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2012 (Vol. 4, Issue: 09)
Article Information:

Risk Assessment on Drought Disaster in China Based on Integrative Cloud Model

Junfei Chen, Shufang Zhao, Quanxi Shao and Huimin Wang
Corresponding Author:  Junfei Chen 

Key words:  Cloud model, drought disaster, index system, risk assessment, , ,
Vol. 4 , (09): 1137-1146
Submitted Accepted Published
December 10, 2011 January 21, 2012 May 01, 2012
Abstract:

This study promotes cloud model for risk assessment of drought disaster. Cloud model is an effective tool in uncertain transforming between qualitative concepts and their quantitative expressions. Cloud is expressed by a concept with three quantitative characteristics of expectation, entropy and hyper entropy and the mapping between qualitative and quantitative is realized. In this study, considering the fuzziness and uncertainty of drought disaster, we established the comprehensive cloudy model based on entropy weight method for evaluating the risk of drought disaster. The disaster-affected rate and disaster-damaged rate are selected as the evaluation indices of drought degree. The model is applied to assess the drought disaster risk in China. The BP neural network, hard division method and integrative cloud model are compared, and the integrative cloud model is shown better for evaluating drought risk. This study shows that risk assessment of drought disaster based on cloud model is feasible and effective and can provide decision-making for the risk assessment of drought disaster.
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  Cite this Reference:
Junfei Chen, Shufang Zhao, Quanxi Shao and Huimin Wang, 2012. Risk Assessment on Drought Disaster in China Based on Integrative Cloud Model.  Research Journal of Applied Sciences, Engineering and Technology, 4(09): 1137-1146.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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