SOFTWARE AND MODELS FOR RADIATION MONITORING

DOI: 10.31673/2412-4338.2023.044658

Abstract

The study of foreign and domestic existing software complexes and systems in the field of radiation monitoring of the environment and research on the impact of radiation on human health is conducted. Replacing mathematical models for modelling processes during the pollution by radionuclides of various components of the environment (atmosphere, water, and soil resources) and research on their impact on the state of health of the population. For example, atmospheric dispersion models (ATSTEP, RIMPUFF, DIPCOT, LASAT, MATCH), WRF-Ukraine weather forecast model, Gaussian model, Lagrange-Eileereva model of atmospheric transmission radionuclides LEDI, model of distribution of radionuclides in the atmosphere due to their lifting from the surface of the Earth, model lifting and distributing radionuclides in the atmosphere because of fires, three-dimensional model of TREETOKS (reservoirs) etc. The ways of entering radionuclides in the human body are determined, namely: to enter radionuclides with water, soil, infected food products, external irradiation from the soil, as well as inhalation of radionuclides from the air. The systematization of software under this parameter has been carried out. It has been found that most existing systems do not provide a comprehensive approach to determine the radiation risk for environmental objects and the health status of the population. Considered systems are not based on operational information receipt for rapid response to specialists in non-resistant situations, since they are designed to work as local systems and are tied to the workplace of specialists. Considering the above-mentioned disadvantages, the development of a system that will provide a comprehensive assessment and forecasting of the impact of radioactive substances on the health of the population and to provide recommendations to minimize negative impacts.

Keywords: radiation monitoring, radionuclides, public health, mathematical models of environmental pollution processe; complex eco-energy-economic monitoring.

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