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Simple multifractal cascade model for air pollutant concentration (APC) time series

机译:空气污染物浓度(APC)时间序列的简单多重分形级联模型

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A simple two-scale Cantor set with unequal scales and weights was presented for the APC time series. The validity of this multifractal cascade model was examined with a one-year length of hourly average CO, NO, NO_2, O_3, PM10 and SO_2 observations. This model fits remarkably well the entire spectrum of scaling exponents for the examined APC time series. It was found that the multifractal characteristics of the examined APC time series were closely related to both scale and weight parameters. Moreover, the weight parameter could be used to distinguish the degree of right-skewness of APC frequency distribution. However, the relationship between the long-range dependence and model parameters still requires further investigation. Some problems concerning the applicability of multifractal models on air pollution are also discussed.
机译:针对APC时间序列,提出了一个简单的两比例Cantor集,其比例和权重不相等。用一年平均每小时的CO,NO,NO_2,O_3,PM10和SO_2观测值检验了这种多重分形级联模型的有效性。对于所检查的APC时间序列,该模型非常适合整个比例指数范围。发现所检查的APC时间序列的多重分形特征与规模和重量参数都密切相关。此外,权重参数可用于区分APC频率分布的右偏度。但是,远程依赖关系和模型参数之间的关系仍需要进一步研究。还讨论了有关多重分形模型在空气污染中的适用性的一些问题。

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