Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment

Doo Sung Choi, Jong-Sang Youn, Im Hack Lee, Byung Jin Choi and Ki-Joon Jeon
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Doo Sung Choi: Department of Building Equipment System & Fire Protection Engineering, University of Chungwoon, Incheon 22100, Korea
Jong-Sang Youn: Department of Energy and Environmental Engineering, The Catholic University of Korea, Bucheon 14662, Korea
Im Hack Lee: Department of Environmental Engineering, University of Seoul, Seoul 02504, Korea
Byung Jin Choi: Jubix, Gyeonggi-do 16419, Korea
Ki-Joon Jeon: Department of Environmental Engineering, Inha University, Incheon 22212, Korea

Sustainability, 2021, vol. 13, issue 8, 1-10

Abstract: This study examines environmental impact assessment considering filterable particulate matter (FPM) and condensable particulate matter (CPM) to improve the accuracy of the air quality model. Air pollutants and meteorological data were acquired from Korea’s national monitoring station near a residential development area in the target district and background site. Seasonal emissions of PM 2.5, including CPM, were estimated using the California puff (CALPUFF) model, based on Korea’s national emissions inventory. These results were compared with the traditional environmental impact assessment results. For the residential development area, the seasonal PM 2.5 concentration was predicted by considering FPM and CPM emissions in the target area as well as the surrounding areas. In winter and spring, air quality standards were not breached because only FPM was considered. However, when CPM was included in the analysis, the results exceeded the air quality standards. Furthermore, it was predicted that air quality standards would not be breached in summer and autumn, even when CPM is included. In other words, conducting an environmental impact assessment on air pollution including CPM affects the final environmental decision. Therefore, it is concluded that PM 2.5 should include CPM for greater accuracy of the CALPUFF model for environmental impact assessment.

Keywords: environmental impact assessment; condensable particulate matter; air quality model; PM 2.5; air pollution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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