基于数据修正下的中国未来人口变化研究

主要研究了在二孩政策背景下我国人口发展趋势问题。通过收集相关数据,利用灰色预测与时间序列对数据进行校正,再对现行二孩政策下中国未来5年新生人口和总人口进行了合理预测并对我国未来人口变化带来的挑战进行了分析。     

中国人口增长中短期预测模型探讨

根据已有5年的人口数据,从年龄、性别和城、镇、乡人口结构出发,以生育率、死亡率和性别比例为问题的目标,建立了从第n年预测第n+1年的简单递归模型,然后利用灰色预测理论预测了未来几年的总体生育率、死亡率和性别比例.构造出分年龄生育率和死亡率模型,预测出未来几年各个年龄的生育率和死亡率,并利用预测结果来实现递归计算,从而预测出未来几年的人口结构,在简单递归模型的基础上建立优化的中短期预测模型,预测出未来几年的人口数量.     

基于等维灰数递补动态模型的人口老龄化趋势预测

运用灰色系统中的等维灰数递补动态模型,根据人口普查中得到的老年人口占总人口的比例等数据建立了动态GM（1,1）模型.对今后几年老年人口占总人口的比率进行灰色预测,并对预测精度进行验证,结果显示拟和程度较高.     

具有年龄结构与区分性别的中国人口增长模型

综合考虑了年龄结构、性别与地区（城市、镇、乡村）对我国人口发展的影响,建立了离散线性的差分方程组人口发展模型,并给出了城、镇、乡的男女性人口增长的统一模型,用该模型对我国未来人口的增长情况进行了预测.     

基于灰色系统预测的老龄化预测模型

在6次全国人口普查数据的基础上,利用灰色系统的GM(1,1)理论,构建了我国超过65岁人口的预测模型,得到了老龄人口比例的拟合函数,经检验残差小于0.1,并得到了未来老龄化程度的拟合函数,预测2050年我国老年人口比例将达到14.4%。利用此模型对未来人口增长率进行预测。     

基于Leslie模型的湖北省人口预测及老龄化趋势分析

人口问题一直是研究社会经济等众多领域的一个重要问题,而人口老龄化趋势加强已成为当今社会不得不面对的一个严峻问题。本文基于第五次和第六次全国人口普查数据,利用Leslie模型对湖北省未来人口增长状况及人口结构变化进行了预测及分析。根据预测结果发现,湖北省总人口数不断增加但增长速度放缓,60岁以上人口占总人口的比例逐渐上升且在2035年将达到一个高危数字,老龄化程度不断加深。对此,本文根据现施行的"全面放开二胎"政策提出了一些建议与对策。     

中国人口数量的时间序列分析

本文运用时间序列模型（ARIMA模型）对中国人口进行分析与预测,应用Eviews6．0软件对1949～2007年中国人口数据进行拟合,建立ARIMA模型,运用2008～2010年的人口数据来验证模型,并对2011年的总人口数进行了预测。     

2012-2050年我国老龄人口预测研究

以我国老龄人口发展为研究对象,建立了GM(1,1)动态预测模型和灰色新陈代谢模型,对未来2012-2050年我国老龄人口进行了预测。预测结果显示:2020年我国老龄人口数达到1.717 4亿,2030年2.492 9亿,2040年3.618 7亿,2050年5.252 7亿、占我国总人口数的32%。     

基于灰色理论模型的人口城镇化的分析

运用灰色模型对中国人口城镇化进行灰色预测,并结合回归模型进行预测结果误差分析比较,从误差结果可看出,灰色模型用于预测人口城镇化问题比回归模型更精确可靠,可将该模型用于预测未来几年人口城镇化的程度。     

基于灰色理论模型的人口城镇化的分析

运用灰色模型对中国人口城镇化进行灰色预测,并结合回归模型进行预测结果误差分析比较,从误差结果可看出,灰色模型用于预测人口城镇化问题比回归模型更精确可靠,可将该模型用于预测未来几年人口城镇化的程度。     

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).     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

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.