Application of Chaos Theory in Time Series Analysis of NH_3—N Pollution Index

ZHOU Wei; ZHANG Bin; LIU Zu-han; DENG Qing-chun; QIN Fa-chao; DI Bao-feng; YU Bo

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Application of Chaos Theory in Time Series Analysis of NH_3—N Pollution Index

- Application of Chaos Theory in Time Series Analysis of NH_3—N Pollution Index
- Bulletin of Soiland Water Conservation Vol. 30, Issue 2, Pages: 138-141(2011)
- 作者机构：
  
  1. 西华师范大学国土资源学院
  2. 四川大学建筑与环境学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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ZHOU Wei, ZHANG Bin, LIU Zu-han, et al. Application of Chaos Theory in Time Series Analysis of NH_3—N Pollution Index[J]. Bulletin of Soiland Water Conservation, 2011, 30(2): 138-141.
DOI：

ZHOU Wei, ZHANG Bin, LIU Zu-han, et al. Application of Chaos Theory in Time Series Analysis of NH_3—N Pollution Index[J]. Bulletin of Soiland Water Conservation, 2011, 30(2): 138-141. DOI：

摘要

根据混沌理论

对四川省乐山岷江大桥NH3

—N污染指数时间序列通过相空间重构

应用自相关法和Cao方法确定出重构参数

并分别计算了该序列的关联维、最大Lyapunov指数以及Kolmogorov熵等特征量。结果表明

四川省乐山岷江大桥NH

—N污染指数时间序列存在明显的混沌特性

是非线性混沌动力系统演化的结果;研究结果为进一步研究NH

—N污染指数时间序列的复杂性、演化规律及预测奠定了基础

也可为岷江中上游地区水质环境监测和保护提供决策支持。

Abstract

According to Chaos Theory

the time series of NH3—N pollution index at Minjiang Bridge in Le-shan City

Sichuan Province was reconstructed through the phase spaces.The reconstruction parameters were determined by the application of mutual information and Cao's method

and the characteristic indices including correlation dimension

Maximal Lyapunov index and Kolmogorov entropy were calculated accordingly.All the results indicate that a nonlinear chaotic characteristic can be clearly identified in the time series of NH3—N pollution index of Minjiang Bridge

which might result from the non-linear chaotic dynamic system evolution.The research laid the basic foundation for further study on the complexity and evolutionary law of the time series of NH3—N pollution index.It also offered the decision-making support for monitoring and protection of water quality in the middle and upper reaches of Minjiang River.

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