灾后承接非政府组织援助系统工程的综合集成模式——以汶川8.0级地震为例

分析了承接非政府组织(NGO)援助复杂巨系统的框架结构、时空结构、运行结构及整体特性;提出了地震灾后承接援助系统工程的综合集成模式;分别就承接援建集成工程的运作模式和具体实施框架进行了讨论;就援建系统工程、迎建系统工程、应急组织系统工程和保障系统工程等具体实施工程做了细致的阐述。     

超声相控阵检测焊缝三维可视化

介绍超声相控阵扇形（s型）扫查法对焊缝实施全体积检测的优势：信号（色码幅度）实时显示,自动存储,特别是检测数据可三维（5D）显示,又可多视角观测,缺陷四定（定位、定性、定量、定级）更方便,符合国际权威法规ASME最新版（2011a）的有关要求。期盼UT人员能在日常焊缝检测中熟练运用相控阵三维可视化技术。     

TFM实时成像技术在缺陷检测中的应用

在压力容器的超声检测中,为解决传统相控阵（PA）二维成像存在缺陷图像畸变,难以准确定性等问题,采用1种基于全聚焦法（TFM）的实时超声成像技术,使用一维线阵和二维面阵分别对孔等典型实际缺陷进行扫查,获得缺陷的二维和三维图像,从定量角度对比分析2者的准确度。结果表明:该方法获得的三维图像测量误差在8%以内,具有更高的精确度和检出率,对于孔类缺陷的还原度更高,这对于缺陷检测与评估以及和特种设备的安全生产具有重要意义。     

闽江干流下游河段纳污能力的研究

建立闽江干流下游河段二维非稳态水质水量模型,根据2004年实测资料对模型中的水质参数进行率定;对各排污口进行概化,应用模型模拟出闽江干流下游河段浓度场,并得出排污口混合带长度与排污量的响应关系;根据概化排污口在限定混合带长度下的平均纳污能力扩展到有效纳污能力计算长度后得到整个水体的纳污能力。经计算,闽江干流下游河段对COD的纳污能力为58195t/a。     

GeoChip-based analysis of the microbial community functional structures in simultaneous desulfurization and denitrification process

The elemental sulfur （S^0） recover）, was evaluated in the presence of hi,ate in two development models of simultaneous desulfurization and denitrification （SDD） process. At the loading rates of 0.9 kg S/（m^3.day） for sulfide and 0.4 kg N/（m^3.day） for nitrate, SO conversion rate was 91.1% in denitrifying sulfide removal （DSR） model which was higher than in integrated simultaneous desulfurization and denitrification （ISDD） model （25.6%）. A comprehensive analysis of functional diversity, structure and metabolic potential of microbial communities was examined in two models by using functional gene array （GeoChip 2.0）. GeoChip data indicated that diversity indices, community structure, and abundance of functional genes were distinct between two models. Diversity indices （Simpson＇s diversity index （1/D） and Shannon-Weaver index （H′）） of all detected genes showed that with elevated infiuent loading rate, the functional diversity decreased in ISDD model but increased in DSR model. In contrast to ISDD model, the overall abundance of dsr genes was lower in DSR model, while some functional genes targeting from nitrate-reducing sulfide-oxidizingbacteria {NR-SOB）, such as Thiobacillus denitrficans, Sulfurimonas denitrificans, and Paracoccus pantotrophus were more abundant in DSR model which were highly associated with the change of SO conversion rate obtained in two models. The results obtained in this study provide additional insights into the microbial metabolic mechanisms involved in ISDD and DSR models, which in turn will improve the overall performance of SDD process.