Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

Study on Emergency Management System of Dangerous Chemicals Accidents based on the Dynamic Risk

Authors
Xuanya Liu, Jingjing Li, Ning Zhou
Corresponding Author
Xuanya Liu
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.123How to use a DOI?
Keywords
dynamic risk; dangerous chemical accidents; chain accident cause; emergency management
Abstract
According to the characteristics and evolution law of dangerous chemicals accidents, based on disaster accident emergency handling requirements, the research on dynamic risk analysis and prediction technology system of dangerous chemicals accidents were carried out based on real-time dynamic information of accidents. In order to identify the risk factors, the network model of chain accidents causes was set up. And the disaster accident risk prevention and emergency management mode was built based on the dynamic risk monitoring and early warning, which implement the dynamic information integration of risk real-time prediction and emergency management. By using the emergency management system, it can effectively improve the disaster accidents emergency handling skills and abilities.
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Proceedings
7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-242-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/rac-16.2016.123How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuanya Liu
AU  - Jingjing Li
AU  - Ning Zhou
PY  - 2016/11
DA  - 2016/11
TI  - Study on Emergency Management System of Dangerous Chemicals Accidents based on the Dynamic Risk
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
SP  - 764
EP  - 770
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.123
DO  - https://doi.org/10.2991/rac-16.2016.123
ID  - Liu2016/11
ER  -