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A geographic information systems (GIS) and spatial modeling approach to assessing indoor radon potential at local level.
Zhou, Joey Y; Lacan, Igor; Liu, Kai-Shen; Waldman, Jed.
Affiliation
  • Zhou JY; California Department of Health Services, Environmental Health Laboratory Branch, 850 Marina Bay Pkwy, Mailstop G365/EHLB, Richmond, CA 94804, USA. ilacan@nature.Berkeley.edu
Appl Radiat Isot ; 64(4): 490-6, 2006 Apr.
Article in En | MEDLINE | ID: mdl-16314109
ABSTRACT
This study integrates residential radon data from previous studies in Southern California (USA), into a geographic information system (GIS) linked with statistical techniques. A difference (p<0.05) is found in the indoor radon in residences grouped by radon-potential zones. Using a novel Monte Carlo approach, we found that the mean distance from elevated-radon residences (concentration>74 Bq m(-3)) to epicenters of large (> 4 Richter) earthquakes was smaller (p<0.0001) than the average residence-to-epicenter distance, suggesting an association between the elevated indoor-radon and seismic activities.
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Collection: 01-internacional Database: MEDLINE Main subject: Geographic Information Systems / Air Pollutants, Radioactive / Models, Theoretical Language: En Journal: Appl Radiat Isot Journal subject: MEDICINA NUCLEAR / SAUDE AMBIENTAL Year: 2006 Document type: Article Affiliation country: United States
Search on Google
Add to My VHL
Print
XML
PubMed Links

Collection: 01-internacional Database: MEDLINE Main subject: Geographic Information Systems / Air Pollutants, Radioactive / Models, Theoretical Language: En Journal: Appl Radiat Isot Journal subject: MEDICINA NUCLEAR / SAUDE AMBIENTAL Year: 2006 Document type: Article Affiliation country: United States