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Classification of planetary craters using outline-based morphometrics

机译:使用基于轮廓的形态化学的行星陨石坑分类

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The morphologies of craters on planetary surfaces reveal clues about the geologic mechanisms by which they originate and subsequently evolve, as well as the materials and physical variables inherent to the environment in which they formed. We carried out a quantitative multivariate analysis of shape descriptors derived from the outlines of craters formed by volcanic processes on Mars, Io, and Earth and by impact cratering on the Moon using elliptic Fourier analysis (EFA) and the Zahn-Roskies (Z-R) shape function.Canonical variate analysis (CVA) was used to construct a statistical model of differences between the crater groups to classify craters produced by various volcanic and impact processes.The classification model from canonical variate analysis of EFA shape descriptors yielded a 90% rate of success for the assignment of group membership among 406 examined craters. It correctly classified 138 of 154 (90%) ionian paterae,154 of 155 (99%) lunar impact craters, 31 of 35 (89%) terrestrial basaltic shield calderas, 32 of 38 (84%) terrestrial ash-flow calderas, and 12 of 24 (50%) martian basaltic shield calderas. The classification model from canonical variate analysis of Z-R shape function descriptors classified 84% of the total population of the examined craters correctly. The analysis correctly classified 96% of ionian paterae, 100% lunar impact craters, 51% terrestrial basaltic shield calderas, and 63% martian calderas, but only 16% of the terrestrial ash-flow calderas were correctly classified. Canonical variate analysis of EFA and Z-R results shows that the shapes of ash-flow calderas and paterae on Io differ the least of all groups included in this study, and basaltic shield calderas and martian calderas analyzed together also have few differences. The Z-R model successfully classifies more ionian patera and impact craters than the EFA classification model but performs poorly at classifying the other crater groups. This result shows that the descriptors convey different shape information. The Z-R model is robust in its ability to classify end member differences in complexity while the EFA model is robust in its ability to reliably classify among more groups.These differences and similarities in shape confirm previously understood commonalities related to the origin and evolution of various types of craters. In general, basalt shield calderas on Earth and Mars are morphologically similar and are thought to have similar origins; this study confirms that the 2-D shapes of their craters are quantitatively correlated. Similarities have been noted between terrestrial ash-flow calderas and paterae on Io, principally in their large sizes, shallow magma chambers and complex evolution; this study confirms their shapes are also similar. Impact craters and ionian paterae are most dissimilar, as are their evolutions. This study demonstrates rigorous landform shape analysis can greatly increase our understanding of the diversity in craters and the processes involved in their formation. (c) 2020 Elsevier B.V. All rights reserved.
机译:行星表面上的陨石坑的形态揭示了它们源自和随后发展的地质机制的线索,以及它们形成的环境所固有的材料和物理变量。我们对由火山,IO和地球上的火山过程形成的陨石坑的纲要进行了定量多元分析,以及使用椭圆傅里叶分析(EFA)和Zahn-Roskies(Zr)形状在月球上的撞击陨石坑功能。用于构建火山口组之间的差异的统计模型,以分类各种火山和冲击过程产生的陨石坑。来自EFA形状描述符的规范变化分析的分类模型产生了90%的成功率对于406名审查的陨石坑之间的团体成员资格分配。它正确分类为154(90%)Ionian Paterae的138名,155名(99%)月球冲击陨石坑,31个(89%)陆地玄武岩盾构山脉,32名(84%)陆地灰烬碎裂山脉,和24个(50%)火星玄武岩盾牌的第12名。来自Z-R形函数描述符的规范变化分析的分类模型正确分类了所检查的陨石坑的总群体的84%。分析正确归类为96%的离子水道,100%的月球冲击陨石坑,51%的陆地玄武岩盾构,和63%的火星火山口,但只有16%的陆地灰烬碎裂的火山口被正确分类。 EFA和Z-R的规范变异分析表明,IO上的灰分布卡尔德拉斯和石板的形状不同于本研究中包含的所有群体,而玄武岩盾牌Calderas和Martian Calderas分析在一起也有很少的差异。 Z-R模型成功地分类了比EFA分类模型更多的离子Patera和冲击陨石坑,但在分类其他火山口群体时表现不佳。该结果表明描述符传达不同的形状信息。 Zr模型在其复杂性的最终成员差异的能力方面是强大的,而EFA模型在更多组中可以可靠地分类的能力。这些差异和形状的相似性证实了与各种类型的起源和演化相关的先前所理解的共性陨石坑。一般来说,地球和火星上的玄武岩盾牌火山口是相似的,并且被认为具有相似的起源;该研究证实,其陨石坑的2-D形状是定量相关的。在IO的陆地灰烬火山口和石板之间已经注意到了相似之处,主要是它们的大尺寸,浅岩浆室和复杂的演化;本研究证实了他们的形状也是相似的。冲击陨石坑和爱奥尼亚人类人物最不一样,也是他们的进化。本研究表明严格的地貌形状分析可以大大提高我们对陨石坑中的多样性的理解和其形成所涉及的过程。 (c)2020 Elsevier B.v.保留所有权利。

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