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

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題名:	Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument
作者:	林能暉;J-W, Xu;Martin, R V;Donkelaar, A van;Kim, J;Choi, M;Zhang, Q;Geng, G;Liu, Y;Ma, Z;Huang, L;Wang, Y;Chen, H;Che, H;Lin, P;Lin, N
貢獻者:	地球科學學院大氣科學學系
關鍵詞:	Aerosol optical depth;Aerosol Robotic Network;Aerosols;Air quality;Biofuels;Chemical composition;Chemical transport;Computer simulation;Contamination;Environmental monitoring;Evaluation;Image processing;Ocean color;Ocean colour;Optical analysis;Optical properties;Optical thickness;Organic matter;Particulate emissions;Particulate matter;Satellite imagery;Satellite instruments;Satellites;Simulation;Suspended particulate matter;Time series
日期:	2015-11-27
上傳時間:	2026-04-21 14:08:37 (UTC+8)
出版者:	European Geosciences Union;Katlenburg-Lindau: Copernicus GmbH
摘要:	摘要： 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 m−3, with 400 million residents in regions that exceed the Interim Target-1 of the World Health Organization. 出版者： Katlenburg-Lindau: Copernicus GmbH 出版日期： 2015-11-27 出處： Atmospheric Chemistry and Physics, 2015-11, Vol.15 (22), p.13133-13144 資源來源： Agricultural & Environmental Science Collection 版權： 2015. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 識別號： ISSN: 1680-7316 識別號： EISSN: 1680-7324 識別號： DOI: 10.5194/acp-15-13133-2015
顯示於類別:	[大氣科學學系] 期刊論文

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