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

被引:58
|
作者
Lee, Hyung-Min [1 ]
Park, Rokjin J. [2 ]
Henze, Daven K. [3 ]
Lee, Seungun [2 ]
Shim, Changsub [4 ]
Shin, Hye-Jung [5 ]
Moon, Kwang-Joo [5 ]
Woo, Jung-Hun [6 ]
机构
[1] Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA
[2] Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea
[3] Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA
[4] Korea Environm Inst, 370 Sicheong Daro, Sejong, South Korea
[5] Natl Inst Environm Res, Incheon, South Korea
[6] Konkuk Univ, Dept New Technol & Fus, Seoul, South Korea
关键词
PM2.5; Seoul metropolitan area; Adjoint modeling; Source attribution; Sensitivity analysis; Atmospheric chemical transport model; UNITED-STATES; EMISSIONS; DEPOSITION; RESOLUTION; POLLUTANTS; MORTALITY; POLLUTION; AEROSOL; OZONE;
D O I
10.1016/j.envpol.2016.11.088
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 beta-ray attenuation ranges from 28 (2010) to 45 (2013) mu g/m(3), 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 mu g/m(3)). 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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:377 / 384
页数:8
相关论文
共 50 条
  • [1] Inverse modeling and mapping US air quality influences of inorganic PM2.5 precursor emissions using the adjoint of GEOS-Chem
    Henze, D. K.
    Seinfeld, J. H.
    Shindell, D. T.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (16) : 5877 - 5903
  • [2] Retrieval of surface PM2.5 mass concentrations over North China using visibility measurements and GEOS-Chem simulations
    Li, Sixuan
    Chen, Lulu
    Huang, Gang
    Lin, Jintai
    Yan, Yingying
    Ni, Ruijing
    Huo, Yanfeng
    Wang, Jingxu
    Liu, Mengyao
    Weng, Hongjian
    Wang, Yonghong
    Wang, Zifa
    ATMOSPHERIC ENVIRONMENT, 2020, 222
  • [3] Diagnosing domestic and transboundary sources of fine particulate matter (PM2.5) in UK cities using GEOS-Chem
    Kelly, Jamie M.
    Marais, Eloise A.
    Lu, Gongda
    Obszynska, Jolanta
    Mace, Matthew
    White, Jordan
    Leigh, Roland J.
    CITY AND ENVIRONMENT INTERACTIONS, 2023, 18
  • [4] Source apportionment of atmospheric mercury pollution in China using the GEOS-Chem model
    Wang, Long
    Wang, Shuxiao
    Zhang, Lei
    Wang, Yuxuan
    Zhang, Yanxu
    Nielsen, Chris
    McElroy, Michael B.
    Hao, Jiming
    ENVIRONMENTAL POLLUTION, 2014, 190 : 166 - 175
  • [5] Characteristics and Source Identification for PM2.5 Using PMF Model: Comparison of Seoul Metropolitan Area with Baengnyeong Island
    Kim, Kyoung-Chan
    Song, Hui-Jun
    Lee, Chun-Sang
    Lim, Yong-Jae
    Ahn, Joon-Young
    Seo, Seok-Jun
    Han, Jin-Seok
    ATMOSPHERE, 2024, 15 (10)
  • [6] Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9
    Fisher, Jenny A.
    Murray, Lee T.
    Jones, Dylan B. A.
    Deutscher, Nicholas M.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2017, 10 (11) : 4129 - 4144
  • [7] Interpreting aerosol lifetimes using the GEOS-Chem model and constraints from radionuclide measurements
    Croft, B.
    Pierce, J. R.
    Martin, R. V.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (08) : 4313 - 4325
  • [8] Constraining U.S. ammonia emissions using TES remote sensing observations and the GEOS-Chem adjoint model
    Zhu, L.
    Henze, D. K.
    Cady-Pereira, K. E.
    Shephard, M. W.
    Luo, M.
    Pinder, R. W.
    Bash, J. O.
    Jeong, G. -R.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (08) : 3355 - 3368
  • [9] Assessment of Transboundary PM2.5 from Biomass Burning in Northern Thailand Using the WRF-Chem Model
    Inlaung, Kevalin
    Chotamonsak, Chakrit
    Macatangay, Ronald
    Surapipith, Vanisa
    TOXICS, 2024, 12 (07)
  • [10] Improving PMF source reconciliation with cluster analysis for PM2.5 hourly data from Seoul, Korea
    Park, Jong-Moon
    Lee, Tae-Jung
    Kim, Dong-Sool
    ATMOSPHERIC POLLUTION RESEARCH, 2022, 13 (05)