[논문]2015년~2021년 한반도 고농도 미세먼지 사례의 유형분류에 따른 기상학적 특징 분석

지준범; 조창래; 김유준; 박승식

doi:10.14191/atmos.2022.32.2.119

[국내논문] 2015년~2021년 한반도 고농도 미세먼지 사례의 유형분류에 따른 기상학적 특징 분석
Analysis of Meteorological Characteristics by Fine Dust Classification on the Korean Peninsula, 2015~2021 원문보기

대기 = Atmosphere, v.32 no.2, 2022년, pp.119 - 133

지준범 (한국외국어대학교 대기환경연구센터) , 조창래 (한국외국어대학교 대기환경연구센터) , 김유준 (국립기상과학원 재해기상연구부) , 박승식 (전남대학교 환경에너지공학과)

Abstract ▼ AI-Helper

From 2015 to 2021, high-concentration fine dust episodes with a daily average PM2.5 concentration of 50 ㎍ m-3 or higher were selected and classified into 3 types [long range transport (LRT), mixed (MIX) and Local emission and stagnant (LES)] using synoptic chart and backward trajectory analysis. And relationships between the fine particle data (PM2.5 and PM10 concentration and PM2.5/PM10 ratio) and meteorological data (PBLH, Ta, WS, U-wind, and Rainfall) were analyzed using hourly observation for the classification episodes on the Korean Peninsula and the Seoul metropolitan area (SMA). In LRT, relatively large particles such as dust are usually included, and in LES, fine particle is abundant. In the Korean peninsula, the rainfall was relatively increased centered on the middle and western coasts in MIX and LES. In the SMA, wind speed was rather strong in LRT and weak in LES. In LRT, rainfall was centered in Seoul, and in MIX and LES, rainfall appeared around Seoul. However, when the dust cases were excluded, the difference between the LRT and other types of air quality was decreased, but the meteorological variables (Ta, RH, Pa, PBLH, etc.) were further strengthened. In the case of the Korean Peninsula, it is difficult to find a clear relationship because regional influences (topographical elevation, cities and coasts, etc.) are complexly included in a rather wide area. In the SMA, it is analyzed that the effects of urbanization such as the urban heat island centered on Seoul coincide with the sea and land winds, resulting in a combination of high concentrations and meteorological phenomena.

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표/그림 (12)

표 Table 1. High concentration episodes with PM_2.5 during 2015~2021 (Daily mean PM2.5 > 50 μg m^-3). The LRT, MIX and LES category represent long range transportation, mixed and local emission stagnant, respectively. Shaded boxes mean sequential date cases (unit: μg m^-3) and Italics and underlying character mean 9 dust cases.
그림 Fig. 1. 72 hour backward trajectories of high concentration cases (Table 1) with a) 100 m, b) 200 m, c) 500 m in AGL (Above Ground Level) from GDAS1 meteorological data using NOAA Hysplit model.
그림 Fig. 2. Distribution of average of PM_2.5, PM₁₀, PM_2.5/PM₁₀ ratio and PBLH for high concentration cases (Table 1) and these difference between average and LRT (Long Range Transport), MIX (mixture) and LES (Local emission stagnant) from air quality station data.
그림 Fig. 3. Same as Fig. 2 except for Ta, WS, U-wind, Rainfall.
그림 Fig. 4. Same as Fig. 2 except for SMA (Seoul metropolitan area).
그림 Fig. 5. Same as Fig. 3 except for SMA.
그림 Fig. 6. Scatter plot between PM_2.5 and PM₁₀, PM_2.5, PM_2.5/PM₁₀ ratio, CO, SO₂, NO₂, O₃, Ta, RH, Pa, U-wind, WS, WD, Rainfall and PBLH with LRT, MIX and LES on Korean peninsula.
그림 Fig. 7. Same as Fig. 6 except for excluded 9 dust cases.
그림 Fig. 8. Same as Fig. 6 except for SMA.
그림 Fig. 9. Same as Fig. 7 except for SMA.
표 Table 2. Average and standard deviation for high concentration fine dust episodes with type and Korean peninsula. Shaded box means maximum value. And Italics and underlying value with LRT and Mean represent excluded 9 dust cases.
표 Table 3. Same as Table 2 except for SMA (Seoul Metropolitan Area).

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