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开发和校准一种可修改的被动采样器,用于监测不同环境中的大气氚水蒸汽。

Development and calibration of a modifiable passive sampler for monitoring atmospheric tritiated water vapor in different environments.

机构信息

Institute of Radioecology and Radiation Protection, Leibniz Universität Hannover, 30419 Hannover, Germany; Institute of Radiation Medicine, Fudan University, Shanghai 200032, China.

Institute of Radioecology and Radiation Protection, Leibniz Universität Hannover, 30419 Hannover, Germany; TU Wien, Institute of Applied Synthetic Chemistry & TRIGA Center Atominstitut, 1060 Vienna, Austria.

出版信息

Environ Int. 2022 Nov;169:107505. doi: 10.1016/j.envint.2022.107505. Epub 2022 Sep 6.

Abstract

Anthropogenic release of tritium from nuclear facilities is expected to increase significantly in the coming decades, which may cause radiation exposure to humans through the contamination of water and food chains. It is necessary and urgent to acquire detailed information about tritium in various environments for studying its behavior and assessing the potential radiation risk. In the atmosphere, although the passive sampling technique provides a low-cost and convenient way to characterize the dynamics of tritiated water vapor (HTO), a single, simple sampler configuration makes it difficult to collect sufficient and representative samples within the expected period from different environments. In this study, we systematically studied the impacts of sampler configurations on sampling performance and proposed a modifiable sampler design by scaling sampler geometry and adjusting absorbent to achieve different monitoring demands. The samplers were subsequently deployed at five sites in China and Germany for the field calibration and the measured results exhibited a good agreement between the adsorption process obtained in sites corrected with diffusion coefficient and the one calibrated in Shanghai. This suggests the feasibility of predicting sampling performance in the field based on known data. Finally, we developed a strategy for sampler modification and selection in different environments and demonstrated that using easily obtainable environmental data, our sampler can be optimized for any area without any time-consuming preliminary experiments. This work provides a scientific basis for establishing high-resolution atmospheric HTO database and expands the conventional empirical sampler design paradigm by demonstrating the feasibility of using quantitative indices for sampler performance customization.

摘要

人为向核设施释放氚预计将在未来几十年内显著增加,这可能通过污染水和食物链对人类造成辐射照射。为了研究氚的行为并评估潜在的辐射风险,有必要且迫切需要获得各种环境中氚的详细信息。在大气中,虽然被动采样技术为描述氚化水汽(HTO)的动态特性提供了一种低成本、便捷的方法,但单一、简单的采样器配置使得难以在不同环境中从预期时间段内收集足够且有代表性的样本。在这项研究中,我们系统地研究了采样器配置对采样性能的影响,并通过缩放采样器几何形状和调整吸收剂提出了一种可修改的采样器设计,以实现不同的监测需求。随后,这些采样器被部署在中国和德国的五个地点进行现场校准,测量结果表明,用与扩散系数校正的现场吸附过程与在上海校准的吸附过程吻合较好。这表明基于已知数据预测现场采样性能是可行的。最后,我们制定了在不同环境中修改和选择采样器的策略,并证明了我们的采样器可以使用易于获取的环境数据进行优化,而无需进行任何耗时的初步实验。这项工作为建立高分辨率大气 HTO 数据库提供了科学依据,并通过展示使用定量指标定制采样器性能的可行性,扩展了传统的经验采样器设计范例。

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