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Quantifying Chemical/Biological Event Severity with Vulnerability-Based Performance Metrics

机译:使用基于漏洞的性能指标量化化学/生物事件的严重性

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Quantifying the impact of chemical or biological releases on a building and its occupants is a necessary part of risk assessment. The most informative metrics for this purpose are absolute, "threat-based" measures of lost or preserved assets that are specific to the agent of interest. Practical application of threat-based metrics may be difficult because data such as the maximum plausible release quantity and dose response characteristics for an agent may be unavailable. In addition, it is left to the judgment of the analyst to select appropriate agents on which to base risk management decisions. Relative metrics are an alternative to absolute metrics that compare quantities such as exposure without respect to the specific agent. Such metrics may be described as "vulnerability-based" because their values reflect the influence of the building and its systems on exposure, independent of the agent. Vulnerability-based metrics are generally easier to determine but harder to interpret than threat-based metrics. The ordered, area-weighted distribution of concentration raised to a power corresponding to the toxic load exponent of an agent was selected for investigation as the basis of a vulnerability-based metric. Metric values were computed from concentration time histories generated by multizone model simulations of indoor agent releases. It was found that metrics derived from this distribution can distinguish between the severity and extent of different releases. Although easier to apply to the results of multizone modeling, the proposed metric can, in principle, also be applied to experimental data.
机译:量化化学或生物释放对建筑物及其居住者的影响是风险评估的必要部分。为此目的,最有用的指标是针对受害代理的丢失或保留资产的绝对,基于“威胁”的度量。基于威胁的度量标准的实际应用可能很困难,因为可能无法获得数据,例如代理商的最大可能释放量和剂量响应特性。此外,留给分析师判断的是选择合适的代理商作为风险管理决策的依据。相对度量标准是绝对度量标准的替代方法,该绝对度量标准比较诸如风险暴露之类的数量而无需考虑特定代理。这样的度量标准可以描述为“基于漏洞”,因为它们的值反映了建筑物及其系统对暴露的影响,而与代理无关。与基于威胁的指标相比,基于漏洞的指标通常更容易确定,但更难以解释。选择浓度的有序,加权的区域浓度分布提高到与代理的有毒负荷指数相对应的幂,以进行调查,作为基于漏洞的度量的基础。根据室内药剂释放的多区域模型模拟生成的浓度时间历史记录来计算指标值。已经发现,从这种分布派生的指标可以区分不同版本的严重性和程度。尽管更容易将其应用于多区域建模的结果,但从原理上讲,所建议的度量标准也可以应用于实验数据。

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