Study of PM10 pollution using signal analysis methods

Siwek Krzysztof, O. Stanislaw, S. Bartosz
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引用次数: 1

Abstract

The paper presents the study concerning the properties of the time series representing the distribution of the daily mean of PM10 pollution. Applying the chosen signal analysis methods we investigate different aspects of the process of formation of the PM10 pollution, including the dependencies between the pollution and environmental parameters (wind, temperature, humidity, etc), correlations between different atmospheric variables, nonlinearity of the process, etc. The results of this study are important in modeling the dynamics of the pollution creation.
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用信号分析方法研究PM10污染
本文对代表PM10污染日均值分布的时间序列的性质进行了研究。应用所选择的信号分析方法,我们研究了PM10污染形成过程的不同方面,包括污染与环境参数(风、温度、湿度等)之间的依赖关系,不同大气变量之间的相关性,过程的非线性等。本研究的结果对于模拟污染产生的动力学具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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