IAP GCM模式大气波谱结构及其在厄尔尼诺年的异常

本文分析了中国科学院大气物理研究所大气环流模式(IAP GCM)模式大气波谱结构(沿纬圈的谐波波谱和时域上的频率谱)及其在厄尔尼诺年的异常。结果表明,超长波是低纬波动的主要空间形式,准40天振荡在一定地理区域内显著存在,并与观测结果有一定联系,它们在厄尔尼诺年均发生明显异常。本工作对鉴定GCM性能及开发GCM的研究领域可能是一种有益的尝试。     

自适应换站算法及其在长距离机载GPS动态相对定位中的应用

提出采用＂自适应换站＂法来解决单基线处理模式难以满足长距离动态定位的问题。该方法的主要思想是：整个解算过程始终保持单基线的动态定位模式,当发现流动站与原参考站间的距离大于流动站与其他参考站间的距离时,自动更换周围最近的参考站作为新参考站;对换站前后的数据设置一定时间的重叠段,利用等价消参法将换站前后的数据进行严格的自适应融合,以保持整个解算过程的连续性。通过对实测机载数据的解算,证明该方法不仅可以克服因载体飞行距离过远而导致的定位精度下降,而且能够避免因换站所引起的前后解的不连续,计算结果表明该方法的定位精度约为2 cm。     

Predicting size effect on diffusion-limited current density of oxygen reduction by copper wire

The size effect of copper wire radius (0.04–0.82 mm) on the diffusion-limited current density of an oxygen reduction reaction in stagnant simulated seawater (naturally aerated 0.5 mol/L NaCl) is investigated by potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) and compared with the results obtained in 0.5 mol/L H2SO4. In the oxygen diffusion-limited range, size effect is found to occur independent of electrolytes, which is attributed to non-linear diffusion. Additionally, to sati...     

上地幔超高压流体的金刚石压砧实验研究

地球深部流体主要是NaCl-H2O溶液,越到地球深部,它赋存的温度、压力越高,性质状态也不断变化,反之,亦然。当NaCl-H2O流体进入和脱离(上升过程)超临界状态时,其性质会发生截然不同的变化,影响着各种地质过程。使用金刚石压砧在高温高压下原位观测流体的实验,用谱学方法,结合同步辐射光源技术,成为定量化研究地球深部高温超高压流体的有效方法。作者使用同步辐射光源的红外谱研究了10GPa下的NaCl-H2O溶液;在地球化学动力学实验室研究了3GPa,650℃下的NaCl-H2O溶液红外谱,此测量方法可以提供温度压力和体积等数据,能研究其状态。NaCl-H2O溶液红外谱表明水分子主要振动谱受压力和温度影响是不同的。压力增加促使水分子主要振动谱向低波数变化。但是温度增加的效应相反。常温高压下水被压缩,结晶向紧密堆积变化。高温高压下的水有气、液、固和超临界流体各相。水分子间的氢键在近临界态开始减弱,氢键网络被破坏。     

四川会理大岩子铂钯矿的地质地球化学特征及找矿前景浅析

四川会理县大岩子铂钯矿床是目前国内品位最高的独立铂族元素矿床之一,也是一个独特的热液成因矿床。矿区及区域上的镁铁质岩浆岩可能是铂族元素的初始来源,震旦系白云岩是其有利的容矿围岩,构造控制下的热液活动促使了铂族元素的迁移富集。地表氧化带蓝铜矿化白云岩矿石的PGE含量最高可达27.13×10-6,坑道中相对新鲜橄辉岩的PGE含量为1.068×10-6,强烈蚀变橄辉岩含PGE0.528×10-6,地表蚀变后橄辉岩的PGE含量为0.435×10-6,表明铂族元素可能发生了活化转移。整个攀西地区基性超基性岩发育,后期构造活动强烈,有利的围岩广泛分布,因而具备形成热液型铂族元素矿床的条件,找矿前景看好。     

Micromorphological-investigation on the Earth's Critical Zone

Soils, the Earth＇s Critical Zone, play a vital and fundamental role in the Earth＇s terrain eco- environment system and human life. Although the concepts of soil/quality and sustainable development have been introduced for decades, we are still failing to understand how well soils function and they need tobe cared and protected. We have been increasingly witnessing and becoming the victim of shrinking forests,     

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.     

Characteristics and evolution of lacustrine turbidite of Chang-7 Member of Yanchang Formation in northern Shaanxi

Lacustrine turbidite of Chang-7 Member in the studied area consists of sihstone and fine sandstone with respect to grain size, which is feldspathic lithie sandstone, syrosem arkose and arkose with respect to mineral constitution affected by provenance. There are such apparent signatures as lithology, sedimentary structure, sedimentary sequence and well logs, to recognize turbidite. During the paleogeographic evolution of Chang-7 Member, lake basin and deep lake are both at their maximum extent during Chang-73 stage, resulting in the deposition of Zhangjiatan shale with widespread extent and of turbidite with fragmental-like. Deep lake line is gradually moving toward lake center and turbidite sand bodies are gradually turning better with better lateral continuity, connectivity and more thickness, from stages of Chang-73, Chang-72 and Chang-7t, which can be favorable reservoir in deep-water.