Assessment of the maximum possible number of victims of accidents at hazardous production facilities for insurance purposes
Creators
- 1. Peter the Great St.Petersburg Polytechnic University (Russian Federation)
Description
In this article, we will familiarize with the currently used methods of assessing the6 maximum possible number of victims, their analysis and construction of algorithms, followed by a comparison of the results, on the basis of which the most optimal method of assessing the maximum possible number of victims will be chosen. An approach to assessing the maximum number of victims, based on the modeling of the territorial distribution of people within the zone of damaging factors. One of the complex and urgent tasks in the framework of the application of existing approaches to the assessment of the maximum possible number of victims for insurance purposes is the problem of modeling the density of the distribution of people within the zones of the affecting factors. The most adequate approach is based on the discretization of the density over the territory of the site by dividing it into areas, for example, by imposing a certain grid. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/666/1/012096Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 666
- Journal Issue
- 1
- Journal Page Range
- [10 p.]
- ISSN
- 1757-899X
Conference
- Title
- International Scientific-Practical Conference on Quality Management and Reliability of Technical Systems
- Dates
- 20-21 Jun 2019
- Place
- St Petersburg (Russian Federation)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54075680
- Subject category
- S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACCIDENT MANAGEMENT; ALGORITHMS; COMPUTERIZED SIMULATION; DENSITY
- Descriptors DEC
- MANAGEMENT; MATHEMATICAL LOGIC; PHYSICAL PROPERTIES; SIMULATION