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http://dx.doi.org/10.7780/kjrs.2021.37.3.24

Geographical Characteristics of PM2.5, PM10 and O3 Concentrations Measured at the Air Quality Monitoring Systems in the Seoul Metropolitan Area  

Kang, Jung-Eun (Division of Earth Environmental System Science, Pukyong National University)
Mun, Da-Som (Division of Earth Environmental System Science, Pukyong National University)
Kim, Jae-Jin (Department of Environmental Atmospheric Sciences, Pukyong National University)
Choi, Jin-Young (Air Quality Forecasting Center, Climate and Air Quality Research Department, National Institute of Environmental Research)
Lee, Jae-Bum (Air Quality Forecasting Center, Climate and Air Quality Research Department, National Institute of Environmental Research)
Lee, Dae-Gyun (Air Quality Forecasting Center, Climate and Air Quality Research Department, National Institute of Environmental Research)
Publication Information
Korean Journal of Remote Sensing / v.37, no.3, 2021 , pp. 657-664 More about this Journal
Abstract
In this study, we investigated the relationships between the air quality (PM2.5, PM10, O3) concentrations and local geographical characteristics (terrain heights, building area ratios, population density in 9 km × 9 km gridded subareas) in the Seoul metropolitan area. To analyze the terrain heights and building area ratios, we used the geographic information system data provided by the NGII (National Geographic Information Institute). Also, we used the administrative districts and population provided by KOSIS (Korean Statistical Information Service) to estimate population densities. We analyzed the PM2.5, PM10, and O3 concentrations measured at the 146 AQMSs (air quality monitoring system) within the Seoul metropolitan area. The analysis period is from January 2010 to December 2020, and the monthly concentrations were calculated by averaging the hourly concentrations. The terrain is high in the northern and eastern parts of Gyeonggi-do and low near the west coastline. The distributions of building area ratios and population densities were similar to each other. During the analysis period, the monthly PM2.5 and PM10 concentrations at 146 AQMSs were high from January to March. The O3 concentrations were high from April to June. The population densities were negatively correlated with PM2.5, PM10, and O3 concentrations (weakly with PM2.5 and PM10 but strongly with O3). On the other hand, the AQMS heights showed no significant correlation with the pollutant concentrations, implying that further studies on the relationship between terrain heights and pollutant concentrations should be accompanied.
Keywords
Seoul metropolitan area; air quality monitoring system; geographic information system; air quality concentrations; geographical characteristics;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Kim, E.-R., R.J. Park, D.-G. Lee, and J.-J. Kim, 2015. A Study on the Characteristics of Flow and Reactive Pollutants' Dispersion in Step-up Street Canyons Using a CFD Model, Atmosphere, 25(3): 473-482.   DOI
2 Mun, D.-S. and J.-J. Kim, 2020. High-Resolution Flow Simulations Around a Steep Mountainous Island in Korea Using a CFD Model with One-way Nested Grid System, Korean Journal of Remote Sensing, 36(4): 557-571 (in Korean with English abstract).   DOI
3 Ministry of Environment, 2020. Annual Report of Air Quality in Korea, 2019, Ministry of Environment, Incheon, KR. (in Korean).
4 Kang, G., J.-J. Kim, and J.-B. Lee, 2020a. A numerical study on the effects of buildings and topography on the spatial distributions of air pollutants in a building-congested district, Korean Journal of Remote Sensing, 36(2-1): 139-153 (in Korean with English abstract).   DOI
5 Choi, W. and J.-J. Kim, 2018. Characteristics of ultrafine particles in urban areas observed worldwide and in Korea: Sources and emissions, spatial and temporal distributions, and health effects, Atmosphere, 28(3): 337-355.   DOI
6 Ghim, Y.-S. and Y.-S. Chang, 2000. Characteristics of ground-level ozone distributions in Korea for the period of 1990-1995, Journal of Geophysical Research: Atmospheres, 105(D7): 8877-8890.   DOI
7 Jeon, C.-W., D. Cho, and L. Zhu, 2018. Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR), Journal of the Korean Cartographic Association, 18: 91-104 (in Korean with English abstract).   DOI
8 Kang, G., J.-J. Kim, and W. Choi, 2020b. Computational fluid dynamics simulation of tree effects on pedestrian wind comfort in an urban area, Sustainable Cities and Society, 56: 102086.   DOI
9 Kang, Y.-H., Y.-K. Kim, M.-K. Hwang, J.-H. Jeong, H. Kim, and M.-S. Kang, 2019. Spatial-temporal variations in surface ozone concentrations in Busan metropolitan area, Journal of Environmental Science International, 28(2): 169-182 (in Korean with English abstract).   DOI