Risk Assessment Model to Natural Disaster in County Unit Based on Information Diffusion Technology

2011 ◽  
Vol 225-226 ◽  
pp. 839-842 ◽  
Author(s):  
Lu Hao ◽  
Xiao Yu Zhang ◽  
Zhi Liang Shu
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Natural Disaster ◽  
Information Diffusion ◽  
Disaster Risk ◽  
Assessment Model ◽  
Data Series ◽  
Analysis Model ◽  
Disaster Risk Analysis ◽  
County Unit

Accurate assessment to disaster risk is one of the keys to reducing disaster losses. However, due to the fact that the disaster situation data series in county unit are always relatively short, available data are often not sufficient for disaster risk analysis. In this paper, a risk analysis method based on information diffusion theory was applied to create a new disaster risk analysis model (CURAM), and the risk of disaster can be evaluated on higher spatial resolution of county unit. Visual Basic and Map Objects were used to establish CURAM applying object oriented technique and component technique. CURAM provided risk evaluate function to natural disaster in county unit, and thematic map making and output, etc. The risk assessment results calculated by CURAM indicated that information diffusion technology was highly capable of extracting useful information and therefore improved system recognition accuracy.

scholarly journals A Review of the Possibility of Assessment Indicators for Natural Disaster Risk Analysis through Expert Survey

2021 ◽  
Vol 21 (1) ◽  
pp. 47-55
Author(s):  
Keumji Kim ◽  
Jeonggeun Hwang ◽  
Gahui Kim ◽  
Dojoon Jung
Keyword(s):  
Risk Analysis ◽  
Natural Disaster ◽  
Local Governments ◽  
Disaster Risk ◽  
Potential Danger ◽  
Expert Survey ◽  
The World ◽  
Disaster Risk Analysis ◽  
Natural Disaster Risk ◽  
The Government

In recent years, the frequent occurrence of extreme weather due to climate change has increased the possibility of potential danger across the world. Additionally, South Korea has been consistently exposed to disaster risk. Studies on the prediction of damage from natural disasters are critical for the government and local governments to formulate disaster recovery policies. However, the scope of risk analysis evaluation indicators currently utilized by the relevant organizations comprises limitations, as there are no consistent standards for indicator selection. From this viewpoint, this study selected 118 surrogate indicators, including indicators frequently used in previous studies, and conducted a survey with 52 experts in the disaster field to examine the possibility of use of these indicators. As a result of the expert survey, 37 indicators were analyzed as “very appropriate” and 54 indicators were analyzed as “appropriate” regarding their possibility of use. Finally, we suggested four natural disaster risk assessment methods, which can be used in policymaking by the government and local governments in the future.

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