TY - JOUR
T1 - The control of anthropogenic emissions contributed to 80 % of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017
AU - Chen, Ziyue
AU - Chen, Danlu
AU - Kwan, Mei Po
AU - Chen, Bin
AU - Gao, Bingbo
AU - Zhuang, Yan
AU - Li, Ruiyuan
AU - Xu, Bing
N1 - Funding Information:
Acknowledgements. Sincere gratitude goes to Tsinghua University, which produced the Multi-resolution Emission Inventory for China (http://meicmodel.org/, last access: 16 February 2019) and the Research Center for Air Quality Simulation and Forecast, Chinese Research Academy of Environmental Sciences (http://106.38.83.6/, last access: 16 February 2019), which supported the model simulation in this research. This research is supported by the National Key Research and Development Program of China (no. 2016YFA0600104) and National Natural Science Foundation of China (grant no. 41601447).
Funding Information:
Sincere gratitude goes to Tsinghua University, which produced the Multi-resolution Emission Inventory for China (http://meicmodel.org/, last access: 16 February 2019) and the Research Center for Air Quality Simulation and Forecast, Chinese Research Academy of Environmental Sciences (http://106.38.83.6/, last access: 16 February 2019), which supported the model simulation in this research. This research is supported by the National Key Research and Development Program of China (no. 2016YFA0600104) and National Natural Science Foundation of China (grant no. 41601447). This research has been supported by the National Key Research and Development Program of China (no. 2016YFA0600104), and the State Key Laboratory of Earth Surface Processes and Resource Ecology (grant no. 2017-KF-22).
Funding Information:
1State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global and Earth System Science, Beijing Normal University, 19 Xinjiekou Street, Haidian, Beijing 100875, China 2Joint Center for Global Change Studies, Beijing 100875, China 3Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China 4Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China 5Department of Human Geography and Spatial Planning, Utrecht University, 3584 CB Utrecht, the Netherlands 6Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA 7College of Land Science and Technology, China Agriculture University, Tsinghua East Road, Haidian District, Beijing 100083, China 8Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing 100084, China
Publisher Copyright:
© Author(s) 2019.
PY - 2019/11/6
Y1 - 2019/11/6
N2 - With the completion of the Beijing Five-year Clean Air Action Plan by the end of 2017, the annual mean PM2.5 concentration in Beijing dropped dramatically to 58.0 μgm-3 in 2017 from 89.5 μgm-3 in 2013. However, controversies exist to argue that favourable meteorological conditions in 2017 were the major driver for such a rapid decrease in PM2.5 concentrations. To comprehensively evaluate this 5-year plan, we employed a Kolmogorov-Zurbenko (KZ) filter and WRF-CMAQ (Weather Research and Forecasting and the Community Multi-scale Air Quality) to quantify the relative contribution of meteorological conditions and the control of anthropogenic emissions to PM2.5 reduction in Beijing from 2013 to 2017. For these 5 years, the relative contribution of emission reduction to the decrease in PM2.5 concentrations calculated by KZ filtering and WRFCMAQ was 80.6% and 78.6% respectively. KZ filtering suggested that short-term variations in meteorological and emission conditions contributed majorly to rapid changes in PM2.5 concentrations in Beijing. WRF-CMAQ revealed that the relative contribution of local and regional emission reduction to the PM2.5 decrease in Beijing was 53.7% and 24.9% respectively. For local emission-reduction measures, the regulation of coal boilers, increasing use of clean fuels for residential use and industrial restructuring contributed 20.1 %, 17.4% and 10.8% to PM2.5 reduction respectively. Both models suggested that the control of anthropogenic emissions accounted for around 80% of the PM2.5 reduction in Beijing, indicating that emission reduction was crucial for air quality enhancement in Beijing from 2013 to 2017. Consequently, such a long-term air quality clean plan should be continued in the following years to further reduce PM2.5 concentrations in Beijing.
AB - With the completion of the Beijing Five-year Clean Air Action Plan by the end of 2017, the annual mean PM2.5 concentration in Beijing dropped dramatically to 58.0 μgm-3 in 2017 from 89.5 μgm-3 in 2013. However, controversies exist to argue that favourable meteorological conditions in 2017 were the major driver for such a rapid decrease in PM2.5 concentrations. To comprehensively evaluate this 5-year plan, we employed a Kolmogorov-Zurbenko (KZ) filter and WRF-CMAQ (Weather Research and Forecasting and the Community Multi-scale Air Quality) to quantify the relative contribution of meteorological conditions and the control of anthropogenic emissions to PM2.5 reduction in Beijing from 2013 to 2017. For these 5 years, the relative contribution of emission reduction to the decrease in PM2.5 concentrations calculated by KZ filtering and WRFCMAQ was 80.6% and 78.6% respectively. KZ filtering suggested that short-term variations in meteorological and emission conditions contributed majorly to rapid changes in PM2.5 concentrations in Beijing. WRF-CMAQ revealed that the relative contribution of local and regional emission reduction to the PM2.5 decrease in Beijing was 53.7% and 24.9% respectively. For local emission-reduction measures, the regulation of coal boilers, increasing use of clean fuels for residential use and industrial restructuring contributed 20.1 %, 17.4% and 10.8% to PM2.5 reduction respectively. Both models suggested that the control of anthropogenic emissions accounted for around 80% of the PM2.5 reduction in Beijing, indicating that emission reduction was crucial for air quality enhancement in Beijing from 2013 to 2017. Consequently, such a long-term air quality clean plan should be continued in the following years to further reduce PM2.5 concentrations in Beijing.
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U2 - 10.5194/acp-19-13519-2019
DO - 10.5194/acp-19-13519-2019
M3 - Article
AN - SCOPUS:85074713360
SN - 1680-7316
VL - 19
SP - 13519
EP - 13533
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
IS - 21
ER -