{"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.