Major accident hazard in bioenergy production

Some recent accidents involving the bioenergy production and feedstock supply chain raised concern on the safety of such technologies. A survey of major accidents related to the production of bioenergy (intended as biomass, bioliquids/biofuels and biogas) was carried out, and a data repository was built, based on past accident reports available in the open literature and in specific databases. Data analysis shows that major accidents are increasing in recent years and their number is growing faster than bioenergy production. The results obtained represent an early warning concerning the major accident hazard of bioenergies, and suggest the importance of risk awareness and safety culture in bioenergy production, in the perspective of a safe and sustainable exploitation of renewable resources.     

Association analysis of accident factors in petrochemical storage tank farms

In order to identify and clarify the association between the factors leading to accidents in a petrochemical tank area, this study analyzes investigation reports of 212 petrochemical tank farm accidents and combines this with the “association rule” mining and science related to complex networks. The main risk factors are determined and a risk factor data set is constructed; 75 association rules are extracted from the factor data set based on the Apriori algorithm. Then the obtained association rules are used to construct an accident factors network of the petrochemical storage tank area, and the topology characteristics of the network are further analyzed to reveal the importance of factors. Factors with large node degree, betweenness, and clustering coefficients are obtained, such as “violation of operating regulations”, “high concentration of flammable gas in the air”, “lack of experience and professional skills”, etc. These factors play an important role in the formation and development of accidents. The results also show that the accident cause network of the petrochemical storage tank area has a small average shortest path length and a large cluster coefficient, indicating a relatively close connection between the accident factors. The contributions of this study is not only extracting the hidden relationships among contributory factors to tank farm accidents using association analysis, but also revealing which factors are more important for the tank farm safety through the complex network.     

Study of the situation deduction of a domino accident caused by overpressure in LPG storage tank area

The production and storage of liquefied petroleum gas (LPG) is gradually becoming larger and more intensive, which greatly increases the risk of the domino effect of an explosion accident in a storage tank area while improving production and management efficiency. This paper describes the construction of the domino effect scene of an explosion accident in an LPG storage tank area, the analysis of the characteristics of the LPG tank explosion shock wave and the target storage tank failure, and the creation of an ANSYS numerical model to derive the development trend and expansion law of the domino accident in the LPG storage tank area. The research showed that: 400 m³ tank T1 explosion shock waves spread to T2, T4, T5, T3, and T6, and the tank overpressures of 303 kPa, 303 kPa, 172 kPa, 81 kPa, and 61 kPa respectively. The critical values of the target storage tank failure overpressure-range threshold were 70 kPa and 60 m. After the explosion of the initial unit T1 tank, at 38 ms, the T2 and T4 storage tanks failed and exploded; at 56 ms, the T5 storage tank exploded for the third time; at 82 ms, the T3 storage tank exploded for the fourth time; and at 102 ms, the T6 storage tank exploded for the fifth time. With the increase of explosion sources, the failure overpressure of the target storage tank increased, and the interval between explosions continuously shortened, which reflected the expansion effect of the domino accident. The domino accident situation deduction in the LPG storage tank area provided a scientific basis for the safety layout, accident prevention and control, emergency rescue, and management of a chemical industry park.     

Evaluation on consequences prediction of fire accident in emergency processes for oil-gas storage and transportation by scenario deduction

This paper takes the safety in emergency processes as the starting point, from the perspective of scenario deduction, to study the consequences of fire accidents for oil-gas storage and transportation. Through the statistical analysis of actual accident cases, 19 frequently occurring basic scenarios in emergency processes are summarized. The scenario evolution paths of fire accidents for oil-gas storage and transportation are given by analyzing the evolution law of the accident development. Fuzzy numbers are introduced to express experts' qualitative judgment on accident scenarios. The empirical probabilities of scenario nodes are obtained by defuzzification calculation, and the state probability of each scenario node is calculated by using the dynamic Bayesian network joint probability formula. Under the comprehensive consideration about the probability statistics of actual accident cases, the critical scenario nodes on the evolution path and their final scenario probabilities are jointly determined to realize the optimization of the scenario evolution path. By constructing the correlation between the optimized scenario evolution path and the accident consequences, an accident consequence prediction model is established. The occurrence probability of accident consequences is calculated by the defuzzification method and dynamic Bayesian network. The accuracy of the consequence prediction model is verified by the July 16 Dalian's Xingang Harbor oil pipeline explosion accident. The research results provide scientific basis for helping decision makers to make the effective emergency measures that are most conducive to the rapid elimination of accidents and reducing the severity of accident consequences.     

城市天然气利用工程的环境事故风险评价

根据作者的工作经验并结合工程实例,对天然气综合利用中环境事故风险评价的方法作一初步探讨.     

A risk-based modelling approach to enhance shipping accident investigation

This paper developed a risk-based modelling approach to enhance the execution process of shipping accident investigation (SAI). Specifically, the paper addressed a fuzzy extended fault tree analysis (FFTA) that combines the effects of organizational faults and shipboard technical system failures under a unique risk assessment scheme. The case study illustrates that a novel idea behind the proposed methodology allows relevant accident investigators to clarify the probability of technical failures, operational misapplications, and legislative shortages leading to the shipping accident. The current SAI reports can be extended with an integrated risk assessment section to formulate integrated strategies along with risk control measures onboard ships. Since the consequences of shipping accidents are still a global concern, the paper addresses integration of a FFTA into SAI reports to ensure a consistent database and subsequent decision aid to accident analysis and prevention efforts in the maritime transportation industry.     

突发性水污染事故预警指标体系实证研究

以突发性水污染事故预警指标体系构建为研究目标,提出预警指标集建立、预警指标筛选、预警指标体系构建的3步工作流程,建立水环境污染事故警情分级标准、评估方法与工作流程并将其应用于实践,构建定性与定量指标相结合的南京化工园区突发性水污染事故预警指标体系,根据区域环境特征与可能的风险事故类型确定各个指标的权重与阈值。该体系由事故类型、受影响人口数量、事故影响范围、受影响水体大小规模、事故影响地区类别、事故影响时间、事故排毒指数、水环境质量退化程度和水生生物受影响程度共9个指标组成。     

中小学校园踩踏事故统计分析及应对措施研究

为掌握中小学校园踩踏事故发生规律,预防事故发生,收集、整理近10年来的事故案例进行统计分析,获得了中小学校园踩踏事故的时空分布和影响因素的统计特征。发现存在"秋季学期"现象、"星期一"现象和事故易发生在教学楼1～2楼楼梯间。分析事故主要原因有:学生安全素质不高,学生安全教育不足,信息交流不畅,学校硬件设施设计不合理,学校应急管理不足。针对案例统计分析结果和原因,提出预防中小学校园踩踏事故的应对措施,为相关部门预防和处置事故提供决策支持。     

高速公路交通应急救援资源的配置

针对交通事故与救援资源存在随机性的特点,建立了交通救援资源配置的随机模型。根据高速公路特有的道路条件与交通机理,确定了模型中救援服务水平、事故概率的权重,配置点至事故点的权值以及随机资源等参数值。将所建立的模型与参数用于河南省高速公路的救援资源配置,研究表明,新的配置方案较好满足了交通事故高概率区域的救援需求,并且合理减少了救援需求区域的资源配置数量,为目前高速公路交通应急资源的科学配置提供了重要的参考依据。     

基于WebGIS煤矿事故应急救援系统的研究

简要论述煤矿事故救援的流程和特点,分析地理信息系统在煤矿事故应急救援中的应用,同时,重点研究基于WebGIS煤矿事故救援系统的技术架构、关键技术,开发将应急信息管理、应急演练、应急救援等业务融为一体的的救援系统,并对系统建设的数据库和主要功能模块进行介绍。系统在WebGIS平台上进行设计、开发和建设,利用WebGIS的空间分析能力,实现煤矿事故救援的可视化,为煤矿事故救援提供科学、准确、综合的信息支持。