[HTML][HTML] Spatiotemporal variability of the PM2. 5 distribution and weather anomalies during severe pollution events: Observations from 462 air quality monitoring …

S Han, Y Park, N Noh, JH Kim, JJ Kim, BM Kim… - Atmospheric Pollution …, 2023 - Elsevier
We investigated the nationwide spatiotemporal variability of PM 2.5 during 49 severe PM 2.5
pollution events based on observations from 462 air quality monitoring stations (AQMSs) …

Mapping nationwide concentrations of sulfate and nitrate in ambient PM2. 5 in South Korea using machine learning with ground observation data

SJ Lee, JT Ju, JJ Lee, CK Song, SA Shin… - Science of The Total …, 2024 - Elsevier
Particulate matter (PM) is a major air pollutant in Northeast Asia, with frequent high PM
episodes. To investigate the nationwide spatial distribution maps of PM 2.5 and secondary …

Air pollution assessment in Seoul, South Korea, using an updated daily air quality index

H Lee, J Lee, S Oh, S Park, H Mayer - Atmospheric Pollution Research, 2023 - Elsevier
The variability of daily air quality index DAQx* was analyzed for types of air quality
monitoring stations (AQMSs) in Seoul, South Korea, from 2018 to 2021. Daily maximum 1-h …

Influence of Relative Humidity and Composition on PM2.5 Phases in Northeast Asia

C Seong, D Kim, R Jeong, Y Qiu, Z Wu… - ACS Earth and Space …, 2024 - ACS Publications
In Northeast Asia, the elevated levels of fine particulate matter (PM2. 5) are an
environmental concern, yet their physicochemical properties have been poorly …

When and why PM2. 5 is high in Seoul, South Korea: Interpreting long-term (2015–2021) ground observations using machine learning and a chemical transport model

HM Lee, NK Kim, J Ahn, SM Park, JY Lee… - Science of The Total …, 2024 - Elsevier
Seoul has high PM 2.5 concentrations and has not attained the national annual average
standard so far. To understand the reasons, we analyzed long-term (2015–2021) hourly …

Physico-chemical Characteristics and Evolution of NR-PM1 in the Suburban Environment of Seoul

J Song, T Park, J Ban, S Kang, I Park, K Kim… - Atmospheric …, 2024 - Elsevier
Abstract In South Korea, particulate matter (PM) is generated from various emission sources,
including domestic air pollutants and long-range transport. Effective air quality policies …

[HTML][HTML] Characteristics and Source Identification for PM2.5 Using PMF Model: Comparison of Seoul Metropolitan Area with Baengnyeong Island

KC Kim, HJ Song, CS Lee, YJ Lim, JY Ahn, SJ Seo… - Atmosphere, 2024 - mdpi.com
To establish and implement effective policies for controlling fine particle matters (PM2. 5),
which is associated with high-risk diseases, continuous research on identifying PM2. 5 …

Determination of Input variables for Artificial Intelligence Models to predict the High PM2.5 concentration events in Seoul, Korea

SH Kim, MS Park - Asia-Pacific Journal of Atmospheric Sciences, 2023 - Springer
The concentration of particulate matter (PMs) is governed by complex processes such as
long-range transport, vertical diffusion, and local emissions. Therefore, thus it is relatively …

The effect of mixed layer across air mass trajectory pathways on PM2. 5 constituent levels: The case of a major urban center in the Eastern Mediterranean

K Dimitriou, M Tsagkaraki, K Tavernaraki… - Atmospheric Pollution …, 2024 - Elsevier
Αn advanced three dimensional (3D) version of air mass Concentration Weighted Trajectory
(CWT) model was applied, coupled with Mixed Layer Depth (MLD) estimations across the …

Spatiotemporal distribution and source analysis of PM2. 5 and its chemical components in national industrial complexes of Korea: a case study of Ansan and Siheung

SY Park, H Jang, J Kwon, YS Cho, JI Lee… - … Science and Pollution …, 2024 - Springer
This study investigated the sources and distribution characteristics of PM 2.5 and its
chemical components (ions, carbons, elements) at five locations within the Banwal and …