A Multiscale Tiered Approach to Quantify Contributions: A Case Study of PM2.5 in South Korea During 2010–2017

Details

• Journal Title:
  Atmosphere
• Personal Author:
  Bae, Minah ; Kim, Byeong-Uk ; Kim, Hyun Cheol ; Kim, Soontae
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory) ; CISESS (Cooperative Institute for Satellite Earth System Studies)
• Description:
  We estimated long-term foreign contributions to the particulate matter of 2.5 μm or less in diameter (PM2.5) concentrations in South Korea with a set of air quality simulations. The Weather Research and Forecasting (WRF)-Sparse Matrix Operator Kernel Emissions (SMOKE)-Community Multiscale Air Quality (CMAQ) modeling system was used to simulate the base and sensitivity case after a 50% reduction of foreign emissions. The effects of horizontal modeling grid resolutions (27- and 9-km) was also investigated. For this study, we chose PM2.5 in South Korea during 2010–2017 for the case study and emissions from China as a representative foreign source. The 9-km simulation results show that the 8-year average contribution of the Chinese emissions in 17 provinces ranged from 40–65%, which is ~4% lower than that from the 27-km simulation for the high-tier government segments (particularly prominent in coastal areas). However, for the same comparison for low-tier government segments (i.e., 250 prefectures), the 9-km simulation presented lowered the foreign contribution by up to 10% compared to that from the 27-km simulation. Based on our study results, we recommend using high-resolution modeling results for regional contribution analyses to develop an air quality action plan as the receptor coverage decreases.
• Keywords:
  Long-range Transport Particulate Matter Source-receptor Long-range Transport Particulate Matter
• Source:
  Atmosphere 2020, 11(2), 141
• DOI:
  https://doi.org/10.3390/atmos11020141
• Document Type:
  Journal Article
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:0580d6c72b38a6f66dd92821b4fe3a1f1049f7e56130ad8cfb7ba5da60b2cf5e
• Download URL:
  https://repository.library.noaa.gov/view/noaa/29181/noaa_29181_DS1.pdf
• File Type:
  [PDF - 3.20 MB ]