Occupational injury and accident research: A comprehensive review

In this paper, a comprehensive review of the concepts of occupational injury and accident causation and prevention is presented. Starting with hazard identification, the issues on risk assessment, accident causation, and intervention strategies are discussed progressively. The distinctiveness and overlaps in accident and injury research are highlighted. Both empirical research in terms of hypotheses tested and theoretical research such as accident causation models are compared and contrasted. Finally, based on the critical appraisal of the comprehensive review, future research directions on occupational injury research are delineated.     

Accident data for the Semantic Web

This paper describes concerns about the documentation, dissemination and use of lessons learned from mishap investigations, impediments posed by current practices, and opportunities for improvement. Lessons are presently developed, documented and stored primarily in narrative form and relational databases, and disseminated in many forms and media, including the Internet. Current practices pose many impediments to maximized development, dissemination and use. Investigation process research and new data concepts behind the Semantic Web, exploited elsewhere, offer potential opportunities to overcome these impediments. To exploit these opportunities, formation of a working group to develop an improved Semantic Web-friendly mishap investigation lessons learning system is proposed. An example illustrating an alternative approach is described to support a reasonable expectation that an alternative lessons learning system could be developed.     

Are safety investigations pro-active?

This paper elaborates on the debate whether safety investigations are obsolete and should be replaced by more modern safety assessment approaches. Despite their past performance, in particular in aviation, accident investigations are criticized for their reactive nature and the lack of learning potential they provide. Although safety management systems are considered a modern method with a more prospective potential, they too are hard to judge by their quantitative performance. Instead of measuring both concepts along the lines of their output, this contribution explores the origin, context and notions behind both approaches. Both approaches prove to be adaptive to new developments and have the ability to shift their focus towards learning and cognition. In assessing their potential, accident investigations prove to cover a specific domain of application in the risk domain of low probability and major consequences, fulfilling a mission as public safety assessor. In order to make optimal use of their analytic and diagnostic potential, investigations should mobilize more complex and sophisticated scientific theories and notions, in particular of a non-linear nature. Consequently, they are neither reactive, nor proactive, but provide a specific approach to safety issues.     

Dynamic risk analysis of offloading process in floating liquefied natural gas (FLNG) platform using Bayesian Network

The growing demand for natural gas has pushed oil and gas exploration to more isolated and previously untapped regions around the world where construction of LNG processing plants is not always a viable option. The development of FLNG will allow floating plants to be positioned in remote offshore areas and subsequently produce, liquefy, store and offload LNG in the one position. The offloading process from an FLNG platform to a gas tanker can be a high risk operation. It consists of LNG being transferred, in hostile environments, through loading arms or flexible cryogenic hoses into a carrier which then transports the LNG to onshore facilities. During the carrier's offloading process at onshore terminals, it again involves risk that may result in an accident such as collision, leakage and/or grounding. It is therefore critical to assess and monitor all risks associated with the offloading operation. This study is aimed at developing a novel methodology using Bayesian Network (BN) to conduct the dynamic safety analysis for the offloading process of an LNG carrier. It investigates different risk factors associated with LNG offloading procedures in order to predict the probability of undesirable accidents. Dynamic failure assessment using Bayesian theory can estimate the likelihood of the occurrence of an event. It can also estimate the failure probability of the safety system and thereby develop a dynamic failure assessment tool for the offloading process at a particular FLNG plant. The main objectives of this paper are: to understand the LNG offloading process, to identify hazardous events during offloading operation, and to perform failure analysis (modelling) of critical accidents and/or events. Most importantly, it is to evaluate and compare risks. A sensitivity analysis has been performed to validate the risk models and to study the behaviour of the most influential factors. The results have indicated that collision is the most probable accident to occur during the offloading process of an LNG carrier at berth, which may have catastrophic consequences.     

GC／MS在水污染事故监测中的应用

用ＧＣ／ＭＳ仪对一起严重的水污染事故水样进行了监测,检出的几十种化合物中,有多种与某化工厂的原料,产品及其中间体相吻合,该厂排放的污水与被污染河水水样有极其相似的指纹特征,迅速地判定了污染事故的责任者。     

沈阳市突发性环境污染事故应急监测能力建设现状分析

分析了沈阳市应急监测工作现状,指出了存在的问题,并指明了今后的发展方向。     

铁路行车安全预测初探

用灰色系统和概率统计的方法，对我国铁路行业两个铁路局的行车事故件数及百万机车走行公里数进行安全预测和讨论，就开展安全预测及安全管理中的一些问题提出了见解。     

新型伤亡事故信息管理系统开发构想

介绍了新型伤亡事故信息管理系统适用范围(企业、行业主管部门和劳动部门),收集信息种类(工伤事故、微伤、险肇、比照工伤事故),数据处理类型(统计上报数据和内部考核数据)及开发的技术关键(强调事故资料标准化)等。     

试论工程地质超前预报与施工安全

塌方是较常见的矿山事故,往往造成人员伤亡和设备损坏。为此,探索了一种适用于中长期和短期工程地质超前预报相结合的方法,来预报巷道施工过程中可能塌方的地段,并提出预防措施的具体方法。这种方法,在实践中取得了较好的效果。     

因果分析与系统安全性风险评价方法

综合了故障树分析和事件树分析的方法,提出因果分析的框架,研究了基于因果分析建立事故脚本的方法。在此基础上,还对因果分析的概率风险评价方法进行研究,并利用该评价方法,对电机过热的安全性问题进行分析,给出了分析计算的结果