Dongwon Choi1), Taehee Kim1), Kyung-Hwan Kwak2),*
1)Department of Integrated Particulate Matter Management, Kangwon National University, Chuncheon, Republic of Korea,
2)Department of Environmental Science, Kangwon National University, Chuncheon, Republic of Korea
PM2.5 concentration has many determining factors including emission sources, physical/chemical transformation, and atmospheric transport/stagnation. In the wintertime, atmospheric stagnation appears frequently under the high-pressure synoptic system for a few consecutive days, which increases the PM2.5 concentration. On the other hand, air plumes originated from neighboring regions can also impact on the regional PM2.5 concentration relatively in a short period of time. As of 2020, Gangwon province in South Korea accounts for only 6.2% of the national PM2.5 emission amounts, but experiences higher PM2.5 concentrations than nation-wide average of PM2.5 concentration. For establishing effective air quality management strategies, at first, it is necessary to identify the intra-regional (i.e., self) contribution to PM2.5 concentration in Gangwon province. In this study, a 3-D chemistry-transport model that is Community Multi-scale Air Quality (CMAQ) model is used in combination with a mesoscale model that is the Weather Researcher Forecast (WRF) model to identify the intra- and inter-regional contribution to PM2.5 concentration. We divided the national anthropogenic air pollutant emissions into 4 different emission sectors such as metropolitan area, Western Gangwon province, Eastern Gangwon province, and other domestic areas. The period of interest for WRF-CMAQ simulation is three consecutive weeks in February 2023, when the influence of foreign inflow was known to be relatively small. The inter-regional contributions from neighboring regions to PM2.5 concentration in Gangwon province appeared to be larger than intra-regional (or self) contribution. The contributions are mainly attributed to atmospheric secondary PM2.5 production and the primary PM2.5 emissions in neighboring regions followed by the atmospheric recirculation. the process analysis (PA) method to quantify the individual process contribution is applied for PM2.5 components from city to city in Gangwon province and will be presented.
This work was supported by the National research Foundation of Korea(NRF) grant founded by the Korea government(MIST)(RS-2023-00219830) and "Particulate Matter Management Specialized Graduate Program through the Korea Environmental Industry & Technology Institute(KEITI) funded by the Ministry of Environment(MOE)"

