陕南化龙山蕨类植物区系研究

化龙山共有蕨类植物２６科、４６属、１１４种。本文对该区蕨类植物的科、属、种进行了统计，其区系地理成分可划分为８个类型。本区与我国８个山地蕨类植物区系比较表明，化龙山与神农架关系密切，属同一自然区，与其它山地较为疏远。     

大别山马鬃岭自然保护区蕨类植物区系的研究

马鬃岭自然保护区地处大别山北坡，在安徽省金寨县境内。该区共有蕨类植物２８科、５５属、８９种。本文对该区蕨类植物的科?属、种进行了统计，分析了该蕨类植物区系的地理成分，可将其划分为１３个类型。该区与邻近地区蕨类植物区系关系的密切程度依次为西南、华中、华北、华南、日本、西北、台湾和东北。将该区与我国１２个山地的蕨类植物区系进行了比较，结果表明，该区与天目山、黄山、庐山、北山、九华山、齐云山等六个山地区     

南京宁镇山脉南支蕨类植物区系及园林应用

【目的】了解南京宁镇山脉南支蕨类植物区系及生态类型,分析蕨类植物在园林景观配置中的应用型。【方法】以南京将军山为对象,通过野外调查和室内标本鉴定等方法统计出该区蕨类植物种类,分析了该地蕨类植物区系的组成和分布区类型,并将该区系与其他蕨类植物区系的相似性系数、综合系数及物种丰富度进行了比较,最后总结了将军山蕨类植物的生态类型及其园林应用。【结果】南京将军山地区共计有蕨类植物19科24属33种; 区系综合系数为0.442,物种丰富度指数最高,为25.54。该区蕨类植物优势科为金星蕨科,没有明显的优势属,具有古老性和残遗性的特征。将军山蕨类植物区系与浙江龙王山、江苏云台山蕨类植物区系关系近,与安徽黄山、河南高乐山蕨类植物区系关系比较近,与江西庐山蕨类植物区系关系比较疏远。根据蕨类植物的生境和分布,将军山蕨类植物可分为浮水、石生及土生共3种生态类型。【结论】南京将军山蕨类植物区系组成比较丰富,具有热带向温带过渡的特征,东亚分布物种在该区系占有主要优势。该区观赏蕨类植物资源较为丰富,但是许多观赏价值较高并有应用前景的蕨类植物还未被认知和开发利用。     

河南大别山蕨类植物区系的初步研究

河南大别山蕨类植物共计２９科６３属１３７例。本文通过对其科，属，种的统计分析，总结出河南大别山蕨类植物区系的七个特征。     

山西省蕨类植物区系研究

对山西省蕨类植物区系进行了研究.结果表明,山西蕨类植物共有16科23属46种,区系属于泛北极蕨类植物区,种类稀少,以卷柏科Lycopodiaceae、水龙骨科Polypodiaceae、铁角蕨科Aspleniaceae等科属所含种数相对较多;从种的区系成分看,山西省蕨类植物区系可以划归为6个分布区类型,其中世界分布和热带分布构成了该区系的主体,反映了东亚和热带蕨类植物区系的统一性和紧密联系.     

梵净山自然保护区蕨类植物的区系特征

为探明梵净山自然保护区蕨类植物(含石松类植物,下同)的区系特点,结合野外调查、标本鉴定及资料整理的方法,调查了梵净山蕨类植物种类,并分析了梵净山蕨类植物属与种的各种区系成分。主要结果有:1)梵净山自然保护区共有蕨类植物28科,87属,324种,7变种和3变型。2)属的区系分析表明本区蕨类植物区系在属一级上带有明显的热带性质,但温带成分对本区区系也有一定影响。3)种的区系分析显示本区蕨类植物区系在种一级上具有温带性质,处于东亚蕨类植物区系的东翼及我国蕨类植物区系的中心区域,热带亚洲成分向北扩散也对本区蕨类植物的区系特征造成影响。     

三清山旅游风景区蕨类植物区系研究

从三清山蕨类植物区系科属种统计，地理分布统计和江南山地蕨类植物区系比较分析，结果表明：该区系处于热带成分北迁，温带成分南渗及我国西南成分向华东、日本扩展的过渡地带，具有明显的东亚性、过渡性、复杂性和发生上的古老性等特征。     

老岭自然保护区蕨类植物资源及其区系特点

于2002年,对河北省秦皇岛境内老岭自然保护区的蕨类植物资源进行了调查。结果表明：老岭自然保护区共有蕨类植物59种,隶属14科、23属。对该区蕨类植物种类与生境特点进行了描述,并分析了其区系特点。     

巴岳山-西温泉风景名胜区蕨类植物区系特征分析

在对巴岳山-西温泉风景名胜区蕨类植物初步调查基础上,分析其区系组成及特征.结果表明:①该区蕨类植物丰富,共有166种(含变种和变型),隶属37科,63属;②单种科、少种科、单种属和少种属较为丰富,充分说明该区蕨类植物区系地质年代起源古老,科和属分化程度较低;③优势科、属比较明显;④科、属分布区类型以热带分布为主的同时,温带分布类型也占一定比例;⑤该区蕨类植物区系与缙云山、红水河沟谷亲缘关系较近,而与金佛山的亲缘关系较远.     

秦皇岛市药用蕨类植物资源的调查研究

在秦皇岛市野生蕨类植物资源调查研究的基础上，查明该市药用蕨类植物４４ 种（含种以下单位），其中贮量大，分布广的有９ 种，对这些药用蕨类植物的开发利用提出了建议。     

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.