Title :
Risk Analysis of Meteorological Factor Based on Information Diffusion Theory
Author :
Feng, Lihua ; Mao, Zhanglin ; Zhao, Xianchan
Author_Institution :
Dept. of Geogr., Zhejiang Normal Univ., Jinhua, China
Abstract :
The meteorological disasters become more aggravated with the rapid progress of the economy in recent years. They occur frequently, affect large areas of the community, hence constituting a huge threat to human life and property. In this paper the risk analysis method, based on information diffusion theory, was used to advance a model for risk analysis of meteorological factor. Application of the model was also illustrated taking the Jinhua hydrometric station and Qiantang River drainage basins as examples. The result also indicated that the information diffusion technology is highly capable of extracting sufficient useful information and therefore improves the system recognition accuracy.
Keywords :
disasters; information theory; meteorology; risk analysis; information diffusion theory; meteorological disasters; meteorological factor; risk analysis; Automation; Data mining; Equations; Frequency estimation; Fuzzy sets; Geography; Humans; Meteorological factors; Meteorology; Risk analysis; factor; index; meteorological disaster; risk level;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.203