危险化学品事故后果计算过程探讨

基于事故后果的风险评估方法是国内外进行安全评价和土地使用安全规划的基础方法之一。本文基于危险化学品种类和危险装置类型，对可能发生的事故情景和相应事故后果计算模型的选择方法进行了阐述，针对易燃、易爆、有毒危险化学品的事故后果计算过程进行了系统分析。最后对本文提出的事故后果分析方法进行了实例应用。本文的研究成果可为安全评价或土地使用安全规划等工作的开展提供必要的参考。     

基于演化博弈的危化品安全监管情景推演研究

针对危化品安全生产监管问题,基于演化博弈理论构建危化品安全监管演化博弈模型,并将危化品事故发生率引入模型,对比分析危化品企业与地方政府监管部门行为策略的演化稳定均衡。在此基础上进行情景推演模拟仿真,研究表明:危化品事故发生率,对危化品企业和地方政府监管部门的策略选择有显著影响,当危化品事故发生概率低于某一临界值时,危化品企业和监管部门都会疏忽安全投入和监管;地方政府承受危化品事故经济损失和信誉损失增大时,危化品安全监管系统演化呈现出周期性波动;引入上级政府惩罚机制情景下,当上级政府惩罚力度高于危化品企业未投入安全生产受到的处罚和地方政府安全监管成本时,其最终都选择安全投入和严格监管策略。研究结论为政府监管危化品安全生产提供新的思路和对策建议。     

STAMP模型在危化品道路运输事故分析中的应用研究

为保障危化品道路运输行车安全，基于STAMP模型构建危化品道路运输的分层安全控制结构，将安全问题看作是控制问题，并将系统工程思想融入事故预防中。在此基础上，引入沪昆高速湖南邵阳段“7.19”特别重大道路交通危化品爆燃事故并对其进行实证分析，从物理层、基础层、运营层及监管层动态分析导致事故发生的控制缺失。结果表明:基于STAMP模型的安全分析方法不仅可考虑由组件失效引起的事故，还可发现组件之间的组织问题及决策背景，并对事故致因做出更为详细的解释，为类似事故的分析和预防提供思路与参考。     

基于案例比较的我国生产安全事故系统性风险实证研究*

为开展生产安全事故系统性风险实证研究,从风险治理角度提出单位国内生产总值生产安全事故死亡率、工矿商贸就业人员10万人生产安全事故死亡率、生产安全事故致死率和重特大事故死亡人数占比4项指标,采用秩和比法构造相对安全风险指数(SRI),并以江苏和宁夏为例开展实证研究。研究结果表明:SRI可更好地量化和反映我国生产安全事故系统性风险水平;近年我国系统性风险非持续下降,呈波动变化;事故少发地区的系统性风险不一定小于事故多发地区。研究结果可为我国安全生产战略谋划和顶层设计提供新思路。     

论BS OHSAS18001：2007在事故分析中的应用

通过对国内外事故分析方法和先进安全管理经验的调研，本文根据BSOHSAS18001：2007标准核心要素的要求，对1984年印度博帕尔危险化学品泄漏事故从活动的策划、实施、检查、改进四个环节进行重新剖析。旨在找出事故发生的各方面原因、推进事先预防的科学、系统的安全管理。     

基于高分遥感的危险化学品重大危险源安全布局动态管控研究*

为遏制危险化学品重特大安全事故，解决传统安全监测手段的空间局限性问题，结合高分遥感与数值模拟技术，开展危险化学品重大危险源区域安全布局动态管控研究。利用数值模拟技术模拟并确定危险化学品重大危险源重点管控范围；基于高分遥感影像提出适用于危险化学品重大危险源安全布局动态管控的变化检测方法，动态监测安全防护范围内的建筑、道路等人工构筑物的变化情况，严控事故影响范围内的人工构筑物密度；以内江市隆桥化工为实例开展示范应用。结果表明:高分遥感技术能够高效监测危险化学品重大危险源安全防护范围内的工程建设情况，有助于危险化学品企业保持足够的外部安全防护距离，降低危险化学品重特大安全事故风险。     

基于JAVA技术的易燃易爆毒性云团扩散软件的开发与应用

针对易燃易爆及有毒有害物质在生产、储存和运输过程中经常发生泄漏事故所造成的严重后果,进行该类事故的模拟和仿真研究;通过对几种气云扩散数学模型进行分析,利用JAVA技术开发出高斯模型、BOX模型、LTA-HGDM模型扩散模拟软件,该软件具有良好的环境兼容性,通过输入相应的参数即可方便快速地进行后果模拟;通过实例进行软件应用,其结果可以为政府规划和为企业事故发生后采取相应的应急措施提供依据。     

Safety management systems under Seveso II: Implementation and assessment

The `Seveso II Directive' (96/82/EC) requires certain establishments holding hazardous substances to implement a Safety Management System (SMS). The first part of the paper discusses the origin of this requirement, the guidance drawn up to help companies fulfil it, and the results of preliminary testing of this guidance. One important element in implementing and inspecting SMS is the identification of SMS weaknesses, the safety culture that effects SMS and finally the evaluation of safety performance. The second part of this paper examines some principles underlying industrial practice in evaluating SMS. Audit-related activities, involving proactive performance indicators for monitoring compliance with standards, are used nowadays to identify weaknesses of the SMS. Preventive actions to control risks and policy updating within the company through strategic plans are found to be sensitive to the number and type of SMS elements taken into account as indicators. The value of quantifying performance using simple rating systems in audits may be limited to the single installation. The guidelines and evaluation methods could thus produce useful results only when safety aspects and system elements are identified and evaluated separately for each installation; the value of quantification is limited to the individual elements after considering their functional relation with the rest of the elements in the SMS environment and the local safety culture into which they are developed.     

重大事故后果模拟法在天然气场站安全评价中的应用

场站是气田集输的枢纽,也是高风险存在和集中的场所。本论文采用重大事故后果模拟分析法建立天然气泄漏速率估算模型、蒸气云爆炸模型,并以陕北某一天然气场站为例,借助Risk System软件对天然气泄漏速率和泄漏量以及蒸气云爆炸最大事故进行数值模拟。模拟分析结果有助于对天然气场站可能发生的各种事故进行风险评价,也有助于对各类风险大的危险危害因素提出对应的安全对策措施,确保安全生产。     

Dynamic model based safety analysis of a three-phase catalytic slurry intensified continuous reactor

Safety analysis like the HAZOP (HAZard OPerability) study can be much more efficient if a dynamic model of the system under consideration is available to evaluate the consequences of hazard deviations and the efficiency of the proposed safety barriers. In this paper, a dynamic model of a three-phase catalytic slurry intensified continuous chemical reactor is used within the context of its HAZOP (HAZard OPerability) study. This reactor, the RAPTOR®, is an intensified continuous mini-reactor designed by the French company AETGROUP SAS that can replace batch or fed-batch processes in the case of highly exothermic reactions involving hazardous substances. The highly hazardous hydrogenation of o-cresol under high pressure and temperature is taken as an example of application. Deviations as a temperature increase of the cooling medium or no cooling medium flow can produce an overheating of the reactor. Thus, three possible safety barriers are evaluated by simulation: shut off the gaseous reactant feed, shut off the liquid reactant feed or stop the agitation. The more efficient actions are the stopping of the agitation and/or of the gas reactant feed. The simulation results can efficiently help the reactor design and optimisation. Safety analysis can also be one of the criteria to compare batch and intensified continuous processes.     

重大事故危害阈值的探讨

给出重大事故危害阈值的定义和主要类型。通过对国内外相关文献的分析,确定出火灾、爆炸伤害准则,并对各种常见毒物紧急暴露阈值进行比较。在此基础上,给出各种事故场景下不同人员伤害程度下的伤害阈值。该伤害阈值标准按对人员伤害程度的不同,分为高致死、致死出现、不可逆效应和可逆效应4种。给出的伤害阈值可应用于重大危险源或工业园区的安全评价、安全规划以及应急规划等工作。     

Quantitative assessment of domino and NaTech scenarios in complex industrial areas

Since the late 80s the application of quantitative risk assessment to the issue of land-use planning with respect to major accident hazards emerged as a topic to be addressed within the safety assessment of chemical and process plants. However, in the case of industrial clusters or complex industrial areas specific methodologies are needed to deal with high-impact low-probability (HILP) events. In the present study, innovative methodologies developed for the quantitative assessment of risk due to domino and NaTech scenarios are presented. In recent years a set of models for the calculation of equipment damage probability were developed. A specific effort was dedicated to the improvement of models for the calculation of equipment damage probability in these accident scenarios. In the present study, the application of these models to case-studies was analyzed. The results of the improved models obtained for NaTech quantitative assessment were compared to previous results in the literature. A specific innovative approach was developed to multi-level quantitative assessment of domino scenarios, and its potential was analyzed. The results were examined also evidencing the role and the progress with respect to the pioneering work started on these topics by Franco Foraboschi.     

Application of domino effect quantitative risk assessment to an extended industrial area

Escalation of primary accidental scenarios triggering a “domino effect” have caused extremely severe accidental events in the chemical and process industry. The identification of possible escalation events is required in the safety assessment of sites where relevant quantities of hazardous substances are stored or handled. In the European Union, “Seveso-II” Directive requires the assessment of on-site and off-site possible escalation scenarios in sites falling under the obligations of the Directive. In the present study, a methodology developed for the quantitative assessment of risk due to domino effect was applied to the analysis of an extended industrial area. Recently developed equipment damage probability models were applied for the identification of the final scenarios and for escalation probability assessment. The domino package of the Aripar-GIS software was used for risk recomposition. The results evidence that quantitative risk assessment of escalation hazard is of fundamental importance in order to identify critical equipment and to address prevention and protection actions.     

Dangerous good transportation by road: from risk analysis to emergency planning

Despite the relative recent move towards inherent safe materials, the relentless drive of consumerism requires increased quantities of dangerous goods to be manufactured, transported, stored and used year on year. The safety and effectiveness of road transport systems is to be considered a strategic goal in particular in those countries, like Italy, in which 80% of goods are transported by this means. In this paper, we face the risk from dangerous good transport by presenting a site-oriented framework for risk assessment and developing a theoretical approach for emergency planning and optimisation. In the first step, we collected field data on a pilot highway and developed a database useful to allow a realistic evaluation of the accident frequency on a given route, by means of multivariate statistical analysis. To this end, we considered both inherent factors (such as tunnels, bend radii, height gradient, slope etc), meteorological factors, and traffic factors (traffic frequency of tank truck, dangerous good truck etc.) suitable to modify the standard national accident frequency. By applying the results to a pilot area, referring to flammable and explosive scenarios, we performed a risk assessment sensitive to route features and population exposed. The results show that the risk associated to the transport of hazardous materials, in some highway stretches, can be at the boundary of the acceptability level of risk set down by the well known F/N curves established in the Netherlands. On this basis, in the subsequent step, we developed a theoretical approach, based on the graph theory, to plan optimal emergency actions. The effectiveness of an emergency planning can normally be evaluated in term of system quickness and reliability. As a case study, we applied the developed approach to identify optimal consistency and localisation in the pilot area of ‘prompt action vehicles’, properly equipped, quick to move and ready for every eventuality. Applying this method results in an unambiguous and consistent selection criterion that allows reduction of intervention time, in connection with technical and economic optimisation of emergency equipment.     

煤矿安全监控系统研究

鉴于我国煤矿安全生产的严峻现状，将安全监控预警技术应用于煤矿安全生产具有重要现实意义。首先，对煤矿常见危险有害因素和主要事故类型进行了分析，然后，提出了事故预防控制措施；最后，提出了煤矿安全监控预警系统的总体架构、硬件组成和软件功能设计方案。该系统通过对煤矿各类安全参数与视频图像的信息融合与智能分析处理，及时发现事故隐患，提供多种形式的事故报警和预警及应急处置的指导，为煤矿安全生产和防灾救灾的正确决策提供快速有效的信息支持。     

基于危化品事故案例的决策规则提取算法研究*

为充分解析文本形式的危化品事故案例,探讨事故类型与大量事故致因间的因果关联,从化工行业入手,通过扎根理论对175起危化品事故案例进行因素提取,共确定5个子系统、19个因素、80个子因素,提出基于事故生命周期的事故致因框架;在此基础上,提出改进的Gra Apriori算法,以解决经典的Apriori无法考虑属性类别关系的问题,最终获得14个以事故类型为决策属性的规则。结果表明:这些规则从不同事故阶段细致地剖析了危化品事故所遵循的规律,重现事故的演变过程,为危化品事故风险管理提供准确可靠的预防策略和决策支持。     

基于事故分级的有害物品运输路径风险度量模型研究

有害物品运输的路径问题实质上是对有害物品相关的风险考量,对风险如何进行测量,直接影响路径选择的结果。在有关有害物品运输文献中,已经提出了多种风险测量模型,最广泛使用的风险定义是路径中节点间发生事故后果的期望值,它等于事故发生的可能性与其可量化的结果的乘积。所提出的风险度量模型均没有考虑到事故分级对路径风险评价结果的影响。为此,提出将事故分级引入风险度量模型,并对原有模型进行相应改进,可以有效地克服原有模型的计量误差,减少路径运输风险。     

Perceptions of industrial risk and emergency management procedures in Hazmat Logistics: A qualitative mental model approach

In the industrial risk field, Hazmat Logistics research is growing as a sector of special relevance. The road transport of these substances is an activity with an elevated risk, involving drivers, logistics systems, industries, infrastructures, urban areas, etc.In the study of risk and safety of the logistics of hazardous materials there is a special relevance for new and complex elements, as human factors and mental models involved in managing critical incidents ‘‘on the road”. Moreover, the ‘‘emergency management training” of human resources in this field is often limited, and this represents another factor of vulnerability.In collaboration with SBG (one of the leading European Hazmat Logistics corporations), we developed a quali-quantitative study on cognitive representations and semantic perceptions of risk and emergency management procedures in tanker drivers. The main innovation of the study, with the direct involvement of the stakeholder and 47 drivers, is represented by the construction and use of ‘‘ad hoc” psychometrical and knowledge-elicitation, allowing a deeper analysis of workers’ mental models.The application of PCP tools of adapted RepGrid and Landfield Laddering Procedures allows to analyze some of the main qualitative structures of mental models held by drivers about Hazmat Logistics. Through the analysis of these mental models, it could become possible to set up efficient preventive actions for this type of industrial risk. We are going to discuss the consequences of these findings and methodological approaches for the industrial risk-and-safety field.     

Causation of Severe and Fatal Accidents in the Manufacturing Sector

The main purpose of this paper is to identify the most frequent causes of accidents in the manufacturing sector in Andalusia, Spain, to help safety practitioners in the task of prioritizing preventive actions. Official accident investigation reports are analyzed. A causation pattern is identified with the proportion of causes of each of the different possible groups of causes. We found evidence of a differential causation between slight and non-slight accidents. We have also found significant differences in accident causation depending on the mechanism of the accident. These results can be used to prioritize preventive actions to combat the most likely causes of each accident mechanism. We have also done research on the associations of certain latent causes with specific active (immediate) causes. These relationships show how organizational and safety management can contribute to the prevention of active failures.     

Concentration model for gas releases in buildings and the mitigation effect

In case of accidents involving releases of hazardous materials, calculating the gas dispersion is essential for assessing risks. In general, the leaked chemical is assumed to be instantly dispersed to the atmosphere if the leak occurs in the outdoor location. However, a different approach should be made for the incidents when sources are located inside a building. For the indoor release, the gas will be diluted prior to the release to the atmosphere and the gas release from a building to the atmosphere demands the application of another model before the dispersion calculation. The indoor release model calculates average indoor concentration and volumetric flowrate to the exterior. The model is fast and reasonably accurate compared to rigorous but time-consuming computational fluid dynamics (CFD) models. The model results were compared with experimental data, and CFD simulation results both with simple geometry to demonstrate validation and assess the performance of the indoor release model. Lastly, the behavior and effect of mitigation of indoor release were demonstrated by using the model results.