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Cohort-based evacuation time estimation using TSIS-CORSIM

机译:基于队列的基于伙伴的抽空时间估计使用TSIS-Corsim

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Evacuation Time Estimate (ETE) can provide decision-makers with a likelihood to implement evacuation of a population with radiation exposure risk by a nuclear power plant. Thus, the ETE is essential for developing an emergency response preparedness. However, studies on ETE have not been conducted adequately in Korea to date. In this study, different cohorts were selected based on assumptions. Existing local data were collected to construct a multi-model network by TSIS-CORSIM code. Furthermore, several links were aggregated to make simple calculations, and post-processing was conducted for dealing with the stochastic property of TSIS-CORSIM. The average speed of each cohort was calculated by the link aggregation and post-processing, and the evacuation time was estimated. As a result, the average cohort-based evacuation time was estimated as 2.4–6.8?h, and the average clearance time from ten simulations in 26?km was calculated as 27.3?h. Through this study, uncertainty factors to ETE results, such as classifying cohorts, degree of model complexity, traffic volume outside of the network, were identified. Various studies related to these factors will be needed to improve ETE’s methodology and obtain the reliability of ETE results.
机译:疏散时间估计(ete)可以提供决策者,可能会通过核电站实施具有辐射暴露风险的人口的疏散。因此,OTE对于开发应急响应准备至关重要。但是,迄今为止迄今为止尚未充分进行对Ode的研究。在这项研究中,基于假设选择了不同的群组。收集现有的本地数据以通过TSIS-Corsim代码构建多模型网络。此外,聚集了几个环节以进行简单的计算,并进行后处理以处理TSIS-Corsim的随机性能。通过链路聚合和后处理计算每个群组的平均速度,估计疏散时间。结果,平均基于群组的抽空时间估计为2.4-6.8?H,并且在26 km中的十个模拟中的平均清除时间计算为27.3μm。通过这项研究,确定了ete结果的不确定性因素,例如分类群组,模型复杂程度,网络之外的交通量。需要与这些因素有关的各种研究,以提高ete的方法,并获得ete结果的可靠性。

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