Detecting 127Xe in an atmospheric tracer experiment

IF 1.9 3区环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES

Journal of environmental radioactivity Pub Date : 2025-02-01 DOI:10.1016/j.jenvrad.2025.107614

Paul W. Eslinger , Matthew A. Goodwin , Ramesh S. Sarathi , Glen A. Warren , Brian T. Schrom , Michael Foxe , Daniel Chester , Graham Galvin , Reagan S. Turley , L. Daniel Hardy , PE-1 Experiment Team

引用次数: 0

Abstract

The Xcounts algorithm for calculating air concentrations of radioactive xenon isotopes (Eslinger et al., 2023) has been extended to estimate ¹²⁷Xe in addition to ^131mXe, ^133mXe, ¹³³Xe, and ¹³⁵Xe. The algorithm was applied to 119 samples collected with a SAUNA Q_B system (Ringbom et al., 2023) during a two-month atmospheric tracer release experiment. The algorithm identified two samples with ¹²⁷Xe present from a single 1.5 h release about 3.5 km upwind of the sampler and no false detections of ¹²⁷Xe were observed in the other samples.

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在大气示踪实验中探测127Xe

用于计算放射性氙同位素空气浓度的Xcounts算法（Eslinger et al., 2023）已经扩展到估计127Xe、131mXe、133mXe、133Xe和135Xe。该算法应用于桑拿QB系统（Ringbom et al., 2023）在为期两个月的大气示踪剂释放实验中收集的119份样品。该算法从采样器逆风约3.5 km处的单次1.5 h释放中识别出两个样品中存在127Xe，并且在其他样品中未观察到127Xe的错误检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of environmental radioactivity 环境科学-环境科学

CiteScore

4.70

自引率

13.00%

发文量

209

审稿时长

73 days

期刊介绍： The Journal of Environmental Radioactivity provides a coherent international forum for publication of original research or review papers on any aspect of the occurrence of radioactivity in natural systems. Relevant subject areas range from applications of environmental radionuclides as mechanistic or timescale tracers of natural processes to assessments of the radioecological or radiological effects of ambient radioactivity. Papers deal with naturally occurring nuclides or with those created and released by man through nuclear weapons manufacture and testing, energy production, fuel-cycle technology, etc. Reports on radioactivity in the oceans, sediments, rivers, lakes, groundwaters, soils, atmosphere and all divisions of the biosphere are welcomed, but these should not simply be of a monitoring nature unless the data are particularly innovative.