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Spatial and Temporal Variations in Atmospheric Ventilation Index Coupled with Particulate Matter Concentration in South Korea

Author

Listed:
  • Seoyeon Lee

    (National Center for AgroMeteorology, Seoul 08826, Korea)

  • Seung-Jae Lee

    (National Center for AgroMeteorology, Seoul 08826, Korea)

  • Jung-Hyuk Kang

    (National Center for AgroMeteorology, Seoul 08826, Korea)

  • Eun-Suk Jang

    (National Marine Environmental Education Center, Busan 49111, Korea)

Abstract

The spatiotemporal variations in the atmospheric ventilation index (AVI) with the particulate matter (PM) concentrations in South Korea were investigated using a regional grid model derived from the National Center for AgroMeteorology and PM 10 concentration data obtained from AirKorea and the Korea Meteorological Administration. To construct a high-resolution AVI database with 1 h time intervals and a spatial resolution of approximately 2.4 km, a medium-range prediction was performed using a regional model twice a week from December 2018 to November 2019. The resultant dataset was used to explore the seasonal patterns of the areal distribution of a novel index: Ventilation Index coupled with PM (VIP), defined by the ratio of the AVI to PM. To determine the effects of geography on the VIP, diurnal variations of the VIP were examined at three major cities in South Korea. The emphasis of the investigation was on major cities that are planned to be developed into smart cities. This study reveals the specific spatiotemporal structure of the AVI in South Korea for the first time at a high resolution and introduced the potential usefulness of the VIP. The results provide insights that could aid decision making for determining favorable locations for better air-quality cities on an annual basis and can enable the sustainable management of fine PM in and around the areas of interest.

Suggested Citation

  • Seoyeon Lee & Seung-Jae Lee & Jung-Hyuk Kang & Eun-Suk Jang, 2021. "Spatial and Temporal Variations in Atmospheric Ventilation Index Coupled with Particulate Matter Concentration in South Korea," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:8954-:d:611859
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    References listed on IDEAS

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    1. Hong, Minki & Lee, Sang-Hyun & Lee, Seung-Jae & Choi, Jin-Yong, 2021. "Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit," Agricultural Water Management, Elsevier, vol. 243(C).
    2. Zhang, Xin & Zhang, Xiaobo & Chen, Xi, 2017. "Happiness in the air: How does a dirty sky affect mental health and subjective well-being?," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 81-94.
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    Cited by:

    1. Seyedehmehrmanzar Sohrab & Nándor Csikós & Péter Szilassi, 2022. "Connection between the Spatial Characteristics of the Road and Railway Networks and the Air Pollution (PM10) in Urban–Rural Fringe Zones," Sustainability, MDPI, vol. 14(16), pages 1-20, August.

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