盘锦市重点行业企业污染源废水综合毒性研究

本文通过对盘锦市22个行业的29家企业废水采用生物毒理指标(发光细菌、斑马鱼、蚕豆根尖微核)进行测试,应用废水生物综合评价体系;分析研究了工业废水的综合毒性,并根据废水处理前、后毒性变化值,监控废水处理设施处理效果,对生物监测体系的应用、推广起到了积极的促进作用,对环境污染的溯源、监督提供了质量保证体系。     

循环活性污泥复合生物反应器废水处理技术及其评价

介绍了循环活性污泥复合生物反应器废水处理技术的工艺原理和组成、国内外类似研究的现状及进展情况,对循环活性污泥复合生物反应器废水处理工艺的主要技术特征、优点及其经济性进行了分析与评价.     

膜生物反应器处理工业废水的应用研究

介绍了膜生物反应器的类型,并列举了膜生物反应器在不同行业中废水处理中的应用。     

膜生物反应器在废水处理中的应用及研究进展

随着废水处理技术的不断发展,一些新的废水处理方法不断涌现。把膜分离技术与污水的生物处理法相结合构成了一种新型污水生物处理工艺——膜生物反应器,它是一种新型高效的污水处理工艺。文章综述了膜生物反应器的分类及基本结构,膜生物反应器在国内外的研究以及应用中存在的主要问题和解决方法,并对新型膜生物反应器的原理和应用进行了讨论。     

膜生物反应器在废水处理中的研究和应用

膜分离技术与废水生物处理技术的有机结合——膜生物反应器是一种新型高效的污水处理工艺.综述了膜生物反应器的基本运行方式,膜生物反应器在国内外的研究和应用概况以及应用中存在的主要问题.对膜生物反应器在我国未来废水处理领域的应用前景进行了讨论.     

微生物在废水处理技术中的应用现状

微生物技术是一种有效的废水生物处理技术,微生物在废水处理中的应用包括：高效厌氧技术在印染废水处理中的应用、生物制剂在废水处理中的应用、膜生物反应器在废水处理中的应用、陶瓷膜超滤术在含油废水处理中的应用等。     

微生物在废水处理技术中的应用现状

微生物技术是一种有效的废水生物处理技术,微生物在废水处理中的应用包括:高效厌氧技术在印染废水处理中的应用、生物制剂在废水处理中的应用、膜生物反应器在废水处理中的应用、陶瓷膜超滤术在含油废水处理中的应用等。     

新型骨组织工程体内生物反应器内晶体液交换规律

建立一种新型的骨组织工程体内生物反应器,观察该生物反应器内的晶体液及溶质交换指标,评价该体内生物反应器应用于骨组织工程细胞培养的可行性。①将12只成年新西兰大白兔随机分为两组,每组6只,分为含和不含不锈钢支撑架的两组。在每只白兔背部利用筋膜建立一个含或不含不锈钢支撑架的筋膜囊袋(生物反应器)。按统一标准构成2cm×2cm的筋膜包囊。②24h后经检验筋膜囊袋确认密闭性良好,再向囊袋内内注入2mL生理盐水。③在注入生理盐水后0h、1h、2h、3h、4h时间点,在直视下抽吸残余液体,测定液体量后再测定残液内Ca2 ,PO43-,Na ,K ,Cl-等离子浓度和pH值,同时测定兔血浆相应离子浓度。此新型体内生物反应器内在注入晶体液后,迅速和血浆进行溶质交换,随时间推移晶体液内离子成分浓度向血浆靠近,4h后晶体液基本吸收完全,含支架组与不含支架组的晶体液吸收速率不存在差异(P=0.067),初步测定晶体液吸收速率为:0.125mL/(h·cm2)。说明此新型体内生物反应器内晶体液渗透速率较快,能和体内内环境之间进行快速的物质交换,同时培养器容积可以满足培养长节段人工骨的需要,具备进行体内组织工程骨细胞复合结构中细胞营养交换的基本要求。     

基于欧式贴近度的模糊物元模型优选奶牛养殖废水处理工艺

目的从技术性能、经济费用、管理效果三方面对UASB+SBR、UASB+生物接触氧化法处理奶牛养殖废水进行工艺优选.方法在模糊物元分析的基础上,结合欧氏贴近度的方法,对奶牛养殖废水处理工艺进行对比评价.以试验室中试实测备选方案的化学需要量(COD)、五日生化需氧量(BOD5)、氨氮(NH3-N)、总磷(TP)、悬浮物(SS)的去除率为基础,利用均方差法确定指标权重,得出欧式贴近度.结果UASB+SBR的技术性能最优,UASB+生物接触氧化法的经济效益和管理效果最优,综合评价UASB+SBR的欧式贴近度值为0.341 2,高于UASB+生物接触氧化法欧式贴近度值.结论"UASB+SBR"为最佳组合工艺,为奶牛养殖废水处理技术产业化过程中性能评估提供了科学的依据.     

生物多样性熵值测度指标的应用与分析

以一般生物多样性指标为基础．对熵值测度指标进行了研究，用熵值及其他多样性指标分析评价了新疆克拉玛依荒漠植被的生物多样性。结果表明，熵值测度指标与一般生物多样性指标在机理上有对应性，不仅可作为物种多样性、生态优势度、物种丰富度的优良评价指标，而且可以说明系统的物种对系统的贡献大小及其演化方向。     

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.