Russian Ministry of the Emergency Situations

About: Russian Ministry of the Emergency Situations is a government organization based out in Moscow, Russia. It is known for research contribution in the topics: Combustion & Liquid crystal. The organization has 218 authors who have published 172 publications receiving 453 citations. The organization is also known as: Ministry of the Russian Federation for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters.

Modelling the accidental oil spills at potentially hazardous facilities in the Arctic zone of Krasnoyarsk Krai

Abstract: Intensified human activity in exploiting the natural resources leads to increasing technogenic load on Arctic's fragile ecosystem. The boost in industrial facilities is associated with a growing number of stationary fuel reservoirs poorly monitored due to their considerable remoteness and extreme weather conditions. The 2020 emergency in the Arctic zone of Krasnoyarsk Krai exposed the lack of adequate methods for risk assessment and behaviour in case of accidents at potentially hazardous facilities. The existing methodologies for assessing the area of spill following an accidental depressurisation present significant limitations. Most methodologies are based on analytical models not taking into account the physics of processes. This work uses modelling with neural networks of oil spill at the potentially hazardous object located in the Arctic territory of the Krasnoyarsk Krai. The software used was neural network simulator NeuroPro, developed in the Institute of Computational Modelling of Krasnoyarsk Scientific Centre of SB RAS. For training the neural network there were used daily operational data on fourteen main vectors affecting the propagation rate. The neural network modelling of the accidental oil spill during the depressurization of one of the fuel tanks at potentially hazardous facilities in the Arctic zone in 2020 correlated perfectly with the real data.

Detection and evaluation of fires occupying small territories by remote sensing data from NOAA meteorological satellites

Abstract: The paper discusses the experience of creating a geoinformation technology for the use of AVHRR data with spatial resolution of 1.1 km for detection and evaluation of characteristics for fires the linear dimensions of which are by several orders lower than a pixel of image. The technology is based on the effective algorithm of detecting small area brightness anomalies which in some statistical sense differ from the surrounding background. The process of making a decision on the presence or absence of a signal is based on the methods of the statistical estimation theory. The Neumann- Pirson criterion is used as the initial detection principle which provides the detection with the constant frequency of false alarm. The evaluation of the area of the fire zone is carried out on the basis of complex interpretation of mathematical modeling results for the field of the image brightness, optimal evaluation of the signal amplitude and geodata. The developed information technology allows to detect fire zones the area of which is 10-4 of the area of image pixel.© (1997) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Results on laboratory-instrumental studies of atmospheric air after fire suppression

Abstract: The paper presents the results of laboratory-instrumental studies of atmospheric air sampled during the first day after fire suppression in different localization. Carbon oxide, hydrochloride, hydrocyanide, nitrogen oxides, sulfur dioxide, and dioxins were determined in the air samples taken. The comparison was made with the hygienic standards established by SanPiN 1.2.3685-21 “Hygienic standards and requirements to ensure safety and (or) harmlessness for humans of environmental factors”. Analysis of the obtained data showed that the concentrations of most of the detected toxic combustion products one day after fire suppression were at a level close to MAC for the working area air, but significantly exceeded MAC established for the atmospheric air of urban and rural settlements. The largest exceedances were obtained at sites such as industrial and residential buildings, which can be explained by the use of a wide range of building materials.

On Extreme Disentanglement of Clutters in the Polesskii Estimates of the Boundaries of Combinatorial Reliability of Random Binary Systems

Abstract: Consideration was given to the so-called "Polesskii estimates" which define new, more accurate reliability boundaries of the random binary systems as compared with the classical Esary-Proshan estimates. As was later shown, these estimates can be further refined. By giving a simplified, that is, purely applied, interpretation of the formal Polesskii rules, the present author demonstrated that Polesskii's concepts in principle enable one to reach the maximum disentanglement of clutters, thus substantially approaching the reliability boundaries of the random binary systems. The results of comparing the Polesskii estimates with other possible lines to attack the approachment of the boundaries of combinatorial reliability of the random binary systems were presented.