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Waterway Risk Assessment Using System Simulation and Expert Judgement

机译:水路风险评估使用系统仿真和专家判断

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The Prince William Sound Risk Assessment was a joint project of Det Norske Veritas (DNV), Rensselaer Polytechnic Institute (RPI), and The George Washington University (GWU). The system simulation methodology was developed by GWU based on the premises that risk is a dynamic property of a system, and that judgment of experts that have a deep understanding of the system can be used to compensate for incomplete data. The system simulation/expert judgment approach was used to assess the baseline or current risk in the PWS oil transportation system and to evaluate the effectiveness of potential risk reduction measures. The judgment of over 160 maritime experts was formally elicited and structured to provide critical data for the system simulation. The judgment was calibrated using an extensive data base on maritime events in PWS compiled from public and private sources by RPI. The PWS risk assessment found that current system safeguards effectively address significant system risks, but are not optimal. The dynamic interactions modeled in the simulation demonstrate that actions that reduce risk in one part of the system often increase risk in other parts. The ability to identify and to evaluate these risk trade-offs is an essential element of risk management. The PWS risk assessment identified specific interventions that could increase the level of safety of oil transportation in Prince William Sound.
机译:威廉王子的健康风险评估是DET NORSKE VERITAS(DNV),RENSSELAER理工学院(RPI)的联合项目,以及乔治华盛顿大学(GWU)。该系统仿真方法是由GWU基于的前提是风险是一个系统的动态特性,并有系统有深刻的理解,可以用于补偿不完整的数据专家的这一判断发展。系统仿真/专家判断方法用于评估PWS石油运输系统中的基线或当前风险,并评估潜在风险降低措施的有效性。 160多个海事专家的判断是正式引出和构建的,为系统模拟提供关键数据。使用RPI从公共和私人来源编制的PWS上的海上活动的广泛数据库校准了判断。 PWS风险评估发现,目前的系统有效地解决了重要的系统风险,但并不是最佳的。模拟中建模的动态交互证明了减少系统一部分风险的动作通常会增加其他部分的风险。识别和评估这些风险权衡的能力是风险管理的基本要素。 PWS风险评估确定了可能提高威廉王子声音油运输安全水平的具体干预措施。

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