High-Resolution Daily PM2.5 Exposure Concentrations in South Korea Using CMAQ Data Assimilation with Surface Measurements and MAIAC AOD (2015-2021)

被引:3
作者
Kang, Jin-Goo [1 ]
Lee, Ju-Yong [1 ]
Lee, Jeong-Beom [1 ]
Lim, Jun-Hyun [1 ]
Yun, Hui-Young [1 ]
Choi, Dae-Ryun [1 ]
机构
[1] Anyang Univ, Dept Environm Engn, Anyang Si 14028, Gyeonggi Do, South Korea
关键词
long-term exposure concentrations; multi-linear regression; chemical transport model; QUALITY FORECASTING SYSTEM; PM10; MODELS;
D O I
10.3390/atmos15101152
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Particulate matter (PM) in the atmosphere poses significant risks to both human health and the environment. Specifically, PM2.5, particulate matter with a diameter less than 2.5 micrometers, has been linked to increased rates of cardiovascular and respiratory diseases. In South Korea, concerns about PM2.5 exposure have grown due to its potential for causing premature death. This study aims to estimate high-resolution exposure concentrations of PM2.5 across South Korea from 2015 to 2021. We integrated data from the Community Multiscale Air Quality (CMAQ) model with surface air quality measurements, the Weather Research Forecast (WRF) model, the Normalized Difference Vegetation Index (NDVI), and the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Optical Depth (AOD) satellite data. These data, combined with multiple regression analyses, allowed for the correction of PM2.5 estimates, particularly in suburban areas where ground measurements are sparse. The simulated PM2.5 concentration showed strong correlations with observed values R (ranging from 0.88 to 0.94). Spatial distributions of annual PM2.5 showed a significant decrease in PM2.5 concentrations from 2015 to 2021, with some fluctuation due to the COVID-19 pandemic, such as in 2020. The study produced highly accurate daily average high-resolution PM2.5 exposure concentrations.
引用
收藏
页数:13
相关论文
共 42 条
[1]   Application of the deletion/substitution/addition algorithm to selecting land use regression models for interpolating air pollution measurements in California [J].
Beckerman, Bernardo S. ;
Jerrett, Michael ;
Martin, Randall V. ;
van Donkelaar, Aaron ;
Ross, Zev ;
Burnett, Richard T. .
ATMOSPHERIC ENVIRONMENT, 2013, 77 :172-177
[2]   Bayesian geostatistical modelling of PM10 and PM2.5 surface level concentrations in Europe using high-resolution satellite-derived products [J].
Beloconi, Anton ;
Chrysoulakis, Nektarios ;
Lyapustin, Alexei ;
Utzinger, Jurg ;
Vounatsou, Penelope .
ENVIRONMENT INTERNATIONAL, 2018, 121 :57-70
[3]   Influence of boundary conditions on CMAQ simulations over the Iberian Peninsula [J].
Borge, Rafael ;
Lopez, Javier ;
Lumbreras, Julio ;
Narros, Adolfo ;
Rodriguez, Encarnacion .
ATMOSPHERIC ENVIRONMENT, 2010, 44 (23) :2681-2695
[4]  
Byun D.W., 1998, Science algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) modeling system
[5]   Review of the governing equations, computational algorithms, and other components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system [J].
Byun, Daewon ;
Schere, Kenneth L. .
APPLIED MECHANICS REVIEWS, 2006, 59 (1-6) :51-77
[6]  
Champendal A, 2014, LECT NOTES COMPUT SC, V8581, P682, DOI 10.1007/978-3-319-09150-1_50
[7]   Spatiotemporal patterns of PM10 concentrations over China during 2005-2016: A satellite-based estimation using the random forests approach [J].
Chen, Gongbo ;
Wang, Yichao ;
Li, Shanshan ;
Cao, Wei ;
Ren, Hongyan ;
Knibbs, Luke D. ;
Abramson, Michael J. ;
Guo, Yuming .
ENVIRONMENTAL POLLUTION, 2018, 242 :605-613
[8]   Development of the Global to Mesoscale Air Quality Forecast and Analysis System (GMAF) and Its Application to PM2.5 Forecast in Korea [J].
Cho, SeogYeon ;
Park, HyeonYeong ;
Son, JeongSeok ;
Chang, LimSeok .
ATMOSPHERE, 2021, 12 (03)
[9]   A Development of Air Quality Forecasting System with Data Assimilation using Surface Measurements in East Asia [J].
Choi, Dae-Ryun ;
Yun, Hui-Young ;
Koo, Youn-Seo .
JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2019, 35 (01) :60-85
[10]   THE EARTH IS ROUND (P-LESS-THAN.05) [J].
COHEN, J .
AMERICAN PSYCHOLOGIST, 1994, 49 (12) :997-1003