Radon flux estimates, from both gamma radiation and geochemical data, to determine sources, migration pathways, and related health risk: The Campania region (Italy) case study

• DOI: 10.1016/j.chemosphere.2021.132233
• Publication Date: 2021-09-10T09:23:47Z
• Authors: Annalise Guarino; Domenico Cicchella; Annamaria Lima; Stefano Albanese
• Keywords: Air Pollutants; Multifractal IDW; 01 natural sciences; 3. Good health; Italy; Air Pollutants, Radioactive; Gamma Rays; Radiation Monitoring; Radon; 13. Climate action; Terrestrial gamma dose rate; Multifractal IDW; Radionuclides; Regression analysis; Terrestrial gamma dose rate; Gamma Rays; Italy; Air Pollutants, Radioactive; Radiation Monitoring; Radon; Soil Pollutants, Radioactive; Soil Pollutants; Soil Pollutants, Radioactive; Regression analysis; Radioactive; Radionuclides; 0105 earth and related environmental sciences

An empirical method was applied to estimate the 222Rn fluxes distribution across the Campania region (Italy) by using both gamma-rays and U, Th, K concentrations in soils. As a first step, K, Th and U soil concentrations and 4 K, 238U and 232Th activity have been converted into their own specific activity to calculate the Terrestrial Gamma Dose Rate (TGDR). This latter has been then used to determine the 222Rn fluxes across the region. Regardless of the radiometric or geochemical origin, 222Rn fluxes reached, as expected, their maximum values in correspondence with the volcanic centres of Campania (Mt. Somma-Vesuvius, Phlegrean Fields, Mt. Roccamonfina). However, comparing the results obtained from the two different datasets, it was also possible to infer the existence of contributions to surficial 222Rn fluxes proceeding from both some underlying geological bodies and active seismogenic sources. In line with some national regulations, the 222Rn flux esteemed from gamma radiations was also used to assess the possible regional distribution of risk deriving from the indoor environmental exposure to 222Rn; results were compared with standardized incidence rates (SIRs) of lung cancer for an area on the south-western sector of Mt. Somma-Vesuvius showing a potential spatial relationship among flux data and SIRs.