一株耐盐柴油降解菌的分离鉴定及其降解性能

从某油田附近受石油污染土壤中分离出一株以柴油为惟一碳源的耐盐菌株LS1。通过对菌株的生理生化特性、菌体的形态观察及16S r DNA基因序列分析鉴定菌株LS1为假单胞菌属(pseudomonas)。该菌株可耐受的最高盐度(Na Cl)和柴油浓度分别为6%~8%和12 000 mg/L。菌株生长的适宜p H和温度条件分别为6.0~8.0和28~36℃。在盐度为6%、p H为7.0、温度为32℃、菌种投加量为10%的条件下,初始浓度为3 000 mg/L的柴油经6 d降解后,去除率可达78.3%,加入适量外加碳源葡萄糖和蔗糖,可使降解率分别提高至92%和90%左右。菌株LS1的耐盐机理可能是通过在细胞内积累甜菜碱以调节菌株细胞内外渗透压平衡。投加甜菜碱可提高耐盐菌LS1在高盐环境下对柴油的降解效率。     

城市污泥模拟堆肥过程中高温菌群的筛选、鉴定及降解效果

在城市污泥模拟堆肥过程的高温期通过平板培养法筛选出一组强化菌群.该组菌群不但可以分解污泥有机质,还可以分解淀粉、蛋白质、油脂、纤维素等大分子有机物.经鉴定,筛选出的菌种分别为地衣芽孢杆菌(B.licheniformis)、短小芽孢杆菌(B.pumilus)、高温放线菌(Thermoactinomyces)、凝结芽孢杆菌(B.coagulans)、枯草芽孢杆菌(B.subtilis);将菌株两两接种到平板,发现各菌株间可以共存.将上述菌种混合后添加到堆肥样品中,其有机质去除率、脱氢酶增加率、比耗氧速率SOUR增加率均高出不加菌样品40%以上,表明该组菌群具有使堆肥腐熟进程加快的应用潜力.     

电磁兼容测量结果可追溯性技术探讨

无线电波因其具有较强的方向性和反射性等传播特点,往往会引起电磁兼容测量结果的不稳定甚至有较大的偏差,如果不对测量过程中的测量和试验布置、试品的工况、记录报告等要素进行可追溯性分析和控制,势必会造成测量结果的随意和不确定性.因此在电磁兼容测量实验室,非常有必要对测量过程和测量结果进行可追溯性研究、分析和控制,一是提供准确可再现的测量数据,对客户负责,二是通过可追溯性控制,再现试验和测量过程,验证测量结果,对实验室的风险进行预见和预防.本文主要立求通过实际案例的分析,畅述和分析在电磁兼容测量实验室如何建立可追溯性的控制体系.     

某木材加工企业安全评价中的危险因素辨识

木材加工生产中危险有害因素较多,发生人员伤害事故的风险比较高. 用安全系统的理论和方法,以某木材加工企业生产过程为研究对象,通过危险有害因素辨识,对造成人员伤害的危险事件发生的可能性和导致伤害后果的严重程度进行了分析,为提出相应的安全对策措施提供了依据.     

人误因素树构建技术研究

运用人误因素辨识多视图法进行因素辨识,建立了详细的因素辨识表;把人的行为分为5个阶段,即系统状态监测阶段,目标分析阶段,方案确定阶段和行为执行阶段.分别分析各个阶段可能的人误原因及模式;以组织视图为例,根据因素辨识和人误原因及模式分析结果,阐述人误因素树的构建过程,最终得到了1个完整的人误因素树.     

我国危险废物特性鉴别技术体系研究

详细深入地调查分析了国外危险废物鉴别技术体系的特点和适用条件,以及我国危险废物管理的特点.在借鉴国内外经验与教训的基础上,提出了我国危险废物特性鉴别的技术路线及危险废物鉴别的环境保护目标,建立了危险废物鉴别技术的方法学.在充分研究的基础上,编制完成了全新的<国家危险废物名录>和<危险废物鉴别标准>,以及相应的规范和方法标准.这些技术文件形成了我国独特、完整的危险废物鉴别技术体系,为全面开展危险废物无害化管理提供了有力的技术支持.      

安全风险分级防控在油气开发领域的探索与应用

为推动油气开发领域安全风险分级防控有效落地,提高风险预控能力,本文基于风险防控现状评估结果,探索性地研究安全风险分级防控思路,构建了油气开发领域安全风险分级防控体系推进模型,提出了逆向与正向危害因素识别方法,明确了风险评价关键隐性过程原则,构建了风险-后果-能资分级防控决断模型。选取典型试点单位进行实践,结果证明,油气开发领域安全风险分级防控体系推进模型是科学合理的,其他领域也可借鉴该模型开展安全风险分级防控工作。     

新型冠状病毒肺炎疫情期间企业生产安全风险管理

本文在分析新型冠状病毒肺炎疫情期间企业安全风险特点的基础上,建立了疫情期间安全风险管理模型,分析了这一特殊时期企业外部变化,以及企业内部人、物、环境、管理变化带来特殊安全风险,提出了针对性的风险管控措施。     

For the sake of my family: Understanding unethical pro-family behavior in the workplace

Unethical behaviors are prevalent and costly in organizations, and much recent research attention has been paid to different forms of workplace unethical behaviors. We contend that the extant research has overlooked an important form of workplace-related unethical behaviors: unethical behaviors that are conducted to benefit one's family but which violate societal and organizational moral rules, a construct we label as “unethical pro-family behavior” (UPFB). Our paper systematically conceptualizes UPFB and develops a scale for it. Drawing upon social cognitive theory, we argue that employees with stronger family financial pressure are more likely to employ moral disengagement mechanisms to deactivate moral self-regulation, resulting in higher levels of UPFB. Additionally, we argue that the proposed relationship is more pronounced when employees have high family motivation but is mitigated when employees have high organizational identification. Two studies are conducted for this paper. In Study 1 (N = 328 for Sample 1; N = 243 for Sample 2; N = 279 for Sample 3; N = 267 for Sample 4), we demonstrate that our UPFB scale has good construct validity and that our construct is differentiable from relevant constructs. In two time-lagged survey samples in Study 2 (N = 255 for Sample 1; N = 233 for Sample 2), we find support for our hypotheses. Theoretical and practical implications, limitations, and future directions are discussed.     

Risk assessment and risk reduction of an acrylonitrile production plant

Reducing accident occurrence in petrochemical plants is crucial, thus appropriately allocating management resources to safety investment is a vital issue for corporate management as international competition intensifies. Understanding the priority of safety investment in a rational way helps achieve this objective.In this study, we targeted an acrylonitrile plant. First, Dow Chemical's Fire and Explosion Index (F&EI) identified the reaction process as having the greatest physical risk. We evaluated the severity of accidents in the reaction process using the Process Safety Metrics advocated by the Center for Chemical Process Safety (CCPS); however, this index does not express damages a company actually experience. To solve this problem, we proposed a new metric that adds indirect cost to CCPS metrics. We adopted fault tree analysis (FTA) as a risk assessment method. In identifying top events and basic events, we attempted to improve the completeness of risk identification by considering accidents from the past, actual plant operation and equipment characteristics, natural disasters, and cyber-attacks and terrorist attacks. Consequently, we identified the top events with high priority in handling because of serious accidents as fire/explosion outside the reactor, fire/explosion inside the reactor, and reactor destruction. The new CCPS evaluation index proposed in this study found that fire and explosion outside the reactor has the highest severity. We considered the creation of the fault tree (FT) diagram of the top event, estimating the occurrence probability, and identifying the risk reduction part and capital investment aimed at risk reduction. As an economically feasible selection method for risk reduction investment, using the difference in loss amounts before and after safety investments indicated investment priority.