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자료유형
학술저널
저자정보
저널정보
한국기상학회 대기 대기 Vol.18 No.1
발행연도
2008.3
수록면
25 - 32 (8page)

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Log normalized volume size distribution (dV/dlogDp) with 52 size ranges from 0.5 to 20.0 ㎛ was measured for the cases of high PM10 mass concentration (> 200 ㎍ m<SUP>-3</SUP>) using the Aerodynamic Particle Sizer (APS) at the Korea Global Atmosphere Watch Center (KGAWC) from 6 April, 2006 to 5 April, 2007. Black Carbon (BC), gaseous pollutants of NOX and SO₂, and Angstrom exponent were also measured to examine the properties of the volume size distribution. From distinct difference of the high volume concentration (> 100 ㎛³㎝<SUP>-3</SUP>), the volume size distribution for each event day was classified into four types: (1) Type 1 had the high volume concentration for supermicron particles from 2.3 to 6.0 ㎛ and maximum average volume concentration was 160.7 ㎛³㎝<SUP>-3</SUP> at 3.5 ㎛. (2) Type 2 represented the high volume concentration in the both size range of submicron (0.7?1.0 ㎛) and supermicron particles (2.1?4.1 ㎛) and similar maxima of 126.1 ㎛³㎝<SUP>-3</SUP> and 136.2 ㎛³㎝<SUP>-3</SUP> were found at 0.8 and 3.3 ㎛ respectively. (3) Type 3 showed the high volume concentration in the size range of 0.5?3.5 ㎛ and highest volume concentration of 201.1 ㎛³㎝<SUP>-3</SUP> at the particle size bin of 0.8 ㎛. (4) Type 4 was characterized by the high volume concentration for the fine particles less than 1.2 ㎛ and very high concentration of 446.8 ㎛³㎝<SUP>-3</SUP>. Angstrom exponent, concentration of gaseous (NOX and SO2), and particle (BC) pollutants suggested that Type 1 was a typical volume size distribution for the Asian dust and Type 3 provided transportation of air pollutants. The distribution in Type 2 found to have both characteristics of the Asian dust and air pollutants, and Type 4 was took place during the foggy atmosphere containing high density of local pollutants. Based on the properties of volume size distribution, we can identify the three major events contributing the increase of PM10 mass concentration, and hope to provide a guideline for discriminating the Asian dust from high PM10 events. More case studies and longer measurements provide a data set to advance this determination method.

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Abstract
1. 서론
2. 관측
3. 결과
4. 요약 및 결론
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