title: Indoor radon concentration forecasting in South Tyrol.
abstract: In this paper a modern statistical technique of multivariate analysis is applied to an indoor radon concentration data base. Several parameters are more or less significant in determining the radon concentration inside a building. The elaboration of the information available on South Tyrol makes it possible both to identify the statistically significant variables and to build up a statistical model that allows us to forecast the radon concentration in dwellings, when the values of the same variables involved are given. The results confirm the complexity of the phenomenon.
authors.affiliation: APPA Bolzano (Environmental Protection Agency of South Tyrol), Via Amba Alagi 5, I-39100 Bolzano, Italy. luca.verdi@provincia.bz.it
authors.forename: L
authors.initials: L
authors.lastname: Verdi
authors.forename: A
authors.initials: A
authors.lastname: Weber
authors.forename: G
authors.initials: G
authors.lastname: Stoppa
mesh_terms: D000396:Air Pollutants, Radioactive / Q000032:analysis*; D016902:Air Pollution, Indoor / Q000032:analysis*; D000465:Algorithms; D003198:Computer Simulation; D005544:Forecasting / Q000379:methods; D040362:Geographic Information Systems; D007558:Italy / Q000453:epidemiology; D015233:Models, Statistical; D015999:Multivariate Analysis; D011829:Radiation Dosage; D011834:Radiation Monitoring / Q000379:methods*; D011874:Radiometry / Q000379:methods; D011886:Radon / Q000032:analysis*; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D019371:Topography, Medical / Q000379:methods
chemical_list: D000396:Air Pollutants, Radioactive; D011886:Radon