初论地质信息有序系列
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摘要
信息有序系列（ＩＯＳ）是笔者提出的一个新概念，是指具有非随机性定义的信息、非周期性、存在于大量无序中的有序部分特征的有序性。ＩＯＳ的理论是应用基于较少假设的、较为简单的数字或几何模式去研究地质体客观存在的复杂性，减少类似概率分布、周期性、平稳性、遍历理论等假设要求。ＩＯＳ中的一组现象，表面上看类似于周期，但被广义地定义，它们不能被谱分析和统计分析发现。“系列”一词用以与“模型”相区别，其特点是仅在有限范围和短时间内存在，是不平稳和遍历的。“有序”一词是强调在混沌中存在的有序部分，可应用于预测目的。所以，ＩＯＳ是有序性中一部分。大地震、热点、超大型矿床、节理等时空分布表明了ＩＯＳ的客观存在。
In this paper a new concept “Informational Ordered Series” (IOS) has been introduced to define a part of orderliness which is characterized by information based on non stochastic concept, non periodicity, and ordered part occurred in non ordered majority. The theoretical considerations of IOS is to apply more simple numerical or geometric model based on fewer hypotheses to fit practical occurrence of complexity of geological bodies, reducing the hypothetical requirements, such as probability distribution, periodicity, stationary ergodic theory etc. One group of IOS is similar to period, however, it is defined in a wider sense, and can not be found by spectrum or statistical analysis. The word “series” in IOS is used in a different sense from “model” in that the interesting orderliness is functional only in a limited range or short time duration, and is not stationary and non ergodic. The word “ordered” is applied to emphasize the search for the order part in the chaos for the purpose of prediction. Therefore, IOS is a part of orderliness, and its occurrence can be proved by the temporal or spatial distributions of large earthquakes, hotspots, super large sized mineral deposits, joints and so on.
In this paper a new concept “Informational Ordered Series” (IOS) has been introduced to define a part of orderliness which is characterized by information based on non stochastic concept, non periodicity, and ordered part occurred in non ordered majority. The theoretical considerations of IOS is to apply more simple numerical or geometric model based on fewer hypotheses to fit practical occurrence of complexity of geological bodies, reducing the hypothetical requirements, such as probability distribution, periodicity, stationary ergodic theory etc. One group of IOS is similar to period, however, it is defined in a wider sense, and can not be found by spectrum or statistical analysis. The word “series” in IOS is used in a different sense from “model” in that the interesting orderliness is functional only in a limited range or short time duration, and is not stationary and non ergodic. The word “ordered” is applied to emphasize the search for the order part in the chaos for the purpose of prediction. Therefore, IOS is a part of orderliness, and its occurrence can be proved by the temporal or spatial distributions of large earthquakes, hotspots, super large sized mineral deposits, joints and so on.
引文
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