用Ti/SnO2-RuO2电极处理黑索金废水

利用刷涂法制备了Ti/SnO2-RuO2电极,并通过SEM、XRD等测试手段对其进行形貌及结构表征。利用该电极为阳极处理黑索金(RDX)废水,考察了电解质种类、电解质质量浓度、废水pH、电流密度以及电解时间等对RDX电催化氧化效果的影响。实验结果表明,当处理100 mL质量浓度为50 mg/L的RDX废水时,以Na2SO4为电解质、Na2SO4质量浓度为5.0 g/L、废水pH为7、电流密度为15 mA/cm2、电解时间为300 min的条件下,RDX去除率达到82.55%,COD去除率达到55.41%。     

Copper leaching of MSWI bottom ash co-disposed with refuse: Effect of short-term accelerated weathering

Co-disposal of refuse with municipal solid waste incinerator (MSWI) bottom ash (IBA) either multi-layered as landfill cover or mixed with refuse could pose additional risk to the environment because of enhanced leaching of heavy metals, especially Cu. This study applied short-term accelerated weathering to IBA, and monitored the mineralogical and chemical properties of IBA during the weathering process. Cu extractability of the weathered IBA was then evaluated using standard leaching protocols (i.e. SPLP and TCLP) and co-disposal leaching procedure. The results showed that weathering had little or no beneficial effect on Cu leaching in SPLP and TCLP, which can be explained by the adsorption and complexation of Cu with DOM. However, the Cu leaching of weathered IBA was reduced significantly when situated in fresh simulated landfill leachate. This was attributed to weakening Cu complexation with fulvic acid or hydrophilic fractions and/or intensifying Cu absorption to neoformed hydr(oxide) minerals in weathered IBA. The amount of total leaching Cu and Cu in free or labile complex fraction (the fraction with the highest mobility and bio-toxicity) of the 408-h weathered IBA were remarkably decreased by 86.3% and 97.6% in the 15-day co-disposal leaching test. Accelerated weathering of IBA may be an effective pretreatment method to decrease Cu leaching prior to its co-disposal with refuse.     

Structure and Properties of Cocoons and Silk Fibers Produced by Attacus atlas

Silk fibers in the three layers of Attacus atlas (A. atlas) cocoons have morphological structure and tensile properties similar to that of Bombyx mori silk. Attempts are being made to produce silk for commercial applications from cocoons of relatively unknown wild insects due to the unique properties of the fibers and as a source of income and employment. In this research, A. atlas cocoons were used to study the chemical composition, morphology, physical structure and tensile properties of the silk fibers in the cocoons and ability of the fibers to support the attachment and proliferation of mouse fibroblast cells. It was found that A. atlas cocoons consists of outer, intermediate and inner layer with average breaking tenacity of 4.1, 4.3 and 3.6 g/den, respectively similar to that of B. mori silk (4.3–5.2 g/den). The heavier cocoons, less restrictive rearing conditions and good properties of the fibers compared to B. mori silk makes A. atlas a potential alternative to common silks for commercial scale silk production. A. atlas fibers had about 80 % higher optical densities of cells and extensive growth of F-actin compared to B. mori silk fibers.     

大同市大气颗粒物及有机污染物的分析研究

对大同市不同功能区的可吸入尘（＜１０μｍ）浓度进行了测定,并探讨了可吸入尘与总悬沙颗粒物的相关比例。总悬浮颗粒物上二氯甲烷萃取物含量达２０％,对其中的有机污染物用ＧＣ／ＭＳＴ和ＨＰＬＣ进行了分析,鉴定出的主要有机污染物有苯系物及芳烃类化合物３８种,烷烃类化合物３１种,以及酚类,酮类,含氮化合物和增塑剂１４种,总计８３种。     

基于强度退化的震损加固型钢混凝土柱抗剪承载力分析

为了建立碳纤维布或外包钢套震损加固型钢混凝土柱的抗剪承载力计算式,基于碳纤维布或外包钢套加固型钢混凝土柱试验研究,分析了原柱材料的地震损伤以及混凝土受剪机理的差异,比较了不同抗剪模型建立的抗剪承载力计算值的差异性。经验证,计算值与其试验值吻合较好,说明基于强度退化的震损加固型钢混凝土柱抗剪承载力计算公式是可行的。基于GB50010-2010、ACI318-08和CSA-04三种不同抗剪模型建立的抗剪承载力计算值差异较大,说明震损加固柱中钢筋混凝土承担剪力的分析不容忽视。     

地铁运行引起建筑物振动的三维有限元分析

随着城市轨道交通的迅猛发展,大量建筑设施不可避免地受到周边铁路或地铁列车振动的影响。基于并行计算集群平台,建立了车辆-轨道-高架桥-基础-地基-建筑物耦合的大型三维有限元分析模型,得到了不同工况下列车运行引起地表及临近建筑结构的振动特征。主要结论如下:不同高度的建筑物在同一楼层的振级相差极小;随着车速的提高,建筑物各楼层的振级均呈逐渐增大趋势;此外,各楼层的振级随建筑物距高架桥距离的增大而逐渐减小。一般高度的建筑物各楼层的振级基本沿高度单调增加,顶层振级最大,而高层建筑物却有明显的拐点,在中间某层出现最大振级。建筑物各层楼板的竖直向振动峰值速度远大于水平向振动峰值。     

抗灾对大学生思想作风培养的启示

2008年初我国南方经受了抗击低温雨雪冰冻灾害的严峻考验，本文试从人的基本因素出发，分析了当代大学生特别是防灾减灾类大学生应从服务人民，迎难而上、勇于奉献，执行命令、遵纪守时、连续作战，艰苦奋斗、联系群众、密切协同，加强责任、刻苦钻研、开拓创新等方面培养优良的思想和作风，才能适应国家防灾减灾、抗灾救灾的需要，成为突发灾害事件中受到人民群众欢迎的力量。     

Phytoremediation of the polluted Waigang River and general survey on variation of phytoplankton population

The Waigang River, a major tributary of the Qinhuai River system, has suffered from long-standing pollution because of lack of management. Restoration was commenced in April 2006 to reduce pollutants and improve water quality. Four ecological areas and ten surface carriers were constructed for the culture of plants (mainly water hyacinth (Eichhornia crassipes) and ryegrass (Lolium perenne L.)) for phytoremediation. Chemical oxygen demand (COD), total suspended solids (TSS), total phosphorus, total nitrogen (TN), ammonia?Cnitrogen (NH₃?CN), water transparency, and variations in phytoplankton population were investigated to evaluate the effects of restoration. Over 36?months, TSS, COD, TN, and NH₃?CN levels decreased by 91.1, 55.3, 91.5, and 86.5?%, respectively. Transparency increased from 25?cm in 2006 to 165?cm in 2009. Improvements in water quality significantly enhanced the diversity of phytoplankton, which were harmed by pollution stress. Our results show that the water hyacinth and ryegrass cultured in the ecological areas and the surface carriers can be used to restore other heavily polluted rivers with conditions similar to those of the Waigang River, especially in the initial stages of restoration.     

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.