燃煤锅炉PM微尺度流体力学研究模型初探

构建了燃煤锅炉及烟道内可吸入颗粒物的流动模型的框架，模型包含颗粒碰撞、凝并、冷凝、成核、破碎、化学反应等物理化学过程．提出了该模型的研究思路和研究方法，列出了研究的重点和关键问题，给出了颗粒数密度变化函数，为研究可吸入颗粒物的流动模型奠定了基础．     

环境大气可吸入颗粒物的矿物学研究

首先介绍了可吸入颗粒物中矿物颗粒的研究意义，随后对国内外矿物颗粒的研究现状和研究方向进行了详细论述；使用X射线衍射(XRD)和带能谱的扫描电镜(SEM/EDX)对北京春季可吸入颗粒物中矿物组分进行了初步研究，结果表明，北京春季可吸入颗粒物中的矿物有石英、粘土矿物、硅铝酸盐矿物、硫酸盐矿物等，以硅铝酸盐矿物为主，同时存在新生的矿物颗粒，新生矿物的存在表明有活跃的大气化学反应发生；在研究的基础上，对今后开展矿物颗粒的研究提出了建议。     

信阳市冬季大气可吸入颗粒物中化学元素组成特征及来源解析

为了解信阳市大气可吸入颗粒物可能的来源,采样并分析信阳市大气可吸入颗粒物中化学元素组成,得到了可吸入颗粒物中14种化学元素的质量浓度.研究表明:信阳市可吸入颗粒物中主要化学元素为Al、Si、K、Ca、P、Fe、S,其中由燃煤引起的S元素质量浓度最高,为8.2 μg·m-3.因子分析结果表明:燃煤源、土壤源、建筑施工源与垃圾焚烧源是可吸入颗粒物的主要来源.     

泰安市城区环境空气可吸入颗粒物源解析研究

本研究主要建立了泰安市可吸入颗粒物(PM10)的源与受体成分谱数据库，通过化学质量平衡(CMB)受体模型进行解析，得出了采暖期和非采暖期各颗粒物污染源对空气可吸入颗粒物污染物的贡献值和分担率，为有针对性的尘污染防治提供科学依据．     

北京冬季室内空气中TSP，PM10，PM2．5和PM1污染研究

人们每天2／3以上的时间在室内度过，室内空气中可吸入颗粒物对人体健康的影响越来越受到国内外研究人员的广泛关注，在我国，虽然人们对大气中细粒子的研究比较系统、深入，然而对室内环境中可吸入颗粒物的研究、报道却很少，作在北京市的海淀区、朝阳区、丰台区和昌平区选择了19个家庭，分别对其厨房、客厅和卧室的室内空气中TSP，PM10，PM2.5和PM1的浓度进行了测定，并且对室内空气中粉尘含量的影响因素进行了分析和探讨。     

燃煤可吸入颗粒物及重金属汞控制技术研究进展

对燃煤电站锅炉可吸入颗粒物及重金属汞控制技术的国内外研究现状进行了总结,阐述了其基本原理和技术特点,并详细介绍了可吸入颗粒物及重金属汞脱除技术在世界上的最新研究成果,分析了其目前存在的问题和不足,提出了进一步的研究方向及联合脱除可吸入颗粒物及重金属汞的集成控制技术.     

永安市环境主要空气指标变化周期分析

采用傅立叶波谱分析方法对永安市环境监测站2007年二氧化硫、二氧化氮、可吸入颗粒物监测日均值数据进行谐波分析，结果表明：永安市二氧化硫、二氧化氮和可吸入颗粒物都存在一定的变化周期，二氧化硫主要是以星期为周期的区域环流影响大尺度变化为主，以月为周期的背景变化及以每日为周期的局地变化为其次：二氧化氮和可吸入颗粒物均以3个月以上为周期的背景变化为主，以星期为周期的区域环流影响大尺度变化为其次，可吸入颗粒物还受以每日为周期的局地变化影响。     

江西省环境空气污染现状及其防治对策

以2013年江西省环境空气二氧化硫、二氧化氮和可吸入颗粒物监测数据为依据,分析了江西省环境空气污染现状,并提出了相应的治理建议对策。2013年全省二氧化硫、二氧化氮浓度年均值总体较好,而可吸入颗粒物为超二级标准。燃煤和机动车尾气是江西省环境空气中二氧化氮的主要来源;建筑扬尘和机动车尾气是导致城市环境空气可吸入颗粒物浓度偏高的主要原因。研究结果可以为江西省治理空气污染提供理论和技术支持。     

临沂市环境空气可吸入颗粒物源解析研究及污染防治对策

利用二重源解析技术分析了临沂市非采暖季节各颗粒物污染源对环境空气可吸入颗粒物的贡献，并据研究结论提出了防治扬尘污染的对策。     

模拟大气污染暴露对小鼠多组织急性损伤及肺组织的氧化应激效应

采用自主研发的气动雾化法装置,模拟自主呼吸条件下暴露于污染大气环境的真实状况,探讨大气可吸入颗粒物(空气动力学直径≤10μm)不同暴露时间对小鼠肺、脑、心、肝、肾、睾丸等靶器官组织损伤程度及可吸入颗粒物暴露导致小鼠的氧化应激效应.结果显示,可吸入颗粒物经气动雾化法暴露后导致小鼠肺、肾、肝、心等多组织发生病理性损伤,诱导肺组织发生明显的氧化应激,肺组织可作为可吸入颗粒物毒性机制研究的靶标组织.     

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…     

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.     

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.