The Radiation Background Research on the Kharkiv Historical Center Territory
Abstract
The radiation background were performed in the historical center of Kharkiv with its cultural and religious historical objects, city administration, educational institutions, banking establishments, numerous cafes and restaurants, as well as shops is always important.
Purpose. To perform the study of the state of radiation background in the historical center of Kharkiv and the radiation pollution maps construction.
Methods. Using the dosimeter MKC-05 "TEPPA", regression mapping methods
Results. Continuous X-ray and gamma-ray dose rate measurements were conducted on the territory of Kharkiv city center, which is bounded by the Lopan and Kharkiv rivers prior to their confluence, during October 2019. A simple model for constructing the field of radiation background on the terrain according to the results of the dose rate of continuous X-ray and gamma radiation measurements at a finite number of fixed observation points using the equation of a continuous linear regression along a broken line connecting the center of the zone to the farthest peripheral anti-clockwise, or counter - clockwise to the outer center was developed. The radiation pollution maps were developed according to the average values of the radiation dose rate, which has been calculated using both regression models. The error of the model has been considered as a half of the absolute difference of these values. It was determined that the maximum dose rate was observed near the 23rd checkpoint - the beginning of the Kharkiv Bridge. The minimum dose rate - at the 16th and 17th points - the "arrows" of two rivers - Lopan and Kharkiv and near the 24th point - in the square on the Kharkiv river embankment.
Conclusions. The condition of the radiation background in the territory of the historical center of Kharkiv during October 2019 is within the normal range. The model made it possible to build a reliable map of radiation pollution on the controlled area based on local measurements results at a certain number of control points and to determine the absolute prediction error, which did not exceed the instrument division. The model can be used for monitoring other types of pollution.
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