USE OF INTERPOLATION METHODS FOR PROCESSING OF RADIATION INTELLIGENCE DATA

DOI: 10.31673/2412-4338.2024.017378

Abstract

The article examines information technology using interpolation methods for processing radioactive contamination data. Measurements of impact factors after a nuclear explosion include shock wave overpressure, light pulse, penetrating radiation, and radiation dose rate. During data processing, the task of accounting for errors is solved, both when measuring different factors and when measuring the same factor, but with different technical means, which leads to the need to solve a system of nonlinear transcendental equations. Interpolation methods are used to describe the field of radiation contamination of the area, and the best results are achieved with a sufficient density of radiation dose power measurements, which are carried out with high accuracy and uniformly in the area of reconnaissance. Fulfillment of such conditions, with a lack of time to make a decision and the existing technical means of dosimetry, are relevant. In our scientific studies, interpolation methods are used in radiation monitoring systems in the presence of a wide network of stationary sensors connected to communication channels.
The interpretation of radiation reconnaissance data using interpolation methods does not allow using a priori information about the parameters of the cell and the conditions for the formation of radiation contamination of the area. Joint accounting in the processing of these data allows you to combine the stages of forecasting and detection of the actual situation into a single process.

Keywords: radiation situation, radiation situation monitoring systems, information processing algorithm, radiation situation mapping, ecosystems, radioactive pollution, radiation situation forecast, local pollution.

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