Suppr超能文献

美国乔治亚州亚特兰大市住房和地质条件对室内氡浓度的综合影响。

Confluent impact of housing and geology on indoor radon concentrations in Atlanta, Georgia, United States.

机构信息

Department of Geosciences, Georgia State University, 38 Peachtree Center Avenue, Atlanta, GA 30303, United States of America.

Department of Geosciences, Georgia State University, 38 Peachtree Center Avenue, Atlanta, GA 30303, United States of America; Critigen LLC, 7555 East Hampden Avenue, Suite 415, Denver, CO 80231, United States of America.

出版信息

Sci Total Environ. 2019 Jun 10;668:500-511. doi: 10.1016/j.scitotenv.2019.02.257. Epub 2019 Feb 20.

Abstract

Radon is a naturally released radioactive carcinogenic gas. To estimate radon exposure, studies have examined various risk factors, but limited information exists pertaining to the confluent impact of housing characteristics and geology. This study evaluated the efficacy of housing and geological characteristics to predict radon risk in DeKalb County, Georgia, USA. Four major types of data were used: (1) three databases of indoor radon concentrations (n = 6757); (2) geologic maps of rock types and fault zones; (3) a database of 402 in situ measurements of gamma emissions, and (4) two databases of housing characteristics. The Getis-Ord method was used to delineate hot spots of radon concentrations. Empirical Bayesian Kriging was used to predict gamma radiation at each radon test site. Chi-square tests, bivariate correlation coefficients, and logistic regression were used to examine the impact of geological and housing factors on radon. The results showed that indoor radon levels were more likely to exceed the action level-4 pCi/L (148 Bq/m) designated by the U.S. Environmental Protection Agency-in fault zones, were significantly positively correlated to gamma readings, but significantly negatively related to the presence of a crawlspace foundation and its combination with a slab. The findings suggest that fault mapping and in situ gamma ray measurements, coupled with analysis of foundation types and delineation of hot spots, may be used to prioritize areas for radon screening.

摘要

氡是一种天然释放的放射性致癌气体。为了评估氡暴露,研究已经检查了各种风险因素,但有关住房特征和地质综合影响的信息有限。本研究评估了住房和地质特征在美国佐治亚州迪卡尔布县预测氡风险的效果。使用了四种主要类型的数据:(1)室内氡浓度的三个数据库(n=6757);(2)岩石类型和断层带的地质图;(3)402 个伽马发射原位测量数据库,以及(4)两个住房特征数据库。Getis-Ord 方法用于划定氡浓度热点。经验贝叶斯克里金用于预测每个氡测试点的伽马辐射。卡方检验、二元相关系数和逻辑回归用于研究地质和住房因素对氡的影响。结果表明,室内氡水平更有可能超过美国环境保护署指定的行动水平-4 pCi/L(148 Bq/m),在断层带中,与伽马读数呈显著正相关,但与存在爬行空间基础及其与平板的组合呈显著负相关。研究结果表明,断层测绘和原位伽马射线测量,加上基础类型分析和热点划定,可用于优先进行氡筛选。

相似文献

4
Methodology developed to make the Quebec indoor radon potential map.制定用于制作魁北克室内氡潜力图的方法。
Sci Total Environ. 2014 Mar 1;473-474:372-80. doi: 10.1016/j.scitotenv.2013.12.039. Epub 2013 Dec 27.
5
Distance to faults as a proxy for radon gas concentration in dwellings.住宅中与断层的距离作为氡气浓度的替代指标。
J Environ Radioact. 2016 Feb;152:8-15. doi: 10.1016/j.jenvrad.2015.10.023. Epub 2015 Nov 28.
8
The use of mapped geology as a predictor of radon potential in Norway.在挪威,将地质图用作预测氡气潜力的工具。
J Environ Radioact. 2017 Jan;166(Pt 2):341-354. doi: 10.1016/j.jenvrad.2016.05.031. Epub 2016 Jun 11.
10
Modeling of geogenic radon in Switzerland based on ordered logistic regression.基于有序逻辑回归的瑞士天然源氡建模
J Environ Radioact. 2017 Jan;166(Pt 2):376-381. doi: 10.1016/j.jenvrad.2016.06.007. Epub 2016 Jun 22.

引用本文的文献

6
Active Monitoring of Residential Radon in Rome: A Pilot Study.罗马居民住宅氡的主动监测:一项初步研究。
Int J Environ Res Public Health. 2022 Oct 26;19(21):13917. doi: 10.3390/ijerph192113917.
7
A Geologically Based Indoor-Radon Potential Map of Kentucky.肯塔基州基于地质的室内氡气潜在风险地图。
Geohealth. 2020 Nov 1;4(11):e2020GH000263. doi: 10.1029/2020GH000263. eCollection 2020 Nov.

本文引用的文献

9
Small cell lung cancer in never-smokers.从不吸烟者中的小细胞肺癌。
Eur Respir J. 2016 Mar;47(3):947-53. doi: 10.1183/13993003.01524-2015. Epub 2015 Dec 23.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验