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Fine particulate (PM2.5) dynamics during rapid urbanization in Beijing 1973–2013

机译:1973-2013年北京快速城市化过程中的细颗粒物(PM2.5)动态

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摘要

PM2.5 has been given special concern in recent years when the air quality monitoring station started recording. However, long-term PM2.5 concentration dynamic analysis cannot be taken with the limited observations. We therefore estimated the PM2.5 concentration using meteorological visibility data in Beijing. We found that 71 ± 17% of PM10 were PM2.5, which contributed to visibility impairment (y = 332.26e−0.232x; R2 = 0.75, P < 0.05). We then reconstructed a time series of annual PM2.5 from 1973 to 2013, and examined its relationship with urbanization by indicators of population, gross domestic production (GDP), energy consumption, and number of vehicles. Concluded that 1) Meteorological conditions were not the major cause of PM2.5 increase from 1973 to 2013; 2) With population and GDP growth, PM2.5 increased significantly (R2 = 0.5917, P < 0.05; R2 = 0.5426, P < 0.05); 3) Intensive human activity could change air quality in a short period, as observed changes in the correlations of PM2.5 concentration with energy consumption and number of vehicles before and after 2004, respectively. The success of this research provides an easy way in reconstructing long-term PM2.5 concentration with limited PM2.5 observation and meteorological visibility, and insight the impact of urbanization on air quality.
机译:近年来,当空气质量监测站开始记录时,PM2.5受到了特别关注。然而,有限的观察不能进行长期的PM2.5浓度动态分析。因此,我们使用北京的气象能见度数据估算了PM2.5的浓度。我们发现71%±17%的PM10为PM2.5,这导致可见度受损(y = 332.26e -0.232x ; R 2 = 0.75,P <0.05 )。然后,我们重构了从1973年到2013年的PM2.5年度时间序列,并通过人口,国内生产总值(GDP),能源消耗和车辆数量的指标检验了其与城市化的关系。结论如下:1)气象条件不是1973年至2013年PM2.5升高的主要原因; 2)随着人口和GDP的增长,PM2.5显着上升(R 2 = 0.5917,P <0.05; R 2 = 0.5426,P <0.05); 3)密集的人类活动可能会在短时间内改变空气质量,因为分别观察到2004年前后PM2.5浓度与能耗和车辆数量之间的相关性变化。这项研究的成功为重建长期的PM2.5浓度提供了一种简便的方法,该方法具有有限的PM2.5观测和气象能见度,并洞察了城市化对空气质量的影响。

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