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城市空气SO2浓度时间序列的混沌特征
引用本文:蒋华英,徐鸣,王斌.城市空气SO2浓度时间序列的混沌特征[J].资源开发与市场,2006,22(3):235-237.
作者姓名:蒋华英  徐鸣  王斌
作者单位:四川大学环境科学与工程系,四川,成都,610065
摘    要:针对我国西北地区某燃煤型城市2002年1月1日至3月31日SO2小时浓度的时间序列资料,应用混沌重构相空间理论和分形理论,探讨了不同嵌入维下时间序列关联维的变化规律,并计算了该时间序列的Kolmogorov熵和最大Lyapunov指数。结果表明,该时间序列是一混沌时间序列,其最大预测时间为19h。

关 键 词:混沌特征  时间序列  城市空气SO2浓度
文章编号:1005-8141(2006)03-0235-03
收稿时间:2006-03-22
修稿时间:2006-05-09

Chaotic Characteristics of Urban Ambient SO2 Concentration Time Series
JIANG Hua-ying,XU Ming,WANG Bin.Chaotic Characteristics of Urban Ambient SO2 Concentration Time Series[J].Resource Development & Market,2006,22(3):235-237.
Authors:JIANG Hua-ying  XU Ming  WANG Bin
Institution:Department of Environmental Science and Engineering, Sichuan University, Chengdu 610065
Abstract:In accordance with the hourly urban SO_2 concentration time series data from January 1st to March 31th in one of the northwest cities of China,the phase space reconstruction theory and the fractal theory were applied in discussing the changes of attractors' dimension with respect to embedding dimension,and the Kolmogorov entropy as well as maximal Lyapunov exponent was calculated.The result showed that the urban SO_2 concentration time series was a chaotic series,and the longest forecasted time limit was 19 hours.
Keywords:chaotic characteristics  time series  rban ambient SO2
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