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The European Physical Journal Plus
Article . 2023 . Peer-reviewed
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Zeolites identification for wastewater radionuclides removal in the decommissioning of a former Italian nuclear power plant

Authors: Ambrosino F.; Esposito A. M.; Mancini F.; La Verde G.; Sabbarese C.; Caputo D.; Pugliese M.;

Zeolites identification for wastewater radionuclides removal in the decommissioning of a former Italian nuclear power plant

Abstract

AbstractRadionuclides are widely known to produce serious problem when released and dispersed in the environment because they can contaminate humans through food chains, affecting metabolic process and causing health diseases to the population. A large amount of radionuclides is produced as waste during the process of nuclear facility operation, maintenance, and decommissioning. Wastewater contains many radioactivemetal ions. During the last three decades, after Chernobyl accident and then that of Fukushima, several techniques have been developed for the removal of radionuclides from the environment and from wastewater aiming of inertization. One of the most recent techniques, and in continuous progress, is the radionuclides removal by adsorption using natural and/or synthesized materials having high retention capacity and being resistant to radiation. The most used type of material, cheap and easy-to-find, is zeolite due to its high ion exchange capacity, adsorption efficiency and abundance. This work concerns a preliminary study on zeolites identification for the removal of radionuclides in wastewater samples from the fuel storage of the former nuclear power plant of Latina, Italy. The activity concentration of the radionuclides in the samples was investigated by γ- and α-spectrometry. The wastewater samples contain the radionuclides 137Cs, 60Co and 241Am, and the best solution for their removal was discovered to be the zeolite A. The obtained results can be enlarged to all former Italian nuclear facilities.

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Italy
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    7
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    Average
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Top 10%
hybrid