地震资料预测薄层厚度方法研究与应用

薄层厚度预测一直是公认的难题之一,其难度就在于如何准确地识别和提取薄层的地震属性.常规方法是利用时间域或频率域地震属性与薄层厚度的线性关系计算.但是理论与实际资料表明,不同的薄层和地层组合对地震波的动力学的信息影响很大,各种参数与薄层厚度成非线性关系,使用单一的信息不可能准确预测薄层厚度.本文利用三种线性预测原理（模型）,经数学变换为属性参数,采用非线性BP网络预测薄层厚度,取得了令人满意的效果.     

青藏高原新生代形成演化的整合模型——来自火成岩的约束

深部过程是青藏高原演化的主导因素,其他地质过程都可以看作是对深部过程的响应。因此,一个构造旋回(阶段)的地球动力学事件链可以概括为深部地质过程—幔源岩浆活动—壳源岩浆活动—陆壳增厚—地表隆升—表层剥蚀与沉积,其中幔源岩浆活动的研究成为追索青藏高原演化历史的关键环节。据此,青藏高原演化的关键性时间坐标为80、45、27、17、9和4Ma。青藏高原新生代火成岩具有三种展布形式:与雅鲁藏布缝合带平行的岩浆带、沿深大断裂展布的岩浆带和藏北离散性岩浆分布区,它们分别受控于大陆碰撞、大规模走滑和岩石圈拆沉构造体制,且都受控于印度—亚洲软流圈汇聚过程。据此,文中提出了一个描述青藏高原演化的整合模型:南北向地幔对流汇聚控制了岩石圈块体的相对运动,并最终导致印度—亚洲大陆的碰撞和沿碰撞带的大规模岩浆活动;碰撞之初(白垩纪末期),大陆岩石圈块体的刚性属性有利于应力的远程传递和块体旋转,沿块体边界分布的大型走滑断裂控制了岩浆活动的发生;随着挤压过程的持续进行,岩石圈块体的受热和变形,高原岩石圈的重力不稳定性增加,最终导致拆沉作用和软流圈物质的大规模上涌以及藏北高原的离散性岩浆活动。在高原演化中,岩石圈拆沉作用具有重要意义,许多地质事件的发生都与此有关。同时,软流圈的汇聚还导致软流圈物质的向东挤出,并因此造成青藏高原岩石圈的向东挤出和晚新生代的伸展构造。     

基于大数据的生活圈范围与服务设施空间匹配研究——以北京为例

生活圈建设是新时代国土空间规划的关键内容之一,生活圈内服务设施配置是做好生活圈规划的首要基础,居民生活圈与服务设施的空间匹配关系也是地理学“人地关系”在城市社区尺度的重要体现.学术界对生活圈与服务设施的匹配关系已有研究,但主要采用问卷调查数据,该类数据存在样本量少、地域覆盖范围小等不足.论文将采用手机信令数据和POI(...     

四川会理大岩子铂钯矿的地质地球化学特征及找矿前景浅析

四川会理县大岩子铂钯矿床是目前国内品位最高的独立铂族元素矿床之一,也是一个独特的热液成因矿床。矿区及区域上的镁铁质岩浆岩可能是铂族元素的初始来源,震旦系白云岩是其有利的容矿围岩,构造控制下的热液活动促使了铂族元素的迁移富集。地表氧化带蓝铜矿化白云岩矿石的PGE含量最高可达27.13×10-6,坑道中相对新鲜橄辉岩的PGE含量为1.068×10-6,强烈蚀变橄辉岩含PGE0.528×10-6,地表蚀变后橄辉岩的PGE含量为0.435×10-6,表明铂族元素可能发生了活化转移。整个攀西地区基性超基性岩发育,后期构造活动强烈,有利的围岩广泛分布,因而具备形成热液型铂族元素矿床的条件,找矿前景看好。     

同源岩浆成因金矿成岩成矿时差的统计研究

同源岩浆成因金矿的成岩成矿时差是确定矿床与岩浆岩成因关系的重要基础。而中国同源岩浆成因金矿分布十分广泛,前人在成矿学和岩石学方面做了大量的研究,为此本文收集了国内一些典型金矿的成矿和相关同源岩浆岩的同位素测年数据,讨论并定量厘定了该类金矿床成岩成矿时差的分布特征及分布范围。数据统计分析及柯尔莫哥洛夫准则检验结果显示,成矿事件一般同步或略滞后于同源岩浆活动,成岩成矿时差在95％信度下服从正态分布,介于0～16．0Ma,均值约为7．0Ma。因此,若金矿成岩成矿存在着≤16．0Ma的时差,就应该重视二者之间的同源成因联系。同时,笔者也强调：准确的成岩成矿时差应加强对金矿成岩成矿地质背景的研究;重视时差研究与微量元素和同位素示踪相结合,从年代学和地球化学方面对矿床成因作出合理的解释。     

Report on 34 Ga SHRIMP Zircon Age from the Yuntaishan Geopark in Jiaozuo, Henan Province

1 Introduction According to recent researches, the North China Craton consists of three parts: the eastern block, western block and central zone (Zhao, 2001; Wilde et al., 2002). Paleoarchean continental blocks and zircon residuals have only been found in a few regions, such as Anshan, East Liaoning (Liu et al., 1992; Song et al., 1996; Wan et al., 2002, 2005), Caozhuang, East Hebei (Liu et al., 1992) and Xinyang, West Henan (Zheng et al., 2004), which are mainly distributed in the east…     

Discovery of Paleogene Sporopollen from the Matrix Strata of the Naij Tal Group-Complex in the Eastern Kunlun Orogenic Belt

The Naij Tal Group-complex is a suite of tectonic-sedimentary melange aggregation of the Eastern Kunlun orogenic belt, which is composed of two parts, i.e. the exotic blocks of various ages and the matrix strata. On the basis of coral, brachiopod and gastropod fossils found in the exotic blocks, the age of this group-complex was once defined to the Late Ordovician or the Paleozoic. This paper reports for the first time 44 genera and 31 species of Mid-Late Oligocene sporopollen in samples from the matrix strata in this group-complex and the Paleogene Quercoidites-Persicarioipollis assemblage is named. The paper aims to provide some detailed evidence for determining the age of the matrix strata in this group-complex based upon a study at the Caiyuanzigou section, which would be of great geological significance for further understanding this group-complex as a suite of tectonic-sedimentary melange aggregation. The new finding will certainly benefit from now on the investigation of formation and evolution mechanism for the Eastern Kunlun orogenic belt.     

The Gaojiacun Mafic-Ultramafic Complex （Sichuan, SW China）：Neoproterozoic Magmatic Activity at the Western Margin of the Yangtze Craton

1 Introduction The Gaojiacun intrusive complex is one of the numerous ultramafic-mafic intrusions in Sichuan Province of China. It was mapped during the 1970s and studied mainly by Chinese scientists (e.g. Geological Team 106, 1975; Shen et al., 1986, 1989; CGGJC, 1986; Yang et al., 1993; Li et al., 1995; Shen et al., 2003; Zhu et al., 2004a). Since the year 2000, China has become one of the largest PGE consumers. While the country can produce only less than 1 ton PGE/year, the Chin…     

The Basic Shape Classification of Space Debris with Light Curves

We study the machine learning method for classifying the basic shape of space debris in both simulated and observed data experiments, where light curves are used as the input features. In the dataset for training and testing, simulated light curves are derived from four types of debris within different shapes and materials. Observed light curves are extracted from Mini-Mega TORTORA (MMT) database which is a publicly accessible source of space object photometric records. The experiments employ the deep convolutional neural network, make comparisons with other machine learning algorithms, and the results show CNN (Convolutional Neural Network) is better. In simulational experiments, both types of cylinder can be distinguished perfectly, and two other types of satellite have around 90% probability to be classified. Rockets and defunct satellites can achieve 99% success rate in binary classification, but in further sub-classes classifications, the rate becomes relatively lower.     

二维复杂介质中地震波走时和射线的计算方法及其应用

将Podvin和Lecomte的精确局部格点走时计算方法和Schneider等人的动态规划方法结合起来,可得到一种快速、有效的有限差分波前计算方法。使用该方法对各种类型地震波的走时和射线的计算进行了讨论,并给出了这种有限差分走时计算在叠前深度偏移中的应用实例。