混沌理论在NH3—N污染指数时间序列分析中的应用
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四川省科技支撑项目“川中丘陵区农户居住环境清洁技术研究与示范”(2009SZ0027)


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

    根据混沌理论,对四川省乐山岷江大桥NH33—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NH3—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NH3—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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周维,张斌,刘祖涵,邓青春,覃发超,第宝锋,余波.混沌理论在NH3—N污染指数时间序列分析中的应用[J].水土保持通报,2011,(2):138-141

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  • 收稿日期:2010-07-05
  • 最后修改日期:2010-09-08
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  • 在线发布日期: 2014-11-26
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