- Radioactive contamination and transfer
- Environmental and Industrial Safety
- Atmospheric chemistry and aerosols
- Radioactivity and Radon Measurements
- Nuclear Issues and Defense
- Information Systems and Technology Applications
- Atmospheric and Environmental Gas Dynamics
- Innovative Educational Technologies
Institute of Mathematical Machines and Systems Problems
2020-2022
The emission inventories of cesium-137 resulting from the wildfires in Chernobyl Exclusion Zone (3–24 April 2020) and dust storm (16–17 2020), which resuspended contaminated ash, were estimated using inverse modeling. goal this work was to take into account uncertainties inexactly known source term meteorological input data for evaluation their confidence limits, by developing Ensemble Iterative Source Inversion Method (EISIM). A set receptor matrices (SRMs) calculated FLEXPART atmospheric...
The paper presents the results of simulation secondary air pollution scenario in Ukraine due to wind lift anthropogenic radionuclides during a dust storm April 2020. A variant Bagnold formula was used parameterize intensity radionuclide resuspension. To set initial territory Ukraine, reconstruction meteorological conditions and fallout Cs-137 after disaster at Chernobyl nuclear power plant carried out through use RODOS emergency response system WRF model. For normalized root-mean-square...
The paper reviews the methods for identifying an unknown source of pollution by inverse mod-eling and information systems air forecasting analysis. Several different for-eign Ukrainian systems, such as European Union's Nuclear Emergency Response System RODOS, have been developed on basis atmospheric transport models. However, key data that determine quality in sys-tems are characteristics emission sources. In case detection from source, there should be performed simulation. use RODOS system,...
In this paper, software tools for automating the inverse calculation of atmospheric transport model were developed as a part pilot version system analyzing unknown sources pollution in case their detection by monitoring networks. By min-imizing defined quality function, probability source location at certain geo-graphical point, its duration, and time onset depending on location, together with vol-ume emission, can be analyzed. The source-receptor function is calculated using well-known...
<p>The dynamics of emissions radioactive aerosols during powerful wildfires (3-23 April 2020) and dust storm (16-17 in the Chernobyl Exclusion Zone (ChEZ) was estimated using an ensemble inverse method. The unique feature this event is that unprecedented power ChEZ were combined with on 16-17 2020, which covered Northern-West Central Ukraine. Due to both events, levels Cs-137 concentrations air increased significantly above background levels. In our study, covariance matrices...
The paper improves the web service Povitrya aimed at forecasting air pollution in case of man-made disasters by saving configured CALPUFF atmospheric transport model a pre-configured image and integrating into system software tools for automatic creation virtual machines from pre-saved after user request. To do this, an based on Ubuntu operating was Ukrainian National Grid Infrastructure, to-gether with necessary libraries. Based saved image, one can quickly create run machine start...