Indoor radon prediction for residential houses

W.G. Li, Q. Yao, Wei-Tong Chen
{"title":"Indoor radon prediction for residential houses","authors":"W.G. Li, Q. Yao, Wei-Tong Chen","doi":"10.1109/ISUMA.1995.527691","DOIUrl":null,"url":null,"abstract":"Radon is a radioactive, odorless, colorless and naturally-occurring gas. It can significantly damage the respiratory tissue when there is prolonged exposure to elevated concentrations of the gas. Constant exposure to high concentration of radon gas may cause lung cancer. Researchers have concentrated on investigating the factors that affect radon entry and to designing mitigation methods in preventing radon intrusion. Radon gas entry is affected by soil properties, house physical characteristics and outside forces (wind, temperature changes). Indoor radon level can be predicted by using an experimental model which is based on previous experience and experimental results. Based on previous experience and the Florida Radon Research Projects, an indoor radon prediction model is developed to predict the potential indoor radon levels by the combination effect of average area indoor radon level, aerial radioactivity, geology, soil permeability and structural type. The predicted indoor radon levels could be a critical index for further treatment of the house.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISUMA.1995.527691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Radon is a radioactive, odorless, colorless and naturally-occurring gas. It can significantly damage the respiratory tissue when there is prolonged exposure to elevated concentrations of the gas. Constant exposure to high concentration of radon gas may cause lung cancer. Researchers have concentrated on investigating the factors that affect radon entry and to designing mitigation methods in preventing radon intrusion. Radon gas entry is affected by soil properties, house physical characteristics and outside forces (wind, temperature changes). Indoor radon level can be predicted by using an experimental model which is based on previous experience and experimental results. Based on previous experience and the Florida Radon Research Projects, an indoor radon prediction model is developed to predict the potential indoor radon levels by the combination effect of average area indoor radon level, aerial radioactivity, geology, soil permeability and structural type. The predicted indoor radon levels could be a critical index for further treatment of the house.
住宅室内氡预测
氡是一种放射性、无味、无色的天然气体。当长时间暴露在高浓度的气体中时,它会严重损害呼吸组织。长期接触高浓度的氡气可能导致肺癌。研究人员集中于研究影响氡进入的因素和设计防止氡侵入的减缓方法。氡气进入受土壤性质、房屋物理特性和外力(风、温度变化)的影响。室内氡水平可以根据以往的经验和实验结果建立实验模型进行预测。根据以往的经验和美国佛罗里达州氡研究项目,建立了室内氡预测模型,利用平均面积室内氡水平、航空放射性、地质、土壤渗透性和结构类型的综合效应预测室内潜在氡水平。预测的室内氡水平可能是房屋进一步处理的关键指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信