后危机时代海南省城镇化发展的空间分异研究

在后危机时代，明确海南省城镇化发展现状和趋势，对海南省因地制宜的选择城镇化和经济发展战略具有重要意义. 基于熵值法，从人口、社会、经济和地域景观等4个维度构建城镇化水平综合评价指标体系，对海南省2011—2013年18个市县的城镇化水平进行综合评价，并借助ARCGIS软件和空间自相关分析、抽样标准差的方法，对后危机时代海南省城镇化发展的空间分异进行探索，结果表明:（1）海南城镇化综合水平在逐年小幅度提升，但区域差异较大，形成明显“两极格局”和东、中、西线城市的城镇化水平递减格局；（2）空间自相关分析表明，海南省城镇化水平在空间分布上并没有表现出集聚的特征，不存在城镇化发展的核心带动区，且局部区域存在显著负相关关系；（3）城镇化类型区域差异明显，严重滞后、滞后、超前、严重超前型城市并存，积极型城镇化城市不多，且城镇化“双中心”城市城镇化均超前较严重，而积极型城市的城镇化和经济发展在省内均处于低水平.     

新疆人口城镇化与经济城镇化的时空变化分析

从时间序列和空间分布两方面分析2000-2013年的新疆人口、经济发展数据,应用变异系数赋权法构建新疆城镇化水平测度体系,最后基于时间变化计算新疆人口城镇化和经济城镇化的耦合协调度、人口城镇化滞后程度,利用空间分布图直观表征新疆城镇化发展的水平和速度.结果表明,新疆的人口城镇化和经济城镇化发展不协调,且在时间和空间上存在较大差异性,整体呈现"北高南低"、"东高西低"的地理分布特征.而新疆南部由于其独特的区位,与北部和东部地区相比在人口城镇化与经济城镇化上的落后性值得深思.该研究或对欠发达地区的城镇化发展提供一定的科学参考.     

河南省城镇化发展协调度研究

基于人口、经济、土地和社会城镇化概念与内涵构建城镇化发展协调度的评价指标体系,通过线性加权模型和离差系数法得到河南省18个市的2011年城镇化的发展水平得分和协调度,之后对评价结果的地区差异和协调度的空间差异进行分析,以期为城镇发展政策制定提供依据.研究结果表明:人口城镇化出现局部"低洼",经济城镇化和社会城镇化存在西北向东南倾斜的特征,土地城镇化在东北和中西部偏低;城镇化发展协调度总体较高,相互之间差距大,空间上存在由西北向东南倾斜的格局.最后基于18个市所属的协调度类型提出河南省城镇化协调发展的相应对策.     

山东省城市化与经济发展关系的空间格局

基于全国各省与山东各地区2014年的统计数据,应用象限法对山东各地区的城市化与经济发展关系空间格局进行分析.研究表明:济南、青岛属于城市化严重超前,但作为山东的龙头城市,发展具有合理性;其他地区的城市化与经济发展关系呈现明显的东西差异,城市化水平从东向西递减;城市化与经济发展存在正相关关系,两者相互促进,城市化建设需与当地经济发展水平相协调.     

基于GIS的辽宁省城镇化空间演变特征分析

城镇化空间演变特征的分析是研究区域城镇化发展的关键.在梳理相关研究成果和研究方法的基础上,采用多维度综合评估、GIS技术空间分析的方法,选取人口、产业、用地、教育、居民服务5个指标,探讨辽宁省城镇化空间演变特点,以及5个指标间的协调关系.通过对辽宁省的实证研究发现,人口、产业、教育、用地、居民服务的城镇化指标值在空间演变方面既有相同点又存在差异性.高值区主要分布在沈阳、大连及其周边城市,而辽西北地区各项指标值一直处在较低的水平,城镇化地区发展不均衡,两极分化严重;随着城镇化速度加快,各要素在发展变化过程中的冲突与矛盾增多,指标间表现不协调.     

龙岩市人口城镇化路径分析

城镇化水平是衡量一个地区经济和社会发展水平的重要指标.当前,龙岩市人口城镇化虽处于快速发展阶段,但依然存在着城镇化总体水平低,城镇化水平滞后于工业化水平; 城镇化地区差异大,城镇体系不协调;三大产业结构不合理,城镇化后续发展不足等问题.促进龙岩市人口城镇化必须大力发展二、三产业,提高城镇发展动力;强化城镇特色,增强城镇吸引力;发展现代农业,促进城乡协调发展;加快制度创新,鼓励外出人员回乡创业.     

大同市旅游产业与城镇化耦合协调度及其影响机制

借鉴物理学中的耦合理论并选取大同市为案例地,依据耦合协调度等级及阶段划分标准,将大同市旅游产业与城镇化耦合协调度划分为3个阶段:探索失调阶段、过渡发展阶段、创新上升阶段;并从静态和动态两个视角,探索大同市旅游产业与城镇化耦合协调度的影响机制。结果发现:大同市旅游产业与城镇化之间存在显著的耦合协调发展特征;大同市旅游产业与城镇化发展水平呈现波动上升趋势,旅游产业滞后类型占多数;大同市两个系统间的耦合协调水平呈现波动上升趋势,从2011年实现了从失调阶段向协调阶段的转变;从静态角度看,大同市旅游业发展水平、经济城镇化、人口城镇化、空间城镇化、社会城镇化与两个系统的耦合协调度存在正相关关系,相关系数分别为0.976 4、0.983 4、0.789 2、0.987 5、0.968 3;从动态角度看,大同市各因素对两个系统耦合协调度的影响程度由高至低依次为经济城镇化、空间城镇化、社会城镇化、人口城镇化、旅游业发展水平。     

广西西江经济带人口城镇化与土地城镇化协调发展研究

以广西西江经济带所辖的南宁市、柳州市等7个地级市为研究对象,采用均方差决策法和协调发展度模型评价了各地级市的人口城镇化与土地城镇化协调发展关系,并对其空间差异特征进行了分析总结,以期为快速发展中的广西西江经济带各市差别化的城镇化发展战略与政策的制定提供参考依据。结果表明:(1)广西西江经济带人口城镇化与土地城镇化发展水平与社会经济发展水平有关,存在明显的区域不平衡;(2)协调发展水平总体较低,仍存在较大的提升空间;(3)协调发展水平差异显著,协调发展度最高的柳州市与最低的崇左市的协调发展度相差达0.404;总体呈现中部高于东部,东部高于西部的空间差异特征。     

安徽省人口和土地城市化耦合协调过程与影响因素

人口城市化和土地城市化是衡量城市化水平的重要内容,探究两者耦合协调关系及耦合发展驱动因素对实现新型城镇化具有重要意义.以安徽省地级市辖区、县级市、县为研究单元,选取国内生产总值(gross domestic product,GDP)、人口密度、平均高程等相关指标计算人口和土地城市化速率的协调度,运用耦合协调模型和地理探测器,研究了2000-2016年安徽省人口和城市化速率以及两者的耦合协调演变趋势、空间差异,最后探讨了耦合驱动因素.结果表明:①安徽省主要的城市化特征为人口城市化滞后型,人口和土地城市化耦合协调关系整体向好但增长缓慢,协调水平仍较低;②人口和土地城市化耦合协调发展的空间差异较为明显,并且有一定的空间集聚性;③对两者耦合影响较大的因素为土地城市化率、人口密度和平均坡度,交互作用最强的因素为人口城市化率和土地城市化率,土地城市化和人口密度与相应的社会经济因子之间的交互作用对人口和土地城市化耦合发展起着主导作用.     

经济发展与物流POI空间耦合协调研究——以中央苏区国家级贫困县为例

贫困县经济发展与物流POI(Point of interest)空间耦合性关系研究对优化贫困县物流设施布局、平衡地区经济发展要素、助推“减贫摘帽”攻坚战具有重要意义.该文以中央苏区的4个国家级贫困县为研究对象,利用NPP-VIIRS夜间灯光和POI数据,从时空演化差异、空间自相关及相关因素分析等角度分析了研究区经济发展与物流POI空间分布的耦合协调机制.结果表明:研究区夜间灯光与物流POI数据的空间分布总体趋势相一致,耦合协调由“零散型”逐渐发展为“U型带状”分布特征; 研究区2018年经济与物流发展空间耦合协调度较2016年整体提高0.296,局部地区动态演变差异明显; 中央苏区耦合协调呈现“盆地塌陷式”发展特征,4个国家级贫困县处于盆地中心地带; 空间耦合协调发展水平与交通路网、地形地貌、人口分布等多方面因素联系紧密,“脱贫攻坚”需要全方位考虑地区差异性.     

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).     

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.