染色残液电化学处理碳素阴极材料性能比较

为实现染色残液的高效处理及废水回用,鉴于染色残液良好的导电性,选用电化学处理技术,以模拟活性红X-3B染色残液为研究对象,在钌铱形稳电极为阳极和合适的电解条件下,比较石墨板、石墨毡、炭毡、ACF（活性炭纤维毡）、碳纤维电极〔CFF（碳纤维布）、CFB（碳纤维刷）〕等碳素阴极材料的电化学处理效能.结果表明:碳素阴极材料可实现染色残液的完全脱色,活性红X-3B的降解过程符合一级反应动力学特征,其中CFF为阴极时COD_Cr去除率达到86.37%,一级动力学反应常数为0.010 3 min-1,是石墨毡（0.007 3 min-1）的1.4倍.相比于石墨板电极,CFB显示出优异的二电子氧还原和产H₂O₂能力,单位面积产H₂O₂的浓度为10.40 μmol/L,是石墨板（1.08 μmol/L）的9.7倍,产生的H₂O₂导致活性红X-3B的降解,30 min内实现完全脱色.循环伏安曲线表明,碳纤维电极（包括CFF和CFB）的析氧电位明显高于其他电极,可有效抑制析氧副反应,提高有机污染物降解过程中的电催化效率,有利于降低能耗.研究显示,碳纤维可作为阴极材料应用于电化学处理染色残液,具有良好的稳定性.      

Does job insecurity threaten who you are? Introducing a social identity perspective to explain well‐being and performance consequences of job insecurity

This paper introduces a social identity perspective to job insecurity research. Worrying about becoming jobless, we argue, is detrimental because it implies an anticipated membership of a negatively evaluated group—the group of unemployed people. Job insecurity hence threatens a person's social identity as an employed person. This in turn will affect well‐being and job performance. A three‐wave survey study amongst 377 British employees supports this perspective. Persons who felt higher levels of job insecurity were more likely to report a weaker social identity as an employed person. This effect was found to be stable over time and also held against a test of reverse causality. Furthermore, social identity as an employed person influenced well‐being and in‐role job performance and mediated the effect of job insecurity on these two variables over time. Different to the expectations, social identity as an employed person and organisational proactivity were not connected. The findings deliver interesting evidence for the role of social identity as an employed person in the relationships between job insecurity and its consequences. Theoretically, this perspective illustrates the individual and group‐related nature of job insecurity and offers a novel way of connecting work situations with individual well‐being, behaviour and attitudes. Copyright © 2017 John Wiley & Sons, Ltd.     

Pd-Ni/GC电极电化学还原水中三氯甲烷的研究

通过电沉积法在玻碳板(GC)电极上负载钯镍双金属,并利用正交实验对其进行循环伏安(CV)研究. CV结果表明,钯镍双金属比钯、镍单金属具有更大的氢吸附峰值,可以在- 500 mV(以Hg/Hg2SO4 为参比电极)左右获得- 24.83 mA的氢吸附峰.扫描电镜分析(SEM)表明,镍的加入改变了钯颗粒在GC表面的分布形态,钯镍双金属颗粒形貌明显不同于钯、镍单金属颗粒,钯镍双金属颗粒粒径介于钯、镍单金属颗粒粒径之间.实验考察了脱氯电流、脱氯时间对三氯甲烷去除率的影响.三氯甲烷的去除率随脱氯电流的增大而增大,随脱氯时间的延长而提高.在优化条件下制备的Pd-Ni/GC电极在0.5 mA、180 min的脱氯条件下对三氯甲烷的去除率为42.53%.可以推测,随着脱氯时间的继续延长,三氯甲烷去除率可得到进一步提高.     

塑料玩具中邻苯二甲酸酯类环境激素检测方法研究

文章建立了一种对塑料玩具中5种邻苯二甲酸酯类物质同时分离和检测的高效液相色谱分析法。以shim-pack VP-ODS(4.6mm×150mm,5μm)为分离柱;以甲醇-水(体积比:90:10)为流动相,流速:1.0mL/min,检测波长:230nm。该方法所测得的5种邻苯二甲酸酯类物质在0.5～1000mg/L内具有良好的线性,相关系数r=0.9996,检出限达0.34～0.96μg/L,平均回收率在93.00%～105.23%。在对样品提取和纯化的基础上,对塑料玩具中邻苯二甲酸酯类物质进行了分析,结果令人满意。     

电化学法测定化学需氧量的研究及应用动态

总结了近年来的电化学法测定化学需氧量的研究进展及在线自动监测领域的应用现状。介绍了电化学法快速、准确和低耗、无二次污染的特点,指出了电化学法是实现化学需氧量快速检测和在线自动监测的发展方向之一,具有广阔的应用前景和深入研究的价值。     

西部管道工程HSE一体化绩效管理应用研究

分析了我国管道工程项目HSE绩效管理存在问题,运用绩效管理理论,结合“PMT（业主）＋PMC（监理）＋EPC（施工总承包方）”一体化模式及西部管道工程,阐述了HSE一体化绩效管理体系的建立及应用情况。     

Performance evaluation of process industries resilience: Risk-based with a network approach

Risk management can be defined as coordinated activities to conduct and control an organization with consideration of risk. Recently, risk management strategies have been developed to change the approach to hazards and risks. Resilience as a safety management theory considers the technical and social aspects of systems simultaneously. Resilience in process industries, as a socio-technical system, has four aspects of early detection, error-tolerant design, flexibility, and recoverability. Meanwhile, process industries' resilience has three phases: avoidance, survival, and recovery, determining the transition between normal state, process upset event, and catastrophic event. There may be various technical and social failures such as regulatory and human or organizational items that can lead to upset or catastrophic events. In the avoidance phase, the upset event is predicted, and thus, the system remains in a normal state. For the survival phase, the system state is assumed to be an upset process event, and the system tries to survive through the unhealthy process conditions or remains in the same state, probably with low performance. In the recovery phase, the system is supposed to be catastrophic, and the emergency barriers are prioritized to show the severity of the consequences and response time, leading to a resumption of a normal state. Therefore, a resilience-based network can be designed for process industries to show its inherent dynamic transition in nature. In this study, network data envelopment analysis (DEA), as a mathematical model, is used to evaluate the relative efficiency of the process industries regarding a network transition approach based on the system's internal structure. First, a resilience-based network is designed to consist of three states of normal, upset, and catastrophic events. Then, the efficiency of each industrial department, which is defined as decision-making units (DMUs), is evaluated using network DEA. As a case study, a refinery that is considered a critical process industry is assessed. Using the proposed model shows the efficient and inefficient DMUs in each of three states of normal, upset, and catastrophic events of the process and the projection onto efficient frontiers. Besides calculating the network efficiency, the performance of each state is extracted to precisely differentiate between DMUs. The results of this study, which is one of the fewest cases in the area of performance evaluation of process industries with a network approach, indicated a robust viewpoint for monitoring and assessment of risks.     

基于DCD的“安全—发展”协同治理绩效评估框架探讨

党的十九大提出“统筹发展和安全”的要求,构建相应的“安全—发展”协同治理绩效评估体系成为迫在眉睫的任务。通过运用社会基本矛盾、社会主要矛盾、社会主要矛盾主要方面的理论原理,构建“发展—应急—满意度”(Development-Contingencies-Degree of Satisfaction,DCD)的三角形绩效分析框架,设立经济发展、安全责任制、科学管理、依法行政、公共服务、安全感等一级指标,探讨若干二级和三级指标,构建“安全—发展”协同治理绩效评估指标体系框架,为检验常态与应急态协同绩效治理水平提供尺度。     

Performance of a diesel engine with water emulsified diesel prepared with optimized process parameters

An attempt has been made to produce stable water–diesel emulsion with optimal formulation and process parameters and to evaluate the performance and emission characteristics of diesel engine using this stable water–diesel emulsion. A total of 54 samples were prepared with varying water/diesel ratio, surfactant amount and stirring speed and water separation was recorded after 24 and 48 hr of emulsification. The recorded data were used in artificial neural network (ANN)-particle swarm optimization (PSO) technique to find the optimal parameters to produce water–diesel emulsion for engine testing. The predicted optimal parameters were found as 20% water to diesel ratio, 0.9% surfactant and 2200 rpm of stirrer for a water separation of 14.33% in one day with a variation of 6.54% against the actual value of water separation. Water–diesel emulsion fuel exhibited similar fuel properties as base fuel. The peak cylinder gas pressure, peak pressure rise rate and peak heat release rate for water–diesel were found higher as compared to diesel at medium to full engine loads. The improved air-fuel mixing in water–diesel emulsion enhanced brake thermal efficiency (BTE) of engine. The absorption of heat by water droplets present in water–diesel emulsion led to reduced exhaust gas temperature (EGT). With water–diesel emulsion fuel, the mean carbon monoxide (CO), unburned hydrocarbon and oxides of nitrogen (NO_x) emissions reduced by 8.80, 39.60, and 26.11%, respectively as compared to diesel.     

二次电池电极材料环境影响计算系统

以生命周期评价理论为基础,建立了电极材料电化学性能与环境影响的内在量化关联关系分析方法。基于Java语言,设计和编写了二次电池电极材料环境影响综合计算系统,协调考虑了二次电池的循环特性、电化学特征等,实现了环境影响评价过程中对材料质量需求的便捷计算,进而实现了整个评价操作过程的综合化、软件化和信息化,提高了评价效率。选用LiFePO_4/C,LiFe_(0.98)Ti_(0.02)PO_4/C,LiFe_(0.98)Mn_(0.02)PO_4/C和FeF_3(H_2O)_3/C 4种正极材料基于此系统进行了实例应用。