青城子小佟家堡子、林家金矿成矿流体特征及成矿机制

小佟家堡子、林家金矿是青城子铅锌、金、银矿集区的中-大型金矿床,金矿床与沉积-变质期硅化岩关系密切。通过与矿区尖山岩体、新岭岩体中流体包裹体对比研究表明,金矿床与尖山岩体中主要发育水溶液包裹体,极少量的CO2包裹体、含CO2三相包裹体,而新岭岩体除发育以上包裹体外,还发育含子矿物多相包裹体。测温结果显示金矿床成矿流体温度为110～335℃,盐度3．9％～16．2％NaClrq拉曼光谱分析表明金矿床流体成分以H2O为主,少量的CO2、CH4等气体,表明成矿流体属NaCl-H2O体系。金矿床与尖山岩体中流体包裹体温度、盐度及成分相近,推断成矿流体主要来自沉积-变质期。     

Causes of rockfalls in Al-Huwayshah area,Yemen

According to topography of Yemen,most areas and villages are located at obligated crest,toe of mountain and under cliffs.Therefore Al-Huwayshah consisting of Tawilah sandstone group is characterized by steep slope reach to 90° in some areas.This area is affected by strong tectonic movements and faults that occurred during the geological epochs.This effect enhances to find out fractures and joints as well as the rocks become brittle and ready to slide depending on the position of area.And there are some frac...     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.     

Single Zircon LA-ICP-MS U-Pb Dating of the Guandimiao and Wawutang Granitic Plutons in Hunan, South China and Its Petrogenetic Significance

1 Introduction The South China Block (SCB), located between the Qinling-Dabie and Songma Indosinian sutures, experienced successively two important tectonic movements during the Mesozoic, i.e. the Indosinian movement (early Mesozoic) and the Yanshanian movement (late Mesozoic). Therefore, the generally accepted viewpoint is that the key geological problems during the Mesozoic are essentially the dynamics and material expression of these two tectonic movements in South China (Chen et al.…     

Structure Refinement of Cs-rich Na-Li Beryl and Analysis of Its Typomorphic Characteristics of Configurations

1 Introduction Natural beryl is an accessory mineral mainly in pegmatite, partly in some highly diffractionated granite or metamorphic rocks, with the crystal shapes beingprismatic, or occasionally tabular. For tabular beryl found in pegmatite it is believed that the tabular configuration is connected with alkali metals (Bieus, 1960; Wang et al., 1981) and geneses of the tabular configuration have been reported before. In recent years, tabular beryl has been found in the Xuebaoding W-Sn-Be d…     

Chronology and Geochemistry of Volcanic Rocks in the Cretaceous Suifenhe Formation in Eastern Heilongjiang, China

Zircon U-Pb ages and geochemical data of volcanic rocks in the Suifenhe Formation in eastern Heilongjiang Province are reported, and their petrogenesis is discussed in this paper. The Suifenhe Formation mainly consists of basalt, andesite, and dacite. Zircon from andesite and dacite are euhedral in shape and show typical oscillatory zoning with high Th/U ratios (0.18-0.57), implying its magmatic origin. Zircon U-Pb dating results by laser ablation inductively coupled plasma mass spectrometer (LA-ICP-MS) indicate that the 206Pb/238U ages of zircons from andesite range within 105-106 Ma, yielding a weighted mean age of 105.5±0.8 Ma (n=14), and that 206Pb/238U ages of zircons from dacite are between 90-96 Ma, yielding a weighted mean age of 93.2±1.3 Ma (n =13). The volcanic rocks from the Suifenhe Formation are subalkaline series and show a calc-alkaline evolutionary trend with SiO2 content of 47.69%-65.47%, MgO contents of 1.42%-6.80% (Mg#= 45-53), and Na2O/K2O ratios of 1.83-3.63. They are characterized by enrichment in large ion lithophile elements (LILE) and light-rare-earth elements (LREE), depletion in heavy rare earth elements (HREE) and high field strength elements (HFSE) (e.g., Nb, Ta, Ti), and low initial 87Sr/86Sr ratios (0.7041-0.7057) and positiveεNd(t) values (039-4.08), implying that they could be derived from a depleted magma source. Taken together, these results suggest that the primary magma of the volcanic rocks might originate from partial melting of the mantle wedge metasomatized by fluids derived from subducted slab under a tectonic setting of active continental margin.     

上海地区深部构造特征和地震活动趋势探讨

本文介绍由重磁资料计算上海地区居里面、莫霍面、均衡重力异常及地幔流应力场的方法和成果,并在对成果初步分析的基础上,探讨了深部地质构造特征及其与地震活动趋势的关系,其中着重讨论了居里面及其与地震活动的关系。文章最后提出了对上海地区地震活动趋势的几点认识。     

中国主要含镍岩体特征及其成因

中国目前已发现7条岩带中18个岩体赋存有工业铜镍矿床。这些含镍岩体的岩石组合有三大类,其中以超基性岩中矿床居多,苏长岩与科马提岩中较少。中国含镍岩浆系列属于科马提岩系列而非拉斑玄武岩系列,含矿岩浆来自上地幔的部分熔融,源区具有U、Th值高而Cr低的特点,深大断裂发育的大陆边缘是镍矿床发育最理想的场所。     

库米什盆地的硝酸盐型钾盐矿床

库米什盆地的硝酸盐型钾盐矿床,是利用~(40)K具有放射性特点,通过航空、地面伽玛能谱测量发现的。本文介绍了具有代表性C矿床的一般地质特征,总结了乌尊布拉克硝酸盐型钾盐矿床地质特征。矿床按其赋存状态可分为固体矿和卤水矿两类。水硝碱镁矾为最主要的工业矿物,共生矿物有钾硝石、钠硝石、杂卤石、芒硝、钠镁矾、石膏、石盐、极少量的泻利盐等。     

Geological - Geophysical - Geochemical Exploration Models of Copper - Iron Deposits in Southeastern Hubei

This paper discusses geological-geophysical-geochemical models of such typical deposits as the Tieshan-type Fe-Cu deposit, the Tonglushan-type Cu-Fe deposit, the Yehuaxiang-type Cu deposit, the Jiguanzui-type Cu-Au deposit, and the Tongshankou-type Cu (Mo) deposit. The models were established based on practical data of the polymetallic deposits dominated by copper ore in southeastern Hubei. These models, which are graphically illustrated in the paper, systematically summarize the metallogenic geological conditions and the geophysical-geochemical characteristics of copper deposits in this area. The models are of practical significance for studying copper deposits, predicting mineral resources, choosing exploration methods, and searching for ore deposits based on existing ones in the study area.