두 개의 소용량 PM10 시료채취기의 평균 농도값 사이에는 유의적 차이가 있었다. 분리한계직경과 기울기(PM10: $10{\pm}0.5\;{\mu}m$와 $1.5{\pm}0.1$, PM2.5: $2.5{\pm}0.2\;{\mu}m$와 $1.3{\pm}0.03$)를 가지는 PM10과 PM2.5 시료채취기는 이론적으로 본 연구에 사용된 옥수수전분의 입자특성을 고려하여 86~114%와 64~152%의 먼지농도 범위를 채취하게 된다. 또한, 공기 중에 분포하는 입자의 공기역학중위입경이 해당 시료채취기의 분리한계직경보다 작을 때 시료채취기의 측정 질량농도는 이상적인 질량농도보다 크며, 반대의 경우 시료채취기는 작은 질량농도를 측정한다. 챔버 실험 결과, PM10과 PM2.5의 시료채취기는 각각 37~158%와 55~149% 범위를 가지며 이론적 계산농도보다 큰 범위의 질량 농도를 측정하였고 챔버 내 공기 유속이 2.15 m/s의 조건에서는 0.67 m/s와 비교하여 상대적으로 작은 먼지농도 범위를 가지며 이론적 계산농도와 유사한 먼지농도 범위가 측정되었다.

• 대한원격탐사학회지
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• 제37권6_2호
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• pp.1793-1801
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• 2021

2015년 1월부터 2020년 6월까지 라이다를 이용하여 측정된 532와 1064 nm의 후방산란계수와 532 nm의 편광소멸도를 이용하여 532 nm의 후방산란계수를 PM₁₀, PM_2.5-10, PM_2.5에 해당하는 세 유형으로 구분하고 지상에서 측정된 질량 농도를 이용하여 각각의 질량소산효율을 산출하였다. 산출된 질량소산효율의 전체 평균값은 PM₁₀, PM_2.5-10, PM_2.5에서 각각 5.1±2.5, 1.7±3.7, 9.3±6.3 m²/g으로 PM_2.5가 가장 높은 값을 보였다. PM₁₀과 PM_2.5의 질량 농도가 낮을 때 평균 이상의 높은 질량소산효율이 산출되었으며 질량 농도가 높아질수록 질량소산효율이 감소되는 경향을 확인하였다. 황사의 혼합 정도에 따른 유형별로 질량소산효율을 산출하였을 때, PM_2.5-10는 황사의 영향으로 오염입자(pollution aerosol, PA)가 2.1±2.8 m²/g으로 오염입자가 주요한 혼합입자(pollution-dominated mixture, PDM), 황사가 주요한 혼합입자 (dust-dominated mixture, DDM), 순수황사 (pure dust, PD)의 1.1±1.8, 1.4±3.3, 1.1±1.5 m²/g보다 두 배 정도 높은 값을 보였다. 하지만, PM_2.5는 9.4±6.5, 9.0±5.8, 10.3±7.5, 9.1±9.0 m²/g으로 유형 구분 없이 비슷한 값을 보였다. PM₁₀의 질량소산효율은 PA, PDM, DDM, PD 에서 각각 5.6±2.9, 4.4±2.0, 3.6±2.9, 2.8±2.4 m²/g으로 황사의 비율이 감소할수록 증가하는 경향을 보였다. 동일한 질량 농도 또는 황사 혼합에 따른 동일한 유형을 보이더라도 PM_2.5/PM₁₀ 값이 낮아질수록 PM_2.5-10의 질량소산효율은 감소하고, PM_2.5의 질량소산효율은 증가하는 경향을 보였다.

• 한국환경과학회지
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• 제22권6호
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• pp.651-666
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• 2013

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.

• 한국환경과학회지
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• 제17권6호
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• pp.633-645
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• 2008

In order to investigate the variations and corelation among $PM_{10},\;PM_{2.5}\;and\;PM_1$ concentrations, the hourly concentrations of each particle sizes of 300nm to $20{\mu}m$ 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, $PM_{10},\;PM_{2.5}\;and\;PM_1$, concentrations near the ground of the city were very low less than $35.97{\mu}g/m^3,\;22.33{\mu}g/m^3\;and\;16.77{\mu}g/m^3$, with little variations. Under the partial influence of the dust transport from the China on March 9, they increased to $87.08{\mu}g/m^3,\;56.55{\mu}g/m^3\;and\;51.62{\mu}g/m^3$. $PM_{10}$ concentration was 1.5 times higher than $PM_{2.5}$ and 1.85 times higher than $PM_1$. Ratio of $(PM_{10}-PM_{2.5})/PM_{2.5}$ had a maximum value of 1.49 with an averaged 0.5 and one of $(PM_{2.5}-PM_1)/PM_1$ had a maximum value of 0.4 with an averaged 0.25. $PM_{10}\;and\;PM_{2.5}$ concentrations were largely influenced by particles smaller than $2.5{\mu}m\;and\;1{\mu}m$ particle sizes, respectively. During the dust event from the afternoon of March 10 until 1200 LST, March 14, $PM_{10},\;PM_{2.5}\;and\;PM_1$ concentrations reached $343.53{\mu}g/m^3,\;105{\mu}g/m^3\;and\;60{\mu}g/m^3$, indicating the $PM_{10}$ concentration being 3.3 times higher than $PM_{2.5}$ and 5.97 times higher than $PM_1$. Ratio of $(PM_{10}-PM_{2.5})/PM_{2.5}$ had a maximum value of 7.82 with an averaged 3.5 and one of $(PM_{2.5}-PM_1)/PM_1$, had a maximum value of 2.8 with an averaged 1.5, showing $PM_{10}\;and\;PM_{2.5}$ concentrations largely influenced by particles greater than $2.5{\mu}m\;and\;1{\mu}m$ particle sizes, respectively. After the dust event, the most of PM concentrations became below $100{\mu}g/m^3$, except of 0900LST, March 15, showing the gradual decrease of their concentrations. Ratio of $(PM_{10}-PM_{2.5})/PM_{2.5}$ had a maximum value of 3.75 with an averaged 1.6 and one of $(PM_{2.5}-PM_1)/PM_1$ had a maximum value of 1.5 with an averaged 0.8, showing the $PM_{10}$ concentration largely influenced by corse particles than $2.5{\mu}m$ and the $PM_{2.5}$ by fine particles smaller than $1{\mu}m$, respectively. Before the dust event, correlation coefficients between $PM_{10},\;PM_{2.5}\;and\;PM_1$, 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.