Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument

J. W. Xu, R. V. Martin, A. Van Donkelaar, Jhoon Kim, M. Choi, Q. Zhang, G. Geng, Y. Liu, Z. Ma, L. Huang, Y. Wang, H. Chen, H. Che, P. Lin, N. Lin

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Abstract

We determine and interpret fine particulate matter (PM2.5) concentrations in eastern China for January to December 2013 at a horizontal resolution of 6 km from aerosol optical depth (AOD) retrieved from the Korean geostationary ocean color imager (GOCI) satellite instrument. We implement a set of filters to minimize cloud contamination in GOCI AOD. Evaluation of filtered GOCI AOD with AOD from the Aerosol Robotic Network (AERONET) indicates significant agreement with mean fractional bias (MFB) in Beijing of 6.7 % and northern Taiwan of -1.2 %. We use a global chemical transport model (GEOS-Chem) to relate the total column AOD to the near-surface PM2.5. The simulated PM2.5 / AOD ratio exhibits high consistency with ground-based measurements in Taiwan (MFB = -0.52 %) and Beijing (MFB = -8.0 %). We evaluate the satellite-derived PM2.5 versus the ground-level PM2.5 in 2013 measured by the China Environmental Monitoring Center. Significant agreement is found between GOCI-derived PM2.5 and in situ observations in both annual averages (r2 = 0.66, N = 494) and monthly averages (relative RMSE = 18.3 %), indicating GOCI provides valuable data for air quality studies in Northeast Asia. The GEOS-Chem simulated chemical composition of GOCI-derived PM2.5 reveals that secondary inorganics (SO42-, NO3-, NH4+) and organic matter are the most significant components. Biofuel emissions in northern China for heating increase the concentration of organic matter in winter. The population-weighted GOCI-derived PM2.5 over eastern China for 2013 is 53.8 μg mg-3, with 400 million residents in regions that exceed the Interim Target-1 of the World Health Organization.

Original languageEnglish
Pages (from-to)13133-13144
Number of pages12
JournalAtmospheric Chemistry and Physics
Volume15
Issue number22
DOIs
Publication statusPublished - 2015 Nov 27

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optical depth
aerosol
EOS
organic matter
ground-based measurement
World Health Organization
GOCI
environmental monitoring
biofuel
particulate matter
air quality
chemical composition
filter
heating
winter

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Xu, J. W. ; Martin, R. V. ; Van Donkelaar, A. ; Kim, Jhoon ; Choi, M. ; Zhang, Q. ; Geng, G. ; Liu, Y. ; Ma, Z. ; Huang, L. ; Wang, Y. ; Chen, H. ; Che, H. ; Lin, P. ; Lin, N. / Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument. In: Atmospheric Chemistry and Physics. 2015 ; Vol. 15, No. 22. pp. 13133-13144.
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abstract = "We determine and interpret fine particulate matter (PM2.5) concentrations in eastern China for January to December 2013 at a horizontal resolution of 6 km from aerosol optical depth (AOD) retrieved from the Korean geostationary ocean color imager (GOCI) satellite instrument. We implement a set of filters to minimize cloud contamination in GOCI AOD. Evaluation of filtered GOCI AOD with AOD from the Aerosol Robotic Network (AERONET) indicates significant agreement with mean fractional bias (MFB) in Beijing of 6.7 {\%} and northern Taiwan of -1.2 {\%}. We use a global chemical transport model (GEOS-Chem) to relate the total column AOD to the near-surface PM2.5. The simulated PM2.5 / AOD ratio exhibits high consistency with ground-based measurements in Taiwan (MFB = -0.52 {\%}) and Beijing (MFB = -8.0 {\%}). We evaluate the satellite-derived PM2.5 versus the ground-level PM2.5 in 2013 measured by the China Environmental Monitoring Center. Significant agreement is found between GOCI-derived PM2.5 and in situ observations in both annual averages (r2 = 0.66, N = 494) and monthly averages (relative RMSE = 18.3 {\%}), indicating GOCI provides valuable data for air quality studies in Northeast Asia. The GEOS-Chem simulated chemical composition of GOCI-derived PM2.5 reveals that secondary inorganics (SO42-, NO3-, NH4+) and organic matter are the most significant components. Biofuel emissions in northern China for heating increase the concentration of organic matter in winter. The population-weighted GOCI-derived PM2.5 over eastern China for 2013 is 53.8 μg mg-3, with 400 million residents in regions that exceed the Interim Target-1 of the World Health Organization.",
author = "Xu, {J. W.} and Martin, {R. V.} and {Van Donkelaar}, A. and Jhoon Kim and M. Choi and Q. Zhang and G. Geng and Y. Liu and Z. Ma and L. Huang and Y. Wang and H. Chen and H. Che and P. Lin and N. Lin",
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Xu, JW, Martin, RV, Van Donkelaar, A, Kim, J, Choi, M, Zhang, Q, Geng, G, Liu, Y, Ma, Z, Huang, L, Wang, Y, Chen, H, Che, H, Lin, P & Lin, N 2015, 'Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument', Atmospheric Chemistry and Physics, vol. 15, no. 22, pp. 13133-13144. https://doi.org/10.5194/acp-15-13133-2015

Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument. / Xu, J. W.; Martin, R. V.; Van Donkelaar, A.; Kim, Jhoon; Choi, M.; Zhang, Q.; Geng, G.; Liu, Y.; Ma, Z.; Huang, L.; Wang, Y.; Chen, H.; Che, H.; Lin, P.; Lin, N.

In: Atmospheric Chemistry and Physics, Vol. 15, No. 22, 27.11.2015, p. 13133-13144.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument

AU - Xu, J. W.

AU - Martin, R. V.

AU - Van Donkelaar, A.

AU - Kim, Jhoon

AU - Choi, M.

AU - Zhang, Q.

AU - Geng, G.

AU - Liu, Y.

AU - Ma, Z.

AU - Huang, L.

AU - Wang, Y.

AU - Chen, H.

AU - Che, H.

AU - Lin, P.

AU - Lin, N.

PY - 2015/11/27

Y1 - 2015/11/27

N2 - We determine and interpret fine particulate matter (PM2.5) concentrations in eastern China for January to December 2013 at a horizontal resolution of 6 km from aerosol optical depth (AOD) retrieved from the Korean geostationary ocean color imager (GOCI) satellite instrument. We implement a set of filters to minimize cloud contamination in GOCI AOD. Evaluation of filtered GOCI AOD with AOD from the Aerosol Robotic Network (AERONET) indicates significant agreement with mean fractional bias (MFB) in Beijing of 6.7 % and northern Taiwan of -1.2 %. We use a global chemical transport model (GEOS-Chem) to relate the total column AOD to the near-surface PM2.5. The simulated PM2.5 / AOD ratio exhibits high consistency with ground-based measurements in Taiwan (MFB = -0.52 %) and Beijing (MFB = -8.0 %). We evaluate the satellite-derived PM2.5 versus the ground-level PM2.5 in 2013 measured by the China Environmental Monitoring Center. Significant agreement is found between GOCI-derived PM2.5 and in situ observations in both annual averages (r2 = 0.66, N = 494) and monthly averages (relative RMSE = 18.3 %), indicating GOCI provides valuable data for air quality studies in Northeast Asia. The GEOS-Chem simulated chemical composition of GOCI-derived PM2.5 reveals that secondary inorganics (SO42-, NO3-, NH4+) and organic matter are the most significant components. Biofuel emissions in northern China for heating increase the concentration of organic matter in winter. The population-weighted GOCI-derived PM2.5 over eastern China for 2013 is 53.8 μg mg-3, with 400 million residents in regions that exceed the Interim Target-1 of the World Health Organization.

AB - We determine and interpret fine particulate matter (PM2.5) concentrations in eastern China for January to December 2013 at a horizontal resolution of 6 km from aerosol optical depth (AOD) retrieved from the Korean geostationary ocean color imager (GOCI) satellite instrument. We implement a set of filters to minimize cloud contamination in GOCI AOD. Evaluation of filtered GOCI AOD with AOD from the Aerosol Robotic Network (AERONET) indicates significant agreement with mean fractional bias (MFB) in Beijing of 6.7 % and northern Taiwan of -1.2 %. We use a global chemical transport model (GEOS-Chem) to relate the total column AOD to the near-surface PM2.5. The simulated PM2.5 / AOD ratio exhibits high consistency with ground-based measurements in Taiwan (MFB = -0.52 %) and Beijing (MFB = -8.0 %). We evaluate the satellite-derived PM2.5 versus the ground-level PM2.5 in 2013 measured by the China Environmental Monitoring Center. Significant agreement is found between GOCI-derived PM2.5 and in situ observations in both annual averages (r2 = 0.66, N = 494) and monthly averages (relative RMSE = 18.3 %), indicating GOCI provides valuable data for air quality studies in Northeast Asia. The GEOS-Chem simulated chemical composition of GOCI-derived PM2.5 reveals that secondary inorganics (SO42-, NO3-, NH4+) and organic matter are the most significant components. Biofuel emissions in northern China for heating increase the concentration of organic matter in winter. The population-weighted GOCI-derived PM2.5 over eastern China for 2013 is 53.8 μg mg-3, with 400 million residents in regions that exceed the Interim Target-1 of the World Health Organization.

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