Literature DB >> 30852225

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

Dajun Dai1, Fredrick B Neal2, Jeremy Diem3, Daniel M Deocampo3, Christine Stauber4, Timothy Dignam5.   

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/m3) 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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fault; GIS; Gamma; Housing characteristics; Radon

Mesh:

Substances:

Year:  2019        PMID: 30852225      PMCID: PMC6456363          DOI: 10.1016/j.scitotenv.2019.02.257

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  43 in total

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Journal:  BMJ       Date:  2004-12-21

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Journal:  Radiat Prot Dosimetry       Date:  2006-07-25       Impact factor: 0.972

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6.  Seasonal variation in indoor radon concentrations in dwellings in six districts of the Punjab province, Pakistan.

Authors:  Munazza Faheem; N Mati
Journal:  J Radiol Prot       Date:  2007-11-27       Impact factor: 1.394

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Authors:  Christian T Bautista; Adeline S T Chan; Jeffrey R Ryan; Carlos Calampa; Marty H Roper; Allen W Hightower; Alan J Magill
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Journal:  Health Phys       Date:  2007-10       Impact factor: 1.316

9.  Metal contamination in urban, suburban, and country park soils of Hong Kong: a study based on GIS and multivariate statistics.

Authors:  Celine Siu-Lan Lee; Xiangdong Li; Wenzhong Shi; Sharon Ching-nga Cheung; Iain Thornton
Journal:  Sci Total Environ       Date:  2006-03-01       Impact factor: 7.963

10.  Understanding the spatial clustering of severe acute respiratory syndrome (SARS) in Hong Kong.

Authors:  P C Lai; C M Wong; A J Hedley; S V Lo; P Y Leung; J Kong; G M Leung
Journal:  Environ Health Perspect       Date:  2004-11       Impact factor: 9.031

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  1 in total

1.  A Geologically Based Indoor-Radon Potential Map of Kentucky.

Authors:  William C Haneberg; Amanda Wiggins; Douglas C Curl; Stephen F Greb; William M Andrews; Kathy Rademacher; Mary Kay Rayens; Ellen J Hahn
Journal:  Geohealth       Date:  2020-11-01
  1 in total

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