Title :
Integration of GIS and Computational Models for Emergency Management
Author :
Chen Tao ; Yuan Hong-yong ; Yang Rui ; Chen Jianguo
Author_Institution :
Dept. of Eng. Phys., Tsinghua Univ., Beijing
Abstract :
This paper presents a method to integrate GIS and computational models in emergency intelligent decision support system (IDSS) for more scientific and effective loss prevention and disaster manipulation. The value of GIS in emergency management arises directly from the benefits of integrating a technology to support spatial decision making. Now many simulation models requiring spatio-temporal information are used to study emergency or disaster scenarios. When they are integrated with GIS for emergency risk analysis and visualization, their effects can be significantly enhanced. Architecture for integration of disaster simulation models with GIS was presented. Disaster evolution prediction, impact areas demarcation, human behavior simulation and real-time data acquisition were integrated and considered in a correlative manner. The results were further visualized on GIS maps for better situation understanding and decision making.
Keywords :
data acquisition; decision making; decision support systems; disasters; emergency services; geographic information systems; real-time systems; risk analysis; GIS; computational models; disaster evolution prediction; disaster manipulation; disaster simulation models; emergency intelligent decision support system; emergency management; emergency risk analysis; human behavior simulation; impact areas demarcation; loss prevention; real-time data acquisition; risk visualization; spatial decision making; spatio-temporal information; Computational intelligence; Computational modeling; Data visualization; Decision making; Decision support systems; Disaster management; Geographic Information Systems; Intelligent systems; Risk analysis; Technology management;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.25