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Theory of Reliability in Radiation Ecology

Репозитарій Національного Авіаційного Університету

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Title Theory of Reliability in Radiation Ecology
 
Creator Kutlakhmedov, Yuriy Alekseevich
Salivon, Anastasiya Georgievna
Phelovskya, Svetlana Anatolyevna
Rodyna, Victor Vladimirovich
Matveeva, Irina Valeryevna
Petrusenko, Valentina Pavlovna
 
Subject reliability
ecosystems
radiation ecology
radiocapacity
137Cs-tracer
geoinformation technologies
 
Description Proceedings of the international symposium on stochastic models in reliability engineering, life science and operations management
For twenty years after Chernobyl catastrophe, we studied capability of plants of different kinds to store and retain the radionuclide tracer 137Cs as the measure of stability and reliability of the ecosystem biota exposed to gamma-radiation and chemical pollutants. We introduced two parameters to quantify the ecosystem reliability. First, radiocapacity is defined as the upper level of radionuclide contamination, above which the ecosystem biota species begin to manifest depression and/or suppression of growth. Then, the factor of radiocapacity is defined as probability of the biota constituents to retain the radionuclide tracer. The more is
the factor of radiocapacity the higher is reliability of the relevant biota components. With knowledge of the ecosystem structure and these parameters, it is possible to estimate ability of ecosystems to provide the proper distribution and redistribution of the tracer. In particular, we showed that ecosystems of the serious type of organization, like slope and mining ones that are incapable to provide the proper pollutant migration, exhibit low radiocapacity and, thus, low reliability. Using this approach along with the data of geoinformational analysis, we can predict the principal seats of location of pollutants in specific ecosystems and estimate
appropriate dose loads and risks.
 
Date 2016-12-07T20:13:27Z
2016-12-07T20:13:27Z
2010
 
Type Thesis
 
Identifier http://er.nau.edu.ua/handle/NAU/23676
 
Language en
 
Format application/pdf
 
Publisher Industrial Engineering and Management Department SCE - Shamoon College of Engineering Beer Sheva (Israel)
 

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