Number № 14

A.Y. Andreev; Y.A. Andreev, Doctor of Science in Engineering Sciences Full, Senior Research Officer
Siberian Federal University

The types of forest fires, methods of assessment of forest fire risks and determining the stock of forest combustible materials in various forests types depending on the average age of the prevailing trees and methods for calculating the intensity of ground fires and carbon emissions were considered. Based on the data studied, the intensity of ground fires in different types of forests of different ages and carbon emissions under different weather conditions were calculated.

Open » // Citation link

A.V. Kalach¹, Holder of an Advanced Doctorate in Chemical Sciences, Full professor; E.V. Kalach¹, Ph.D. of Engineering Sciences, Docent; A.M. Tararykin^2
1Voronezh State Technical University;
²Ural Institute of the State Ministry of Emergency Situations of Russia

The analysis and synthesis of information on fires and their consequences in the territory of the Russian Federation for the period 2014-2018 presented. Special attention paid to the peculiarities of distribution of the main indicators of the situation with fires in the territory of the Russian Federation depending on the type of fire objects.

Structural and structural-parametric models of potential opportunities for making management decisions in the state fire service built. The structural and parametric model of potential management decision-making capabilities in the fire service will allow to create adequate and up-to-date models of optimization of measure selection to ensure the specified level of fire safety of objects.

Open » // Citation link

G.S. Duplyakov¹; A.S. Gorbunov²; M.V. Elfimova¹, Ph.D. of Engineering Sciences; I.V. Nadeikin³, Ph.D. of Engineering Sciences
¹Siberian Fire and Rescue Academy of Firefighting Service of EMERCOM of Russia;
²FSBI «Forensic expert organization Federal Fire Service № 93 «fire testing laboratory» оf Emergencies of Russia»;
³Siberian federal university

The article deals with the problems of collection and research of statistical data of dangerous technogenic phenomena of the Russian oil industry. The analysis and generalization of the results of relevant statistical studies in this area. Statistical distributions are presented by: requency of occurrence of dangerous technogenic phenomena in the oil industry of the Russian Federation; fires and explosions depending on the object of occurrence; the causes and sources of ignition of fires and explosions at the facilities of oil and petroleum products warehouses; the circumstances accompanying emergence of fires and explosions on objects of warehouses of oil and oil products.

Open » // Citation link