首页> 外文会议>International Conference on Modelling, Monitoring and Management of Air Pollution; 2005; Cordoba(ES) >The study of ground ozone concentration levels: a functional analysis approach based on Principal Components Analysis
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The study of ground ozone concentration levels: a functional analysis approach based on Principal Components Analysis

机译:地面臭氧浓度水平研究:基于主成分分析的功能分析方法

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Ground O_3 represents one of the most dangerous environmental pollutants. It is generated through complex physical and chemical processes in the atmosphere and combustion processes in the troposphere involving a non-linear relationship between ozone, other pollutants (in particular its precursor as NO or NO_2) and meteorological variables (primarily solar radiation and temperature). Because of this complexity the determination of O_3 concentration levels based on a deterministic approach is generally not possible or is limited to a very few particular cases. In this work we have considered an innovative approach based on the application of Functional Principal Components Analysis (FPCA) to experimental data consisting in time series of the concentration of ground O_3, NO_x, solar irradiation and temperature, in order to extract more or less manifest features characterizing the behaviour of the variables considered, to be used for a better understanding of ground ozone dynamics.
机译:地面O_3代表最危险的环境污染物之一。它是通过大气中复杂的物理和化学过程以及对流层中的燃烧过程产生的,涉及臭氧,其他污染物(尤其是其前体为NO或NO_2)与气象变量(主要是太阳辐射和温度)之间存在非线性关系。由于这种复杂性,基于确定性方法确定O_3浓度水平通常是不可能的,或者仅限于极少数特定情况。在这项工作中,我们考虑了一种基于功能主成分分析(FPCA)应用于实验数据的创新方法,该实验数据包括地面O_3,NO_x浓度,太阳辐射和温度的时间序列,以提取或多或少的证据表征所考虑变量行为的特征,可用于更好地理解地面臭氧动力学。

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