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首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >Worsening urban ozone pollution in China from 2013 to 2017 – Part?2: The effects of emission changes and implications for multi-pollutant control
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Worsening urban ozone pollution in China from 2013 to 2017 – Part?2: The effects of emission changes and implications for multi-pollutant control

机译:2013年至2017年中国城市臭氧污染恶化 - 部分?2:对多污染物控制的排放变化和影响的影响

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The Chinese government launched the Air Pollution Prevention and Control Action Plan in 2013, and various stringent measures have since been implemented, which have resulted in significant decreases in emissions and ambient concentrations of primary pollutants such as SO2, NOx, and particulate matter (PM). However, surface ozone (O3) concentrations have still been increasing in urban areas across the country. In a previous analysis, we examined in detail the roles of meteorological variation during 2013–2017 in the summertime surface O3 trend in various regions of China. In this study, we evaluated the effect of changes in multi-pollutant emissions from anthropogenic activities on O3 levels during the same period by using an up-to-date regional chemical transport model (WRF-CMAQ) driven by an interannual anthropogenic emission inventory. The Community Multiscale Air Quality (CMAQ) model was improved with regard to heterogeneous reactions of reactive gases on aerosol surfaces, which led to better model performance in reproducing the ambient concentrations of those gases. The model simulations showed that the maximum daily 8h average (MDA8) O3 mixing ratio in urban areas increased by 0.46ppbv per year (ppbv?a?1) (p=0.001) from 2013 to 2017. In contrast, a slight decrease in MDA8 O3 by 0.17ppbv?a?1 (p=0.005) in rural areas was predicted, mainly attributable to the NOx emission reduction. The effects of changes in individual pollutant emissions on O3 were also simulated. The reduction of NOx emission increased the O3 levels in urban areas due to the nonlinear NOx and volatile organic compound (VOC) chemistry and decreasing aerosol effects; the slight increase in VOC emissions enhanced the O3 levels; the reduction of PM emissions increased the O3 levels by enhancing the photolysis rates and reducing the loss of reactive gases on aerosol surfaces; and the reduction of SO2 emissions resulted in a drastic decrease in sulfate concentrations, which increased O3 through aerosol effects. In contrast to the unfavorable effect of the above changes in pollutant emissions on efforts to reduce surface O3, the reduction of CO emissions did help to decrease the O3 level in recent years. The dominant cause of increasing O3 due to changes in anthropogenic emissions varied geographically. In Beijing, NOx and PM emission reductions were the two largest causes of the O3 increase; in Shanghai, the reduction of NOx and increase in VOC emissions were the two major causes; in Guangzhou, NOx reduction was the primary cause; in Chengdu, the PM and SO2 emission decreases contributed most to the O3 increase. Regarding the effects of decreasing concentrations of aerosols, the drop in heterogeneous uptake of reactive gases – mainly HO2 and O3 – was found to be more important than the increase in photolysis rates. The adverse effect of the reductions of NOx, SO2, and PM emissions on O3 abatement in Beijing, Shanghai, Guangzhou, and Chengdu would have been avoided if the anthropogenic VOCs emission had been reduced by 24%, 23%, 20%, and 16%, respectively, from 2013 to 2017. Our analysis revealed that the NOx reduction in recent years has helped to contain the total O3 production in China. However, to reduce O3 levels in major urban and industrial areas, VOC emission controls should be added to the current NOx-SO2-PM policy.
机译:中国政府在2013年推出了空中污染防治行动计划,自实施后,各种严格措施,这导致初级污染物(如SO2,NOX和颗粒物)(PM)中的排放和环境浓度显着降低。然而,地表臭氧(O3)浓度仍然在全国城市地区仍然增加。在先前的分析中,我们详细介绍了2013 - 2017年期间气象变异在中国各地区夏季地表O3趋势中的气象变异。在这项研究中,我们通过使用由年前人为排放库存驱动的最新区域化学传输模型(WRF-CMAQ),评估了在同一时期对O3水平的多污染物发射的影响的影响。关于气溶胶表面反应气体的异质反应,改善了社区多尺度空气质量(CMAQ)模型,这导致更好的模型性能在再现这些气体的环境浓度方面。模型模拟表明,城市地区的最高每日8小时平均(MDA8)O3混合比率从2013到2017年增加了每年0.46ppbv(ppbbv?a?1)(p = 0.001)。相比之下,MDA8略有下降O3达0.17ppbv?预测农村地区的一个(p = 0.005),主要归因于NOx减排。还模拟了O3上个体污染物排放变化的影响。由于非线性NOx和挥发性有机化合物(VOC)化学并降低气溶胶效应,降低NOx排放的降低增加了城市地区的O3水平; VOC排放略有增加增强了O3水平;通过增强光解率并降低气溶胶表面上的反应气体损失,减少PM排放量增加了O3水平;并且SO2排放的还原导致硫酸盐浓度的急剧下降,其通过气溶胶效应增加了O3。与上述污染物排放对减少表面O3的努力的不利影响相比,CO排放的减少确实有助于降低近年来的O3水平。由于人为排放的变化而增加O3的主导原因在地理上变化。在北京,NOX和PM排放减少是O3增加的两个原因;在上海,减少NOx和VOC排放的增加是两大原因;在广州,诺克克斯还原是主要原因;在成都,PM和SO2排放减少到O3增加最大贡献。关于降低气溶胶浓度的影响,发现反应气体的异质吸收的下降 - 主要是HO2和O3 - 比光解率的增加更重要。 NOx,SO2和PM排放对北京,上海,广州和成都的o3减少的不利影响,如果人为转霉型排放减少24%,23%,20%和16分别从2013年到2017年分别为2013年。我们的分析表明,近年来的NOx减少有助于遏制中国的总O3生产。但是,为了减少主要城市和工业区的O3水平,应将VOC排放控制添加到目前的NOX-SO2-PM政策中。

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