Literature DB >> 27931881

PM2.5 source attribution for Seoul in May from 2009 to 2013 using GEOS-Chem and its adjoint model.

Hyung-Min Lee1, Rokjin J Park2, Daven K Henze3, Seungun Lee2, Changsub Shim4, Hye-Jung Shin5, Kwang-Joo Moon5, Jung-Hun Woo6.   

Abstract

Enforcement of an air quality standard for PM2.5 in the Seoul metropolitan area (SMA) was enacted in 2015. From May to June of 2016, an international airborne and surface measurement campaign took place to investigate air pollution mechanisms in the SMA. The total and speciated PM2.5 concentrations since 2008 have been measured at an intensive monitoring site for the SMA operated by the National Institute of Environmental Research (NIER). To gain insight on the trends and sources of PM2.5 in the SMA in May, we analyze PM2.5 concentrations from 2009 to 2013 using the measurements and simulations from a 3-dimensional global chemical transport model, GEOS-Chem and its adjoint. The model is updated here with the latest regional emission inventory and diurnally varying NH3 emissions. Monthly average PM2.5 concentration measured by β-ray attenuation ranges from 28 (2010) to 45 (2013) μg/m3, decreased from 2009 to 2010, and then continuously increased until 2013. The model shows good agreement with the measurements for the daily average PM2.5 concentrations (R ≥ 0.5), and reproduces 10 out of 17 measured episodes exceeding the daily air quality standard (50 μg/m3). Using the GEOS-Chem adjoint model, we find that anthropogenic emissions from the Shandong region have the largest modeled influence on PM2.5 in Seoul in May. Average contributions to the high PM2.5 episodes simulated by the model are 39% from the Shandong region, 16% from the Shanghai region, 14% from the Beijing region, and 15% from South Korea. Anthropogenic SO2 emissions from South Korea are negligible with 90% of the total contribution originating from China. Findings from this study may guide interpretation of observations obtained in the KORUS-AQ measurement campaign.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adjoint modeling; Atmospheric chemical transport model; PM2.5; Sensitivity analysis; Seoul metropolitan area; Source attribution

Mesh:

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Year:  2016        PMID: 27931881     DOI: 10.1016/j.envpol.2016.11.088

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  3 in total

1.  Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model.

Authors:  Man-Suk Oh; Chee Kyung Park
Journal:  J Appl Stat       Date:  2020-09-22       Impact factor: 1.416

2.  Quantitative association analysis between PM2.5 concentration and factors on industry, energy, agriculture, and transportation.

Authors:  Nan Zhang; Hong Huang; Xiaoli Duan; Jinlong Zhao; Boni Su
Journal:  Sci Rep       Date:  2018-06-21       Impact factor: 4.379

3.  A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations.

Authors:  Xiaowei Chuai; Yue Lu; Fangjian Xie; Feng Yang; Rongqin Zhao; Baoxin Pang
Journal:  J Environ Manage       Date:  2020-09-22       Impact factor: 6.789

  3 in total

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