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Uncertainties In Performance Assessments For The Yucca Mountain Site And The 'Edge- of-Compliance'

机译:丝兰山区和“合规性边缘”的绩效评估不确定性

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Numerical performance assessments of deep geologic disposal systems of long-lived radioactive wastes serve as the primary tool for quantitatively assessing projected performance and for making regulatory compliance decisions, both in the U.S. and disposal programs abroad. However there is a significant body of opinion, expressed in the international literature, that the confidence that can be placed on such assessments decreases significantly as the analysis time frames increase into the many hundreds of thousands of years. With the inclusion of highly corrosion resistant metals in the planned waste package designs for the Yucca Mountain (YM) system commercial spent fuel and defense-generated high-level radioactive waste disposal, published projections for the site show doses to the receptor at times extending into the many hundreds of thousands of years. The question of relative confidence in dose projections becomes more important at very long time frames, particularly when the time frame for significant doses increases dramatically reflecting the effects of using highly corrosion resistant materials.To examine uncertainties in performance assessments of the YM disposal system over very long time frames, a site model developed by the U.S. Department of Energy to assess sensitivities in peak dose performance was modified and used to examine the propagation of uncertainties for a hypothetical disposal system. These analyses start with a hypothetical disposal system at the "edge-of-compliance" at 10,000 years, reflecting the generic repository standard in 40 CFR Part 191. The hypothetical system was poised to give a mean dose of 0.15 millisievert/year (15 mrem/yr.) at 10,000 years, by allowing a fixed number of waste packages to "fail" within the first 5,000 years after closure. By maintaining the number failed waste packages constant over time, the spread in dose estimates over the time to peak dose was calculated for this system perched at the "edge-of-compliance" at 10,000 years. This hypothetical construct removes waste package performance from the analyses and allows the site model to explore the effects of uncertainties in the natural barrier and site conditions on the dose projections out to the time of peak dose. The sensitivities of these projections to various "driver" parameters were examined, including infiltration rates, solubility constraints, water chemistry and roof collapse assumptions.Overall, the initial construct showed a one and one-half order of magnitude spread between the 5th and 95th percentiles at 10,000 years, the initial state for the analyses. This spread increased to approximately three and one-half orders of magnitude at peak dose, reflecting the effects of transport and retardation mechanisms on the fixed source term. The model eliminated portions of the transport path from the repository where relatively little retardation would be expected.Travel times were therefore significantly reduced thereby eliminating radioactive decay as an important mechanism in reducing projected doses. Solubility controls appear to be a major source of uncertainties in the dose projections for the model used. These results support the general international consensus that confidence in dose projections over very long time frames does decrease, and illustrates that this conclusion also applies to assessments of the YM projected performance as well.
机译:在美国和国外处置计划中,对长寿命放射性废物的深部地质处置系统进行数值性能评估是定量评估预期性能和做出法规遵从性决定的主要工具。但是,在国际文献中表达了一种重要的观点,即随着分析时间跨度增加到数十万年,可以对此类评估的信心大大降低。在尤卡山(YM)系统商业乏燃料和国防产生的高放射性废物处置计划废物包装设计中加入了高度耐腐蚀的金属,该地点的公开预测显示,该受体的剂量有时会延伸到数十万年。在很长的时间范围内,剂量预测的相对置信度问题变得尤为重要,特别是当大剂量的时间框架急剧增加时,反映了使用高度耐腐蚀材料的效果。 为了检查很长一段时间内YM处置系统性能评估中的不确定性,美国能源部开发了一个用于评估峰值剂量性能敏感性的站点模型,并将其用于检查假设处置系统的不确定性传播。这些分析从10,000年的“合规边缘”处的假设处置系统开始,反映了40 CFR Part 191中的通用存储库标准。该假设系统的平均剂量准备为0.15毫西弗特/年(15 mrem) /年。),在10,000年后,通过在关闭后的前5,000年内允许一定数量的废物包“失效”。通过使失效的废物包装数量保持一段时间不变,可以估算该系统在10,000年的“达标范围”内的剂量估计值到峰值剂量的时间范围。这种假设的结构从分析中消除了废物包装的性能,并允许现场模型探索自然屏障和现场条件的不确定性对剂量预测直至峰值剂量时间的影响。检查了这些预测对各种“驱动因素”参数的敏感性,包括渗透率,溶解度限制,水化学和屋顶坍塌假设。 总体而言,初始结构在10,000年(分析的初始状态)之间的第5个百分位数和第95个百分位数之间显示出一个半个数量级的差异。在峰值剂量时,这种扩散增加到大约三个和两个半个数量级,反映出运输和延迟机制对固定来源项的影响。该模型从存储库中消除了运输路径中预计会出现相对较少延迟的部分。 因此,大大减少了传播时间,从而消除了放射性衰变,这是减少预计剂量的重要机制。溶解度控制似乎是所用模型剂量预测中不确定性的主要来源。这些结果支持国际上的普遍共识,即在很长的时间范围内对剂量预测的信心确实会下降,并说明该结论也适用于YM预测性能的评估。

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