• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种利用贝叶斯统计改进奥地利氡潜能图的方法。

An approach to improve the Austrian Radon Potential Map by Bayesian statistics.

机构信息

University of Vienna, Faculty of Physics, Nuclear Physics, Währingerstr. 17, A 1090 Vienna, Austria.

出版信息

J Environ Radioact. 2010 Oct;101(10):804-8. doi: 10.1016/j.jenvrad.2009.11.008. Epub 2009 Dec 21.

DOI:10.1016/j.jenvrad.2009.11.008
PMID:20022149
Abstract

A Radon Potential Map as well as a mean indoor Radon Concentration Map is available from the Austrian National Radon Project (1992-2002). These maps are based on the average Radon Potential/Concentration within every municipality and they sort municipalities into three radon 'risk' classes. This is a convenient way for the administration, but it does not describe the real radon risk distribution within a municipality because of the often inhomogeneous geological situation. Therefore, a combination of indoor radon data with all relevant parameters such as house type, storey and ventilation rates along with geological information should be used to improve the existing radon maps. The method, described here, uses Bayes' theory to combine the Radon Potential derived from indoor radon measurements with information from geology. The existing Radon Potential Map was improved by using available soil gas radon data at certain geological units and extrapolated transfer factors. The modifications of the map are shown and several problems arising with the application of this technique are discussed.

摘要

一份氡潜能图以及一份平均室内氡浓度图可从奥地利国家氡计划(1992-2002)获得。这些地图是基于每个直辖市的平均氡潜能/浓度,它们将直辖市分为三个氡“风险”类别。这对行政部门来说是一种方便的方式,但由于地质情况经常不均匀,它并不能描述直辖市内的实际氡风险分布。因此,应该将室内氡数据与所有相关参数(如房屋类型、楼层和通风率)以及地质信息结合起来,以改进现有的氡图。这里描述的方法使用贝叶斯理论将从室内氡测量中得出的氡潜能与地质信息结合起来。通过在某些地质单元使用可用的土壤气体氡数据和外推转移因子,对现有的氡潜能图进行了改进。展示了地图的修改,并讨论了应用该技术时出现的几个问题。

相似文献

1
An approach to improve the Austrian Radon Potential Map by Bayesian statistics.一种利用贝叶斯统计改进奥地利氡潜能图的方法。
J Environ Radioact. 2010 Oct;101(10):804-8. doi: 10.1016/j.jenvrad.2009.11.008. Epub 2009 Dec 21.
2
Comparison of Northern Ireland radon maps based on indoor radon measurements and geology with maps derived by predictive modelling of airborne radiometric and ground permeability data.基于室内氡测量和地质数据的北爱尔兰氡图与基于航空放射性和地面渗透率数据的预测建模得出的氡图的比较。
Sci Total Environ. 2011 Mar 15;409(8):1572-83. doi: 10.1016/j.scitotenv.2011.01.023.
3
A geostatistical autopsy of the Austrian indoor radon survey (1992-2002).奥地利室内氡气调查(1992 - 2002年)的地统计学尸检。
Sci Total Environ. 2007 May 15;377(2-3):378-95. doi: 10.1016/j.scitotenv.2007.02.012. Epub 2007 Mar 21.
4
Combination of geological data and radon survey results for radon mapping.结合地质数据和氡测量结果进行氡制图。
J Environ Radioact. 2012 Oct;112:1-3. doi: 10.1016/j.jenvrad.2012.02.013. Epub 2012 Mar 30.
5
Soil gas radon, indoor radon and gamma dose rate in CZ: contribution to geostatistical methods for European atlas of natural radiations.捷克共和国的土壤气体氡、室内氡及伽马剂量率:对欧洲自然辐射地图集地统计方法的贡献。
Radiat Prot Dosimetry. 2008;130(1):81-4. doi: 10.1093/rpd/ncn107. Epub 2008 Apr 8.
6
Indoor radon, geogenic radon surrogates and geology - Investigations on their correlation.室内氡、地质成因氡替代物与地质——它们的相关性研究。
J Environ Radioact. 2017 Jan;166(Pt 2):382-389. doi: 10.1016/j.jenvrad.2016.04.028. Epub 2016 May 4.
7
Soil gas radon measurements in a region of the Bohemian Massif: investigations in the framework of an Austrian pilot study.波希米亚地块某区域的土壤气体氡测量:奥地利一项试点研究框架内的调查
Radiat Prot Dosimetry. 2011 May;145(2-3):329-32. doi: 10.1093/rpd/ncr089. Epub 2011 Apr 16.
8
Indoor and outdoor Radon concentration measurements in Sivas, Turkey, in comparison with geological setting.土耳其锡瓦斯的室内和室外氡浓度测量与地质背景的比较。
J Environ Radioact. 2010 Nov;101(11):952-7. doi: 10.1016/j.jenvrad.2010.06.013. Epub 2010 Jul 27.
9
Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units.基于地质单元自动聚类的集成回归树改进室内氡浓度预测映射
J Environ Radioact. 2015 Sep;147:51-62. doi: 10.1016/j.jenvrad.2015.05.006. Epub 2015 May 28.
10
Final results of the Austrian Radon Project.奥地利氡项目的最终结果。
Health Phys. 2005 Oct;89(4):339-48. doi: 10.1097/01.hp.0000167228.18113.27.

引用本文的文献

1
The use of gamma-survey measurements to better understand radon potential in urban areas.利用伽马测量来更好地了解城市地区的氡潜在风险。
Sci Total Environ. 2017 Dec 31;607-608:888-899. doi: 10.1016/j.scitotenv.2017.07.022. Epub 2017 Jul 27.
2
Mapping radon hazard areas using U measurements and geological units: a study in a high background radiation city of China.利用铀测量和地质单元绘制氡危险区域:中国一个高本底辐射城市的研究。
J Radioanal Nucl Chem. 2016;309:1209-1215. doi: 10.1007/s10967-016-4717-5. Epub 2016 Feb 23.