首页> 外文期刊>Tectonophysics: International Journal of Geotectonics and the Geology and Physics of the Interior of the Earth >Computer-based self-organized tectonic zoning revisited: Scientific criterion for determining the optimum number of zones
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Computer-based self-organized tectonic zoning revisited: Scientific criterion for determining the optimum number of zones

机译:重新研究基于计算机的自组织构造分区:确定最佳区域数量的科学标准

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As multivariate numerical classification become increasingly available to Earth Scientists, there is a corresponding need to introduce a scientific criterion or stopping rule to determine the optimum number of classifications. The increasing interest in comparative, experimental numerical zoning makes such a criterion highly desirable. In this research multivariate data comprising new and updated geological and geophysical characteristics of Iran have been used to construct Automatic Integrated Self-Organized Optimum Zoning (AISOOZ) maps. The Wilk's Lambda Criterion and the relative discrepancy of Wilk's Lambda have been applied for the first time as stopping rules to measure the relative usefulness of zoning maps. The application of these criteria has eventually led to an optimum map with 11 zones.Our AISOOZ map reveals some remarkable features that cannot be observed on conventional tectonic maps of Iran. For example: contrary to the conventional maps, the AISOOZ map reveals the much disputed extent and rigidity of the microplate in the central and eastern parts of Iran and makes a clear distinction between the Makran ranges and the eastern Iran mountains. The AISOOZ method is a new approach to zoning, organized in a hierarchy of increasing complexity, and developed from reductionist approach. Based on this logic, the AISOOZ method casts an interesting light on the connection between the zoning hierarchy and the geodynamic evolution of the study area. It also helps to estimate the likelihood of earthquake occurrence for each zone. The AISOOZ map not only can be re-assessed quite often, but also provides us with a means for on-line information availability. The information can be tailored to the user's specific needs and down-loaded to the user's computer. Furthermore, the general approach presented in this paper could readily be adapted to pattern recognition and zoning maps of any space, regardless of context or scale.
机译:随着地球科学家越来越多地使用数字数值分类法,相应地需要引入科学标准或停止规则来确定最佳分类数。人们对比较实验数值分区的兴趣日益增加,因此非常需要这种标准。在这项研究中,包含伊朗新的和更新的地质和地球物理特征的多变量数据已用于构建自动综合自组织最佳分区(AISOOZ)地图。威尔克的Lambda准则和威尔克的Lambda的相对差异首次被用作衡量分区地图相对有用性的停止规则。这些标准的应用最终导致了一个具有11个区域的最佳地图。我们的AISOOZ地图揭示了一些伊朗传统构造地图上无法观察到的显着特征。例如:与常规地图相反,AISOOZ地图揭示了伊朗中部和东部地区微孔板的争议程度和刚性,并在Makran山脉和伊朗东部山区之间做出了明显区分。 AISOOZ方法是一种新的分区方法,以越来越复杂的层次结构进行组织,并且是从还原主义方法发展而来的。基于这种逻辑,AISOOZ方法为研究区域的分区层次结构与地球动力学演化之间的联系提供了有趣的启示。它还有助于估计每个区域发生地震的可能性。 AISOOZ地图不仅可以经常重新评估,而且还为我们提供了一种在线获取信息的方法。该信息可以根据用户的特定需求进行定制,并下载到用户的计算机中。此外,本文提出的一般方法可以很容易地适用于任何空间的模式识别和分区图,无论上下文或比例如何。

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