WRF-CMAQ 모델링 시스템을 활용한 PM_2.5 농도변동 원인 분석: 2016년과 2017년의 가을철을 중심으로 = Analysis of the Changes in PM_2.5 Concentrations using WRF-CMAQ Modeling System: Focusing on the Fall in 2016 and 2017

다국어 초록 (Multilingual 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 μg/㎥) 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 μg/㎥) and 35.7% (12.2 μg/㎥) 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.