水解酸化—好氧生物处理焦化废水的试验研究

对处理焦化废水的两种工艺的试验研究表明，采用水解酸化－好氧生物处理较单一好氧生物处理可取得良好的效果。水解酸化作为焦化废水的预处理比较适宜。当实际焦化废水进水CODcr浓度为2214mg/L，水解酸化停留时间12h，好氧曝气时间18h，间歇动态试验出水CODcr浓度为172mg/L时，CODcr的去除率达92．23％，满足污水综合排放标准（GB8978－95）的排放要求。     

水解酸化一二次完全混合法处理啤酒废水的研究

某啤酒公司采用先水解酸化再行二次完全混合法处理啤酒废水,实际运行效果是:流量1 000 t/d,40 t/h;水力停留8 h;一级氧化池温度在3 0 ℃以下;污泥指数小于100 mg/L可达最佳效果;即出水CODcr去除率97.67%;BOD5去除率99.44%;SS去除率90.03%;PH近中性,无色无味,达国家GB8978-<污水综合排放标准>一级标准.     

水解酸化一二次完全混合法处理啤酒废水的研究

某啤酒公司采用先水解酸化再行二次完全混合法处理啤酒废水，实际运行效果是：流量1000t／d，40t／h；水力停留8h；一级氧化池温度在30℃以下；污泥指数小于100mg／L可达最佳效果；即出水CODcr去除率97．67％；BOD5去除率99．44％；SS去除率90．03％；PH近中性，无色无味，达国家GB8978-《污水综合排放标准》一级标准．     

两种制革废水生化处理组合工艺的效能比较

 借助于实际工程的运行,比较了水解酸化与序批式活性污泥法(SBR)组合工艺(H-SBR)和接触氧化与SBR组合工艺(O-SBR)两套设施处理制革废水的效能。结果表明,接触氧化与SBR组合工艺能有效处理制革废水,在接触氧化HRT 24h、SBR曝气5-7h的条件下,COD和氨氮平均去除率可分别达到83%和74%,出水平均浓度分别为273和42mg/L。采用水解酸化与SBR的组合工艺对预处理后的制革废水进行处理,在水解酸化HRT 24h、SBR曝气5-7h的条件下,COD和氨氮平均去除率分别仅为70%和5%,虽然COD可降低到500mg/L以下,但氨氮高达163mg/L左右,且需配套臭气处理设施。     

SBR法处理模拟淀粉废水的工艺条件研究

采用序批式活性污泥法(SBR)处理模拟淀粉废水,研究缺氧时间、曝气时间、温度、进水负荷对处理效果的影响.结果表明,SBR法在室温下就能高效地处理淀粉废水.对于淀粉浓度≤1.0g·L-1、CODcr≤1115mg·L-1的废水,单用完全曝气SBR法就能得到很好的去除效果;随着浓度增大,则需要设置缺氧段,以促进淀粉被水解酸化成小分子有机酸,但缺氧段的设置对CODcr的去除不明显,曝气反应对CODcr的去除起主导作用.缺氧段的长短应由废水性质来决定.用SBR法处理淀粉废水具有较好抗负荷冲击能力和系统稳定性,在进水淀粉浓度高达6.0g·L-1、CODcr达6690mg·L-1时,淀粉去除率为97.3%,CODcr去除率为94.0%,经过1个多月的运行,废水中淀粉去除率和CODcr去除率均保持稳定.     

微电解厌氧SBR组合工艺处理化学制药废水

化学制药废水难以生化处理.采用微电解厌氧水解酸化可以使BOD/COD由0.125提高到0.644,可生化性能得到显著提高;同时考察了SBR工艺对预处理后废水的降解.结果表明：Fe/C比为30为最佳.SBR生化处理中,污泥负荷控制在0.5 kgCOD/kgMLSS·d左右,曝气6 h时COD去除率达85%,达到排放标准.     

两相厌氧-SBR法处理米粉厂废水工程实践

采用两相厌氧 - SBR法处理桂林市瓦窑米粉厂的生产废水 ,即在 SBR池前利用两相厌氧池进行预处理 ,减少 SBR池的有机负荷 ,节约投资 ,同时 SBR池不设污泥处理设施 ,占地面积仅 85 m2。一年多的实际运行情况表明 ,米粉厂生产废水经两相厌氧预处理后 ,BOD和 CODcr的去除率分别为 31.0 %和 5 3.0 % ,BOD和 CODcr分别降解到 5 87mg· L- 1 和 75 3mg· L- 1 ,BOD/ CODcr≈ 0 .78。经过 SBR池后 ,BOD和 CODcr分别降解到 2 4 .3mg· L- 1 和 77.1mg· L- 1 ,达到国家规定的《污水综合排放标准》(GB8978- 96 )的新改扩一级标准。     

水解酸化+两级SBR处理蛋白饲料生产废水

通过水解酸化和两级SBR工艺处理蛋白饲料生产废水的试验研究,确定了水解酸化反应器的最佳停留时间,探讨了两级SBR反应器中CODCr、NH3—N和DO的变化规律.实验结果表明,进水CODCr在1 654~213 2 mg/L、NH3—N在35~65 mg/L时,反应器处理效果稳定,出水CODCr在100mg/L以下,去除率在96%左右,NH3—N在5 mg/L以下,去除率在92%左右,出水水质达到了《淀粉工业水污染物排放标准》.     

水解酸化-好氧处理石油化工废水试验研究

试验采用水解酸化接好氧工艺处理石化废水 ,水解酸化池停留时间 1 5h ,后接 1 0h左右的好氧处理 ,COD去除率可以达到 90 %以上 ,BOD去除率达到 90 %以上 .通过考察水解酸化 -好氧系统对CODCr、BOD5的去除效果 ,分析了系统中COD、BOD去除情况 ,并分析了污泥具有良好絮凝沉降性能的原因     

低溶解氧条件下处理模拟城市污水的研究

采用SBR工艺,在低溶解氧条件下,对活性污泥处理污水的效果进行研究.实验结果表明,在溶解氧质量浓度稳定在DO=1 mg/L,进水0.5 h,兼氧搅拌0.5 h,曝气3 h时,达到最佳去除率.这时反应器出水的COD、氨氮和磷酸盐的平均质量浓度分别为48.46、7.65、0.42 mg/L,其去除率分别为82.73%、80.66%和92.18%.     

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.