Improving predictive models for noble gas transport through natural materials at the field-scale is an essential component of improving US nuclear monitoring capabilities. Several field-scale experiments with a gas transport component have been conducted at the Nevada National Security Site (Non-Proliferation Experiment, Underground Nuclear Explosion Signatures Experiment). However, the models associated with these experiments have not treated zeolite minerals as gas adsorbing phases. This is significant as zeolites are a common alteration mineral with a high abundance at these field sites and are shown here to significantly fractionate noble gases during field-scale transport. This fractionation and associated retardation can complicate gas transport predictions by reducing the signal-to-noise ratio to the detector (e.g. mass spectrometers or radiation detectors) enough to mask the signal or make the data difficult to interpret. Omitting adsorption-related retardation data of noble gases in predictive gas transport models therefore results in systematic errors in model predictions where zeolites are present.Herein is presented noble gas adsorption data collected on zeolitized and non-zeolitized tuff. Experimental results were obtained using a unique piezometric adsorption system designed and built for this study. Data collected were then related to pure-phase mineral analyses conducted on clinoptilolite, mordenite, and quartz. These results quantify the adsorption capacity of materials present in field-scale systems, enabling the modeling of low-permeability rocks as significant sorption reservoirs vital to bulk transport predictions.

改善在野外通过天然材料传输稀有气体的预测模型是提高美国核监测能力的重要组成部分。在内华达州国家安全局已进行了几个具有气体传输成分的现场规模实验（不扩散实验，地下核爆炸签名实验）。但是，与这些实验相关的模型尚未将沸石矿物视为气体吸附相。这是很重要的，因为沸石是这些田间地点的一种常见的蚀变矿物，具有很高的丰度，并且在现场规模的运输过程中，据显示它们可显着分馏稀有气体。这种分馏和相关的延迟可通过降低检测器的信噪比（例如，质谱仪或辐射探测器）足以掩盖信号或使数据难以解释。因此，在预测性气体传输模型中忽略稀有气体的与吸附有关的延迟数据会导致存在沸石的模型预测中的系统误差。在此显示了在沸石化和非沸石化凝灰岩上收集的稀有气体吸附数据。实验结果是使用为该研究设计和构建的独特的测压吸附系统获得的。然后将收集的数据与对斜发沸石，丝光沸石和石英进行的纯相矿物分析相关。这些结果量化了现场规模系统中存在的材料的吸附能力，从而可以对低渗透率岩石进行建模，将其作为重要的吸附储集层，对大宗运输预测至关重要。