Characterization of chaos in air pollutants: A Volterra-Wiener-Korenberg series and numerical titration approach

被引：16

作者：

Kumar, Ujjwal ^{[1
]}

Prakash, Amit ^{[1
]}

Jain, V. K. ^{[1
]}

机构：

[1] Jawaharlal Nehru Univ, Sch Environm Sci, New Delhi 110067, India

来源：

ATMOSPHERIC ENVIRONMENT | 2008年 / 42卷 / 07期

关键词：

nonlinearity; chaos; numerical titration; minimum embedding dimension;

D O I：

10.1016/j.atmosenv.2007.10.076

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The present study attempts to provide in insight into the chaotic nature of air pollutants by applying the recent developments in [lie field of nonlinear dynamics. The Volterra-Wiener-Korenberg (VWK) series approach by Barahona and Poon [1996. Detection of nonlinear dynamics in short, noisy time series. Nature 381, 215-217] has been used to investigate the nonlinearity of O-3, NO, NO2 and CO time series at two urban stations, namely-Hohenpeissenberg and Jungfraujoch. Nonlinearity has been detected in NO2, and CO time series at both the stations. The numerical titration technique [Poon, C., Barahona, M., 2001. Titration of chaos with added noise. Proceedings of the National Academy of Sciences 98, 7107-7112] reveals that the dynamics of NO, and CO are indeed governed by deterministic chaos. Cao's method [Cao, L., 1997. Practical method for determining the minimum embedding dimension of I scalar time series. Physica D 110, 43-50] to determine the minimum embedding dimension further reveals that probably the dynamics of both NO, and CO time series are manifestations of high-dimensional chaos. It is interesting to note that similar chaotic characteristic of NO, and CO time series have been observed at both the sites indicating a possible universality in their chaotic nature in the ambient urban environment. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1537 / 1551

页数：15

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