2015년~2021년 겨울철 한반도의 미세먼지 사례의 기상학적 특징 분석

In order to analyze the characteristics of fine particles on the Korean Peninsula, the synoptic wind field, aerosol optical depth distribution, and surface observation data were used around the East Asia and the Korean Peninsula. In addition, the relationship and relative influence between high-conc...

Full description

Saved in:
Bibliographic Details
Published in한국대기환경학회지(국문) Vol. 38; no. 3; pp. 394 - 413
Main Authors 지준범(Joon-Bum Jee), 조창래(Chang-Rae Cho), 김상헌(Sang-Heon Kim), 송미정(Mijung Song)
Format Journal Article
LanguageKorean
Published 한국대기환경학회 01.06.2022
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In order to analyze the characteristics of fine particles on the Korean Peninsula, the synoptic wind field, aerosol optical depth distribution, and surface observation data were used around the East Asia and the Korean Peninsula. In addition, the relationship and relative influence between high-concentration fine particles cases and meteorological variables were evaluated using the General Boosted Machine (GBM) model. In 2020, relatively low concentrations of fine particles appeared due to the weakening of the meridional atmospheric pressure deviation and the weakening of the zonal flow in East Asia. AOD around the Korean Peninsula was high mainly in Incheon and Taean Peninsula, and high AOD was found mainly in the West Sea due to long-range transport from China. In the case of haze or high-concentration fine particles in winter, the PM2.5/PM10 ratio was greater than 0.6, and the ratio increased during long-range transport. In the highconcentration fine particles case, the temperature, wind speed, and boundary layer height (PBLH) were lower than the overall data, and the PM2.5/PM10 ratio was high. When high-concentration cases were analyzed using the GBM model, the fine particles concentration had a high correlation with meteorological and temporal variables. As a result, the relative influence on the fine particles concentration was highest in order of year, week, air temperature, the day of the week, relative humidity, PBLH, hour, wind direction, and wind speed. KCI Citation Count: 0
Bibliography:https://doi.org/10.5572/KOSAE.2022.38.3.394
ISSN:1598-7132
2383-5346
DOI:10.5572/KOSAE.2022.38.3.394