X射线荧光光谱法分析不同类型岩石中10种主量元素的测试能力验证

以28个不同类型岩石标样作外标,用玻璃熔片法制样,采用经验系数法进行基体校正,建立了X射线荧光光谱法(XRF)测定不同类型岩石中硅铝钙镁等10种主量元素的分析方法。该方法被用于参与GeoPT分析测试能力验证,15年来分析了23个不同类型的岩石验证样品。经验证该方法对SiO_2、Al_2O_3、K_2O和CaO具有非常好的分析效果(所有测定结果的|Z|2);对于MgO、MnO、TiO_2和Na_2O四个元素,尽管各有一个样品的分析结果的|Z|2,这主要是样品与标样的基体差异较大造成了低含量样品测定结果超差,但依然可获得好的分析效果;当TFe_2O_31.0%,P_2O_5含量在0.08%~0.80%区间时,分析结果的|Z|2,满足分析期望。总体上所建立的XRF分析方法稳定,可满足应用地球化学实验室测试不同类型岩石中10种主量元素的分析期望。     

壳聚糖和PDMDAAC改性膨润土用于处理含油废水的研究

含油废水污染范围广,对人类和生态环境危害大。采用常规方法(如浮选法、絮凝法、电化学法、膜分离法和生物法)处理的除油率不高于91%,成本较高,因此急需开发一种高效低廉的吸附剂。膨润土是一种优良的吸附剂,但用其直接处理含油废水的效果较低。本文选用壳聚糖和PDMDAAC两种有机物作为改性剂,对钠基膨润土改性,使膨润土能有效地处理含油废水。通过实验比较了两种有机改性膨润土处理含油废水的最佳去除条件,探讨了表征对其吸附性能的影响。去油效果结果表明:壳聚糖改性膨润土的除油率可达87.8%,PDMDAAC改性膨润土的除油率可达89.3%,处理所需时间少于15 min;除油效率和处理时间都优于常规方法。吸附性能表征结果显示,两种改性剂均以负载的方式和钠基膨润土颗粒结合,吸附性能良好;相比而言,PDMDAAC改性膨润土的处理效果比壳聚糖改性膨润土更好。PDMDAAC应用于含油废水的处理,具有成本低、效率高、操作简单的特点,在含油废水处理领域具有较好的应用前景。     

应用FTIR-XRD-XRF分析测试技术研究新型仿制绿松石的矿物学特征

近年来绿松石及其仿制品的鉴定工作较多局限于应用傅里叶变换红外光谱对仿制品进行简单的筛选,前人报道的仿制绿松石的矿物组成主要为单一的矿物相(如异极矿、三水铝石、磷铝石、羟硅硼钙石、菱镁矿等)。本文应用傅里叶变换红外光谱(FTIR)、X射线粉晶衍射(XRD)与X射线荧光光谱(XRF)对当前珠宝市场上几种新型仿制绿松石进行了初步分类,并对不同类别的仿制绿松石的具体矿物组成、物相及晶型特征作了对比研究。结果表明,这些新型仿制绿松石可分为三大类:一类主要由硅酸盐(斜硅钙石)与碳酸盐(方解石)两种矿物组成;另一类为白云石与方解石两种碳酸盐矿物的混合相;第三类以硅酸盐类为主要矿物,并含有钡长石、辉石与石英。显然,新型仿制绿松石的矿物组成明显相异于传统仿制品,可见仿制绿松石的矿物组成日趋多样性、复杂化,该现状必然对新型仿制样品的物相鉴定提出了更高的要求。     

大型稀疏矩阵的压缩技巧及其应用算法研究

本文通过对目前流行的两类关于大型稀疏矩阵优化压缩设计技巧的分析,提出一种在矩阵加、乘算法中统一使用的压缩格式。文中提出的算法,无论是矩阵的输入或者运算结果的输出均采用统一的压缩格式,所以能方便地应用于矩阵链相加或相乘的运算,而且所用的存储量较少,也大大加快了运算速度。用FORTRAN77编制的两算法的标准子程序已经在DPS7机上调试成功。     

Combining satellite and seismic images to analyse the shallow structure of the Dead Sea Transform near the DESERT transect

The left-lateral Dead Sea Transform (DST) in the Middle East is one of the largest continental strike-slip faults of the world. The southern segment of the DST in the Arava/Araba Valley between the Dead Sea and the Red Sea, called Arava/Araba Fault (AF), has been studied in detail in the multidisciplinary DESERT (DEad SEa Rift Transect) project. Based on these results, here, the interpretations of multi-spectral (ASTER) satellite images and seismic reflection studies have been combined to analyse geologic structures. Whereas satellite images reveal neotectonic activity in shallow young sediments, reflection seismic image deep faults that are possibly inactive at present. The combination of the two methods allows putting some age constraint on the activity of individual fault strands. Although the AF is clearly the main active fault segment of the southern DST, we propose that it has accommodated only a limited (up to 60 km) part of the overall 105 km of sinistral plate motion since Miocene times. There is evidence for sinistral displacement along other faults, based on geological studies, including satellite image interpretation. Furthermore, a subsurface fault is revealed ≈4 km west of the AF on two ≈E–W running seismic reflection profiles. Whereas these seismic data show a flower structure typical for strike-slip faults, on the satellite image this fault is not expressed in the post-Miocene sediments, implying that it has been inactive for the last few million years. About 1 km to the east of the AF another, now buried fault, was detected in seismic, magnetotelluric and gravity studies of DESERT. Taking together various evidences, we suggest that at the beginning of transform motion deformation occurred in a rather wide belt, possibly with the reactivation of older ≈N–S striking structures. Later, deformation became concentrated in the region of today’s Arava Valley. Till ≈5 Ma ago there might have been other, now inactive fault traces in the vicinity of the present day AF that took up lateral motion. Together with a rearrangement of plates ≈5 Ma ago, the main fault trace shifted then to the position of today’s AF.     

一种矢量线数据零水印算法

为了满足矢量地理空间数据高精度和零扰动的实用性需要,该文提出一种零水印算法。首先利用Logistic混沌映射置乱原始水印图像;然后对原始矢量线数据进行离散傅里叶变换,获得离散傅里叶变换后的相位值,并将相位值由弧度值转换为角度值;接着随机选取均匀分布的角度值,向下取整后转换为相应的二进制形式,得到二值矩阵;最后将置乱后的水印图像与由相位值构成的二值矩阵进行异或操作,从而构造出零水印图像。实验结果表明,该算法能够抵抗常见的平移、缩放等几何攻击,并且对数据格式转换攻击、投影变换攻击具有较好的鲁棒性。     

地形表面反射强度的数学层析成像方法

若二维ＲＦ窄波反射函数是定义在地面一圆形区域内部的，并假定该圆域表面介质是弱反射介质，那么在给定时刻，接收发射器（如机载合成孔径雷达）所接收到的近回数据可视 过该圆域的一圆弧上的线积分值，Ｍｕｍｓｏｎ，ｅｔ，ａｌ。在假定圆域半径与接收发射器运动路径到该圆域中心的距离相比很小的情况，用直线上的线积分值来代替圆弧线上的线积分值，利用古典的Ｒａｄｏｎ变换方法，给出了该圆域反射函数的成像模式。本文将克服这     

A new fast fourier method for evaluating fourier spectra at arbitrary frequencies

This paper deals with some recent problems of frequency determination in dynamical systems. As a main result a new Fast Fourier Transform (FIT) method, the High Resolution Fast Fourier Transform (HRFFT) is presented, which allows for economic evaluation of discrete Fourier spectra at arbitrary frequencies, not just at the evenly spaced points of the rigid frequency grid the ordinary FFT is restricted to (continuous evaluation). Comparison is made to existing methods in what regards continuous evaluation, computational speed, memory requirements and precision, evidencing the high efficiency of the HRFFT. Possible applications of the new technique are indicated, showing that existing methods, as e.g. that of Laskar (1990, Icarus 88) and its extension by idlichovský and Nesvorný (1996, this volume), may strongly benefit from the HRFFT.     

Hard X-ray all-sky imaging with BATSE/CGRO

The large Area Detectors (LADs) of the BATSE experiment aboard the Compton Gamma-ray Observatory have been used recently as the first hard X-ray all-sky imager at energies between 20 keV and 300 keV. The Earth occultation process is formulated in terms of a curved Radon transform convoluted by a step transform in a selected field of view (FOV) ranging from 5°×5° to 40°×40°. The Maximum Entropy Method is then used to reconstruct an image in the hard X-ray sky. Multiple images of different regions of the sky can be produced simultaneously. A source location accuracy of 0.1° for strong sources and a sensitivity limit of 100 mCrab have been achieved in an one-day integration period.Invited Paper on Imaging in High Energy Astronomy, Sept., 1994, Capri, Italyalso Universities Space Research Association     

Prediction of extreme wave heights using neuro wavelet technique

Precise prediction of extreme wave heights is still an evading problem whether it is done using physics based modeling or by extensively used data driven technique of Artificial Neural Network (ANN). In the present paper, Neuro Wavelet Technique (NWT) is used specifically to explore the possibility of prediction of extreme events for five major hurricanes Katrina 2005, Dean 2007, Gustav 2008, Ike 2008, Irene 2011 at four locations (NDBC wave buoys stations)¹ namely; 42040, 42039, 41004, 41041 in the Gulf of Mexico. Neuro Wavelet Technique is employed by combining Discrete Wavelet Transform and Artificial Neural Networks. Discrete wavelet transform analyzes frequency of signal with respect to time at different scales. It decomposes time series into low (approximate) and high (detail) frequency components. The decomposition of approximate components (extreme events in the ocean wave series) can be carried out up to the desired multiple levels in order to provide relatively smooth varying amplitude series. This feature of wavelet transforms make it plausible for predicting extreme events with a better accuracy. In the present study third, fifth and seventh level of decompositions are used which facilitates 3 to 7 times filtering of low frequency events and seems to pay the dividend in the form of better prediction accuracy at extreme events. To develop these Neuro wavelet models to forecast the waves with lead times of 12 hr to 36 hr in advance, previously measured significant wave heights at same locations were used. The results were judged by wave plots, scatter plots and other error measures. From the results it can be concluded that the Neuro Wavelet Technique can be employed to solve the ever eluding problem of accurate forecasting of the extreme events.