基于综合引力模型与首位度的城市群分析

采用首位度与综合引力模型的研究方法,选取地区生产总值、规模以上工业生产总值等14项体现城市综合发展的指标,通过熵值法合理赋权后对海峡西岸城市群内所有城市进行综合分析,揭示城市之间的相互影响关系和城市等级情况.结果表明:福州是海峡西岸城市群的核心城市,其综合质量为城市群内首位,但其城市引力值较厦门低,核心城市的带动作用稍显不足.厦门是次核心城市,城市引力最高,发展势头较好.泉州、温州和漳州等是城市群中的主要城市,处于较好的发展水平.海峡西岸城市群整体展现出蓬勃的发展力,但是,高质量核心城市对次级城市的辐射能力不够;主要城市之间的相关影响不够密切,带动作用较弱.增强高质量城市的核心带动力和城市之间的密切联系将对海峡西岸城市群整体实力的提升起关键作用.     

闽三角区位优势提升存在的问题及相应对策

海峡西岸经济区的建设需要具有一定规模的城市群作为增长极,以厦门、漳州、泉州为中心的闽三角拥有这样的潜力.实现区域整合有利于对接珠江三角洲、长江三角洲繁荣经济带;闽三角区域整合有利于本区域内资源互补,提升海峡西岸在新经济形势下竞争力;闽三角增长极的实现必然促使福建在"大三通"的历史机遇中发挥更大的对台优势.     

中国沿海六大城市群综合发展水平的时空比较研究

通过构建城市群综合发展水平评估指标体系,采用加权求和的方法对各城市群的综合发展水平进行时空测度,结过显示,六大城市群综合发展水平存在较大的差距,其排名依次为长江三角洲、珠江三角洲、京津冀、山东半岛、辽中南、海峡西岸,该文认为城市群综合发展水平的差异主要受城市群原有基础、核心城市辐射作用、外资依存度和产业结构四个方面的影响.     

加大台湾标准研究加强两岸交流促进厦门市产业优化升级

建设海峡西岸经济区是党中央、国务院的重大战略部署,国务院制定《关于支持福建省加快建设海峡西岸经济区的若干意见》,明确提出大力促进海峡西岸经济区加快发展．努力把海峡西岸经济区建设成为科学发展之区。作为海峡西岸重要中心城市的厦门,如何增创新优势,如何在海西建设中发挥好龙头带动作用。也是全市科技工作者关心的话题。诸项工作中,加大台湾标准研究。     

海西建设 厦门先行

<正>加快建设海峡西岸经济区,是党中央、国务院作出的一项重大战略决策。《国务院关于支持福建省加快建设海峡西岸经济区的若干意见》的出台,是厦门继改革开放初期设立经济特区后迎来的又一次重大发展机遇,也是党中央、国务院和省委、省政府对厦门的殷切期望和大力支持,海峡西岸经济     

浅析图书馆与福建省海峡西岸经济区建设

分析了图书馆在福建省海峡西岸经济区建设中的地位和作用,论述了图书馆为海峡西岸经济区建设服务的有利条件,提出了加快图书馆发展的措施。     

基于系统动力学的海峡西岸城市群台风灾害风险分析

以海峡西岸城市群为研究对象,以台风灾害为例,基于系统动力学的理论方法,运用Vensim软件对海峡西岸城市群的台风灾害进行仿真模拟,重点围绕建筑物脆弱性指数和政府重视程度这两个变量分析其对台风灾害损失系统的影响. 得出结论：建筑物脆弱性指数可用建筑物灾损率来表征,脆弱性指数越大,建筑物毁坏速率越快;政府重视程度越高,台风监测预警能力与应急处置能力越强. 从长远考虑,降低建筑物脆弱性指数和提高政府重视程度,对降低台风灾害风险具有较为重要的现实意义.     

区域协调发展视角下的安徽省城市群发展模式与机制研究

安徽省城市群的建设与发展,对于全省的城镇化进程和经济社会发展,具有十分重要的现实意义。基于对安徽省城市群建设研究成果的回顾,依据经济发展阶段理论和区域发展梯度理论,借鉴国内外城市群发展的经验,提出安徽省城市群发展应采用"雁型"模式,在此基础上,设计了安徽省城市群区域协调发展的机制框架,并从社会、经济、资源、人口和环境层面,提出了安徽省城市群区域协调发展的具体措施。     

情报文献工作为海峡西岸经济区崛起服务

论述了情报文献工作对海峡西岸经济区发展战略的重要性,分析了海峡西岸经济区发展战略为情报文献资源建设带来的机遇,指出了利用情报文献资源推动海峡西岸经济区发展的具体方式.     

发挥老科技人才优势服务海西经济区建设

国务院《关于支持福建省加快建设海峡西岸经济区的若干意见》，明确了加快建设海峡西岸经济区的重大意义、总体要求、战略定位、发展目标、重点任务和保障措施．是中央立足战略全局和长远发展作出的一项重大决策．为海峡西岸经济区建设描绘了宏伟蓝图。最近召开的中共福建省委八届六次全体（扩大）会议，     

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.     

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.     

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.