Risk and consequence analyses of hazardous chemicals in marshalling yards and warehouses at Ikonio/Piraeus harbour, Greece

The risk and the consequences of possible accidents at Ikonio (Piraeus harbour, Greece) are investigated and analyzed in this paper. At this harbour large cargoes of dangerous chemicals (toxic or flammable) are unloaded and stored in warehouses or in marshalling yards. Houses and a school are located near the plant and are directly exposed to danger in the case of an accident. The results were obtained by Breeze Hazard Professional software package, which contains several models for performing consequence modeling through quantitative risk assessment.     

Risk informed optimization of a hazardous material multi-periodic transportation model

This paper presents a systematic framework toward the development of a Transportation Model for Hazardous Materials (HazMat). In practice, the proposed modeling framework is realized through an appropriate generalization of the traditional transportation network problem in the presence of safety constraints that need to be satisfied. The objective is to minimize transportation cost while reducing risks at the desired levels.In particular, the present research study identifies and evaluates different risk factors that influence the HazMat transportation network. Next, the transportation model is depicted graphically using nodes and arcs and optimal conditions are identified by solving the associated minimum cost flow network problem. The results show safety levels that help making informed decisions on choosing the optimal transportation configuration for hazardous material shipments.Within the proposed methodological context, appropriately parameterized simulation studies elucidate the effects of occurrence probabilities of the different risk events on transportation cost. Furthermore, as the appropriate management decisions must consider the effect of actions in one time period on future periods, the proposed model is structured as a multi-periodic model.Finally, the proposed methodological approach is employed to demonstrate the utility of proper analytical tools in decision making and particularly in ensuring that scientifically informed safety procedures are in place while transporting goods that can be potentially proven dangerous to the public and the surroundings.     

基于Apriori算法的易燃易爆危险化学品储运火灾爆炸事故关键致险因素的挖掘

导致易燃易爆危险化学品储运火灾爆炸事故的因素繁多、关系复杂,挖掘关键致险因素是减少管理成本、提高防控效率的关键。研究了200例事故等级为较大事故以上的易燃易爆危险化学品储运火灾爆炸事故的原因,采用事故树分析法建立易燃易爆危险化学品储运火灾爆炸事故树,并运用频度统计法遴选出致险因素;在此基础上,建立基于Apriori算法的关联规则模型进行数据挖掘,共得到14个关键致险因素。通过对关键致险因素与易燃易爆危险化学品储运火灾爆炸事故之间关联规则的分析表明,关键致险因素与事故之间存在强关联规则,单一关键致险因素或其组合的存在必将导致事故的发生,为实现危险化学品储运精准化安全管理提供参考。     

基于多目标优化的危险化学品运输模式探讨

近年来,危险化学品在运输过程中的事故越来越多,危害也越来越大,人们关于运输的安全意识也越来越强烈。本文介绍了多目标遗传算法、多目标优化、多目标进化以及他们之间的关系,并将多目标优化问题与危险化学品运输紧密联系起来,建立基于多目标优化的危险化学品运输模式。通过对危化品公路运输的问题描述以及约束条件（包括运输人员、押送人员、运输车辆、监督部门等等）的确定,把该问题转化成为拥有多目标的数学模型,最后利用网格法对危险化学品运输多目标优化进行求解,把多目标问题转化成为多个相互联系的2目标问题,通过减少目标函数边界的方法进行优化。通过这样求解的多目标问题,能够保证运输路径最短、费用最低、安全性最佳,为危险化学品运输安全提供技术支撑。     

基于贝叶斯网络的危化品爆炸事故电力系统风险评估模型

为提高危化品爆炸事故电力应急预警的准确性,建立基于贝叶斯网络的危化品爆炸事故电力系统风险评估模型.基于危化品爆炸事故电力应急典型情景分析,建立综合考虑突发事件、承灾载体和应急管理等风险因素的贝叶斯网络结构.应用概率刻画风险因素信息的不确定性及其相互影响,定量分析事件后果.结合一般条件和典型情景等的应用实例,分析评价方法...     

危险化学品公路运输事故新特点及对策研究

统计分析了2008年1月～2010年5月我国发生的485起危险化学品公路运输事故。从事故发生的原因、事故涉及的化学品、事故造成的危害、事故发生的月份分布及年份变化等几个方面,分析了近年来危险化学品公路运输事故的新特点及变化规律。经统计分析,道路交通事故是引发危险化学品运输事故的主要原因之一;侧翻是危险化学品车辆最容易发生的道路交通事故;而随着我国高速公路的迅猛发展,追尾造成的危险化学品运输事故数量呈上升趋势;危险化学品公路运输过程中易燃液体事故起数最多,爆炸品和毒性物质事故造成的人员伤亡最严重;春节前后取代夏季,成为近两年危险化学品运输事故高发期。针对这些特点,对我国危险化学品公路运输安全管理与监控提出了建议。     

零星危险化学品快递运输风险博弈分

针对零星危险化学品运输中的安全隐患问题,应用博弈理论构建了政府、快递企业、零星危险化学品托运人的三方博弈模型,对零星危险化学品安全运输问题进行了研究。在求得博弈模型均衡解的基础上,对均衡解进行了深入分析,研究结果表明:政府的最优检查概率与快递企业的安全管理成本正相关,与快递企业发生事故时的损失负相关;快递企业实施安全管理的概率与政府对快递企业的惩罚、快递企业发生事故时政府的损失正相关,与政府的检查成本、托运人选择托运且安全运输时的收益负相关;托运人选择托运的概率与快递企业实施安全管理的成本正相关。最后为有效杜绝零星危险化学品运输事故的发生提出了相应对策。     

Risk analysis for road and rail transport of hazardous materials: a simplified approach

A simplified approach to transportation risk analysis for road and rail transport of dangerous goods is proposed, which is based on the use of a product databank, containing the impact areas for a number of pre-selected accidental scenarios, and on the selection of a few typical average values of the involved parameters, relevant to the type of transport activity and to the route. Such an approach enables also a non-specialist to very rapidly perform a transportation risk analysis, obtaining both individual and societal risk measures for the study case(s): the results may be used to support a decision making process, and/or as a basis for a more in deep analysis.     

Research on the prediction model of hazardous chemical road transportation accidents

In recent years, hazardous chemicals road transport accidents have occurred frequently, causing huge casualties and property losses, and accident risk assessment has become the focus of researchers' research. To predict the risk probability value of hazardous chemical road transport accidents, first, we compiled data on road transportation accidents of hazardous chemicals in China in the past five years. And the nine nodes in the Bayesian network (BN) structure were defined in combination with relevant classification standards. The optimal Bayesian network structure for hazardous chemical road transport accidents was determined based on the K2 algorithm and the causalities between the nodes. Second, the node conditional probabilities were derived by parameter learning of the model using Netica, and the validity of the model was verified using the 5-fold cross-validation method. Last, the Bayesian network model of hazardous chemical road transport accidents is used to analyze accident examples, and the accident chain of “rear-end-leakage” is predicted, and the accident is most likely to be disposed of within 3–9 h. The study shows that the derived accident prediction model for hazardous chemical road transportation can reason reasonably about the evolution of accident scenarios and determine the probability values of accident risks under different parameter conditions.     

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。     

危险化学品道路运输系统危险性分析

针对危险化学品道路运输中的安全问题 ,建立了危化品道路运输系统模式和系统危险性评价程序。应用所开发的ACES软件系统对汽车燃料汽油的替代品LPG的道路运输进行了最大事故后果分析评价 ,并提出了建议和对策。研究结果不仅能够为危化品道路运输系统危险性的控制和预防提供科学指导 ,还能为减少系统事故损失及事故时的应急疏散等提供参考数据 ,具有潜在的经济效益和社会效益。     

Risk analysis for road and rail transport of hazardous materials: a GIS approach

An approach to transportation risk analysis for road and rail transport of dangerous goods is proposed, which is based on the use of geographic information systems (GIS) to manage territorial information, coupled with a product data bank in a risk evaluation tool. Such an approach enables to accurately take into account the local data affecting risk analysis, such as population, accident rate, and weather conditions along all the route, by means of a system which can be easily updated. The resulting risk evaluation tool assists in the step of route identification and allows to rapidly perform an accurate transportation risk analysis, for a single transportation event as well as for multiple substances, trips and itineraries.     

危险化学品装卸运输一体化安全风险预警平台设计与研究

针对危险化学品装卸环节与运输环节安全事故频发,涉及监管部门较多,及危险化学品流转过程中多物态、跨地域、跨时空的特征通过调研和分析,得出运输介质不符、疲劳驾驶、超载、企业超资质营业、装卸操作不规范等是影响危险化学品装卸、运输环节的主要安全风险因素;另外,装卸、运输环节安全风险影响因素之间存在紧密的耦合关系。为更有效落实企业安全生产主体责任和政府监管职责,严格依据相关法律法规和标准,并融合互联网、物联网、人工智能、地理信息等新一代信息化技术和理念,设计并研究集危险化学品装卸与运输一体化的安全风险预警平台。目前该平台已在山东淄博上线试运行,取得了良好的运行效果,提高了该市危险化学品装卸运输过程本质安全水平,增强了政府危险化学品监管能力。     

2006-2010年我国危险化学品事故统计分析研究

本文基于＂十一五＂期间我国危险化学品事故统计数据,从事故类别、事故发生区域、事故发生时间、企业经济类型、危险化学品类别、危险化学品事故发生环节等方面进行分析,结果表明,中毒与窒息事故和爆炸事故占危险化学品事故主要类型,易燃液体、易燃气体、爆炸品和腐蚀性物质是引发危险化学品事故的主要危险物质类型,生产环节是事故发生的主要环节,违反操作规程或劳动纪律与设备设施工具附件有缺陷是导致事故的重要原因。从落实企业安全生产主体责任、提升本质安全化水平、开展重大危险源普查、建立安全监管网络、加强危险化学品产业布局、提高事故应急救援能力等方面提出了预防和控制危险化学品事故的对策建议。     

危化品生产储存使用全过程安全监控与监管系统

危险化学品事故的频繁发生对人民生命财产和环境造成了巨大破坏,对危险化学品生产储存使用全过程实施安全监控和监管是有效减少和预防危化品事故的重要方法和手段.提出了危化品生产储存使用全过程安全监控与监管体系结构,论述了系统建设中进行危险辨识和风险分析的要求,详细讨论了动态安全监控与管理所涉及的采集监测、过程监控、安全分析、预警报警、应急联动、安全管理等主要技术内容及系统功能的设计.所提的技术方法和系统已在石化等企业进行示范应用,取得良好运行效果.     

危险化学品公共安全技术信息管理系统研究进展

危险化学品安全管理是国家公共安全保障体系的重要组成部分,加强对危化品的安全管理,是保持社会稳定和经济安全,促进贸易的一项战略任务。国内外危化品安全管理实践经验和教训表明,要实现危化品安全科学管理,建立和完善包括危化产品数据库、人员管理、危险源监控、质量安全数据库、应急求援、废弃物处理等从摇篮到坟墓式的技术支持系统至关重要。本文结合近年来危化品安全技术信息管理系统的现状,系统的从国内和国外的研究情况,综述了国内外危化品安全信息系统的研究成果,分析了其优缺点,并且对我国的危化品安全生产信息化建设中存在的问题进行了总结,提出了解决办法与对未来发展趋势进行了展望。     

危险化学品在运输过程中的危险分析及控制

分析了危险化学品在运输中发生火灾爆炸的致灾因子及其危害的特点,并采用定量计算的方法给出危害的直观描述,进而提出危险化学品在运输过程中的控制措施.     

Trends of hazardous material accidents (HMAs) during highway transportation from 2013 to 2018 in China

Statistical analysis of hazardous material accidents (HMAs) in China from 20013 to 2018 related to characteristics and consequences is discussed in this study, revealing different time volatility, spatial distribution and accident consequence features. Yearly, monthly, weekly and hourly levels of HMAs are analysed, and the corresponding factors are discussed. The trends of HMAs are affected by different factors, such as efforts toward safety-specific rectification by the government, holidays, five-day workweek systems and daily traffic peaks. The spatial distribution trends indicate that highway transportation of hazardous materials is mostly short-distance transport. The accidents that occurred on normal road sections account for 82.76% of the total HMAs during transportation. Leaking accidents caused by HMAs account for 79.35% of the total accidents. Countermeasures focusing on improving highway transportation safety for hazardous materials are recommended.     

危化品罐车自封堵式安全截断阀设计与分析

为解决危化品罐车的储罐阀门管线等关键部件易损坏造成危化品泄漏的问题,基于系统本质安全原理设计1种内置自封堵式安全截断阀并对其关键部件强度进行校核计算,建立实现阀芯阀座有效密封的三维实体模型并完成有限元分析。结果表明:在阀座密封面与球形阀芯接触处出现最大应力,阀座承受的最大应力小于材料的最大屈服应力,内置自封堵式安全截断阀具有较高的可靠性,可为危化品储运相关安全装置设计提供理论参考。