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The control of anthropogenic emissions contributed to 80% of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017

机译:人为排放的控制促使2013年至2017年北京PM2.5浓度降低的80%

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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 mu g m(-3) in 2017 from 89.5 mu g m(-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 WRF-CMAQ 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.
机译:随着北京五年清洁空气行动计划于2017年底完成,2017年北京的年平均PM2.5集中在2017年的89.5 Mu Gm(-3)中逐渐降至58.0 mm gm(-3) 。然而,存在争议,争论2017年的有利气象条件是PM2.5浓度这种迅速下降的主要驱动因素。为了全面评估这一5年的计划,我们雇用了Kolmogorov-Zurbenko(KZ)过滤器和WRF-CMAQ(天气研究和预测和社区多尺度空气质量),以量化气象条件和对人类的控制的相对贡献2013年至2017年北京减排了PM2.5的排放。这5年来,通过KZ滤波和WRF-CMAQ计算的PM2.5浓度降低的相对贡献分别为80.6%和78.6%。 KZ过滤表明气象和排放条件的短期变化主要是北京PM2.5浓度的快速变化。 WRF-CMAQ透露,当地和区域减排对PM2.5的相对贡献分别下降53.7%和24.9%。对于局部排放措施,煤锅炉的调节,越来越多地使用清洁燃料,分别为PM2.5减少20.1%,17.4%和10.8%。这两种模型都表明,人为排放的控制占北京的PM2.5减少的80%左右,表明减排对2013年至2017年北京的空气质量增强至关重要。因此,如此长期的空气质量清洁计划在接下来的几年内继续进行,以进一步减少北京的PM2.5浓度。

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  • 来源
    《Atmospheric chemistry and physics》 |2019年第21期|共15页
  • 作者单位

    Beijing Normal Univ State Key Lab Earth Surface Proc &

    Resource Ecol Coll Global &

    Earth Syst Sci 19 Xinjiekou St Beijing 100875 Peoples R China;

    Beijing Normal Univ State Key Lab Earth Surface Proc &

    Resource Ecol Coll Global &

    Earth Syst Sci 19 Xinjiekou St Beijing 100875 Peoples R China;

    Chinese Univ Hong Kong Dept Geog &

    Resource Management Hong Kong Peoples R China;

    Univ Calif Davis Dept Land Air &

    Water Resources Davis CA 95616 USA;

    China Agr Univ Coll Land Sci &

    Technol Tsinghua East Rd Beijing 100083 Peoples R China;

    Beijing Normal Univ State Key Lab Earth Surface Proc &

    Resource Ecol Coll Global &

    Earth Syst Sci 19 Xinjiekou St Beijing 100875 Peoples R China;

    Beijing Normal Univ State Key Lab Earth Surface Proc &

    Resource Ecol Coll Global &

    Earth Syst Sci 19 Xinjiekou St Beijing 100875 Peoples R China;

    Tsinghua Univ Minist Educ Key Lab Earth Syst Modeling Dept Earth Syst Sci Beijing 100084 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

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