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Location of areas of emission of pollutants when poor urban air quality is detected

机译:检测到城市空气质量差的污染物排放区域的位置

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摘要

Air pollution constitutes an environmental risk, evidenced in large urban centres. This work applies a methodology capable of detecting the areas of emission of pollutants when episodes of poor urban air quality are observed. This is carried out coupling air quality indices proposed by United States Environmental Protection Agency with the receptor model known as Nonparametric Trajectory Analysis. As a control case, observed concentrations (2013-2015) in Bahia Blanca (Argentina) were analysed, highlighting particulate matter as a dominant pollutant for episodes of poor air quality. Likewise, the application of the methodology allowed to reduce the number of possible stationary emission sources by 75%, and to highlight the implication of nearby linear sources. The strength of the methodology lies in visualising in real time, or in diagnostic mode, the potential areas of emission and their significance.
机译:空气污染构成了环境风险,在大型城市中心证明。 这项工作适用于能够在观察到差的城市空气质量剧集时检测污染物排放区域的方法。 这是通过称为非参数轨迹分析的受体模型提出的耦合空气质量索引。 作为一种控制案例,分析了Bahia Blanca(阿根廷)的观察到的浓度(2013-2015),突出了空气质量差的发作中的颗粒物作为占优势污染物。 同样,该方法的应用允许将可能的固定发射源的数量减少75%,并突出了附近的线性源的含义。 方法的强度在于实时可视化,或诊断模式,潜在的排放区域及其意义。

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