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检测未知来源的放射性:基于反演建模的防护措施。

Detection of radioactivity of unknown origin: Protective actions based on inverse modelling.

机构信息

National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands.

National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands.

出版信息

J Environ Radioact. 2021 Sep;235-236:106643. doi: 10.1016/j.jenvrad.2021.106643. Epub 2021 May 24.

Abstract

The detection of radioactivity of unknown origin necessitates the use of models that can quantify unknown corresponding source term parameters. In this work, a method for solving this inverse problem is described. The main goal of the method is that it can be used in emergency response. Therefore, the full modelling chain dealing with the collection and pre-processing of measurement data, source term estimation, (forward) dispersion modelling, and consequence assessment are discussed. Firstly, to verify this inverse model SHERLOC, the part of the modelling chain concerning the source term estimation based on measurement data, is applied to the first episode of the European Tracer Experiment (ETEX). Secondly, the complete model chain is applied to a release that is still unaccounted for; the Ru measured in the atmosphere of Europe in September and October of 2017. It is estimated that during the night of the 25th to the 26th of September 2017 approximately 1.33 PBq (1.33×10 Bq) of Ru was emitted at a location in the region of the Southern Urals in the Russian Federation. Statistical indicators show that the modelled levels of concentration are in good agreement with the measurements. The radiological consequences of the release are estimated to be minor at distances farther than 22 km from the estimated source. However, in the vicinity of the emission the maximum committed dose received by the public may have exceeded 100 mSv. Since the presented approach can be executed within few hours after the collection of measurement data it can be used in the emergency response following the detection of radioactivity of unknown origin.

摘要

对未知来源放射性的探测需要使用能够量化未知相应源项参数的模型。本文描述了一种解决该反问题的方法。该方法的主要目标是能够用于应急响应。因此,讨论了涉及测量数据采集和预处理、源项估计、(正向)弥散建模和后果评估的完整建模链。首先,为了验证这个反演模型 SHERLOC,应用于测量数据的源项估计部分的建模链被应用于欧洲示踪剂实验(ETEX)的第一个事件。其次,完整的模型链被应用于一个尚未解释的释放事件;2017 年 9 月和 10 月在欧洲大气中测量到的 Ru。据估计,在 2017 年 9 月 25 日至 26 日夜间,俄罗斯联邦南部乌拉尔地区的一个地点排放了约 1.33 PBq(1.33×10 Bq)的 Ru。统计指标表明,模型化的浓度水平与测量值吻合良好。估计在距离估计源 22 公里以外的地方,释放的放射性后果较小。然而,在排放物附近,公众可能接收到的最大承诺剂量已经超过 100 mSv。由于所提出的方法可以在收集测量数据后的几个小时内执行,因此可以用于探测未知来源放射性后的应急响应。

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