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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.2
- 수록면
- 38 - 55 (18page)
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This study has been performed to select several indicators of long-range transport process that can be applied to the Northeast Asia. We first classified high air pollution days into long-range transport (LRT) dominant cases and the local emission dominant (LED) cases based on the synoptic meteorological variables including vorticity and geostrophic wind speed/direction at a geopotential level of 850 hPa. LRT cases were further categorized into two types: LRT-I type with air mass pathways from northern China and/or Mongolia, and LRT-II type from central and southern China. In each categorized case, we examined the difference of both measured aerosol optical properties of AERONET at two sites in western Korea, and the simulated characteristics of LRT process by MM5-CMAQ model. We contrasted LRT case with LED case, and then generated the LRT indicators applicable to Northeast Asia.
The results showed that fine and coarse modes of LRT-II were relatively smaller than LED and LRT-I cases, respectively. Aerosol size distribution showed significantly higher concentration of fine-mode particle (mainly smoke or urban aerosols) in LED case in comparison with that of LRT groups (LRT-I, II), suggesting the amplitudes fine modes of LRT relative to LED as a possible LRT indicator. From the results of MM5-CMAQ modeling, we concluded that the conversion ratios for sulfur (Fs) were the most effective indicators of LRT cases, and the ratio of VOC to NOx and NOx to CO were found to be the second most effective indicators of LED case.
The results showed that fine and coarse modes of LRT-II were relatively smaller than LED and LRT-I cases, respectively. Aerosol size distribution showed significantly higher concentration of fine-mode particle (mainly smoke or urban aerosols) in LED case in comparison with that of LRT groups (LRT-I, II), suggesting the amplitudes fine modes of LRT relative to LED as a possible LRT indicator. From the results of MM5-CMAQ modeling, we concluded that the conversion ratios for sulfur (Fs) were the most effective indicators of LRT cases, and the ratio of VOC to NOx and NOx to CO were found to be the second most effective indicators of LED case.
목차
Abstract
1. 서론
2. 연구 방법 및 자료
3. 결과 분석 및 고찰
4. 결론 및 요약
참고문헌
참고문헌 (20)
참고문헌 신청
1. [학위논문] - Ahn, J.Y / 2004 / Distribution and long-range transport of air pollutants over the Yellow Sea / 박사 / Konkuk University
3. [학술지(정기간행물)] - Chun, M.Y / 1992 / A study on equilibrium of NH4NO3(s) - HNO3(g) - NH3(g) in urban atmosphere / J. Korea Air Pollut. Res. Assoc 8 (3) : 198 ~ 203
4. [학술지(정기간행물)] - Grosjean, D. / 1975 / Gas-particle distribution factors for organic and other pollutants in the Los Angeles atmosphere / J. Air Pollut. Control Assoc. 25 : 1038 ~ 1044
6. [학술지(정기간행물)] - Khoder, M.I. / 2002 / Atmospheric conversion of sulfur dioxide to particulate sulfate and nitrogen dioxide to particulate nitrate and gaseous nitric acid in an urban area / Chemosphere 49 : 675 ~ 684
7. [학술지(정기간행물)] - Kim, C. -H. / 2012 / A numerical study on indicators of long-range transport potential for anthropogenic particulate matters over northeast Asia / Atmos. Environ. 58 : 35 ~ 44
3. [학술지(정기간행물)] - Chun, M.Y / 1992 / A study on equilibrium of NH4NO3(s) - HNO3(g) - NH3(g) in urban atmosphere / J. Korea Air Pollut. Res. Assoc 8 (3) : 198 ~ 203
4. [학술지(정기간행물)] - Grosjean, D. / 1975 / Gas-particle distribution factors for organic and other pollutants in the Los Angeles atmosphere / J. Air Pollut. Control Assoc. 25 : 1038 ~ 1044
6. [학술지(정기간행물)] - Khoder, M.I. / 2002 / Atmospheric conversion of sulfur dioxide to particulate sulfate and nitrogen dioxide to particulate nitrate and gaseous nitric acid in an urban area / Chemosphere 49 : 675 ~ 684
7. [학술지(정기간행물)] - Kim, C. -H. / 2012 / A numerical study on indicators of long-range transport potential for anthropogenic particulate matters over northeast Asia / Atmos. Environ. 58 : 35 ~ 44
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UCI(KEPA) : I410-ECN-0101-2014-539-000267971