OPTIMIZATION OF THE RADIOACTIVE AEROSOL SAMPLING AND MEASURING PROCEDURE WITH RESPECT TO RADON CONCENTRATION IN THE AIR

Author:

Hýža Miroslav1,Rulík Petr1,Bednář Vojtěch2

Affiliation:

1. National Radiation Protection Institute, Bartoškova 28, 140 00 Prague, Czech Republic

2. NUVIA a.s., Modřínová 1094, 674 01 Třebíč, Třebíč, Czech Republic

Abstract

Abstract High-volume aerosol samplers combined with laboratory analysis using high-resolution gamma ray spectrometry allow determining artificial radionuclides in the atmosphere at sub μBq/m3 levels. A major drawback of this procedure is a significant delay of the analysis result after any potential radioactive contamination deposition on the aerosol filter. Within the scope of the HAMRAD project, an autonomous device was developed in order to increase the sampling and measuring frequency. This approach yields higher detection limits (minimum detectable activity concentration [MDAC]) due to the deposited activity of radon decay products on the filter. In order to quantify the radon effect, a simple mathematical model was developed to predict MDAC for the particular radionuclide of interest for the given background conditions. It was found that MDAC can vary by a factor of ~2 for typical ‘radon’ conditions (~10 Bq/m3) at SÚRO Prague and by a factor up to 5 for high radon concentration (100 Bq/m3).

Funder

Ministry of the Interior of the Czech Republic

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Radiology, Nuclear Medicine and imaging,General Medicine,Radiation,Radiological and Ultrasound Technology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3