利用微生物快速挂膜技术治理糖果废水的研究

利用微生物快速挂膜技术对糖果废水治理进行研究,结果表明：该技术对废水中的ＣＯＤＣｒ及ＢＯＤ５的去除有显著的效果。当废水的ｐＨ值为６￣８、水温为２５￣３５℃、ＣＯＤＣｒ及ＢＯＤ５分别在３０００￣９０００ｍｇ／Ｌ和１０００￣３０００ｍｇ／Ｌ时,ＣＯＤＣｒ及ＢＯＤ５的去除率分别大于９２％和９９％,从而为糖果废水治理达标排放奠定了基础。     

利用AB技术处理高浓度石油化工废水的研究

本文利用ＡＢ法废水生物处理技术进行治理高浓度石油化工废水的试验研究，通过ＡＢ法和普通活性污泥法处理高浓度石油化工废水对比性试验，系统地考察了两种方法的进水负荷、耐冲击负荷、活性污泥性状和处理效率等指标。研究结果表明：ＡＢ法在进水ＣＯＤ为１６００ｍｇ／Ｌ，ＢＯＤ５为８００ｍｇ／Ｌ，苯酚浓度为６００ｍｇ／Ｌ，总容积负荷为１２ｋｇＣＯＤ／ｍ＾３ｄａｙ的条件下，ＣＯＤ去除率为９６．５％，ＢＯＤ５去除率达９     

光合细菌处理高浓度制革废水的研究

该文提出采用三级内装软性纤维填料的生物接触氧化槽连续处理工艺，利用光合细菌对制革废水中的高浓度有机废水进行处理。通过试验，确定的工艺条件为进水ＣＯＤ浓度８０００ｋｇ／Ｌ左左，接种活性污泥进行２４ｈ可溶化处理，白天自然为光照、夜间人工光照或黑暗，间歇曝气造成瘘性好氧条件（ＤＯ０．５－２０ｍｇ／Ｌ），ＰＳＢ处理时间为７２ｈ，连续处理小试结果ＣＯＤ和Ｓ＾２－的平均去除率分别为９０．４％和９８．０％，ＢＯ     

厌氧一微氧生物法处理味精生产废水的研究

采用热絮凝、汽提等方法对味精废水进行预处理,ＣＯＤ、ＮＨ２－Ｎ和ＳＯ２-4分别去除５０％、８０％和６０％以上．考察了ＵＡＳＢ反应器与ＣＳＴＲ光合反应器厌氧－微氧串联系统治理味精废水效果,在进料ＣＯＤ浓度为２５．６ｇ／Ｌ条件下,其ＣＯＤ处理能力达３．９ｋｇ／ｄｍ３,ＣＯＤ去除率达９７％．     

厌氧一微氧生物法处理味精生产废水的研究

采用热絮凝、汽提等方法对味精废水进行预处理,ＣＯＤ、ＮＨ２－Ｎ和ＳＯ２-4分别去除５０％、８０％和６０％以上．考察了ＵＡＳＢ反应器与ＣＳＴＲ光合反应器厌氧－微氧串联系统治理味精废水效果,在进料ＣＯＤ浓度为２５．６ｇ／Ｌ条件下,其ＣＯＤ处理能力达３．９ｋｇ／ｄｍ３,ＣＯＤ去除率达９７％．     

草浆蒸煮废液处理新工艺的研究

本研究采用酸析木质素、电化学法及生物处理相结合的草浆蒸煮废液处理新工艺。废液ｐＨ３．０时，大部分木质素酸析沉降，ＣＯＤＣｒ去除率５２．９％。酸析木质素后的废液采用铁作牺牲阳极，石墨作阴极的电化学处理法，废液中Ｓ２－的去除率达８２．６％，Ｆｅ３＋浓度达３１．６ｍｇＬ－１。后续处理采用活性污泥法，利用废液中Ｆｅ３＋对生物反应过程的特殊刺激作用和絮凝作用，强化生物处理，出水水质：ＣＯＤｃｒ２９１ｍｇ·Ｌ－１，ＢＯＤ２９４ｍｇ·Ｌ－１，ＳＳ２３ｍｇ·Ｌ－１。     

光合细菌降解3种有机废水的试验研究

选用从有机废水中分离出的７株光合细菌菌株，并用于处理豆制品、淀粉、肉制品废水。研究试验表明：①经对ＣＯＤ＿（Ｃｒ）＝５２８００ｍｇ／Ｌ的豆制品废水进行１４４ｈ的处理，去除率达９２．７％；②经对ＣＯＤ＿（Ｃｒ）＝３８６４ｍｇ／Ｌ的淀粉废水进行７２ｈ处理，去除率达９９．５％；③经对ＣＯＤ＿（Ｃｒ）＝５０ｌ０ｍｇ／Ｌ的肉制品废水进行７２ｈ处理，去除率达９３％。另通过光合细菌菌株对不同浓度不同性质的废水处理比较、单菌株与混合菌株的比较；时间、ｐＨ值、接种量等因素对处理的影响比较，均得到了今人满意的处理试验结果。     

抗坏血酸在钼蓝法测定微量SiO2中的应用

研究了以抗坏血酸为还原剂，用光度法测定碳化硅超细粉中微量ＳｉＯ２的方法，结果表明，最大吸收波长为８００ｎｍ，表观摩尔吸光系数为２．５０＊１０＾４Ｌ／（ｍｏｌ．ｃｍ），线性范围为０．０５－０．０７ｍｇ／Ｌ，平均回收率为９９．３２％，ＲＳＤ为１．６７％，该法适用于碳化硅超细粉中微量ＳｉＯ２的测定。     

CaCl2溶液对小麦苗超氧物歧化酶的影响

ＣａＣｌ２溶液能提高小麦苗的ＳＯＤ活性，尤其以２０ｍｇ／Ｌ、５０ｍｇ／Ｌ溶液最为有效。最佳处理次数与所用浓度有关，较低浓度溶液（２０ｍｇ／Ｌ）处理５次，较高浓度溶液（５０ｍｇ／Ｌ、１００ｍｇ／Ｌ）处理１次。浇根和喷叶一样也能提高ＳＯＤ活性。ＣａＣｌ２溶液喷洒麦苗使ＳＯＤ同工酶出现新的谱带。     

RP—HPLC法测定葛根芩连胶囊中盐酸小檗碱的含量

用ＲＰ－ＨＰＬＣ法测定葛根芩连胶囊中盐酸小檗碱的含量。采用Ｓｈｉｍａｄｚｕ ＶＰ－ＯＤＳ柱，乙腈－０．０６ｍｏｌ／Ｌ ＫＨ２ＰＯ４－ＳＤＳ（２５０：３００：３．３ｇ）为流动相，检测波长３４７ｎｍ。方法准确可靠，快捷方便，回收率为９９．６０％，ＲＳＤ为１．０６％。     

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.