三维地质图制作方法——以1∶50万海南岛地质图为例

将Global Mapper、ArcGIS、MapGIS三款GIS软件有效结合起来,以海南岛为例进行基于DEM的三维晕渲地质图的制作方法研究。首先将SRTM数据和矢量地理数据在不同地图参数下进行自动配准,然后实现地质要素与DEM模型的精准匹配,最后根据DEM对第四系地质界线进行微调,实现了1∶50万海南岛三维地质图的制作。同时总结了不同椭球体与坐标系统下的数据转换、DEM空白区数据填补、晕渲地质图生产的方法。三维地质图制作所采用的DEM数据完全满足1∶50万三维地质图的制图要求;与传统地质图相比,其立体感和可读性明显增强,图件信息量显著增大,图面呈现清晰的三维地质结构,很好地提高了制图精度。该方法为我国三维地质图的制作提供了一个新的方法和思路,并为其他三维图件制作提供了参考借鉴。     

赣南地区石雷石英闪长岩的成因:岩石化学、副矿物微量元素、锆石U-Pb年代学与Sr-Nd-Hf同位素制约

石雷石英闪长岩是赣南崇-余-犹地区比较特殊的闪长质侵入体。锆石的原位U-Pb定年表明,该岩体侵位于433.5±3.4Ma。全岩主量元素特征上显示出中偏酸性(SiO2=56.92%～64.70%),富Al(Al2O3=14.10%～14.83%),富碱(Alk=6.41%～7.40%)特别是富钾(K2O=3.86%～4.85%),镁、铁含量较高,MgO:3.47%～5.95%,FeOT:5.23%～8.14%以及低磷(P2O5=0.27%～0.4%)的特点;微量元素上主要富集K、Rb、Cs等大离子亲石元素和轻稀土元素,亏损Nb、Ta、Ti、P等高场强元素。磷灰石微量元素特征上显示高度富集稀土元素特别是轻稀土元素的特征;具有Eu的负异常(δEu=0.37～0.45)。ISr位于0.7073～0.7132之间,εNd(t)变化于-8.41～-4.97之间,两阶段钕模式年龄介于1.58～1.86Ga之间,Hf同位素组成相对均一,εHf(t)主要集中变化于-8～-2之间,两阶段Hf模式年龄加权平均为1.77±0.09Ga,这些特征都暗示了该石英闪长质岩体的形成是强烈壳幔相互作用的产物,区内加里东晚期可能发生了局部的岩石圈的减薄。     

鲁西地块中生代构造格局及其形成背景

结合近几年来鲁西地区1∶5万区域地质调查等成果,重点论述了鲁西地区中生代构造特征与盆地原型。提出中生代构造层次总体在垂向上可分为三个主要构造层,分别称为上部、中部和下部,并分别被中—下侏罗统、上侏罗统—下白垩统和上白垩统角度不整合覆盖,所以,相应地可将鲁西地块的中生代构造变形分为三个阶段:印支期、燕山中期和燕山晚期;平面上变形样式总体表现为三种构造样式,即:1印支期的近东西走向的宽缓—紧闭褶皱及逆冲构造;2燕山中期的北北东或南北走向的厢状褶皱—坡坪式逆冲系统;3燕山晚期的北东走向的冲断—走滑断裂带。但是,鲁西地区燕山期的构造变形特征和原型盆地有所变化,这种变化是基底构造格局及构造变形在空间上差异叠合的结果。综合研究表明,鲁西地块及邻区燕山期构造是在西太平洋大陆边缘弧的挤压构造背景下,陆内壳下拆沉和壳内挤出—逃逸构造的综合动力作用下形成的。     

福建东山岛矿产资源开发利用与生态环境保护初论

就东山岛在水、砂、石、土的开发利用中存在的问题,阐述了开发利用矿产与保护生态环境之间的辩证关系,提出东山县应做好矿产资源开发利用与“建设港口旅游城市”的规划,走资源节约型的发展海洋经济建设的新路子,促进东山县经济的可持续发展。     

新疆温泉县达巴特铜矿火山机构的厘定及其意义

通过岩石学、岩石化学、微量元素、稀土元素等研究确定了达巴特铜矿与－火山机构密切相关,该火山机构由火山管道相的流纹质熔岩和次花岗斑岩组成,铜矿化主要产于火山管道两侧,并指出应在火山管道南侧下盘寻找隐伏铜矿体。     

盆地模拟技术中的化学动力学生烃模型与应用

油气地表化探数据的失真(特别是数据中的高值失真点)直接影响到化探异常圈定。本文根据油气地表化探数据的分布特点，利用概率统计原理，提出一种适合油气化探资料前期处理的失真数据的概率判定方法和处理手段，在对实际资料的应用中，取得了良好的效果。     

凤凰山花岗岩体构造系统分析及侵位机制

本文从宏观上对凤凰山岩体的区域构造位置、岩体侵位前后的构造演化过程及岩浆侵位时的动力学条件进行了论述;对岩体内部及接触带的面理、线理进行了磁组构测量、显微构造观察、包体应变测量及X光组构分析等系统研究,最终获得如下结论:该岩体侵位除有膨胀作用外,在岩体侵位后期还有过旋转运动,而且岩体侵位受到NNE向左旋剪切作用控制。      

Modelling the time‐dependent behaviour of granular material with hypoplasticity

This paper presents a constitutive model for time‐dependent behaviour of granular material. The model consists of 2 parts representing the inviscid and viscous behaviour of granular materials. The inviscid part is a rate‐independent hypoplastic constitutive model. The viscous part is represented by a rheological model, which contains a high‐order term denoting the strain acceleration. The proposed model is validated by simulating some element tests on granular soils. Our model is able to model not only the non‐isotach behaviour but also the 3 creep stages, namely, primary, secondary, and tertiary creep, in a unified way.     

Elemental characteristics of lacustrine oil shale and its controlling factors of palaeo-sedimentary environment on oil yield: a case from Chang 7 oil layer of Triassic Yanchang Formation in southern Ordos Basin

As an important unconventional resource, oil shale has received widespread attention. The oil shale of the Chang 7 oil layer from Triassic Yanchang Formation in Ordos Basin represents the typical lacustrine oil shale in China. Based on analyzing trace elements and oil yield from boreholes samples, characteristics and paleo-sedimentary environments of oil shale and relationship between paleo-sedimentary environment and oil yield were studied. With favorable quality, oil yield of oil shale varies from 1.4% to 9.1%. Geochemical data indicate that the paleo-redox condition of oil shale’s reducing condition from analyses of V/Cr, V/(V + Ni), U/Th, δU, and authigenic uranium. Equivalent Boron, Sp, and Sr/Ba illustrate that paleosalinity of oil shale is dominated by fresh water. The paleoclimate of oil shale is warm and humid by calculating the chemical index of alteration and Sr/Cu. Fe/Ti and (Fe + Mn)/Ti all explain that there were hot water activities during the sedimentary period of oil shale. In terms of Zr/Rb, paleohydrodynamics of oil shale is weak. By means of Co abundance and U/Th, paleo-water-depth of oil shale is from 17.30 to 157.26 m, reflecting sedimentary environment which is mainly in semi deep–deep lake facies. Correlation analyses between oil yield and six paleoenvironmental factors show that the oil yield of oil shale is mainly controlled by paleo-redox conditions, paleoclimate, hot water activities, and depth of water. Paleosalinity and paleohydrodynamics have an inconspicuous influence on oil yield.