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991.
Central Fujian Rift is another new and important volcanogenic massive sulfide Pb-Zn polymetallic metallogenetic belt. In order to find out the material genesis and mineralization period of Meixian-type Pb-Zn-Ag deposits, S and Pb isotope analysis and isotope geochronology of ores and wall rocks for five major deposits are discussed. It is concluded that the composition of sulfur isotope from sulfide ore vary slightly in different deposits and the mean value is close to zero with the 834S ranging from -3.5‰ to +5.6‰ averaging at +2.0‰, which indicates that the sulfur might originate from magma or possibly erupted directly from volcano or was leached from ore-hosted volcanic rock. The lead from ores in most deposits displays radioactive genesis character (206pb/204pb〉18.140, 207Pb/204pb〉15.584, 208pb/204pb〉38.569) and lead isotope values of ores are higher than those of wall rocks, which indicates that the lead was likely leached from the ore-hosted volcanic rocks. Based on isotope data, two significant Pb-Zn metallogenesis are delineated, which are Mid- and Late-Proterozoic sedimentary exhalative metailogenesis (The single zircon U-Pb, Sm-Nd isochronal and Ar-Ar dating ages of ore- hosted wall rocks are calculated to be among 933-1788 Ma.) and Yanshanian magmatic hydrothermal superimposed and alternated metallogenesis (intrusive SHRIMP zircon U-Pb and Rb-Sr isochronal ages between 127-154 Ma). 相似文献
992.
Three-dimensional modelling from single images remains an interesting topic of investigation in the research community, even though range sensors are becoming a common alternative for the generation of 3D information. The interest in single-image-based modelling is motivated by a wide spectrum of applications such as cultural heritage, civil engineering, urban planning and even criminology. In this paper a complete new production flowline is presented for modelling based on a single image. The modelling process consists of a series of familiar steps in photogrammetry and computer vision: feature extraction, vanishing point computation, camera self-calibration, 3D reconstruction and dimensional analysis. In particular, the methodology developed for single-image-based modelling takes a scientific approach combining several proven techniques with robust estimators. Finally, in order to demonstrate its capabilities, the reported examples include several real situations applied in different contexts. 相似文献
993.
流变学:构造地质学和地球动力学的支柱学科 总被引:12,自引:6,他引:6
地球是一动态系统,其各层圈的构造运动归根到底就是多矿物复合岩石在各种物理条件(例如,温度、围压、差应力、应变速率、应变方式等)下和化学环境(例如,氧逸度和水含量)中的形变。流变学作为研究岩石力学性质和变形行为的科学,现已成为地球动力学和构造地质学的支柱学科。本文对国际上近年来岩石流变学的最新进展做些扼要的介绍,呼吁中国固体地学界加强流变学的研究,做出经得起时间淘洗、实践检验的原创性成果来,使中国的构造地质学研究迈进国际先进的行列。 相似文献
994.
祁阳山字型构造质疑 总被引:5,自引:1,他引:4
结合区域构造演化背景及构造变形特征,对祁阳弧形构造的形成机制进行研究。分析表明,传统山字型构造机制难以解释祁阳弧形构造的诸多特征,且前人认为变形动力来源于东西向挤压应力场,也与印支期区域构造应力场实为NWW向的构造背景不符,因此祁阳弧形构造并不属典型山字型构造。基于研究区构造活动的客观实际,提出祁阳弧形构造的可能形成机制:NW向基底隐伏断裂和NNE-NE向主干断裂分别于印支期和燕山期产生强烈左旋走滑活动,从而使区域NNE向构造线在中段产生左旋偏转成为NNW向,从而形成S形的祁阳弧形构造。这一机制可较好解释祁阳弧形构造的若干特征,如关帝庙穹窿呈NWW走向、北反射弧构造形迹不显著、北弧弧顶脱位及内弧曲率大于外弧、南弧弧顶脱位、紫云-中田-高峰串珠状穹窿的形成等。上述认识对华南地区弧形构造研究具有一定启示意义:除山字型构造作用和砥柱作用外,还应注意断裂走滑等其他构造活动对弧形构造的制约,以及多次构造活动叠加对构造形迹可能造成的影响。 相似文献
995.
面积平衡法与川东大池干推覆带区域滑脱面预测 总被引:3,自引:3,他引:0
本文详细介绍了面积平衡法的原理与方法,并将该方法应用于川东大池干构造的解释。利用面积平衡法,本文预测出在该地区可能有三个较大的区域滑脱面,它们分别位于3.53km处的中三叠统(由石膏、盐岩和泥页岩组成),7.79km处的下寒武统(由页岩、石膏和岩盐层组成),以及8.67km处的下寒武统(由页岩、石膏和岩盐层组成)地层之中。根据以上滑脱面的分析结果,作者认为大池干构造可以解释为滑脱褶皱和断层转折褶皱两种成因模式。在滑脱褶皱模式中,主滑脱面为8.67km处的非能干层;在断层转折褶皱模式中,该地区被认为具有上下两个滑脱面,其上滑脱面为3.53km处的非能干层,而其下滑脱面为7.79km处的非能干层。两种模式所对应的面积深度直线都具有较好的相关性,表明两种构造解释都具有内部岩层一致性,剖面达到平衡,故具有相对的合理性。 相似文献
996.
997.
煤体变形程度控制着煤与瓦斯突出和煤层气的可开发性,煤体结构空间展布预测是人们长期关注的焦点。以岩体力学和分形几何学基本理论为指导,以安阳矿区双全井田为例,通过计算岩体强度因子和分形维数,系统探讨了岩性结构对煤体变形的影响。研究表明,岩体强度因子和分形维数与断层和测井曲线判识的煤体结构之间存在密切关系:低强度因子和分形维数区,煤体易发生韧性变形,软煤发育;高强度因子和分形维数区,煤体(和岩体)以脆性变形为主,以断层发育为特征。这一结论为井田构造发育特征和软煤空间展布所证实。岩体力学和分形几何学的引入,为煤体结构空间展布区域预测提供了一种新途径。 相似文献
998.
A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis 总被引:2,自引:0,他引:2
Yu Liu Qinghua Guo Maggi Kelly 《ISPRS Journal of Photogrammetry and Remote Sensing》2008,63(4):461-475
Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis. 相似文献
999.
1000.