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Elemental composition of mammals in natural and anthropogenic areas and their ranking using the USEtox model

Abstract : The geochemical heterogeneity of the biosphere, due to different natural and anthropogenic conditions, is changing significantly as a result of the development of man and society. Modern geo-ecological studies of different territories prove the fact of close connections of living organisms with the environment. However, little attention is paid to the complex approach, for example with the use of the model of impact assessment on living organisms. The Life Cycle Assessment (LCA) method, is allowed the magnitude and significance of the impact on the environment and the human organism to be monitored. The characteristic coefficient (CF) - is a tabular value, proposed by the model, depending on the region's location. In this thesis, however, it is proposed to modify this coefficient by introducing the results of biogeochemical analysis of territories with different ecological situations, in order to rank them more precisely. It is this modification, which determines the relevance of the study. The PhD thesis is purposed to assess the geo-ecological state of local areas of Russia and Kazakhstan with the use of indicators of the elemental compositions of organs and tissues of mammals, and a ranking of the toxicity of individual elements using the USEtox model. The modification method of the USEtox impact assessment model, using the results of the chemical analysis, can be used as a local supplement in the assessment of toxic effects on the population.
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Submitted on : Monday, February 24, 2020 - 1:33:08 PM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM


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  • HAL Id : tel-02489324, version 1


Alexandra Belyanovskaya. Elemental composition of mammals in natural and anthropogenic areas and their ranking using the USEtox model. Other [cond-mat.other]. Ecole nationale supérieure d'arts et métiers - ENSAM; Université polytechnique de Tomsk (Russie), 2019. English. ⟨NNT : 2019ENAM0049⟩. ⟨tel-02489324⟩



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