Natural radiation equivalent dose rates assessment in soils and waters of Calabria region, southern Italy
| Autor: | Guagliardi I., Ricca N., Infusino E., Callegari G., Caloiero T. |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Goldschmidt 2020, Honolulu-Hawaii, 21-26 Giugno 2020 info:cnr-pdr/source/autori:Guagliardi I., Ricca N., Infusino E., Callegari G., Caloiero T.,/congresso_nome:Goldschmidt 2020/congresso_luogo:Honolulu-Hawaii/congresso_data:21-26 Giugno 2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine |
| Popis: | In this study, the equivalent dose rate of natural radionuclides (HT) in 99 spring water and surface soil samples was determined using an alfa, beta and gamma high sensitivity detector up within a Geiger-Muller tube and with an external probe NaI (Tl). The samples were collected in the Crati basin (southern Italy), and during the samples collection water quality parameters were detected in situ and at the University of Calabria laboratories. Pearson correlation coefficient analysis was applied to identify and clarify the relationships between water physical-chemical properties, soil and water radioactivity. Results show that the mean HT for spring waters is 97.07 ?Sv/h, with a maximum value of 175 ?Sv/h and a minimum of 31 ?Sv/h. Furthermore, the mean HT for surface soils is 97.92 ?Sv/h, with a maximum value of 147 ?Sv/h and a minimum of 31 ?Sv/h, thus evidencing higher mean HT values than worldwide ones reported by previous literature. Low correlation coefficients were detected between the water HT and conductivity and pH, with r values equal to -0.23 and -0.36, respectively. On the contrary, a reasonable correlation was found between HT in spring water and in soil. This relationship is associated with plutonic and metamorphic crystalline rocks of the Sila Massif and of the Coastal Chain, upon which the Crati basin soils are imposed. The results from this survey for the HT assessment provide an extensive evaluation of the background exposure levels in the studied area. |
| Databáze: | OpenAIRE |
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