古鄱阳湖盆地东北缘白晋纪地层的新材料—兼论陆相地层清理后的问题讨论

古鄱阳湖盆地东北缘白垩系的田坂群历来趋向“二分”，但从对剖在再观察入手，认为田坂群纵向上经历了粗→细→粗的巨旋回，这种巨旋回与盆地演化规律，发展阶段相一致，因而“三分”显著，该剖面地学，9沉积学的一些新发现，不仅便于地层划分与对比，而且对盆内层序地层，岩相分析，构造演化阶段研究都具重要意义。     

新矿物(19931～199312)

本文以表格形式列举了１９９３年１月至１９９３年１２月经《国际矿物学协会（ＩＭＡ）新矿物与矿物命名委员会（ＣＮＭＭＮ）》批准并在各国矿物学杂志上发表的４２个新矿物的中文英文名称、化学式及其他数据。数据依次为：矿物的晶系、空间群、晶胞参数、主要粉晶数据（Ｉ、ｈｋｌ）、物理性质（晶形、颜色、条痕、光泽、解理、发光、硬度、密度等）、光学性质（一、二轴晶,正、负光性,折光率,反射率,双反射,２Ｖ,色散,吸收性,多色性等）、产状、共生矿物等。     

Introducing a new conceptual instantaneous unit hydrograph model based on a hydraulic approach

ABSTRACT

A novel approach is introduced for simulation of instantaneous unit hydrographs (IUHs). The model consists of a series of linear reservoirs that are connected to each other, and is referred to as the inter-connected linear reservoir model (ICLRM). By assuming the flow between two reservoirs is a linear function of the difference between the water levels in the reservoirs, a system of first-order linear differential equations is obtained as the ICLRM governing equation. By solving the equations, the discharge from the last reservoir is considered as an IUH. A small-scale laboratory device was constructed for the simulation of IUHs using the model. By studying four hydrographs extracted from the literature, and simulating them using both the ICLRM and the Nash model, it is concluded that the ICLRM can predict these hydrographs more accurately than the Nash model. Due to the simplicity of the construction and operation of the ICLRM and, more importantly, its visual aspect, the ICLRM may be considered as an effective educational tool for studying IUHs.     

半叶马尾藻多糖对辐射损伤小鼠骨髓细胞集落生成的影响

探讨半叶马尾藻多糖[Sargassum hemiphyllum(Turner)C．Ag．polysaccharides,SHP]对辐射损伤小鼠骨髓细胞集落生成的影响。检测辐射损伤小鼠脾集落生成单位、红细胞集落生成单位、爆裂型红细胞集落生成单位、粒细胞．巨噬细胞集落生成单位、巨核细胞集落生成单位、混合集落生成单位的变化。5Gy7射线照射后小鼠CFU-S,CFU—E,BFU—E和CFU—Mix明显减少,而SHP(20mg／kg-40mg／kg)可以抑制CFU—S,CFU—E,BFU—E和CFU—Mix下降。辐射损伤也可以引起小鼠CFU-GM显著降低,但是,SHP(10mg／kg-40mg／kg)具有拮抗辐射损伤的作用,使CFU-GM增加。单纯照射组小鼠CFU—Meg显著低于正常对照组,SHP(40mg／kg)加照射组小鼠CFU-Meg却显著高于单纯照射组。SHP对辐射损伤小鼠多能干细胞和造血祖细胞具有保护作用。     

电线积冰物理过程与数值模拟研究进展

电线积冰对人们的日常生活、电力系统、通信系统等造成了巨大的影响,人们越来越关注电线积冰的形成条件及物理过程,包括气象条件、气流动力学、液滴运动轨迹以及热力学过程。通过外场观测、室内实验和数值模拟研究的不断开展,揭示出电线积冰质量增长过程决定于云降水粒子谱分布、碰撞效率、黏性率、冻结率、碰撞速度和角度等微物理参数,这些参数又受控于降水率、云雾含水量、温度、湿度、风向、风速等宏观气象条件。通过数值模式已可进行电线积冰量和积冰持续时间的定量研究和预测,进而在开发垂冰模式和形态模式等方面也取得了新的进展。在总结过去60多年来电线积冰物理机制和数值模拟研究主要成果的基础上,对开展进一步的深入研究进行了展望。     

青藏高原片麻岩穹窿与找矿前景

片麻岩穹窿是研究俯冲-折返和碰撞-折返造山过程的重要窗口。已查明的大量青藏高原片麻岩穹窿(群)分布在古特提斯和新特提斯大洋俯冲-折返以及地体碰撞-折返过程中。松潘-甘孜造山带中雅江甲基卡片(麻)岩穹窿的三叠纪变质片岩的含矿伟晶岩脉中发现了超大型锂矿床,揭示片(麻)岩穹窿构造与同构造花岗岩、含矿伟晶岩脉以及大型印支滑脱带在时空和成因上有天然联系,为片麻岩穹窿的找矿前景提供了范例。     

Zircon U–Pb ages and Hf isotope compositions of migmatites from the North Qinling terrane and their geological implications

Migmatites are predominant in the North Qinling (NQ) orogen, but their formation ages are poorly constrained. This paper presents a combined study of cathodoluminescence imaging, U–Pb age, trace element and Hf isotopes of zircon in migmatites from the NQ unit. In the migmatites, most zircon grains occur as new, homogeneous crystals, while some are present as overgrowth rims around inherited cores. Morphological and trace element features suggest that the zircon crystals are metamorphic and formed during partial melting. The inherited cores have oscillatory zoning and yield U–Pb ages of c. 900 Ma, representing their protolith ages. The early Neoproterozoic protoliths probably formed in an active continental margin, being a response to the assembly of the supercontinent Rodinia. The migmatite zircon yields Hf model ages of 1911 ± 20 to 990 ± 22 Ma, indicating that the protoliths were derived from reworking of Palaeoproterozoic to Neoproterozoic crustal materials. The anatexis zircon yields formation ages ranging from 455 ± 5 to 420 ± 4 Ma, with a peak at c. 435 Ma. Combined with previous results, we suggest that the migmatization of the NQ terrane occurred at c. 455–400 Ma. The migmatization was c. 50 Ma later than the c. 490 Ma ultra‐high‐P (UHP) metamorphism, indicating that they occurred in two independent tectonic events. By contrast, the migmatization was coeval with the granulite facies metamorphism and the granitic magmatism in the NQ unit, which collectively argue for their formation due to the northward subduction of the Shangdan Ocean. UHP rocks were distributed mainly along the northern margin and occasionally in the inner part of the NQ unit, indicating that they were exhumed along the northern edge and detached from the basement by the subsequent migmatization process.     

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability.To explore the applicability and advantages of recurrent neural networks(RNNs)on PWP prediction,three variants of RNNs,i.e.,standard RNN,long short-term memory(LSTM)and gated recurrent unit(GRU)are adopted and compared with a traditional static artificial neural network(ANN),i.e.,multi-layer perceptron(MLP).Measurements of rainfall and PWP of representative piezometers from a fully instrumented natural slope in Hong Kong are used to establish the prediction models.The coefficient of determination(R^2)and root mean square error(RMSE)are used for model evaluations.The influence of input time series length on the model performance is investigated.The results reveal that MLP can provide acceptable performance but is not robust.The uncertainty bounds of RMSE of the MLP model range from 0.24 kPa to 1.12 k Pa for the selected two piezometers.The standard RNN can perform better but the robustness is slightly affected when there are significant time lags between PWP changes and rainfall.The GRU and LSTM models can provide more precise and robust predictions than the standard RNN.The effects of the hidden layer structure and the dropout technique are investigated.The single-layer GRU is accurate enough for PWP prediction,whereas a double-layer GRU brings extra time cost with little accuracy improvement.The dropout technique is essential to overfitting prevention and improvement of accuracy.     

一种基于机器学习算法的岩性填图方法

通过野外地质调查与机器学习方法的有机融合,提出了一种基于梯度提升决策树算法的岩性单元填图方法.研究以多龙矿集区为模型试验区,选择1:5万勘查地球化学数据为基础预测数据,以1:5万区域地质图为参考,进行基于梯度提升决策树算法的岩性预测填图模型试验.首先选择研究区内小范围空白区开展野外填图,建立原始数据集并初步构建岩性单元...     

聚煤盆地富煤规律研究综述及展望

聚煤盆地富煤规律是煤地质学研究之焦点。富煤规律研究的突出进展主要包括聚煤模式、富煤带和富煤单元以及现代泥炭比较沉积学研究。尤其是近年来富煤单元和现代泥炭比较沉积学研究更清楚地揭示煤赋存规律与成因煤相和工艺煤相之间的内在联系,从而为聚煤盆地优质煤的预测提供有效的方法。