山东昌乐锆石的宝石学特征及化学成分研究

在实地考察和分析前人资料的基础上,简要地介绍了山东昌乐锆石的产出特征。通过常规的宝石学测试方法、X-射线荧光光谱分析和激光剥蚀电感耦合等离子体质谱仪（LA-ICP-MS）对该地区锆石的物理性质、内外部特征及化学成分进行了研究。结果表明,该地区锆石粒度较大,整体透明度较好,颜色呈深浅不一的褐色,以深褐色为主;主要由ZrO2和SiO2组成,微量元素主要有Fe,Ti,P,Sc,Ni等杂质元素,还有部分放射性元素和稀土元素;放射性元素主要为U和Th,Th/U比值均大于0.4（1个数据例外）;稀土元素以富钇族元素为特征,富集HREE,明显的Ce正异常（2～13）,微弱的Eu负异常（0.69～0.76）。另外,昌乐锆石放射性核素的放射性比活度非常低。综合特征表明,昌乐锆石是一种具有利用价值的宝石资源。     

Mineralogy of morphogenetic types of ferromanganese deposits in the world ocean

The mineralogy and structural features of the main types of ferromanganese deposits—nodules, micronodules, Co-bearing crusts, crustlike nodules, and low-temperature hydrothermal manganese crusts and ferruginous ochers—are considered. The correlation between their mineral composition and structure is shown. The proposed classification of mineral types is based on characteristic assemblages of Fe and Mn minerals.     

New data on mineralogy and metallogeny of scarns in the Pitkyaranta ore region

A wide application of modern precision research techniques to the studies of Pitkyaranta ores allowed us to find increased contents of indium (to 0.33%), silver (447 g/t), gold (0.2–0.4 g/t), and palladium (0.2 g/t). A series of rare minerals previously not found here was also discovered. Among ore minerals, these are roquesite, zavartskite, electrum, stutzite, altaite, bismite, glaucodot, cervelleite, hedleyite, pavonite, cannonite, plantnerite, lindkvistite, ashoverite, etc. The discovery of roquesite and electrum is the most important in terms of metallogeny. Roquesite (indium sulfide) is found in Karelia for the first time. The highest indium contents in direct correlation to those of zinc are characteristic for polymetallic ores of the Pitkyaranta ore fields with sphalerite as the concentrating mineral (to 0.5% of In). The predicted zinc resources are evaluated to ∼2.5 million t for the Pitkyaranta group of ore deposits, and to 400 000 t for the Hopunvaara region. Respectively, the resources of indium amount to ∼2400 t (total) and 600 t for the Hopunvaara region.     

Authigenic zeolites in the sedimentary mantle of the world ocean

The paper deals with results of general and systematic analysis of data from deep-sea drilling (360 stations) and a personal study carried out by the authors on the distribution and facies location of authigenic zeolites in the sedimentary mantle of the World Ocean.The scheme of zeolite distribution, compiled for the Holocene—Pleistocene, Miocene, Eocene and Cretaceous periods confirmed the previously established global stratification of zeolites. It showed that the main mass of phillipsite was formed during the Pleistocene—Holocene, while clinoptilolite was a predominant mineral in Eocene and Cretaceous rocks. Both zeolites were wide-spread in the Oligocene and Miocene. Facies location and paragenesis of associated minerals as well as the original material of their formation are different for phillipsite and clinoptilolite.The most probable reasons for vertical stratification of oceanic zeolites of global significance are changes of the character of volcanism in time and general evolution of sedimentation in the World Ocean.     

Geochemical types of Volkhovites and possible diamond resource potential of areas occupied by Holocene fluidisites

Volkhovites—tektite-like glasses—have been detected in the Holocene glacial drift along the right bank of the Volkhov River. A cryptomagmatic model of their formation and pre-Holocene age of volkhovite melts, cinder, and frothed glasses has been suggested (Skublov et al., 2007). Four geochemical types of volkhovites are distinguished: (1) manganous (Mn, Fe, Cr, V, Si, Nb, Pb, H), (2) magnesian (Mg, Al, Ti, F, B), (3) potassic (K, Rb, Cs), and (4) calcic (Ca, REEs, Ba, U, Th, Ta, Hf, Y, Sc, Cl). In light of the geochemical data, volkhovites are regarded as natural silicate glasses of kimberlite-carbonatite composition. Their types are called kimberlitic (Mn type), kimberlitic-carbonatitic (Mg type), lamproitic-carbonatitic (K type), and carbonatitic (Ca type). Volkhovites are suggested to be indicators of undiscovered diamond mineralization of kimberlite or carbonatite (Chagatai) types.     

黔西南水银洞金矿床流体包裹体研究

水银洞金矿床是黔西南典型的特大型卡林型金矿床之一。但其成矿流体来源尚有争议。通过对水银洞金矿床脉石英和方解石中流体包裹体的温度与压力、盐度与密度、包裹体成分和包裹体H和O同位素等方面的研究,指出水银洞卡林型金矿床成矿流体属中低温(96.7~220℃)、低盐度(NaCl)0.635%~9.861%,平均值为4.282%±2.260%、中等密度(0.725~0.977 g/cm3,平均值为0.910±0.061 g/cm3);脉石英阶段流体水化学类型属Cl--Na+型或SO42--Cl-Na+型,方解石阶段属SO42--Cl--Ca2+型。成矿流体压力可能为高-超高压(160±40 MPa);成矿流体主要是大气降水形成的地下热水,可能有部分岩浆热液的掺入。     

Comparative Planetary Space Physics

It has been 60 years since the space physics as new branch of geophysics started to grow in 1957 when the space age was opened by a small satellite called sputnik. The knowledge of Earth and planetary space has been significantly extended and deepened, but the questions we are facing today are more challenging. A consensus reached is that we have to regard the Earth (planet) as an integrated system including all spheres from the inner core to the magnetosphere, and we should try to investigate some questions standing on the ground of interdisciplinary study, especially those questions related to Earth’s (planetary) evolution. Space environment as the outer part of a planetary system, commonly exists in all planets but also exhibits strong diversity. Here, we introduce the short history of basic ideas and methods of comparative study, the advantages on understanding of some issues of global scale, and the prospect from comparative perspective.     

中国近海富烃凹陷油气成藏特征

富烃凹陷是当今油气勘探的主战场,中国近海已发现的油气储量主要集中在14个富烃凹陷中。利用钻井、测井、地震及化验测试等资料,结合最新油气勘探成果,从温压系统、储盖组合、热流体活动及油气输导与聚集等方面分析、总结了中国近海典型已证实富烃凹陷的油气成藏特征。研究表明:中国近海富烃凹陷深层超压普遍发育,地温梯度高,复合型温压系统构成,为油气成藏提供了充足的动力;主力储层物性好,发育1～2套优质的区域性盖层,至少存在2套有利的储盖组合;发育多种类型的烃类包裹体,油气主成藏期集中,并存在快速幕式充注现象;发育高效优势输导体系、多种圈闭与油气藏类型,存在多种油气成藏模式,油气呈带状差异富集与分布。     

基于实践调研的区域地理教学路径探索——以“天兴洲的综合开发方案”项目式学习为例

目前,中学地理实践活动往往局限于校园与课堂之内,可施展的空间和适用的主题都十分有限。在区域地理学习中,学生可进行"知行合一"的机会更加难得。本文以"天兴洲的综合开发方案"为项目主题,在天兴洲野外真实的环境中开展实践调研,拓展学生的活动空间,延展项目式学习的主题范畴,探索基于实践调研开展区域地理教学的有效路径。     

改进Faster R-CNN的遥感图像多尺度飞机目标检测

为了提高遥感图像中多尺度飞机目标的检测精度,本文提出一种基于改进Faster R-CNN的遥感图像飞机目标检测方法。该方法借助多层级融合结构,将深层次的语义特征与浅层次的细节特征相结合,生成多种尺度的既具有精确的位置信息又具有深层次的语义特征的特征图;再借助Faster R-CNN的多尺度RPN (Region Proposal Network)机制,通过对RPN中候选区域尺度的修正,从而提高遥感图像中多尺度飞机目标的定位精度;最后利用Faster R-CNN的分类回归网络,得到飞机目标检测结果。在高分辨率遥感图像中进行了实验,对3种特征提取网络ZF、VGG-16以及ResNet-50进行改进,改进后的精度分别提高了11.34%、9.87%以及1.66%,并且生成的检测框更加贴合飞机目标。实验结果表明,本文方法适用于遥感图像多尺度飞机目标检测,在提高目标定位精度的同时降低了目标漏检现象。