A geographic information systems (GIS) and spatial modeling approach to assessing indoor radon potential at local level.
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.
Zhou
Joey Y
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
Laćan
Igor
I
Liu
Kai-Shen
KS
Waldman
Jed
J
D000396:Air Pollutants, Radioactive / Q000032:analysis*; D040362:Geographic Information Systems; D008962:Models, Theoretical
D000396:Air Pollutants, Radioactive