兰州市区公共交通运营状况与噪声影响分析

简要概括了兰州市道路交通特点,以交通调查为基础,结合兰州市的公交线路分布与交通量分布,就公交客流量、行驶状况等基本运营状况进行了分析,重点对工作日、休息日做了对比研究,进而论证了公共交通对噪声的影响较大,指出降低兰州市交通噪声可先从公交入手.     

临夏市交通噪声污染现状及发展趋势分析

为探讨临夏市交通噪声污染现状及发展趋势,通过对临夏市交通干线的全面监测,采用路段长度加权算术平均法和污染分指数进行了评价,得出如下结论:临夏市交通噪声整体水平较好,能够达到正常的声环境质量要求;交通噪声的污染分指数全部大于0.9,部分已经超过1.0,临夏市交通噪声已接近标准限值,个别出现超标;5年后交通噪声将会出现整体超标现象,10年后交通噪声整体水平较差,临夏市交通噪声污染需加强治理。     

兰州城区轨道交通建设的可行性研究与探讨

随着经济的发展和对外交通的不断增长,兰州市区的交通迫切需要得到改善。要想彻底解决兰州市的交通拥挤和堵塞的问题,应考虑解决沿黄河流向的交通发展问题,东西向交通问题的解决是彻底解决兰州城区交通的关键。     

西柳沟立交工程总体方案初步设计研究

西柳沟立交作为外部交通进入兰州市的西大门,是兰州市内外交通转换的重要枢纽,其交叉口应为正确实现各方向交通的转换提供良好服务功能,保证整个交通系统的流畅运行。文章主要结合该立交的总体方案设计,对初步设计的主要内容做了研究。     

兰州市城关核心区交通问题的几点建议及对策

近两年,兰州市现状城区部分路段堵车现象十分严重,开车容易停车难,交通事故频发,群众颇有抱怨,尤其是全市污水全收集工程自今年3月开挖以来,部分路段交通压力更甚,上下班高峰期时间交通几近瘫痪。结合最新民用版Google卫星影像地图拍摄的兰州市城关核心区的影像,图文结合,分析探讨兰州市城关核心区交通压力存在的症状及根源,并提出相应的解决建议及对策。     

建设城市轨道交通 促进兰州快速发展

兰州市主城区由于受河谷型狭长带状城市布局特点的影响,随着城市的快速发展,近年来城市交通系统承担着巨大的压力,交通供需矛盾日益突出,交通拥堵已由城市蜂腰地带逐步扩散至主城区整个道路网,拥堵时段也由高峰小时向平峰时段蔓延,交通拥堵问题已经成为制约兰州市城市发展的一个非常重要的因素。本文分析了建设轨道交通将对未来兰州市城市空间结构合理布局、交通结构改善、减少交通拥堵等方面带来的作用和效果,指出尽快建设轨道交通将会有效缓解主城区的交通压力,有力促进兰州城市的发展,有望成为兰州市可持续发展的有力支撑。     

兰州市物流基础设施的建设研究

现代物流的发展离不开物流基础设施的支撑,兰州市现代物流的发展处于起步阶段,规划和确定物流基础设施的建设重点,对兰州市现代物流的发展具有重要的意义。本文从物流通道网络和交通基础设施两个方面对构建兰州市的物流基础设施进行了分析和研究,旨在为兰州市物流业的发展提供依据。     

浅析BOT模式在兰州轻轨交通开发建设中的应用

随着经济的快速发展,我国开始进入城市化和机动化的加速发展阶段。城市轻轨交通以其大运量、高效率、低污染等优势,迅速成为许多大城市解决交通问题的首要选择。交通拥堵、污染严重、土地狭促,这些都是兰州市目前存在的问题。针对现状和未来的发展需要,轻轨交通建设已提上兰州市综合交通规划。本文立足现实,具体分析了BOT模式在建设兰州轻轨交通设施中应用的可行性,并对其在轻轨交通建设中的积极意义进行了探讨,提出了BOT模式在轻轨交通建设中的运作程序以及应注意的问题。     

泉州市区噪声变化特征分析及控制措施

该文主要对泉州市区2006年～2010年功能区噪声、区域噪声及交通噪声进行定期监测,通过监测结果的分析、总结,得出泉州市区整体噪声水平呈现出明显的下降趋势。泉州市区声环境质量状况的主要噪声污染源一是社会生活噪声,其次是交通噪声污染源,并根据泉州市区的实际情况提出控制噪声污染的对策和建议。     

兰州市城市交通发展模式探讨

1 兰州市交通概况目前从兰州市的交通现状来看车多路窄公共交通混乱的问题较为突出近年来兰州市的道路经过逐步改造和新建仍难适应日益增长的交通需要分析原因主要有以下三点1 车辆数量的高速增长远远超过了道路的发展2兰州市特殊的地理位置决定了道路上车辆分布的不平衡性3 城市的公共交通系统没有随着城市的发展而升级2 建立高效的城市公共交通系统2.1 城市轨道交通系统城市轨道交通系统可分为有轨电车轻轨和地铁因为轨道交通系统使用专用的道路可以保证快速准点安全和没有污染载客量大这一点在中国及亚洲的大城市体会更深但是轨道交通系…     

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)

正~~     

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.