华北地块东部晚中生代至新生代岩石圈不均一减薄与改造模式

本文综合运用不同时代幔源包体平衡温压对比、玄武岩地球化学性质对岩石圈厚度的反演以及不同时代岩石圈地幔地球化学性质的对比的方法，把华北地块东部岩石圈的减薄时间限定在晚中生代至新生代之间。减薄的机制可能是华北东部地区晚白垩世以来大陆岩石圈的拉张作用。由于机械性拉薄和热、机械和化学侵蚀作用，岩石圈厚度最终减薄到70km以下。但古老的岩石圈地幔并没有完全因减薄而消失，残留部分受到了来自软流圈物质的强烈改造，使其Sr、Nd同位素组成类似于软流圈，但Os同位素没有受到明显的改变。改造后的岩石圈地幔成为华北地块东部新生代岩石圈地幔的主体。在时空上，岩石圈的减薄具有不均一的性质。     

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…     

新疆萨吾尔地区两类花岗岩Nd、Sr、Pb、O同位素特征

新疆西准噶尔萨吾尔地区森塔斯岩体和沃肯萨拉岩体为I型花岗岩,侵入于早石炭世末,具有偏碱性特点,形成于后碰撞阶段的伸展期或挤压—伸展转变期;阔依塔斯岩体和恰其海岩体为A2型花岗岩,侵入于早二叠世初,形成于后碰撞阶段伸展期张性构造环境中。I型花岗岩和A型花岗岩的Nd、Sr、Pb同位素特征相似,显示出幔源特征,它们是同源岩浆不同演化阶段的产物。两类花岗岩在O同位素以及稀土元素特征上存在明显差异。西准噶尔萨吾尔地区I型花岗岩(森塔斯岩体和沃肯萨拉岩体)以及A型花岗岩(阔依塔斯岩体和恰其海岩体)的发育,进一步证实了晚古生代区内地壳的垂向增生作用。对比研究表明,可以将西准噶尔萨吾尔地区的A型花岗岩归入东准噶尔乌伦古富碱火成岩带。     

塔里木北部周缘前陆盆地早二叠世快速迁移与沉积相突变:俯冲板片拆沉的响应

塔里木北部周缘前陆盆地发育于泥盆纪末至早三叠世期间,完整地记录了南天山造山带的发育过程。该盆地在早二叠世由复理石盆地转化为磨拉石盆地,同时发生快速南移。同期幔源物质加入,有山根地壳熔融的岩浆活动、南天山造山带的整体隆升、热液成矿作用集中发育和变形、变质作用的激化使俯冲岩片的拆沉成为盆地转化与迁移的最佳机制。相同的转化过程及深部机制在其他造山带中也明显存在,表明俯冲岩片拆沉是造山作用一个不可或缺的环节。     

西藏普兰石英岩中发现41亿年碎屑锆石

在西藏普兰县石英岩中,利用SHRIMPU-Pb法测年发现4.1Ga碎屑锆石。该年龄为目前中国最老单颗粒碎屑年龄。>4.0Ga锆石两测点的Th/U值介于0.76~0.86之间,属岩浆锆石。这一发现,为研究青藏高原的地质演化提供了重要的年龄数据。     

Chemical Composition of Ancient Celadon Material （1127-1279 A.D.） from Zhejiang, China and Its Implication

The microprobe EDXRF equipment was used for analysis of the major and trace elements in glaze layer-transitive layer-body layer of the celadon from the Altar Yao （Kiln） and Laohudong Yao in the Southern Song Dynasty （1127-1279 A.D.）, Zhejiang, China. The K values of the discriminant factor for the celadon wares are larger than 8, which means the celadon of the Altar Yao and Laohudong Yao are different from that of the Longquan Yao. The former two belong to the Guan Yao system （the Chinese imperial kilns）, but the latter to the Min Yao system （the Chinese popular kilns）. The principle component analysis shows their relationship between the Altar and Laohudong wares with provenance postulation. The thickness of the transitive layer in the Altar and Laohudong wares is obviously different, which reveals the microstructure characteristics of the celadon even though both kinds of wares belong to the imperial kiln system.     

A Nonlinear Model of Surf Beat

A nonlinear short-wave-averaged (surf beat) model is presented. The model is based on that of Roelvink (1993), but the numerical techniques used in the solution are based on the so-called weighted-averaged flux (WAF) method (eg Watson et al., 1992), with time-operator splitting used for the treatment of some of the source terms. This method allows a small number of computational points to be used, and is particularly efficient in modelling breaking long waves. The short-wave (or primary-wave) energy equation is solved using a more traditional Lax-Wendroff technique. Results of validation indicate that the model performs satisfactorily in most respects.     

A Global Reliability Assessment Method on Aging Offshore Platforms with Corrosion and Cracks

Corrosion and fatigue cracks are major threats to the structural integrity of aging offshore platforms. For the rational estimation of the safety levels of aging platforms, a global reliability assessment approach for aging offshore platforms with corrosion and fatigue cracks is presented in this paper. The base shear capacity is taken as the global ultimate strength of the offshore platforms. It is modeled as a random process that decreases with time in the presence of corrosion and fatigue crack propagati...     

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.     

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