Contamination of environment by radionuclides in territories under urboecosystem conditions is actual problem. The search of new express methods for radioactivity determination of environment is important task of research. In present work it was shown that mosses are bioindicators of radioactive contamination, because they accumulate radioactive substances in high concentrations. Using of bryoindication methods are promising techniques for the assessment of the contamination of ecosystems with radionuclides. The use of epiphytic mosses is the most efficient technique for assessing the contents of radionuclides in the surface air layer. The epiphytic moss (Pylaisia polyantha) growing in different zones of the city of Rostov-on-Don, was used for the radioactivity biomonitoring of urbosystems. The accumulation features of radionuclides in the epitaphic pylaisiella moss (Pylaisia polyantha) in the territory of the city of Rostov-on-Don have been considered. It was shown that Pylaisia polyantha is effective indicator of radioactivity for biomonitoring. The activity concentration of 137Cs, 226Ra, 40K and 232Th in the samples of moss, soils and aerosol air have been compared. The capacity of Pylaisia polyantha to accumulate radionuclides has been estimated for four radionuclides (137Cs, 226Ra, 232Th and 40K) with consideration for the background level. On the basis of radionuclide analysis, zones in the city of Rostov-on-Don with the highest accumulation coefficients of 137Cs, 226Ra, 40K and 232Th were revealed. These were primarily the zones with both industrial and traffic loads and the motor transport zones. The results of investigation showed that the epiphytic moss (Pylaisia polyantha) can be used as indicator of radioactivity pollution in different polluted zones.
CITATION STYLE
Varduni, T. V., Minkina, T. M., Buraeva, E. A., Gorbov, S. N., Mandzhieva, S. S., Omel’Chenko, G. V., … Sushkova, S. N. (2014). Accumulation of radionuclides by pylaisiella moss (Pylaisia polyantha) under urboecosystem conditions. American Journal of Applied Sciences, 11(10), 1735–1742. https://doi.org/10.3844/ajassp.2014.1735.1742
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