体相CO2约化自扩散系数的标度律关联模型

用巨正则转换矩阵蒙特卡罗（GC-TMMC）和分子动力学（MD）模拟方法研究了体相CO2单位分子的过剩熵与其约化自扩散系数（D*s）的标度关系。过剩熵主要考虑3种定义：总体过剩熵sex，以分子重心径向分布函数定义的二体熵s(2)c和所有原子径向分布函数定义的二体熵s(2)t。结果表明，总体过剩熵sex与D*s之间存在明显的标度关系，并且独立于状态点所处的相态，可以用热力学量-过剩熵来关联动力学量-自扩散系数（约化方式）；二体熵在小于超临界温度范围内的标度结果偏离了-sex-D*s的“共同曲线”。本文拓展了过剩熵标度律在分子流体中的应用范围，得到了其在体相CO2自扩散系数关联中的应用规律。     

一个带有源项的非严格双曲型方程组的整体熵解的存在性

讨论了带有源项的非严格双曲型方程组ρt+(ρ)x=h1(x,t)ρ，ut+2u22+P(ρ)2x=h2(x,t)u的整体熵解的存在性.利用补偿列紧理论结合Kinetic思想证明当h1(x,t),h2(x,t)满足一定条件,且初值为有界可测函数时,方程组存在整体熵解.     

基于液芯柱透镜测量随浓度变化的液相扩散系数：方法综述

液相扩散系数是溶液浓度的函数D(c)，通常采用浓度配对法、Boltzmann-Matano(BM)图解法、Hall解析法和多项式数值逼近等方法测量D(c)关联式.文章在综述以上几种测量方法的基础上，重点介绍了测量D(c)关联式的一种新方法，即BM半解析法. BM半解析法基于液芯柱透镜测量扩散过程中溶液浓度的空时分布函数cexpt(x, t)s，结合Hall解析法以及BM图解法，能够快速、准确、稳定地测量D(c)关联式.用BM半解析法测量了葡萄糖水溶液在室温下的D(c)关联式，采用时域有限差分法(FDTD)求解Fick扩散方程，计算了不同D(c)关联式下扩散浓度的空时分布函数，计算结果与实验浓度分布函数cexpt(x, t)s进行了分析比较.结果表明，采用FDTD计算并比较实验扩散浓度空时分布的方法，为实测D(c)关联式的正确性提供了一种有效的判断手段.     

局部遍历随机环境下一个重伸缩过程收敛的结果

考虑一个重伸缩过程(Xη,εt)t≥0,假设{η(x)}x∈Z是由局部遍历性的概率测度分布的,本文研究此过程当ε→0时的极限。证明了在局部遍历性分布条件下,对于R上的二阶连续可微函数f(X)和某个与η独立的齐次扩散函数a(X),这个重伸缩过程依分布με收敛到R上具有无穷小生成元d/dX(a(X)d/dXf(X))的扩散过程。     

变系数反应扩散方程的格子Boltzmann模型

研究了含变系数的反应扩散方程,构建了含弛豫时间函数τ(x,t)的D1Q3格子Boltzmann模型.为了能准确地恢复出此宏观方程,利用Chapman-Enskog展开和多尺度分析技术,推导出了各个方向的平衡态分布函数和弛豫时间函数τ(x,t)的具体表达式.数值计算结果表明该模型是稳定、有效的.     

探讨使用野外随机取样推断随机变量概率分布的数学方法--杂草研究作为一个例子

我们在生态学研究中涉及到的大多数变量呈现出随机性,因而可以认为它们就是随机变量.概率分布是研究随机变量变化规律的基础,如何利用野外取样来推断检验随机变量的分布是本文要解决的主要问题.本文扩展了回归方法的应用,使其能用来推断一个随机变量的分布函数,并且该推断还能被统计检验.作为一个应用实例,该方法被用于确定杂草种子在特定条件下扩散的分布函数.在此条件下,该杂草种子扩散为近似的高斯(正态)分布.     

关于严平稳过程的上穿过与最大值的几点注记

设ξ(t)(t≥0)是一严平稳过程,具有连续的样本函数,且ξ(t)的分布函数是连续的.令N_u(T)记对于水平u>0,在(0,T)内ξ(t)上穿过的数目.本文讨论E(N_u(T))的公式以及(?)P(M(T)≤u_n_T(x)),其中M(T)=sup{ξ(t)|0≤t≤T},而u_n_T(x)是单增函数.     

Copula熵方法及其在三变量洪水频率计算中的应用

为解决传统Copula方法在进行联合概率分布拟合过程中要先进行函数类型选择的问题,将Copula函数和最大熵原理进行耦合,通过求解具有最大熵的Copula方程,求得二维联合分布函数,即Copula熵方法。用求得的Copula函数对洪水事件的3个相关变量(洪峰流量、洪水总量和洪水历时)进行两两配对的二维联合分布拟合,并利用Gibbs采样方法和Copula函数实现三变量洪水事件的随机模拟。以淮河鲁台子水文站的实测洪水资料为研究对象,进行实例分析,并通过拟合优度的计算,证明Copula熵方法对多维相关变量概率拟合的有效性以及Gibbs采样方法在三变量洪水事件模拟过程中的有效性。     

二维XY模型始于有序初态的aging现象

应用蒙特卡罗数值模拟方法,对二维XY模型始于有序初态的aging现象展开研究。模拟温度设在临界温度附近,模拟的物理量为双时自关联函数A(t,t')。其难度在于对从有序初态开始的动力学过程,解析研究滞后于数值研究,因此对标度形式的推论成为热点。数值研究发现,非平衡态下的二维XY系统的自关联函数与空间关联长度之比ξ(t)/ξ(t')相关,在相变点附近具有标度行为,证实系统处于aging过程。更重要的是通过对双时自关联函数仔细的动力学标度分析,得到了与以往文献相比更为可信的标度形式。用数值方法证实了这种标度形式不仅在低温下成立,在临界温度附近也成立。因为与其他文献相比,本研究的模拟温度更接近临界点,并在这样的动力学标度下得到了正确的临界指数,说明本研究的实验数据是自洽和可信的,同时观察到不同等待时间下模拟实验数据的collapse现象。     

扩散方程的具有振动边值的Dirichlet问题

令(D)表示d 1维欧氏空间Rd的有界子集.利用概率方法和时空布朗运动,对(D)上如下扩散方程1/2△u(x(t)) q(x(t))u(x(t))=()/()u(x(t)),x(t)∈(D)的随机Dirichlet问题进行了推广,其中q是给定的定义在(D)上的有界H(o)lder连续函数.证明了上述扩散方程具有振动边值的Dirichlet问题的存在性.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.