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对CAP88-PC预测劳伦斯利弗莫尔国家实验室空气中氚浓度的测试。

Test of CAP88-PC's predicted concentrations of tritium in air at Lawrence Livermore National Laboratory.

作者信息

Peterson S-R

机构信息

Terrestrial and Atmospheric Monitoring and Modeling Group, Operations and Regulatory Affairs Division, Environmental Protection Department, Lawrence Livermore National Laboratory, PO Box 808, L-629, Livermore, CA 94551, USA.

出版信息

Health Phys. 2004 Dec;87(6):583-95. doi: 10.1097/01.hp.0000138585.30681.e2.

Abstract

Based on annual tritium release rates from the five sources of tritium at Lawrence Livermore National Laboratory and the Tritium Research Laboratory at Sandia National Laboratory, the regulatory dispersion and dose model, CAP88-PC, was used to predict tritium concentrations in air at perimeter and offsite air surveillance monitoring locations for 1986 through 2001. These predictions were compared with mean annual measured concentrations, based on biweekly sampling. Deterministic predictions were compared with deterministic observations using predicted-to-observed ratios. In addition, the uncertainty on observations and predictions was assessed: when the uncertainty bounds of the observations overlapped with the uncertainty bounds of the predictions, the predictions were assumed to agree with the observations with high probability. Deterministically, 54% of all predictions were higher than the observations, and 96% fell within a factor of three. Accounting for uncertainty, 75% of all predictions agreed with the observations; 87% of the predictions either matched or exceeded the observations. Predictions equaled or exceeded observations at those sampling locations towards which the wind blows most frequently, except those in the hills. Under-predictions were seen at locations towards which the wind blows infrequently when released tritium was from elevated sources. When a high fraction of tritium was from area (diffuse) sources, predictions matched observations.

摘要

根据劳伦斯利弗莫尔国家实验室和桑迪亚国家实验室氚研究实验室五个氚源的年度氚释放率,使用监管扩散和剂量模型CAP88-PC来预测1986年至2001年周边和场外空气监测地点空气中的氚浓度。这些预测与基于每两周采样的年均测量浓度进行了比较。确定性预测与确定性观测值通过预测与观测值的比率进行比较。此外,还评估了观测值和预测值的不确定性:当观测值的不确定性范围与预测值的不确定性范围重叠时,假定预测值很可能与观测值一致。从确定性角度来看,所有预测中有54%高于观测值,96%在三倍范围内。考虑到不确定性,所有预测中有75%与观测值一致;87%的预测值与观测值匹配或超过观测值。在风最常吹向的那些采样地点,预测值等于或超过观测值,但山区的采样地点除外。当释放的氚来自高架源且风很少吹向这些地点时,会出现预测值低于观测值的情况。当很大一部分氚来自区域(扩散)源时,预测值与观测值匹配。

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