鄂州市蔬菜地土壤重金属污染评价

为了解鄂州市蔬菜地重金属的污染状况,对鄂州市蔬菜地土壤进行采样,并对其重金属铜、铅、镉、铬、汞、砷含量进行测定。利用单项污染指数法和内梅罗综合污染指数法对其进行分析和评价,其中土壤重金属元素单因子污染指数(Pi)由大到小的顺序为:铜(Cu)>汞(Hg)>铬(Cr)>砷(As)>铅(Pb)>镉(Cd)。其中铜、汞、铬、砷属于中度污染,铅、镉处于警戒线中。内梅罗综合污染指数法表明鄂州蔬菜地土壤整体受到了轻度的重金属污染.     

关于玉米发酵酒精废水处理技术综述

本文介绍了各种适用于酒精废水的厌氧和好氧生物处理技术,及国内研究或投入运行的各类厌氧+好氧组合工艺,供同类企业废水处理参考。     

玉米发酵酒精废水处理工艺的选择

企业根据酒精废水特点及排放标准的要求,结合厂内场地和现有设施情况,确定采取UASB+水解酸化+接触氧化+化学氧化的组合处理工艺,以保证废水达标排放。     

单一及复合重金属污染对土壤酶活性的影响

采用外源添加重金属和室内培养的方法研究重金属Cd、Pb对滩涂盐渍土脲酶、过氧化氢酶活性的影响,为中国沿海地区土壤重金属污染的监测及重金属对潜在生态环境影响等方面的研究提供参考依据。重金属Cd添加至土壤的质量分数为0、0.5、1.0、2.0 mg.kg-1,重金属Pb添加至土壤的质量分数为0、100、200、400 mg.kg-1,采用完全随机区组设计,3次重复。结果表明：重金属质量分数较低时,单一重金属对土壤脲酶活性具有促进,对过氧化氢酶活性具有抑制作用;重金属质量分数较高时,对土壤脲酶活性具有抑制作用,对土壤过氧化氢酶具有促进作用。重金属Cd、Pb对土壤酶活性的影响存在交互作用,重金属Cd对土壤脲酶活的性影响起主导作用,重金属Pb对土壤过氧化氢酶活性的影响起主导作用。经逐步回归分析,有效态重金属的质量分数低水平时,土壤脲酶活性与重金属Cd呈现显著负相关;土壤过氧化氢酶活性与重金属Pb呈现显著正相关。     

黑岱沟露天矿排土场不同植被配置土壤水分研究——土壤水分垂直动态研究

文章通过黑岱沟露天煤矿排土场不同植被配置土壤水分垂直动态研究,阐述了不同植被配置类型对土壤水分的影响。结果显示：9种植被配置类型的土壤台水量随土层深度的增加而减小,但变化幅度有差异;原生植被处的土壤水分利用层厚度大于人工植被。     

Quantitative indicator of homeostatic risk perception in car following

Driving behavior is largely affected by the risk perception of drivers. On the basis of risk homeostasis theory, we regard that drivers may adjust car movement according to the perceived risks fluctuating around a target level. However, the manner by which risk perception is quantified remains unclear. We propose assumptions on the quantitative indicators of risk perception and identify a suitable quantitative indicator of risk perception in car-following process. Three risk indicators are discussed, i.e. time-to-collision (TTC), time headway (TH), and safety margin (SM). Using homeostatic features as bases, we found that SM more suitably quantifies homeostatic risk perception than TTC or TH does. Data collected from video drive recorders installed in taxis operating in Beijing are used to analyze the target risk level of SM (desired SM, or DSM) of professional drivers during the car-following process. The data collected by Ahn et al. (2004) to verify Newell’s model are converted into DSM data to further analyze the target risk level of general drivers. The DSM histogram of professional drivers shows that the standard deviation of the DSM value is 0.115, with a mean value of 0.862 and a total distribution close to the normal distribution. For a general driver, the mean value of DSM is 0.896, which is higher than that of professional drivers. This research may shed lights on the understanding of driving behavior.     

Research and application of risk and condition based maintenance task optimization technology in an oil transfer station

Oil transfer stations of PetroChina mostly scatter in Gobi, mountain areas or other sparsely populated areas, inconvenient transportation and absent professional engineers often delay the best time to repair the machines. Time-or interval-based maintenance (TBM) accounts for almost 100%, while, On-condition maintenance and other proactive maintenance are seldom adopted. TBM not only can't prevent happens of equipment fault but also cause the waste of the maintenance resource. In order to allocate maintenance resources reasonably, ascertain the minimum preventive maintenance requirement, ensure the reliability, availability and safety, this paper carries out a research on Risk and Condition Based Maintenance (RCBM) task optimization technology. Utilizing the internet of things (IOT), real-time database, signal-processing, Gray Neural Network, probability statistical analysis and service oriented architecture (SOA) technology, a Risk and Condition Based Indicator Decision-making System (RCBIDS) is built. RCBIDS integrates RCM, condition monitoring system (CMS), key performance management module, file management module, fault and defect management module, maintenance management module together, which aims to realize remote condition monitoring, maintenance technical support services (TSS), quantitative maintenance decision-making, and to ensure the Reliability, Availability, Maintainability and Safety (RAMS). The Predictive Maintenance Indicator model, reliability prediction model and Key Performance Indicator (KPI) model, which are embedded in the RCBIDS, are constructed separately. An engineering case shows that the risk and condition based maintenance task optimization technology can be used to optimize maintenance content and maintenance period, to minimize maintenance deficiencies and maintenance surplus, and to prolong the lifespan of equipment.     

无硫膨胀石墨的制备及吸油性能

通过单因子实验考察了无硫膨胀石墨制备过程中氧化剂及插层剂用量、氧化反应及插层反应时间、氧化反应及插层反应温度对无硫膨胀石墨膨胀体积的影响。通过正交实验确定了制备无硫膨胀石墨的最优条件是:石墨(g)∶浓硝酸(mL)∶30%H2O2(mL)∶乙酸酐(mL)=1∶2.25∶0.25∶0.6,在30℃条件下氧化反应60 min,加入插层剂后在60℃条件下插层反应90 min,此条件无硫膨胀石墨的膨胀体积达317 mL/g使用XPS、FT-IR、XRD和SEM对无硫膨胀石墨进行了表征并对其吸油性能和再生性能进行了研究。结果表明,所制备无硫膨胀石墨对原油和柴油的最大吸附量分别为66.3 g/g和62.7 g/g。吸附原油后的无硫膨胀石墨抽滤再生后首次再生率为49.1%,原油的回收率为64.5%。     

用改性活性碳纤维去除CO2原料气中的H2S

采用固定床动态吸附实验，用改性活性碳纤维（ACF）吸附去除CO2原料气中的H2S。通过改变改性剂种类、反应温度和原料气中CO2浓度，找出用改性ACF去除CO2原料气中H2S的规律。实验结果表明：常温下，可用NaON改性的ACF来消除CO2的酸性对去除H2S的不利影响；随着反应温度的升高，CO2与ACF形成的C（O＊）中间产物增多，CO2的存在有利于改性ACF去除H2S；而当反应温度过高时，CO2与ACF形成的C（O＊）中间产物发生分解，导致ACF碳化，不利于H2S的吸附去除。     

无线数据传输技术在列车安全监控系统中的应用

笔者将GSM网的无线数据传输技术成功应用到列车安全监控系统中 ,系统监测数据经转储发送系统中转 ,由移动台系统实时、无线传输到基站微机系统 ,通过VC ++语言编制的软件系统实时统计分析数据 ,来监控列车运行状况 ,达到列车安全运行的目标。在列车安全监控系统中 ,不仅实现了数据无线实时传输 ,而且提高了工作效率和减轻了工作强度。在济南铁路局装车试验并广泛使用 ,表明了无线数据传输技术应用到列车安全监控系统中具有较高的可靠性和实用性