聚甲亚胺酰胺树脂对水中Cu~(2+)的吸附

制备了聚甲亚胺酰胺树脂,对其进行傅里叶变换红外光谱分析。采用批处理方法实验了pH、铜离子初始浓度、吸附时间、吸附剂用量对吸附量的影响,研究了等温吸附模型和吸附动力学模型。优化后的吸附条件为:在铜离子溶液体积50 mL、初始浓度为300 mg/L、pH为6.0时,吸附剂投放量50 mg、吸附时间60 min,此时吸附量达到269.1 mg/g,去除率达89.7%。25℃时在研究浓度范围内,铜离子吸附过程用Langmuir等温线模型和Freundlich等温线模型描述均可;与准一级动力学方程、Elovich方程及内扩散方程相比,准二级动力学方程能更好地描述其吸附动力学过程。     

Tetra-detector size exclusion chromatography characterization of molecular and solution properties of soluble microbial polysaccharides from an anaerobic membrane bioreactor

Characterization of the molecular properties of soluble microbial products (SMP) is critical for understanding the membrane filtration and fouling mechanisms in anaerobic and aerobic membrane bioreactors (AnMBR & MBR). In this study, the distributions of the absolute molecular weight and intrinsic viscosity of SMP polysaccharides from an AnMBR were effectively determined by a high performance size exclusion chromatography (HPSEC) that was coupled with the refractive index (RI), diode array UV (DAUV), right and low angle light scattering (LS), and viscometer (Vis) detectors. Based on the tetra-detector HPSEC determined absolute molecular weights and intrinsic viscosity, a universal calibration relationship for the SMP polysaccharides was developed and the molecular conformations, average molecular weights, and hydrodynamic sizes of the SMP polysaccharides were also explored. Two factors which can be derived from the tetra-detector HPSEC analysis were proposed for the characterization of the viscous and osmotic pressure properties of the SMP polysaccharides. In addition, it was also extrapolated how to analyze the resistance characteristics of the concentration polarization layers formed in membrane filtration based on the molecular properties determined by the tetra-detector HPSEC analysis.

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The life cycle assessment of an e-waste treatment enterprise in China

Electrical and electronic waste (e-waste) has become one of the fastest growing waste streams in the world, and many countries have established e-waste treatment enterprises to solve their e-waste problems. In this study, a life cycle assessment (LCA) was undertaken to quantitatively investigate the environmental impacts of an e-waste treatment enterprise in China. The LCA is constructed by SimaPro software version 7.2 and expressed with the Eco-indicator 99 life cycle impact assessment method. For a sensitivity analysis of the overall LCA results, the so-called CML method is used in order to estimate the influence of the choice of the assessment method on the result. According to the survey data, discarded TV sets accounted for the highest proportion of e-waste treated in the enterprise in 2010. The e-waste treatment had little environmental impact, and at the same time large environmental benefits can be achieved mainly due to the recycled resources and reuse of some components. Based on the research results, it can be seen that recycled metal, especially copper, would be of more importance for environmental benefits. Relevant results and data from this study could provide decision support to enterprise managers and government sectors.     

激发剂作用下的盐石膏废渣的水化过程

运用Kondo模型,研究了在激发剂硫酸钠作用下盐石膏废渣的水化过程.盐石膏废渣的水化过程分为3个阶段,第1、第3阶段受扩散作用控制;第2阶段受相边界反应控制.分别研究了激发剂溶液浓度和温度对相边界反应阶段水化速率的影响,结果表明,在0—0.60 mol.L-1范围内,增大激发剂溶液浓度可使水化速率常数k增大,在12℃≤...     

南京地区污水厂、自来水厂及长江水域MCR-1和NDM-1携带菌耐药特征

为了研究以多粘菌素耐药基因(MCR-1)和新德里金属β-内酰胺酶-1基因(NDM-1)携带菌为代表的"超级细菌"在地表水中的环境行为,以长江南京段典型水域及邻近城市污水厂和自来水厂为研究对象,考察了MCR-1和NDM-1携带菌的耐药特性及其变化特征。结果发现,污水厂进水和生物处理单元2种细菌耐药能力均处于较高水平,随处理流程呈降低趋势,至消毒出水中不再被检出。长江中MCR-1携带菌耐粘菌素的半抑制浓度(EC50)较高,平均达37.89 mg·L-1,顺水流方向无显著降低。仅在下游朱家山河汇入口和长江大桥附近滨江公园检出较高耐药水平的NDM-1携带菌。2种细菌耐药水平受水体污染程度和人类活动影响较明显。自来水厂MCR-1携带菌数目较少,但其EC50平均可达32.75 mg·L~(-1),常规处理单元中未检出NDM-1携带菌。水处理工艺显著降低了细菌耐药水平,但排泥水中2种细菌均检出,且耐药水平相比进水显著提高。本研究可为评价水介质中超级抗性基因及其携带菌的环境风险提供参考。     

Life cycle assessment of TV sets in China: A case study of the impacts of CRT monitors

Along with the rapid increase in both production and use of TV sets in China, there is an increasing awareness of the environmental impacts related to the accelerating mass production, electricity use, and waste management of these sets. This paper aims to describe the application of life cycle assessment (LCA) to investigate the environmental performance of Chinese TV sets. An assessment of the TV set device (focusing on the Cathode Ray Tube (CRT) monitor) was carried out using a detailed modular LCA based on the international standards of the ISO 14040 series. The LCA was constructed using SimaPro software version 7.2 and expressed with the Eco-indicator' 99 life cycle impact assessment method. For a sensitivity analysis of the overall LCA results, the CML method was used in order to estimate the influence of the choice of the assessment method on the results. Life cycle inventory information was compiled by Ecoinvent 2.2 databases, combined with literature and field investigations on the current Chinese situation. The established LCA study shows that the use stage of such devices has the highest environmental impact, followed by the manufacturing stage. In the manufacturing stage, the CRT and the Printed Circuit Board (PCB) are those components contributing the most environmental impacts. During the use phase, the environmental impacts are due entirely to the methods of electricity generation used to run them, since no other aspects were taken into account for this phase. The final processing step-the end-of-life stage-can lead to a clear environmental benefit when the TV sets are processed through the formal dismantling enterprises in China.     

固城湖水环境污染状况与来源分析

对2001~2011年固城湖水环境污染状况评价与时空变化特征分析的基础上,探讨了固城湖的特征污染物及污染来源。结果表明,固城湖水质污染的主要超标因子为TN和TP;总体水质呈现先恶化再改善的趋势,污染由拦河网水域向小湖区水域扩散;固城湖湖体水质基本上劣于水环境功能区划要求;固城湖特征污染物为COD+M n、NH4-N、TN、TP、BOD 5;富营养化程度不断加重,之后又有所改善;氮磷污染的主要来源是水产养殖污染。     

转盘式光催化燃料电池处理染料废水

采用阳极氧化法制备转盘式TiO_2阳极,设计并开发了转盘式光催化燃料电池(PFC),探讨了圆盘转速对PFC中染料降解效果的影响。实验结果表明:随着圆盘转速的提高,污染物和光电界面反应产物的传质作用得以强化,罗丹明B降解率提高;在圆盘转速为1 600 r/min、反应时间为60 min的条件下,罗丹明B降解率达90.8%,是圆盘转速为0 r/min时的8.5倍;光电流也随着圆盘转速的提高而提高,但提高幅度远小于罗丹明B降解率的提高幅度;同时,加强传质作用后再外加电压对PFC催化降解性能的提高作用有限。     

Comparative lifecycle greenhouse gas emissions and their reduction potential for typical petrochemical enterprises in China

Petrochemical enterprises have become a major source of global greenhouse gas (GHG) emissions. Yet, due to the unavailability of basic data, there is still a lack of case studies to quantify GHG emissions and provide petrochemical enterprises with guidelines for implementing energy conservation and emission reduction strategies. Therefore, this study conducted a life cycle assessment (LCA) analysis to estimate the GHG emissions of four typical petrochemical enterprises in China, using first-hand data, to determine possible emission reduction measures. The analytical data revealed that Dushanzi Petrochemical (DSP) has the highest GHG emission intensity (1.17 tons CO₂e/ton), followed by Urumqi Petrochemical (UP) (1.08 tons CO₂e/ton), Dalian Petrochemical (DLP) (average 0.58 tons CO₂e/ton) and Karamay Petrochemical (KP) (average 0.50 tons CO₂e/ton) over the whole life cycle. At the same time, GHG emissions during fossil fuel combustion were the largest contributor to the whole life cycle, accounting for about 77.31%–94.27% of the total emissions. In the fossil-fuel combustion phase, DSP had the highest unit GHG emissions (1.20 tons CO₂e), followed by UP (0.89 tons CO₂e). In the industrial production phase, DLP had the highest unit GHG emissions (average 0.13 tons CO₂e/ton), followed by UP (0.10 tons CO₂e/ton). During the torch burning phase, torch burning under accident conditions was the main source of GHG emissions. It is worth noting that the CO₂ recovery stage has "negative value," indicating that it will bring some environmental benefits. Further scenario analysis shows that effective policies and advanced technologies can further reduce GHG emissions.     

Development and application of equipment maintenance and safety integrity management system

Equipment management in process industry in China essentially belongs to the traditional breakdown maintenance pattern, and the basic inspection/maintenance decision-making is weak. Equipment inspection/maintenance tasks are mainly based on the empirical or qualitative method, and it lacks identification and classification of critical equipment, so that maintenance resources can’t be reasonably allocated. Reliability, availability and safety of equipment are difficult to control and guarantee due to the existing maintenance deficiencies, maintenance surplus, potential danger and possible accidents. In order to ensure stable production and reduce operation cost, equipment maintenance and safety integrity management system (MSI) is established in this paper, which integrates ERP, MES, RBI, RCM, SIL and PMIS together. MSI can provide dynamic risk rank data, predictive maintenance data and RAM decision-making data, through which the personnel at all levels can grasp the risk state of equipment timely and accurately and optimize maintenance schedules to support the decision-making. The result of an engineering case shows that the system can improve reliability, availability, and safety, lower failure frequency, decrease failure consequences and make full use of maintenance resources, thus achieving the reasonable and positive result.