*Woo-Sik Jung1, HANA NA1
(1.Department of Atmospheric Environment Information Engineering, INJE University.)
Keywords:High concentration PM10, Typhoon, CMAQ, WRN, Typhoon-Reday System (TRS)
“Earlier-than-expected typhoon 'Mitak', PM10 surprise attack” is the title of a news paper published in Korea on 1 October 2019. High concentrations of PM10, approaching a classification of "bad", appeared in most parts of the country, and remained until just before the typhoon struck the peninsula. Jeon (2011) reported that after a typhoon passes, the concentration of PM10 may decrease due to rainfall or wind, increase due to sedimentation or mudflow in the entire night station, or increase temporarily due to strong winds. The effect of tropical cyclones on high concentrations of PM10 has been studied extensively in other regions (Eric et al., 2018; Lin et al., 2021) and used for forecasting in the field. However, in Korea, studies of typhoons are mainly related to their occurrence, forecasting, prediction, and damage, and studies related to associated air pollution are rare. In this study, we conducted a risk analysis of the high PM10 concentrations accompanying typhoons that have affected Korea. In addition, the vulnerability of a region to high PM10 concentrations was incorporated into the typhoon disaster prevention system, by applying the vulnerability to high PM10 concetrations and performing analysis by year, typhoon, and region. The last three years (2019-2021) were selected as the study period, and analysis was conducted using observational data and the Community Multi-scale Air Quality Model (CMAQ), a model of photochemical air pollution. PM10 concentrations were calculated before, during, and after the typhoon's impact period, which was officially determined by the Korea Meteorological Administration. The risk of typhoons being accompanied by high PM10 concentrations was calculated (Ma, 2018) by deriving the probability of PM10 concentrations reaching 81μg/m3 or higher, which is defined as the "bad" level and is the standard for air pollution forecasting. In addition, the probability of high concentrations occurring in cities, counties, and districts was calculated from 2003 to 2021, using observational data provided by the Ministry of Environment, to reflect the regional characteristics of high concentrations during a typhoon event (before, middle, and after). In addition, the population number of vulnerable groups (infants, students, and senior citizens) was applied during the analysis, based on guidelines in the Ministry of the Environment's high-concentration PM10 response manual.
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2020R1F1A1068738)