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Environmental radiation monitoring residential areas in the region of Ukrainian Polissya
Author(s) -
H. Chobotko
Publication year - 2016
Publication title -
agroèkologičeskij žurnal
Language(s) - English
Resource type - Journals
eISSN - 2077-4915
pISSN - 2077-4893
DOI - 10.33730/2077-4893.1.2016.248222
Subject(s) - ukrainian , population , radioactive contamination , environmental science , ecosystem , environmental protection , environmental health , contamination , geography , ecology , medicine , biology , philosophy , linguistics
The paper presents a theoretical analysis and established regularities to identify critical ecosystems and factors that determine the irradiation dose of the population of the Ukrainian Polissya rural residential areas, radioactively contaminated by the Chernobyl accident. It was determined that the definition of critical ecosystems as an essential component of the radiation monitoring should include several basic stages of analysis of factors determining the dose for the region population: first of all, defining the role of forests and forest products in the formation of population doses; defining the contribution and the role of pastures and hayfields in the formation of the region population dose through contamination of milk and meat; defining the actual population diets, which largely determine the doses value; establishing the role of garden products in the formation of the region population doses; establishing the role of countermeasures in the formation of the region population doses. The establishment of these regularities is necessary to determine the critical ecosystems and the factors that determine the value of population doses of Ukrainian Polissia residential areas contaminated with radionuclides due to the CNPP accident. At the prospect it is necessary to plan the research that would consist of two parts : the radiation-hygienic (detection of features of diet and 137Cs internal exposure doses received by residents of Ukrainian Polissya abundant areas due to food consumption) and predictive (mathematical modeling of 137Cs content in forest food products, that significantly affect the population internal dose). The combination of these two parts will help to predict exposure of people as well as specific risks to their health.

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