Interaction matrices as a first step toward a general model of radionuclide cycling: Application to the 137Cs behavior in a grassland ecosystem |
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Authors: | H R Velasco J J Ayub M Belli U Sansone |
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Institution: | (1) GEA - Instituto de Matemática Aplicada San Luis (IMASL), Universidad Nacional de San Luis, Consejo Nacional de Investigaciones Científicas y Técnicas, Ej. de los Andes 950, D5700HHW San Luis, Argentina;(2) GEA - Instituto de Matemática Aplicada San Luis (IMASL), Universidad Nacional de San Luis, Consejo Nacional de Investigaciones Científicas y Técnicas, Ej. de los Andes 950, D5700HHW San Luis, Argentina;(3) Agenzia per la Protezione dell'Ambiente e per i Servizi Tecnici (APAT), Servizio di Metrologia Ambientale, Via di Castel Romano, 100, I-00128 Roma, Italy;(4) International Atomic Energy Agency (IAEA), Agency's Laboratories Seibersdorf, A-1400 Vienna, Austria |
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Abstract: | Summary Interaction matrices, an expert semi quantitative method to identify multiple interactions among biotic and abiotic components
of the ecosystem can be considered as a useful tool to develop conceptual models of the behavior of radionuclides in the environment.
This systematic approach facilitates a comprehensible identification of the pathways of the main radionuclides and permits
classification of the role of different ecosystem components in terms of cause-effect relationships. The method was applied
to study the radiocesium migration in grassland ecosystem affected by the Chernobyl 137Cs deposition. Interaction matrices have been simultaneously utilized to explore the dynamic changes on the radiocesium migration
pathways and to compare the consequences of the various radiation exposure paths to living organisms. |
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