论文标题
报告：马德里中央实施后，埃斯卡埃拉·阿奎尔（Escuelas Aguirre）的PM2.5浓度的演变
Report: Evolution of the PM2.5 concentration at Escuelas Aguirre after Madrid Central implementation
论文作者
论文摘要
在本报告中，分析了2019年季度Escuelas Aguirre监测站的PM2.5浓度的演变，以及差异与前几年四分之一的浓度的重要性。这些时期包括激活马德里中心，这是减少市中心的汽车交通和相关污染的主要举措。这些时期对应于2019Q1的初始化；以及马德里中央（Madrid Central）的树木全部宿舍，2019年第2、2019季度和2019Q4。 Escuelas Aguirre监测站不在马德里中部，而是在2公里外。该站点的PM2.5浓度的分析允许辨别由于交通限制区域周围的电动机流量增加而导致的负面影响的增加。该分析基于单个样本的二项式符号测试。通过在两年的测量中减去PM2.5的每日平均浓度来生成符号样本：20xx和2019年。用于2019年的成对比较样本与2010年至2018年期间的年度相比。过量的正符号或负符号表明，在比较两年中，浓度测量值之间的差异是显着的。相反，数量平衡的正和负迹象指出该动作没有影响。由于风是有效的污染剂，因此在两期比较中，二项式标志测试也适用于其强度。这允许辨别污染是否可以与比较的2019年季度大风天相关。
In this report, the evolution of PM2.5 concentration at Escuelas Aguirre monitoring station during the quarters of 2019 and the significance of the differences with the concentration of the quarters of previous years is analysed. These periods include the activation of Madrid Central, which is a major initiative for reducing motor traffic and the associated pollution at the city centre. These periods correspond to the initialisation of, 2019Q1; and to tree fully-operational quarters of Madrid Central, 2019Q2, 2019Q3 and 2019Q4. Escuelas Aguirre monitoring station is not inside Madrid Central but 2 km away. The analysis of the PM2.5 concentration at this station allows discerning the rise of negative effects due to an increment of the motor traffic around the traffic restricted area. The analysis is based on the Binomial Sign Test for a Single Sample. The sample of signs is generated by subtracting the daily mean concentration of PM2.5 for the measurements of the period of two years: 20xx and 2019. Samples for the pair-wise comparisons for the year 2019 versus the years of the periods from 2010 to 2018 are evaluated. An excess of positive or negative sign indicates that the differences between the measurements of concentrations in the comparison of two years are significant. Conversely, a balanced number of positive and negative signs points to no impact of the action. Since wind is an efficient pollution remover, the Binomial Sign Test is also applied to its intensity in the two-periods comparison. This allows discerning if the pollution reduction could be associated to a larger number of windy days in the 2019 quarter under comparison.
