皖江城市带环境经济系统协调演化分析

可持续发展观要求环境与经济协调发展,以发挥最大的综合效益.本文以皖江城市带为研究区域,构建了皖江城市带环境经济系统评价指标体系,分析了研究区的环境综合实力指数与经济综合实力指数;运用协调度与协调发展度模型,对皖江城市带2004-2011年环境经济系统的协调性及其演化特征进行定量评价.结果显示,协调度的平均值为0.7848,环境系统与经济系统总体上表现出一般协调水平,呈现"下降-上升-下降"的趋势,且各年间变化幅度大;协调发展度呈现先上升后下降的趋势,变化范围为0.6432到0.7614,大致处于初级协调发展经济滞后型阶段和中级协调发展环境滞后型阶段.     

基于引力模型的皖江城市带旅游经济联系测度分析

区域旅游经济联系表现为旅游实体区域间的相互作用和关联.本文以皖江城市带旅游为研究对象,采用引力模型来测度2001年和2010年城市间旅游经济联系度,进而对比分析各城市对周边区域的旅游经济的辐射能力和皖江城市带旅游空间组织结构.研究表明:城市间旅游经济联系度与其旅游经济地位密切相关,旅游经济实力强的合肥市辐射能力最强;城市间旅游经济联系度符合距离衰减规律,沿主要交通干线延伸并随距离的增加而不断减小;皖江城市带旅游具备网络发展的趋势.最后,根据分析结果,提出了促进皖江城市带旅游业发展的对策建议.     

产业链空间集聚对区域经济增长影响的实证研究——以皖江城市带制造业为例

本文就皖江城市带制造业产业链间的空间集聚对皖江城市带经济增长的影响进行了实证研究.研究结果显示,皖江城市带制造业的产业集中度和产业链空间集聚度均随着时间的推移不断提升;皖江城市带制造业的空间集聚能显著地促进当地经济增长.     

皖江城市带城市化水平地域差异分析

皖江城市带是安徽实现中部崛起的“脊梁”，分析皖江城市带的城市化水平及其地域差异是制定皖江城市带发展战略的基础．根据相关统计资料，构建了城市化水平综合评价指标体系，运用因子分析法对皖江城市带9个地级市的城市化水平进行综合评价，并通过聚类分析，认为目前皖江城市带城市化水平存在差异，可以划分为3种类型．最后提出因地制宜的区域协调发展战略．     

皖江城市带城市土地集约利用与社会经济发展协调性分析

通过单独构建皖江城市带土地集约利用与社会经济发展评价指标体系,并运用熵值法分别确定08年两个系统指标权重,在此基础上利用协调性函数模型对两个系统进行协调性分析.研究表明皖江城市带各城市土地集约利用与社会经济发展水平均较低,但两个系统间基本协调,只是协调程度上有差别,呈现出城市社会经济越发达土地集约利用程度越高特点,但大部分城市属于土地集约利用与社会经济低水平协调型.     

昌吉市城镇化与生态环境耦合协调度演变分析

文章以新疆昌吉市为研究对象,基于"P-S-R"模型、熵值法、综合指数法及耦合分析法评价2002-2015年昌吉市城镇化和生态环境耦合阶段及发展水平。结果表明:(1)城镇化质量与生态环境水平变化差异性明显。其中经济和社会城镇化对昌吉市城镇化综合水平影响最大,生态环境响应对生态环境综合水平影响最大。(2)城镇化和生态环境综合水平整体波动上升的演变趋势,两个系统发展水平差距呈现变小的趋势,耦合协调度在研究时期内总体水平相对较高,其变化范围是0.4419-0.8316。(3)城镇化与生态环境耦合协调度呈阶段性特征。2002年属于非协调阶段,其类型为衰退类-轻度失调城镇化滞后型;2003-2011年为转型期阶段,其类型分别为发展类-初级协调城镇化滞后型和中级协调发展类城镇化滞后型;2012-2015年属于协调阶段,其类型为发展类-良好协调城镇化滞后转向生态环境滞后型。     

贵州省县域城镇化质量评价及其演变特征分析

科学认知县域城镇化发展质量及其空间分异特征,可为促进县域城镇化高质量发展提供科学依据.基于2008-2018年贵州省83个县域单元面板数据,从经济发展、社会发展及城乡一体化3个维度构建了县域单元城镇化质量评价指标体系,运用综合评价法、耦合协调度模型、空间自相关和冷热点分析方法探析贵州省县域单元城镇化质量水平及其空间分异特征.研究结果表明:(1)2008-2018年贵州省各县域单元城镇化质量呈持续上升态势,其中城镇化质量中等别的数量不断增加,低等别的数量持续下降,但高等别的占比仍然偏低.(2)贵州省县域城镇化质量内在耦合协调水平偏低且区域差异有统计学意义,其中稳步提升型主要分布在贵阳市区、六盘水市区、遵义市区以及仁怀市,缓慢提升型主要分布在贵阳市区周围以及沪昆高铁沿线,低水平保持型主要集中分布在贵州省东北部、东南部和西南部.(3)贵州省县域城镇化质量具有明显的空间集聚特征,城镇化质量高-高集聚区主要分布在贵阳-遵义沿线区域;城镇化质量热点区域保持在贵阳、遵义及其周边区域;次热区域毗邻热点区域,主要集中分布在黔中地区;而冷点区域主要集中分布在东北部和东南部.贵州省应以巩固脱贫攻坚成果为抓手,补齐社会发展短板,持续提升县域城镇化质量和努力缩小区域差异;夯实黔中地区对贵州省城镇化高质量发展的引领作用,不断优化县域城镇化质量的空间格局.     

皖江城市带县域经济梯度分析及发展研究

采用因子分析和聚类分析对皖江城市带各个县域的经济做实证研究。从经济、资源和民生三方面共选择了18个代表性的测量指标,进行因子分析,采用主因子得分聚类分析进行梯度经济划分。研究发现皖江城市带的县域经济梯度差异明显。最后分别针对不同的发展水平的县域依据其经济特征给出相应的政策建议。     

皖江城市带城乡协调发展差异性分析

科学地评价城乡关系的发展程度和状况是城乡关系研究中需要解决的关键问题,研究和度量二者之间发展的协调程度是促进其共同发展的基础.以皖江城市带作为研究区域,借助相关研究成果,构建城市与乡村协调发展的综合评价指标体系,分别对研究区10个地市的城乡与乡村综合发展水平进行了计算;在此基础上,利用模糊数学中的隶属度概念,对其两系统之间的协调发展程度做出定量测算,依据结果将他们划分为良好协调、中度协调和勉强协调3种发展类型.最后,针对不同发展类型的地区,就如何促进皖江城市带城乡协调发展提出对策建议.     

基于ESDA的安徽省县域经济空间格局分异演化研究

基于ESDA的空间数据分析方法,研究了1996—2008年间安徽省县域经济空间格局的分异演化规律,结果表明:安徽省县域经济发展的空间自相关性明显,但空间格局较为分散,各市区对周边县域经济的带动力不强,存在极化效应,主要体现在"皖江城市带"空间集聚.而劳动力、人力资本、固定资产投资、政府支出、农业化和农民生活水平是导致安徽省县域经济空间分异的主要原因.     

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.