Published October 1, 2019 | Version v1
Journal article

Study on the Influencing Factors for Emergency Rescue of Nuclear Leakage

  • 1. Institute of Disaster Prevention Science and Safety Technology, Central South University, Changsha (China)
  • 2. School of Resources and Safety Engineering, Central South University, Changsha (China)

Description

In order to study the key influencing factors of emergency rescue for nuclear leakage, based on the five aspects of nuclear emergency capability, reactor characteristics, surrounding environment, weather and climate, and accident time, we constructs a Markov probability transfer model for the influencing factors of emergency rescue for nuclear leakage by combining the cross impact and Markov transfer prediction, and a gulf nuclear power plant is selected as an illustrative case. In addition, the initial probability matrix is reasonably determined by the expert scoring method, and the stable matrix which can reflect the stability probability of each factor is finally obtained after the cross impact analysis and multiple Markov state transitions. The results show that the probability of nuclear emergency capability is increased in the emergency response analysis of nuclear leakage incidents, which truly reflects the development direction and degree of cross impact. Furthermore, it provides reference opinions for the emergency response of nuclear leakage incidents in the future. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/612/5/052014

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
612
Journal Issue
5
Journal Page Range
[10 p.]
ISSN
1757-899X

Conference

Title
6. International Conference on Advanced Composite Materials and Manufacturing Engineering
Dates
22-23 Jun 2019
Place
Yunnan (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52122046
Subject category
S22: GENERAL STUDIES OF NUCLEAR REACTORS; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCIDENT MANAGEMENT; FORECASTING; MARKOV PROCESS; MATRICES; NUCLEAR POWER PLANTS; RADIATION ACCIDENTS; REACTOR ACCIDENTS; RISK ASSESSMENT
Descriptors DEC
ACCIDENTS; MANAGEMENT; NUCLEAR FACILITIES; POWER PLANTS; STOCHASTIC PROCESSES; THERMAL POWER PLANTS