Issue |
E3S Web Conf.
Volume 376, 2023
International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2023)
|
|
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Article Number | 01091 | |
Number of page(s) | 11 | |
Section | I Environmental Risks and Safety in Mechanical Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202337601091 | |
Published online | 31 March 2023 |
Ability to use available electronic resources for modeling the development of forest fires
1 Voronezh State Technical University, 20-letiya Oktyabrya Street, 84, 394006, Voronezh, Russia
2 Moscow State University of Civil Engineering", 129337, Yaroslavskoe shosse, 26, Moscow, Russia
* Corresponding author: u00075@vgasu.vrn.ru
The article discusses various types of monitoring of forest fires, studied and analyzed satellites that are used by the space monitoring system of the Ministry of Emergency Situations of Russia for remote sensing of the Earth. The statistical data of the Forestry Department on forest fires over the past 15 years in the territory of the Voronezh region are given. The dependence of the number of forest fires on meteorological conditions, in particular on the amount of precipitation, wind gusts and air temperature, was studied using the example of 2010 and 2020. The municipalities that are most prone to forest fires are identified. The monitoring systems of the forest fire situation on the territory of the Voronezh region, which are used in the crisis management center of the Main Directorate of the Ministry of Emergency Situations of Russia for the Voronezh region, are analyzed. The program "Forest Fires" has also been developed to predict the spread of forest fires based on the Methodology for assessing the consequences of forest fires, developed by the All-Russian Research Institute of Civil Defense and Emergency Situations in 1994 and put into effect by the order of the Ministry of Emergency Situations of Russia dated 14.04.1995. No. 194. A comparative analysis of the solution of the same problem with the same initial data in the developed program "Forest Fires" and in the risk analysis and management system (SAUR) of the automated information control system of the unified state system for the prevention and elimination of emergencies (AIUS RSChS) is presented.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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