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http://dx.doi.org/10.14249/eia.2018.27.2.215

Analysis of the Changesin PM2.5 Concentrations using WRF-CMAQ Modeling System: Focusing on the Fall in 2016 and 2017  

Nam, Ki-Pyo (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Lim, Yong-Jae (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Park, Ji-Hoon (Air Quality Research Division, Climate and Air Quality Research Department, NIER)
Kim, Deok-Rae (Environmental Satellite Center, Climate and Air Quality Research Department, NIER)
Lee, Jae-Bum (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Kim, Sang-Min (Environmental Satellite Center, Climate and Air Quality Research Department, NIER)
Jung, Dong-Hee (Air Quality Research Division, Climate and Air Quality Research Department, NIER)
Choi, Ki-Chul (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Park, Hyun-Ju (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Lee, Han-Sol (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Jang, Lim-Seok (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Kim, Jeong-Soo (Air Quality Research Department, NIER)
Publication Information
Journal of Environmental Impact Assessment / v.27, no.2, 2018 , pp. 215-231 More about this Journal
Abstract
It was analyzed to identify the cause of $PM_{2.5}$ concentration changes for the fall in 2016 and 2017 in South Korea using ground measurement data such as meterological variables and $PM_{2.5}$, AOD from GOCI satellite, and WRF-CMAQ modeling system. The result of ground measurement data showed that the $PM_{2.5}$ concentrations for the fall in 2017 decreased by 12.3% ($3.0{\mu}g/m^3$) compared to that of 2016. The difference of $PM_{2.5}$ concentrations between 2016 and 2017 mainly occurred for 11 Oct. - 20 Oct. (CASE1) and 15 Nov. - 19 Nov. (CASE2) when weather conditions were difficult to long-range transport from foreign regions and favored atmospheric ventilation in 2017 compared to 2016. Simulated $PM_{2.5}$ concentrations in 2017 decreased by 64.0% ($23.1{\mu}g/m^3$) and 35.7% ($12.2{\mu}g/m^3$) during CASE1 and CASE2, respectively. These results corresponded to the changes in observed $PM_{2.5}$ concentrations such as 53.6% for CASE1 and 47.8% for CASE2. It is implied that the changes in weather conditions affected significantly the $PM_{2.5}$ concentrations for the fall between 2016 and 2017. The contributions to decreases in $PM_{2.5}$ concentrations was assessed as 52.8% by long-range transport from foreign regions and 47.2% by atmospheric ventilation effects in domestic regions during CASE1, whereas their decreases during CASE2 were affected by 66.4% from foreign regions and 33.6% in domestic regions.
Keywords
$PM_{2.5}$; Contribution; Meteorological conditions; Fall; CMAQ;
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