2005～2013年《中国安全生产科学技术》文献计量学分析

利用万方数据库"期刊统计分析与评价系统"和中国知网"中国学术期刊文献评价统计分析系统",对2005~2013年间《中国安全生产科学技术》期刊的载文量、基金论文、网络传播、出版时滞、高频被引文献、被引及引文等情况,进行了检索分析及评价。结果表明《中国安全生产科学技术》期刊的载文量总体呈增长趋势,载文篇幅基本在5页;基金论文在40%左右;期刊的发表时滞为4~6个月;总被引频次和影响因子逐年提高,引文数量基本在10篇,总结出10篇高频被引文献。最后,根据所统计的文献计量学指标,提出了要加强组稿约稿,提升编审质量,加大信息技术的应用等改进建议。     

2000—2004年《中国安全科学学报》引文分析与研究

笔者根据文献计量学引文统计分析理论和方法,以《中国安全科学学报》为调查对象,统计了该刊2000—2004年5年间的载文量、引文数量、引用文献类型、引文语种、自引数量及年代分布等,对其统计结果进行汇总并计算出各项指标数值,各项统计结果为引文率为97.5%、篇均引文5.1条、期刊论文引用率45.1%、图书文献引用率41.4%,中文文献引用率86%,英文文献引用率13%,普赖斯指数是53.80%,自引率为6.49%。通过对各项统计结果的定量分析,对于《中国安全科学学报》的办刊质量、学术权威性及安全科技人员利用科技文献的规律及图书情报部门在安全科技文献资源建设等方面提出了一些看法。     

《中国学术期刊影响因子年报(2015版)》发布

正由清华大学中国学术期刊(光盘版)电子杂志社有限公司、中国科学文献计量评价研究中心编制出版的《中国学术期刊影响因子年报(自然科学与工程技术·2015版)》(下简称《年报2015版》)发布。《年报(2015版)》计量指标统计显示:《中国安全科学学报》复合总被引频次为8 104,复合影响因子为1.445,5年影响因子为1.818,他引影响因子为1.04,他引5年影响因子为1.534,即年指标为0.92,影响因子学科排序为3/21。其他指标如下:2014年载文量为388,可被引文献量为339,可被引文献比为0.87,基金论文比为0.88,引用半衰期为6.0,引用期刊数为667,被引半衰期为6.2,被引期刊数为1 118,他引总引比为0.84,互引指数为8/12,     

《中国学术期刊影响因子年报(2014版)》发布

<正>由清华大学中国学术期刊(光盘版)电子杂志社有限公司、中国科学文献计量评价研究中心编制出版的《中国学术期刊影响因子年报(自然科学与工程技术·2014版)》(下简称《年报2014版》)发布。《年报(2014版)》计量指标统计显示:《中国安全科学学报》复合总被引频次为6 600,复合影响因子为1.352,5年影响因子为1.649,他引影响因子为0.986,他引5年影响因子为1.399,即年指标为0.186,影响因子学科排序为4/20。其他指标如下:2013年载文量为374,可被引文献量为344,可被引文献比为0.95,基金论文比为0.84,引用半衰期为5.8,引用期刊数为672,被引半衰期为6.0,被引期     

《中国学术期刊影响因子年报(2015版)》发布

正由清华大学中国学术期刊(光盘版)电子杂志社有限公司、中国科学文献计量评价研究中心编制出版的《中国学术期刊影响因子年报(自然科学与工程技术·2015版)》(简称《年报2015版》)发布。《年报(2015版)》计量指标统计显示:《中国安全科学学报》复合总被引频次为8104,复合影响因子为1.445,5年影响因子为1.818,它引影响因子为1.04,他引5年影响因子为1.534,即年指标为0.92,影响因子学科排序为3/21。其他指标如下:2014年载文量为388,可被引文献量为339,可被     

《中国学术期刊影响因子年报(2014版)》发布

<正>由清华大学中国学术期刊(光盘版)电子杂志社有限公司、中国科学文献计量评价研究中心编制出版的《中国学术期刊影响因子年报(自然科学与工程技术·2014版)》(下简称《年报2014版》)发布。《年报(2014版)》计量指标统计显示:《中国安全科学学报》复合总被引频次为6 600,复合影响因子为1.352,5年影响因子为1.649,他引影响因子为0.986,他引5年影响因子为1.399,即年指标为0.186,影响因子学科排序为4/20。其他指标如下:2013年载文量为374,可被引文献量     

《中国安全科学学报》发表论文的统计与分析

通过对 (1994～ 1998)五年间《中国安全科学学报》的载文数量、作者、所属学科、引文以及基金对论文的资助情况的统计与分析 ,客观地对本刊近几年来发表的文章进行了评价 ,总结了我国安全科学技术领域的研究成果及学术价值 ,以期对本刊的发展方向及安全科学学科建设前景提出有益建议 ,同时也可供读者研讨与参考。     

CSCD发布2018年期刊引证指标

<正>中国科学引文数据库发布2018年期刊引证指标,《中国安全科学学报》基本数据如下:影响因子为0. 817 8,总被引频次为1 980,论文量为364,基金论文量为335,论文机构数为242,参考文献数为5 552,篇均参考文献数为15. 252 7,自引率为13. 06%,引用半衰期为5. 860 5,即年指数为0. 098 9,自被引率为36. 62%,被引半衰期为4. 939 7,H指数为6,特征因子为0. 000 850 109,论文影响力分值为0. 641 405。     

CSCD发布2018年期刊引证指标

<正>中国科学引文数据库发布2018年期刊引证指标,《中国安全科学学报》基本数据如下:影响因子为0. 817 8,总被引频次为1 980,论文量为364,基金论文量为335,论文机构数为242,参考文献数为5 552,篇均参考文献数为15. 252 7,自引率为13. 06%,引用半衰期为5. 860 5,即年指数为0. 098 9,自被引率为36. 62%,被引半衰期为4. 939 7,H指数为6,特征因子为0. 000 850 109,论文影响力分值为0. 641 405。     

《中国安全科学学报》再次被收录为中国科技核心期刊

<正>《2014年版中国科技期刊引证报告(核心版)》以"中国科技论文与引文数据库"(CSTPCD)为基础,在各学科领域中选择学术质量较高、影响较大的重要期刊作为来源期刊,即"中国科技核心期刊"。报告汇集了24项科学计量指标,同时对期刊的学科分类设置进行了调整和复分。对一部分交叉学科和跨学科期刊复分入2个或3个学科分类。《中国安全科学学报》再次被收录为中国科技核心期刊,同时,《中国科技期刊引证报告(核心版)》显示,2013年《学报》的主要指标如下:核心总被引频次为2 074,     

饮食业油烟道火灾的模糊事件树分析

对饮食业油烟道火灾事故进行事件树分析时,历史数据的缺乏常常导致无法进行事件序列的定量计算.针对这一问题,利用专家对事故的模糊评判,引入模糊事件树进行定量计算研究.在模糊集理论的基础上,结合德尔菲法和判断矩阵法, 将模糊性语言转换为三角模糊数或梯形模糊数,应用模糊数截集以及模糊数清晰化方法,对后果事件发生概率进行计算.研究表明,饮食业油烟道火灾事故概率的模糊事件树分析是切实可行的,有助对饮食业油烟道火灾的认识、预防和扑救工作.     

基于浓度敏感性分析的甲烷机理简化

随着数值模拟技术的发展,化学反应机理开始应用于燃烧过程的重构和深入分析。详细机理是通过大量的实验研究得到的,其包含了大量的化学反应动力学信息,可以较为完备的描述化学反应过程,但是由于详细机理过于庞大一般不能直接运用到数值模拟中去,很有必要在研究特定问题时对详细机理进行一定的简化。介绍了PCAS机理简化方法,并运用该方法对甲烷燃烧的详细机理进行了简化研究,通过简化得到的101步简化机理与详细机理吻合较好。     

Failure mode and effect analysis using regret theory and PROMETHEE under linguistic neutrosophic context

Failure mode and effect analysis (FMEA), which aims to identify and assess potential failure modes in a system, has been widely utilized in diverse areas for improving and enhancing the performance of systems due to it is a powerful and useful risk and reliability assessment instrument. However, the conventional FMEA approach has been suffered several criticisms for it has some shortcomings, such as unable to handle ambiguous and uncertain information, neglect the relative weights of risk criteria, and without considering the psychological behaviors of decision-makers. To ameliorate these limitations, this paper aims at establishing a hybrid risk ranking model of FMEA via combing linguistic neutrosophic numbers, regret theory, and PROMETHEE (Preference ranking organization method for enrichment evaluation) approach. In the presented model, linguistic neutrosophic numbers are adopted to capture decision-makers’ evaluation regarding the failure modes on each risk criterion. A modified PROMETHEE approach based on regret theory is presented to obtain the risk priority of failure modes considering the psychological behaviors of decision-makers. Moreover, a maximizing deviation model and TOPSIS (Technique for order preference similar to ideal solution) are separately applied to derive the weights of risk criteria and decision-makers. Finally, a numerical example relating to the supercritical water gasification system is employed to implement the presented method, and the effectiveness and feasibility of the proposed model are validated by the results derived from a sensitivity and comparison analysis.     

某焦化企业苯加工系统危险分析

介绍了某焦化企业苯加工系统危险分析的步骤、过程,所解决的技术问题及分析结果,可作为其它焦化企业相关系统进行危险分析时参考。     

System failure probability evaluation using fault tree analysis and expert opinions in intuitionistic fuzzy environment

In quantitative fault tree analysis of a system, exact failure probability values of components are utilized to calculate the failure probability of the system. However, in many real world problems, it is problematic to get precise and sufficient failure data of system components due to insufficient or imprecise information about components, changing environment or new components. A methodology has already been developed by employing fuzzy set theory for the system reliability evaluation by utilizing qualitative failure data of system components when quantitative failure data of components are inaccessible or insufficient. This paper extends the concept of fuzzy set to intuitionistic fuzzy set and proposes a novel approach to evaluate system failure probability using intuitionistic fuzzy fault tree analysis with qualitative failure data of system components. The qualitative failure data such as expert opinions are collected as linguistic terms. These linguistic terms are then quantified by triangular intuitionistic fuzzy numbers in form of membership function and non-membership function. Additionally, a method is developed for combining the different opinions of experts. To illustrate the applicability of proposed approach, a case study of the crude oil tank fire and explosion accident is performed. The obtained results are very close to the results from pre-existing approaches which confirm that the proposed approach is a more realistic alternative for the study of system reliability in intuitionistic fuzzy environment when quantitative failure data of system components are not known. To help decision makers for improving the security execution of the crude oil tank system, importance measures including Fussell-Vesely importance and cut sets importance are also executed.     

The role of people and human factors in performing process hazard analysis and layers of protection analysis

Process hazard analysis (PHA) and Layers of Protection Analysis (LOPA) studies address human failures in operating and maintaining processes and the human factors that influence them, amongst other types of failures. People perform PHA and LOPA studies and, therefore, such studies themselves are subject to various possible human failures. Much less attention has been paid to the human factors that influence the performance of PHA and LOPA studies than human factors that influence hazard scenarios. Human failures in the performance of PHA and LOPA studies should be of significant concern to practitioners as such studies are difficult and time-consuming activities that place significant demands on participants, which increases the chance that errors will be made. Human factors such as willingness to rely on the unsubstantiated opinions of others, groupthink, underestimation of the frequencies of low-probability, high-consequence events, and allowing a false sense of accomplishment to distract from implementing study results must be recognized and addressed.This paper identifies and discusses various human factor issues that can influence the quality of PHA and LOPA studies covering preparing for, conducting, recording, documenting, and following-up on studies. Guidelines are provided to help minimize the extent to which these human factor issues may impair study quality.     

Fuzzy AHP approach to selection problems in process engineering involving quantitative and qualitative aspects

Selection problems are common in process engineering. In most cases, it is necessary to rank alternatives based on multiple criteria (e.g., cost, safety, environmental impact), which are often conflicting. In addition, some criteria may be fundamentally difficult to quantify due to data scarcity, in which case subjective assessments need to be used as a proxy. Decision analysis tools such as the analytic hierarchy process (AHP) are useful to ensure decision-making is done rationally. In this work, we propose a fuzzy AHP variant, wherein pairwise comparison of decision elements by domain experts is expressed with triangular fuzzy numbers. This approach allows the degree of confidence of the expert to be quantified explicitly; it also allows inconsistencies in judgment to be reconciled within the bounds of the fuzzy numbers to generate reasonable values for the weighting factors. We demonstrate the methodology on three case studies, involving the comparison of different types of chlor-alkali electrolytic cells, CO₂ capture techniques in cement plants and wastewater treatment options for municipal wastewater.     

黑龙江省城市生态系统的生态安全研究

城市作为人口高度聚集的人工生态系统,其安全具有脆弱性.本文利用SPSS统计软件统计计算,从选取关键因子入手,采用因子分析方法和聚类分析方法,研究了黑龙江省12座城市生态系统的生态安全,通过因子得分和聚类分级结果得出结论:牡丹江排名第一位,生态安全程度较高;而作为黑龙江省中心城市的哈尔滨生态安全程度却较差,但提高潜力很大.通过分析,针对黑龙江省的实际状况,提出了有针对性的对策.     

长兴城市污水处理厂运行现状及存在问题

介绍了长兴城市污水处理厂运行现状,分析了污水处理中存在的问题,提出了要加强企业污水排放的管理,重视污泥处理和处置的方向,利用热电厂锅炉焚烧污泥的新技术以彻底解决填埋场地短缺和污泥二次污染的问题,并建议政府部门加快建立和完善污水排放、污泥处理处置的相关法律法规.     

基于GM(1,1) Markov的危化品道路运输事故与交通事故预测及关系研究

为准确预测我国危化品道路运输及交通2类事故数量趋势,探究其内在联系,在单一的灰色GM（1,1）模型基础上与马尔科夫过程组合形成灰色GM（1,1）—马尔科夫预测模型,以2013—2017年2类事故数量的原始序列探讨了该组合预测模型的实际应用,采取平均相对误差、均方差比值、小误差概率对模型进行精度检验。研究结果表明:在组合预测模型较优情况的研究中,2类事故数量历年来波动性相似,因危险化学品自身的性质、包装和装卸使得2类事故量变化频率存在偏差;2018—2019年的危化品道路运输事故分别为485起和480起,交通事故分别为225 294起和234 454起。