Title :
An expert system for managing emergency response of air pollution
Author_Institution :
Dept. of Environ. & Property Manage., Jinwen Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
The purpose of this study is to establish an intelligent expert system for air pollution emergency response. A knowledge-based decision support system for emergency response and risk management of air pollution was presented in this paper. The mathematical pattern relationship of air pollution effects on neighboring area and the corresponding response measures were presented in this paper. With this decision system, the decision maker can specify the procedure and minimize their human error in the decision process.
Keywords :
air pollution; decision support systems; disasters; emergency services; expert systems; risk management; air pollution; emergency response management; environmental disaster; human error minimization; intelligent expert system; knowledge-based decision support system; mathematical pattern relationship; risk management; Air pollution; Atmospheric modeling; Biological system modeling; Emergency services; Pollution measurement; Predictive models; Storms; Air pollution; Emergency response; Expert system; Risk management;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580846
