Studies on the synthetic, structural, electrical and magnetic properties of Ln(n)MCo(n)O(3n+1) (Ln=Sm, Gd; M=Sr, Ba; n=1,2)

Three new oxides Sm2SrCo2O7, Sm2BaCo2O7 and Gd2SrCo2O7 have been synthesized successfully by solid state reaction mathod. The X-Ray diffraction spectra show that they are all isostructural with Sr3Ti2O7, and Ln(2)SrCo(2)O(7)(Ln=Sm,Gd) crystallized in tetragonal system, Sm2BaCo2O7 in orthrhombic system. The Co-O bonds in CoO2 planes of Ln(2)SrCo(2)O(7) are shorter than those of LnSrCoO(4)(Ln=Sm, Gd), and so their delectrons are more delocalized and their electrical resistivities are smaller. The electrical resistivities versus temperature in the range 300 similar to 1100K showed that the five brides show the characters of weakly localized systems. In the lower temperature range, the magnetic behaviors of Gd2SrCo2O7 and GdSrCoO4 fit Curie-Weiss law well, and the magnetic exchange reaction in CoO2 sublattices of Gd2SrCo2O7 is ferromagnetic, but that of GdSrCoO4 is antiferromagnetic. The other three oxides with Sm3+ showed complex magnetic behaviors which is perhaps related with the complexity of Sm3+.

STUDIES ON THE SYNTHETIC, STRUCTURAL, ELECTRICAL, AND MAGNETIC-PROPERTIES OF THE NEW LAYERED OXIDES LN(2)MCO(2)O(7) (LN=SM, GD, M=SR, BA)

Three new oxides Ln(2)MCo(2)O(7) (Ln = Sm, Gd; M = Sr, Ba) have been synthesized in solid state reaction method. The powder X-ray diffraction spectra show that they are all isostructural with Sr3Ti2O7. The electrical resistivities in the temperature range 300-1100 K show that they are all semiconductors, and a transition to metals is observed at 1053, 1053, and 573 K for Sm2SrCo2O7, Gd2SrCo2O7, and Sm2BaCo2O7, respectively. The magnetic suspectivities of Gd2SrCo2O7 in the temperature range 300-673 K fit the Curie-Weiss law well. A plateau is observed in the curves of Sm(2)MCo(2)O(7) (M = Sr, Ba) which is attributed to the configuration state change of Co(III) from low spin to high spin. (C) 1995 Academic Press, Inc.

THE PHYSICAL AND CHEMICAL-PROPERTIES OF SYNTHETIC AND NATURAL JADEITE FOR JEWELRY

Jadeite was synthesized from its glass of stoichiometric composition NaAlSi2O6, and a colouring agent Cr2O3 (0.3-0.6 wt%) was added to achieve the emerald colour. The conditions employed were a pressure range of 3.0-5.0 GPa and a temperature range of 1150

Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels

The convolution between co-polarization amplitude only data is studied to improve ship detection performance. The different statistical behaviors of ships and surrounding ocean are characterized a by two-dimensional convolution function (2D-CF) between different polarization channels. The convolution value of the ocean decreases relative to initial data, while that of ships increases. Therefore the contrast of ships to ocean is increased. The opposite variation trend of ocean and ships can distinguish the high intensity ocean clutter from ships' signatures. The new criterion can generally avoid mistaken detection by a constant false alarm rate detector. Our new ship detector is compared with other polarimetric approaches, and the results confirm the robustness of the proposed method.

Underwater topography detection of Shuangzi Reefs with SAR images acquired in different time

Imaging mechanism of underwater topography by SAR and a underwater topography SAR detection model built on the theory of underwater topography detection with SAR image presented by Yuan Yeli are used to detect the underwater topography of Shuangzi Reefs in the Nansha Islands with three scenes of SAR images acquired in different time. Detection results of three SAR images are compared with the chart topography and the detection errors are analyzed. Underwater topography detection experiments of Shuangzi Reefs show that the detection model is practicable. The detection results indicate that SAR images acquired in different time also can be used to detect the underwater topography, and the detection results are affected by the ocean conditions in the SAR acquiring time.

A new method for the estimation of oceanic mixed-layer depth using shipboard X-band radar images

Shipboard X-band radar images acquired on 24 June 2009 are used to study nonlinear internal wave characteristics in the northeastern South China Sea. The studied images show three nonlinear internal waves in a packet. A method based on the Radon Transform technique is introduced to calculate internal wave parameters such as the direction of propagation and internal wave velocity from backscatter images. Assuming that the ocean is a two-layer finite depth system, we can derive the mixed-layer depth by applying the internal wave velocity to the mixed-layer depth formula. Results show reasonably good agreement with in-situ thermistor chain and conductivity-temperature-depth data sets.

Measurements of ocean wave and current field using dual polarized X-band radar

A new ocean wave and sea surface current monitoring system with horizontally-(HH) and vertically-(VV) polarized X-band radar was developed. Two experiments into the use of the radar system were carried out at two sites, respectively, for calibration process in Zhangzi Island of the Yellow Sea, and for validation in the Yellow Sea and South China Sea. Ocean wave parameters and sea surface current velocities were retrieved from the dual polarized radar image sequences based on an inverse method. The results obtained from dual-polarized radar data sets acquired in Zhangzi Island are compared with those from an ocean directional buoy. The results show that ocean wave parameters and sea surface current velocities retrieved from radar image sets are in a good agreement with those observed by the buoy. In particular, it has been found that the vertically-polarized radar is better than the horizontally-polarized radar in retrieving ocean wave parameters, especially in detecting the significant wave height below 1.0 m.

海底地形的SAR影象仿真与反演

本文旨在建立SAR水下地形探测的理论和应用的基本框架。研究内容包括：1. 水下地形的SAR成象机制 采用Bragg散射理论与海面微尺度波高频谱的饱和谱形式相结合，建立了后向散射截面与海面微尺度波流调制作用间的函数关系，该函数为雷达相关项与大尺度海流对海面微尺度波的调制作用项之积，该调制项包含海底地形的信息。2. 建立水下地形的SAR影象仿真模型，定性和定量地解释SAR影象的类地形条纹以及SAR在不同的水文条件下对水下地形的可视性 以二维深度平均的海流模式或三维σ坐标的海流模式计算流场，结合风波即可计算出大尺度海流对海面微尺度波的调制作用项，文中记为函数G，并称计算所得的G值灰度影象为SAR的仿真影象。通过仿真模型可以研究不同微尺度波波向、流向及地形梯度方向情况下SAR影象对海底地形变化的可视性，结果表明，当海流流向、地形梯度方向和微尺度波波向三者平等时，SAR影象中的类地形牲的可视性最好。随着这三个方向夹角逐渐增大，可视性逐渐降低，当其中两个方向垂直时，类地形特征消失或变得很弱。较大的流速可以增强类地形影象的对比度，这在SAR影象中存在背景噪声时是重要的。3. SAR水深反演的反问题的提法与解法以及反演模型的反演精度分析通过SAR探测海底地形可以归为已知雷达后向散射截面或G值求水深的数学物理反问题，本文的反演模型由G 值函数表达式和二维深度平均的海流运动方程组以及适当的初边值条件构成。由于该反问题的边界条件的提法为超定的，所以其解设计为求目标泛涵的最小偏差解，反演算法为最速下降法。该算法不受反演大小的限制，具有较好的收剑性和解的存在性，但解依赖于初猜值的选择。当反演区域内部分点的水深已知时，这些数据可以很容易地融合在最小偏差解的算法中，从面加快收敛速度，提高计算精度。利用仿真模式所给出的SAR影象证实了该反问题的求解方法是可行的，且具有较高的计算精度。通过反演模型进行的数值试验表明： 1）微尺度波波向、流向和地形梯度方向对反演精度有明显影响。三个方向平等时反演精度最高，当其中任两向垂直时，都会成为反演的盲点。这是由反演模式本身的奇性所决定的。虽然三向夹角不同时，反演精度有变化，但在大多数情况下，反演值与真值地形波动的位置，形状和幅度等都具有很好的一致性。只有当其中两向接近垂直时，才出现较大的差异或反演失效；2）虽然一定流速的存在是反演的基础，但流速的大小对反演精度影响并不大；3）本反演系统对G值误差和反演未知量的初猜值的误差以及波向角选取误差都有较强的容差能力；但对水深边值误差较敏感，要求其精度较高；4）由于反演模式需要水深的初猜值，所以需要知道反演区域的平均水深，一个好的初猜值可以加速算法的收敛，而一个较差的初猜值则可能引起较大的误差，一船说来，平均水深就已经可以获得较高精度的结果。4. 仿真和反演模型的一个实例研究 本文以北海（the North Sea)的一张 Seasat SAR 影象和该区域的海图水深为例，采用所建立的仿真模型和反演模型对这张SAR影象上的类地形明暗条纹进行了成功的仿真，也通过SAR影象数据经过数据处理和反演，求出了影象区域的水深，反演水深数据和实际海底沙脊吻合较好。研究结果初步验证了海底地形结构的SAR影象仿真与反演的可行性。本文的研究表明，只要SAR影象在低海况下拍摄，且有精确的定位，再加上对SAR影象所覆盖海区的粗精度的水深和边界水深的已知条件，就可以在对该海区进行潮流模拟的基础上用反演模式来获取高空间分辨率的水深资料。

极化SAR图像海面船只监测方法研究

船只监测不论是在民用还是军用方面都有广阔的应用前景。极化合成孔径雷达（PolSAR）可以测量目标的极化散射特性，能够提高舰船检测的准确度和分类精度。论文以工程应用为背景，以深刻理解PolSAR图像成像原理及理论为基础，重点围绕PolSAR图像船海对比度增强和海上目标识别等方面开展了研究。 本文在文献综述的基础上，全面分析了单极化和PolSAR图像舰船目标检测的研究现状。在现有的PolSAR图像目标检测方法基础上，针对双极化数据首次提出二维卷积方法提高船海对比度；针对全极化数据改进广义最优化方法，构造极化特征向量，将回波强度和极化散射特征有机结合，提高船海对比度。上述两种方法能解决船只回波强度和海面回波强度相近或高海况下船目标检测问题。将聚类方法应用到海上目标识别中，采用非监督分类-模糊聚类可以将船只、海上人造目标、船尾迹等识别开来，在海上目标识别方面将有广阔的应用前景。 应用极化电磁波基本理论，将极化熵概念应用到船只监测。首次采用Bragg模式和双尺度模式分析两种不同极化熵随着入射角、波数和风场的变化情况，从而确定在低风速下Cloude熵相对Touzi熵更适合船只监测。

多源多时相SAR资料反演水下地形的同化模型

合成孔径雷达(SAR)是重要的微波传感器之一，在海洋遥感领域得到了广泛应用。浅海水下地形SAR探测是SAR海洋应用的重要部分之一，发展业务化水下地形SAR探测技术是水下地形SAR探测研究的最终目标。现有的水下地形SAR探测是基于单景SAR影像开展的，探测结果不能全面反映水下地形。因此，发展一种基于多源多时相SAR影像的水下地形反演方法是该研究方向的前沿问题。 本文基于水下地形SAR成像机制和袁业立（1997）导出的海波高频谱解析表达式，首次建立了基于多源多时相SAR影像的水下地形反演的同化模型与算法，并通过该模型在台湾浅滩水下地形SAR探测中的应用检验了该模型和算法的可行性。本文还开展了已有的浅海水下地形SAR探测技术（浅海水下地形单景SAR影像反演）在台湾浅滩水下地形探测中的应用研究，以及反演初始水深对水下地形SAR反演结果影响的研究。此外，本文还对中国近海水下地形SAR成像能力进行了分析。 在浅海水下地形SAR探测技术应用于台湾浅滩研究方面，基于7景SAR影像开展了台湾浅滩单景SAR影像反演计算，反演结果表明同一水下地形不同时相SAR影像反演结果不能全面反映真实地形特征。 在反演初始水深对水下地形SAR反演结果影响研究方面，通过不同初始水深条件下台湾浅滩水下地形SAR反演结果的比较分析，可以得出：初始水深影响水下地形反演结果的准确性，初始水深的选取需要较粗的实际水深的支持； 在多源多时相水下地形SAR反演同化模型研究方面， 建立了多源多时相水下地形SAR反演的同化模型与算法，通过基于多源多时相SAR影像的台湾浅滩五种不同情形水下地形反演计算，证明了多源多时相水下地形SAR反演同化模型和算法是可行的，并给出了基于多源多时相SAR影像的水下地形反演计算中SAR影像的选取原则。 在中国近海浅海水下地形SAR响应能力分析方面，基于对中国近海潮汐潮流状况、水下地形概况和已有中国近海SAR影像中水下地形特征等的分析，总结出中国近海适合开展浅海水下地形SAR探测的区域主要有：渤海海域、苏北近海海域、台湾海峡海域和南沙群岛海域。

Synthesis and evaluation of a thiourea-modified chitosan derivative applied for adsorption of Hg(II) from synthetic wastewater

In this work, a thiourea-modified chitosan derivative (TMCD) was synthesized through two steps, O-carboxymethylated first and then modified by a polymeric Schiff's base of thiourea/glutaraldehyde. The adsorption behavior of mercury (II) ions onto TMCD was investigated through batch method. The maximum adsorption capacity for Hg(II) was found to be 6.29 mmol/g at pH 5.0 and both kinetic and thermodynamic parameters of the adsorption process were obtained. The results indicated that adsorption process was spontaneous exothermic reaction and kinetically followed pseudo-second-order model. The adsorption experiments also demonstrated TMCD had high adsorption selectivity towards Hg(II) ions when coexisted with Cu(II), Zn(II), Cd(II) and Ca(II) in solution and it could be easily regenerated and efficiently reused. (C) 2010 Elsevier B.V. All rights reserved.

Electrochemical and thermodynamic investigation of diniconazole and triadimefon as corrosion inhibitors for copper in synthetic seawater

This paper presents the investigation of diniconzole and triadimefon as chemical corrosion inhibitors for freshly polished copper in synthetic seawater (3.5% NaCl solution). Determination of weight loss, polarization curves, electrochemical impedance spectroscopy (EIS), and SEM, were performed to analyze the inhibiting performance of these compounds. Polarization curves show that they act as mixed-type inhibitors. EIS indicates that an adsorption film of the inhibitors is formed on copper surface. The highest values of inhibition efficiency are respectively, 99.2% and 97.3% at 100 mg/L concentration. Thermodynamic calculation suggests that chemisorptions between the compounds and copper are accordance with Langmuir adsorption isotherm. (C) 2010 Elsevier Ltd. All rights reserved.

改善三维波动方程叠前深度偏移处理效果的方法研究

3D wave equation prestack depth migration is the effective tool for obtaining the exact imaging result of complex geology structures. It's a part of the 3D seismic data processing. 3D seismic data processing belongs to high dimension signal processing, and there are some difficult problems to do with. They are: How to process high dimension operators? How to improve the focusing? and how to construct the deconvolution operator? The realization of 3D wave equation prestack depth migration, not only realized the leap from poststack to prestack, but also provided the important means to solve the difficult problems in high dimension signal processing. In this thesis, I do a series research especially for the solve of the difficult problems around the 3D wave equation prestack depth migration and using it as a mean. So this thesis service for the realization of 3D wave equation prestack depth migration for one side and improve the migration effect for another side. This thesis expatiates in five departs. Summarizes the main contents as the follows: In the first part, I have completed the projection from 3D data point area to low dimension are using de big matrix transfer and trace rearrangement, and realized the liner processing of high dimension signal. Firstly, I present the mathematics expression of 3D seismic data and the mean according to physics, present the basic ideal of big matrix transfer and describe the realization of five transfer models for example. Secondly, I present the basic ideal and rules for the rearrange and parallel calculate of 3D traces, and give a example. In the conventional DMO focusing method, I recall the history of DM0 process firstly, give the fundamental of DMO process and derive the equation of DMO process and it's impulse response. I also prove the equivalence between DMO and prestack time migration, from the kinematic character of DMO. And derive the relationship between DMO base on wave equation and prestack time migration. Finally, I give the example of DMO process flow and synthetic data of theoretical models. In the wave equation prestak depth migration, I firstly recall the history of migration from time to depth, from poststack to prestack and from 2D to 3D. And conclude the main migration methods, point out their merit and shortcoming. Finally, I obtain the common image point sets using the decomposed migration program code.In the residual moveout, I firstly describe the Viterbi algorithm based on Markov process and compound decision theory and how to solve the shortest path problem using Viterbi algorithm. And based on this ideal, I realized the residual moveout of post 3D wave equation prestack depth migration. Finally, I give the example of residual moveout of real 3D seismic data. In the migration Green function, I firstly give the concept of migration Green function and the 2D Green function migration equation for the approximate of far field. Secondly, I prove the equivalence of wave equation depth extrapolation algorithms. And then I derive the equation of Green function migration. Finally, I present the response and migration result of Green function for point resource, analyze the effect of migration aperture to prestack migration result. This research is benefit for people to realize clearly the effect of migration aperture to migration result, and study on the Green function deconvolution to improve the focusing effect of migration.

基于信息重建技术的地震信号处理方法研究

The dissertation addressed the problems of signals reconstruction and data restoration in seismic data processing, which takes the representation methods of signal as the main clue, and take the seismic information reconstruction (signals separation and trace interpolation) as the core. On the natural bases signal representation, I present the ICA fundamentals, algorithms and its original applications to nature earth quake signals separation and survey seismic signals separation. On determinative bases signal representation, the paper proposed seismic dada reconstruction least square inversion regularization methods, sparseness constraints, pre-conditioned conjugate gradient methods, and their applications to seismic de-convolution, Radon transformation, et. al. The core contents are about de-alias uneven seismic data reconstruction algorithm and its application to seismic interpolation. Although the dissertation discussed two cases of signal representation, they can be integrated into one frame, because they both deal with the signals or information restoration, the former reconstructing original signals from mixed signals, the later reconstructing whole data from sparse or irregular data. The goal of them is same to provide pre-processing methods and post-processing method for seismic pre-stack depth migration. ICA can separate the original signals from mixed signals by them, or abstract the basic structure from analyzed data. I surveyed the fundamental, algorithms and applications of ICA. Compared with KL transformation, I proposed the independent components transformation concept (ICT). On basis of the ne-entropy measurement of independence, I implemented the FastICA and improved it by covariance matrix. By analyzing the characteristics of the seismic signals, I introduced ICA into seismic signal processing firstly in Geophysical community, and implemented the noise separation from seismic signal. Synthetic and real data examples show the usability of ICA to seismic signal processing and initial effects are achieved. The application of ICA to separation quake conversion wave from multiple in sedimentary area is made, which demonstrates good effects, so more reasonable interpretation of underground un-continuity is got. The results show the perspective of application of ICA to Geophysical signal processing. By virtue of the relationship between ICA and Blind Deconvolution , I surveyed the seismic blind deconvolution, and discussed the perspective of applying ICA to seismic blind deconvolution with two possible solutions. The relationship of PC A, ICA and wavelet transform is claimed. It is proved that reconstruction of wavelet prototype functions is Lie group representation. By the way, over-sampled wavelet transform is proposed to enhance the seismic data resolution, which is validated by numerical examples. The key of pre-stack depth migration is the regularization of pre-stack seismic data. As a main procedure, seismic interpolation and missing data reconstruction are necessary. Firstly, I review the seismic imaging methods in order to argue the critical effect of regularization. By review of the seismic interpolation algorithms, I acclaim that de-alias uneven data reconstruction is still a challenge. The fundamental of seismic reconstruction is discussed firstly. Then sparseness constraint on least square inversion and preconditioned conjugate gradient solver are studied and implemented. Choosing constraint item with Cauchy distribution, I programmed PCG algorithm and implement sparse seismic deconvolution, high resolution Radon Transformation by PCG, which is prepared for seismic data reconstruction. About seismic interpolation, dealias even data interpolation and uneven data reconstruction are very good respectively, however they can not be combined each other. In this paper, a novel Fourier transform based method and a algorithm have been proposed, which could reconstruct both uneven and alias seismic data. I formulated band-limited data reconstruction as minimum norm least squares inversion problem where an adaptive DFT-weighted norm regularization term is used. The inverse problem is solved by pre-conditional conjugate gradient method, which makes the solutions stable and convergent quickly. Based on the assumption that seismic data are consisted of finite linear events, from sampling theorem, alias events can be attenuated via LS weight predicted linearly from low frequency. Three application issues are discussed on even gap trace interpolation, uneven gap filling, high frequency trace reconstruction from low frequency data trace constrained by few high frequency traces. Both synthetic and real data numerical examples show the proposed method is valid, efficient and applicable. The research is valuable to seismic data regularization and cross well seismic. To meet 3D shot profile depth migration request for data, schemes must be taken to make the data even and fitting the velocity dataset. The methods of this paper are used to interpolate and extrapolate the shot gathers instead of simply embedding zero traces. So, the aperture of migration is enlarged and the migration effect is improved. The results show the effectiveness and the practicability.

Synthetic studies on optically active Schiff-base ligands derived from condensation of 2-hydroxyacetophenone and chiral diamines

Three optically active Schiff-base ligands have been prepared by condensation of 2-hydroxyacetophenone with (IR,2R)-(-)-1,2-diaminocyclohexane, (1S,2S)-(-)1,2-diphenylethylenediamine or R-(+)-2,2'-diamino-1,1'-binaphthalene, respectively. The products have been characterized by their IR, H-1- and C-13-NMR spectra.