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

Author

Listed:
  • Doo Sung Choi

    (Department of Building Equipment System & Fire Protection Engineering, University of Chungwoon, Incheon 22100, Korea
    Both authors contributed equally to this work.)

  • Jong-Sang Youn

    (Department of Energy and Environmental Engineering, The Catholic University of Korea, Bucheon 14662, Korea
    Both authors contributed equally to this work.)

  • 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)

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.

Suggested Citation

  • Doo Sung Choi & Jong-Sang Youn & Im Hack Lee & Byung Jin Choi & Ki-Joon Jeon, 2021. "Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment," Sustainability, MDPI, vol. 13(8), pages 1-10, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4470-:d:537592
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    References listed on IDEAS

    as
    1. Yao, Q. & Li, S.-Q. & Xu, H.-W. & Zhuo, J.-K. & Song, Q., 2009. "Studies on formation and control of combustion particulate matter in China: A review," Energy, Elsevier, vol. 34(9), pages 1296-1309.
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