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Analysis and forecast of the environmental radioactivity dynamics based on methods of chaos theory: general scheme and some application

机译:基于混沌理论方法的环境放射性动力学分析与预测:一般方案及其应用

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摘要

We present firstly a new whole technique of analysis, processing and forecasting environmental radioactivity dynamics, which has been earlier developed for the atmospheric pollution dynamics analysis and investigation of chaotic feature sin dynamics of the typical hydroecological systems. The general formalism include: a) A general qualitative analysis of dynamical problem of the environmental radioactivity dynamics (including a qualitative analysis from the viewpoint of ordinary differential equations, the “Arnold-analysis”); b) checking for the presence of a chaotic (stochastic) features and regimes (the Gottwald-Melbourne’s test; the method of correlation dimension); c) Reducing the phase space (choice of the time delay, the definition of the embedding space by methods of correlation dimension algorithm and false nearest neighbor points); d) Determination of the dynamic invariants of a chaotic system (Computation of the global Lyapunov dimension λa; determination of the Kaplan-York dimension dL and average limits of predictability Prmax on the basis of the advanced algorithms; e) A non-linear prediction (forecasting) of an dynamical evolution of the system. The last block indeed includes new (in a theory of environmental radioactivity dynamics) methods and algorithms of nonlinear prediction such as methods of predicted trajectories, stochastic propagators and neural networks modelling, renorm-analysis with blocks of the polynomial approximations, wavelet-expansions etc.
机译:我们首先提出了一种新的整体技术的分析,加工和预测环境放射性动力学,这已经提前为大气污染动力学分析和对典型水文系统的混沌特征SIN动态开发的。一般形式主义包括:a)环境放射性动力学的动态问题的一般性分析(包括从普通微分方程的观点来看,“Arnold-Analysis”); b)检查是否存在混沌(随机)特征和制度(Gottwald-Melbourne的测试;相关维度的方法); c)减少相位空间(选择时间延迟,通过相关维算法的方法和错误最近邻点的嵌入空间的定义); d)确定混沌系统的动态不变性(全球Lyapunov维度λa的计算;基于先进算法的基于高级算法的Kaplan-York尺寸DL和可预测性Prmax的平均限制; e)非线性预测(系统动态演化的预测。最后的块确实包括新的(在环境放射性动态的理论中)的非线性预测方法和算法,例如预测轨迹,随机传播者和神经网络建模的方法,用多项式近似,小波扩展等块进行更新分析。

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