污泥掺烧对燃煤电厂痕量元素排放特性影响

采用EPAMethod29方法、冷原子吸收光谱法和电感耦合等离子体质谱法采集和分析一台超低排放燃煤机组污泥掺烧前后的原燃料、烟气和副产物样品中各痕量元素浓度,研究污泥掺烧对燃煤电厂痕量元素排放特性的影响.结果表明:污泥中富含Zn、Cu元素,浓度分别是煤样中的18.81倍和17.64倍.污泥掺烧使掺配后入炉煤中痕量元素含量普遍升高.污泥掺烧前后整个系统、锅炉系统和全流程大气污染控制设施的痕量元素质量平衡率均在可接受范围内.污泥掺烧对痕量元素的分布特征无明显影响,随粉煤灰排放是痕量元素的主要排放去向.通过烟囱排放到大气环境的痕量元素排放量占比很小,不超过0.43%.污泥掺烧前后SCR入口烟气中痕量元素除Hg外主要以颗粒态形式存在.污泥掺烧后各痕量元素在粉煤灰和底渣中的相对富集系数未显著改变.经过全流程大气污染控制设施协同控制后,污泥掺烧前后烟囱总排口痕量元素排放浓度分别为0～12.76,0～14.97μg/m³.污泥掺烧后痕量元素排放浓度均满足美国燃煤发电机组有害大气污染物排放标准、上海市燃煤耦合污泥电厂大气污染排放标准和生态环境部生活垃圾焚烧污染控制标准的限值要求....     

基于多态模糊BN的石化动设备故障概率定量风险评估

石化行业的压缩机、泵等动设备故障模式多样,故障概率的不确定性较大,常用的风险评估方法无法实现对石化行业动设备失效概率的定量评估,限制了设备安全管理的准确性和有效性.基于贝叶斯网络(BN)可定量计算复杂系统失效概率的特点,利用故障模式与影响分析(FMEA)方法获取动设备风险事件的因果关系,将其映射为BN,并利用BN中节点...     

气象因素对输变电线路电磁环境的影响

不考虑气象因素的输变电线路的电磁环境预测值与实际值之间有差距,探讨了温度、湿度、风等气象因素对输变电线路电磁环境的影响,并提出减缓措施。结果表明:温度上升,则电磁场强度及无线电干扰强度都会增强;高相对湿度下电磁场强度与湿度成正比,低湿度则无明显影响,湿度对无线电干扰的影响与线路电压有关;风使输电线发生偏移,改变空间电磁场强度。     

Targeted workplace incivility: The roles of belongingness,embarrassment, and power

Research to date has largely been unclear about whether a single perpetrator is sufficient to instigate the well‐documented negative consequences of workplace incivility. In the current research, we examine the extent to which perceived belongingness and embarrassment mediate the relationship between incivility from a single perpetrator and two important outcomes (job insecurity and somatic symptoms), and the extent to which the perpetrator's power moderates these relationships. Across two studies using different methods, we find that incidents of single perpetrator incivility are associated with target feelings of isolation and embarrassment, which in turn relate to targets' perceived job insecurity and somatic symptoms (Studies 1 and 2) both the same day and three days later (Study 2). Moreover, we find that perpetrator power moderates the relationship between incivility and embarrassment, such that targets are more embarrassed when the perpetrator is powerful. Implications for theory and practice are discussed. Copyright © 2017 John Wiley & Sons, Ltd.     

核电厂核事故应急疏散研究

根据我国法规、标准与美国核管委对核电厂核事故应急疏散的要求,考虑我国核电厂特殊的厂址条件与社会环境,分析核事故应急疏散的可行性。通过应急疏散行为研究、厂区的交通需求估计和路网分析,对不同情境,考虑核事故应急疏散的特殊问题,分别采用人工容量分析与宏观仿真模拟得到应急疏散时间。针对某核电厂,给出核事故应急疏散分析的一般步骤、方法与计算结果。对宏观仿真模型的主要参数进行灵敏度分析,找出影响应急疏散时间的主要因素,提出缩短应急疏散时间的针对性措施。     

电解法处理含镍废水及纯镍的回收

采用电解回收法处理Ni2+含量为2g/L的废水,在阴极回收纯镍。研究了电解电流、极距、NH4Cl浓度、pH值等因素对Ni2+去除率、槽压、阴极能耗的影响,得出最优工艺参数为:温度20℃,电解时间20min时、电解电流300mA,极距15mm,NH4Cl浓度5g/L,pH值8.0,该条件下Ni2+去除率为96.926%,槽压16.21V,阴极能耗22.418kW.h/kg,在阴极可得到沉积6.45μm厚的镍板。     

The boiling liquid expanding vapour explosion

The boiling liquid expanding vapour explosion (BLEVE) has existed for a long time and for most of this time it has been cloaked in mystery. Several theories have been put forward to explain this very energetic event but none have been proven. This paper describes a series of tests that have recently been conducted to study this phenomenon.

The study involved ASME code automotive propane tanks with nominal capacities of 400 litres. The tanks were exposed to a combination of pool and/or torch fires. These fire conditions led to thermal ruptures, and in some cases these ruptures resulted in BLEVEs. The variables in the tests were the pressure-relief valve setting, the tank wall thickness, and the fire condition.

In total, 30 tests have been conducted, of which 22 resulted in thermal ruptures. Of those tanks that ruptured, 11 resulted in what we call BLEVEs. In this paper, we have defined a BLEVE as the explosive release of expanding vapour and boiling liquid following a catastrophic tank failure. Non-BLEVEs involved tanks that ruptured but which only resulted in a prolonged jet release.

The objective of this study was to investigate why certain tank ruptures lead to a BLEVE rather than a more benign jet-type release. Data are presented to show how wall temperature, wall thickness, liquid temperature and fill level contribute to the BLEVE process.     

MODELS FOR WATER AND POWER SCHEDULING FOR THE CALIFORNIA STATE WATER PROJECT1

ABSTRACT: A large-scale simulation/optimization model provides schedules for operation of water and power for the California State Water Project (SWP). The SWP consists of a series of reservoirs linked by rivers, pumping plants, canals, tunnels, and generating plants and is operated by the California Department of Water Resources. The Department provides water to municipal and agricultural users, and manages its electrical loads and resources. The model, therefore, performs hydraulic and electrical computations leading to optimal operation of the entire system. It consists of hydraulic network programming components to meet the storage objectives at all the reservoirs, a linear programming component to determine the schedules at pumping and generating plants, an electrical network programming component to balance electrical loads and resources, and a number of other simulation components. It operates on yearly, weekly, and daily bases. It is primarily used for real-time operation of the SWP and can provide hourly detail schedules which are implemented by the SWP staff via a computerized system.     

DIFFERENTIAL ACCUMULATION OF SELENIUM AMONG AXIAL MUSCLE,REPRODUCTIVE AND LIVER TISSUES OF FOUR WARMWATER FISH SPECIES1

Bluegill (Lepotmis macrochirus), largemouth bass (Micropterus salmoides), white catfish (Ictalurus catus), and channel catfish (Ictalurus punctatus), collected from an electric power plant cooling reservoir and a municipal water supply reservoir near Roxboro, North Carolina, were analyzed for selenium concentrations in axial muscle, reproductive and liver tissues. Fishes from the municipal water reservoir had lower selenium concentrations (≤0.2-2.1 μg/g - wet weight) than found in the cooling reservoir fishes (1.6-70.0 μg/g - wet weight) but similar distributions of concentrations among the tissues was evident. Selenium was differentially accumulated, with higher concentrations in liver tissues (0.7-70.0 μg/g - wet weight), followed by female reproductive tissues (0.7-25.0 μg/g - wet weight), axial muscle tissues (≤0.2-23.0 μg/g - wet weight) and male reproductive tissues (0.2-7.2 μg/g - wet weight).