安徽省休宁县清坑钼钨多金属矿床地质特征及成因探讨

休宁县清坑钼钨多金属矿床,位于江南地块中的江南古隆起带内部的白际岭岛弧带,五里亭—长陔NEE向构造岩浆带南侧。矿区绢云母石英片岩,总体走向北东,倾向南东,NE向断裂规模较大,具逆冲和斜向逆冲特点。成矿母岩为晚侏罗纪世黑云母二长花岗岩,同熔型。燕山时期,江南陆内造山带形成于壳―幔相互作用等深部过程,随着祁门深大断裂伸展、冲断等转变,岩石圈减薄发生减压熔融,基性岩浆底侵在壳幔边界并使下地壳局部熔融产生中酸性岩浆。岩浆演化分异,钼在岩浆热液中富集,最终演化为含矿热液。随着应力转变,矿质析出,沉淀成矿。     

云南建水腊里河超基性岩地质特征及其构造意义

川滇黔等地在二叠世晚期发生峨眉山玄武岩短期内大规模溢流喷发。滇西地区发育的镁铁—超镁铁质岩均被认为是峨眉山大火成岩省的产物,但在滇东地区却一直缺少该类岩石组合的报道。本文在滇东建水地区首次发现了腊里河超基性岩体,通过LA-ICP-MS锆石UPb定年分析表明该超基性岩先期形成年龄为(246±5.2)Ma,为晚二叠-早三叠世的产物,后期中侏罗世晚期(169.6±2.0)Ma(MSWD=3.5)发生岩浆活化。该超基性岩Mg#值平均为78.73,稀土元素表现出略微右倾的平坦型特征,Rb、Sr、Ba、Pb等大离子亲石元素相对富集,高场强元素Zr、Hf相对亏损,Ta异常富集。其地化特征表现出富集型地幔源区特征,与峨眉山玄武岩成因关系密切。晚二叠世建水地区由于地幔柱活动形成地表溢流玄武岩,在深部岩浆房由玄武质岩浆结晶分异作用形成超基性侵入岩,到中侏罗世晚期,伴随着华南地区发生多期次构造运动,先前存在于岩浆房中的超镁铁质岩经过后期热液改造活化,沿着断层裂隙侵入地表。     

云南建水煌斑岩年代学和地球化学及其构造意义

华南大陆内部燕山期的岩浆事件可分为2期:燕山早期180~150 Ma,燕山晚期140~80 Ma。而处于扬子板块西南缘的滇黔贵等地,仅见有第二期晚白垩世中酸性侵入岩与相关成矿作用,缺乏第一期岩浆活动的时间记录。本文在滇东建水地区首次发现了麦地村煌斑岩,对其进行高精度LA-ICP-MS锆石U-Pb定年和主微量元素测试分析。结果显示煌斑岩的锆石U-Pb年龄为(158.4±2.4)Ma(MSWD=4.2),为晚侏罗世的产物,补充了该区较为空白的第一期岩浆热事件。麦地村煌斑岩不相容元素明显高于原始地幔,表现出不同程度的富集,大离子亲石元素Rb、Ba、Ce等富集程度不明显,高场强元素中U、Ta、Pb等表现出一定程度富集,LREE相对富集,HREE相对亏损,不具有Nb-Ta-Ti负异常的俯冲型配分曲线特征,具有明显的OIB型洋岛玄武岩稀土元素配分特征,为板内伸展环境下的产物。滇东地区发育中生代时期的NNE构造,早期NNE向褶皱叠加有后期同方向正断层。早期褶皱表现为SEE-NWW挤压应力作用下的构造特征,后期断层表现出同方向张应力作用下的特征。煌斑岩正是由于该区发生挤压之后伴随着一期应力松弛调整,伸展减压作用诱发地幔物质部分融熔,来自于深处的软流圈地幔流体与岩石圈地幔发生交代作用,形成富集型地幔,交代富集的岩石圈地幔局部受热、部分熔融,发生上升侵位。煌斑岩的侵位时间即是滇东地区中生代从挤压向伸展转换的起始时间。     

冰层取心回转钻进模拟实验台的设计与测试

极地钻探实践表明,冰盖底部冰岩交界附近地质情况异常复杂,不但可能存在暖冰、基底融水,甚至还存在厚度不等的冰岩夹层,取心钻探异常困难,而优选钻头类型、确定合理的钻进参数是保证其安全、快速钻进的重要因素。本文设计了一套能够模拟冰层回转钻进的实验台,其技术参数为：钻压、转速分别可在0～10 kN、0～300 r/min范围内调节,最大扭矩约100 N·m。该实验台能够测量钻头切削具温度、钻孔深度及钻进速度等参数,为深入研究钻头类型及结构参数、钻进参数对扭矩、钻速和切削温度的影响规律提供了手段。采用PDC复合片钻头进行了冰钻实验,结果表明,实验台能够准确调节钻压和转速,可满足实验要求。     

景洪市嘎栋地热井特征及成井工艺总结分析

景洪盆地内蕴藏有丰富的地热资源。通过对景洪市嘎栋地热资源勘查地热井地质、施工情况及成果进行介绍,结合勘查施工实践,针对地热资源勘查开发、地热钻井施工、成井工艺及钻井过程中地质问题等有关内容进行经验总结并分析,对地热地质条件与地热井施工之间结合进行一些经验探讨,并对现行地热井规范中关于井身结构设计、取水层位确定、单井资源量计算等问题提出一定疑问。旨在通过实践及疑问探讨,力图找出为地热资源勘查开发提供值得借鉴的经验和教训。     

强潮流作用下桥墩不对称“双肾型”冲刷地貌特征与机理

本文在海图地形资料分析桥轴线附近的海床自然冲刷的基础上,利用多波束测深技术研究大桥主墩附近局部冲刷地形。结果表明,该大桥桥位附近地形冲刷较显著,且大桥主墩位置有持续冲刷的趋势;主墩上、下游群桩最大冲刷深度呈上游最深、中部淤积、下游渐深的不对称形态,最大局部冲刷深度为4 m;桥墩整体冲刷坑形态呈南北“双肾型”;潮流流向与桥墩迎流面存在偏南的入射角,使得各桥墩南侧的最大冲深和冲刷范围均大于北侧。     

日本囊对虾Marsupenaeus japonicus)组织蛋白酶D基因克隆及表达分析

组织蛋白酶D是溶酶体天冬氨酸蛋白酶家族的主要成员,广泛参与动物机体细胞内蛋白质的降解过程,对维持细胞稳态和正常代谢具有重要的作用。为研究组织蛋白酶D在甲壳动物非特异性免疫和幼体发育过程中的作用,本研究采用RACE技术首次克隆得到日本囊对虾组织蛋白酶D基因cDNA序列,命名为MjCatD,其中开放阅读框长为1161 bp,编码386个氨基酸残基。序列分析和同源建模显示该基因编码的蛋白含有保守的N-糖基化位点、天冬氨酸蛋白酶签名序列、酶活化位点和非消化性组织蛋白酶D的特征序列,并且呈保守的双叶形结构。同源性比较和系统进化分析发现,MjCatD与斑节对虾、美洲螯龙虾和脊尾白虾相似性较高,并且与它们紧密聚为一支。实时荧光定量PCR结果显示,MjCatD基因在日本囊对虾多个组织中均有表达,其中肝胰腺中表达量最高。在白斑综合征病毒(white spot syndrome virus, WSSV)感染后3～24 h日本囊对虾肝胰腺中MjCatD的表达量逐渐下降,而在48 h急剧上调至最高表达量并且与对照组差异极显著(P<0.01)。此外,MjCatD基因在幼体发育不同阶段中也表现出明显的变化趋势。以上研究表明,MjCatD基因可能参与日本囊对虾先天免疫反应和幼体发育过程。     

Paratacamite from Gypsum Veins in Sandstones of the Kuqa Basin,Xinjiang, China: Implications for a New Epigenetic Cu Enrichment Mechanism

The Kuqa Basin filled with Paleogene evaporite series is located in the northeast of the Tarim Basin, Xinjiang, China. It is famous for sandstone‐hosted Cu deposits formed by synsedimentary processes. However, our recent studies reveal that there has been another Cu mineralization mechanism in this basin. Field investigations show that there is a close relationship among faults, salt domes, and brine. Cu deposits are mainly located in two east–west‐trending anticlinal belts in the basin, adjacent to salt domes in the belts. Cu minerals in gypsum veins of the Jidike and Kangcun formations have been investigated by SEM, EDS, and X‐ray diffraction methods. The occurrence of paratacamite in gypsum veins has been reported to coexist with glauberite and halite in the joint planes of sandstones. In addition, it occurs accompanying residual crystal salt encrustation in limestone fractures, or in sandstones in dendritic form. These features indicate that the surface‐Cu enrichment in the Kuqa Basin might have originated from Cu‐bearing brine in the underlying evaporite units, which migrated upward along fractures. In addition, the presence of H₂S in the east–west fault belt in the Kuqa Basin, and the discovery of surface sulfur, calcium carbonate, and covellite, suggest thermochemical sulfate reduction near salt domes in the deeper parts of the rock units. This process resulted in the generation of reduced brine and provided a favorable environment for Cu enrichment. Therefore, the surface‐Cu mineralization near salt domes is interpreted to be the result of Cu‐bearing brine migrating upward to the surface along faults (or joints) following the intrusion of deep salt domes. The geological evidence indicates the presence of reducing brine and Cu‐bearing brine near the salt dome in the deeper rocks of the Kuqa Basin, thus making the intrusive contact zone of the salt dome a favorable site for the epigenetic enrichment of Cu. Our study demonstrates that Cu enrichment in the Kuqa Basin resulted not only from synsedimentary deposition but also through epigenetic enrichment associated with salt dome intrusion and brine‐rich fluids.     

Analysis of the contribution of multiple factors to the recent decrease in discharge and sediment yield in the Yellow River Basin,China

The Yellow River basin is well known for its high sediment yield. However, this sediment yield has clearly decreased since the 1980s, especially after the year 2000. The annual average sediment yield was 1.2 billion tons before 2000, but has significantly decreased to 0.3 billion tons over the last 10 years. Changes in discharge and sediment yield for the Yellow River have attracted the attention of both the Central Government and local communities. This study aimed to identify the individual contributions of changes in precipitation and human activities (e.g. water conservancy projects, terracing, silt dams, socio-economic and needs, and soil and water conservation measures) to the decrease in discharge and sediment yield of the Yellow River. The study used both improved the hydrological method and the soil and water conservation method. The study focused on discharge analysis for the upper reaches and the investigation of sediments for the middle reaches of the river. The results showed that discharge and sediment yield have both presented significant decreasing trends over the past 50 years. Precipitation showed an insignificant decreasing trend over the same period. The annual average discharge decreased by 5.68 billion m³ above Lanzhou reach of the Yellow River from 2000 to 2012; human activities (e.g. socio-economic water use) contributed 43.4% of the total reduction, whereas natural factors (e.g. evaporation from lakes, wetlands and reservoirs) accounted for 56.6%. The decrease in annual discharge and sediment yield of the section between Hekouzhen station and Tongguan station were 12.4 billion m³ and 1.24 billion tons, respectively. Human activities contributed 76.5% and 72.2% of the total reduction in discharge and sediment yield, respectively, and were therefore the dominant factors in the changes in discharge and sediment yield of the Yellow River.     

Bias estimation and correction for triangle-based surface area calculations

The calculation of surface area is meaningful for a variety of space-filling phenomena, e.g., the packing of plants or animals within an area of land. With Digital Elevation Model (DEM) data we can calculate the surface area by using a continuous surface model, such as by the Triangulated Irregular Network (TIN). However, just as the triangle-based surface area discussed in this paper, the surface area is generally biased because it is a nonlinear mapping about the DEM data which contain measurement errors. To reduce the bias in the surface area, we propose a second-order bias correction by applying nonlinear error propagation to the triangle-based surface area. This process reveals that the random errors in the DEM data result in a bias in the triangle-based surface area while the systematic errors in the DEM data can be reduced by using the height differences. The bias is theoretically given by a probability integral which can be approximated by numerical approaches including the numerical integral and the Monte Carlo method; but these approaches need a theoretical distribution assumption about the DEM measurement errors, and have a very high computational cost. In most cases, we only have variance information on the measurement errors; thus, a bias estimation based on nonlinear error propagation is proposed. Based on the second-order bias estimation proposed, the variance of the surface area can be improved immediately by removing the bias from the original variance estimation. The main results are verified by the Monte Carlo method and by the numerical integral. They show that an unbiased surface area can be obtained by removing the proposed bias estimation from the triangle-based surface area originally calculated from the DEM data.