This study presents the application of self-organizing maps to air-quality data in order to analyze episodes of high pollution in Madrid (Spain’s capital city). The goal of this work is to explore the dataset and then compare several scenarios with similar atmospheric conditions (periods of high Nitrogen dioxide concentration): some of them when no actions were taken and some when traffic restrictions were imposed. The levels of main pollutants, recorded at these stations for eleven days at four different times from 2015 to 2018, are analyzed in order to determine the effectiveness of the anti-pollution measures. The visualization of trajectories on the self-organizing map let us clearly see the evolution of pollution levels and consequently evaluate the effectiveness of the taken measures, after and during the protocol activation time.

中文翻译：

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自组织映射以验证反污染策略

这项研究提出了自组织地图在空气质量数据中的应用，以便分析马德里（西班牙首都）的高污染事件。这项工作的目的是探索数据集，然后比较几种具有相似大气条件（高二氧化氮浓度的时期）的情景：其中一些在未采取任何措施的情况下，而某些在实施交通限制的情况下。为了确定反污染措施的有效性，分析了这些站点在2015年至2018年的四个不同时间记录的11天主要污染物的水平。自组织地图上的轨迹可视化使我们可以清楚地看到污染水平的演变，并因此评估在协议激活时间之后和期间所采取措施的有效性。