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

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Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 225-226)

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839-842

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Online since:

April 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Birkmann J. Global disaster response and reconstruction: stabilization versus destabilization- challenges of the global disaster response to reduce vulnerability and risk following disasters. In: Doelemeyer A, Zimmer J, Tetzlaff G (eds) Risk and planet earth—natural hazards, vulnerability, integrated adaptation strategies. Schweizerbart, Germany (2010). pp.43-55.

Google Scholar

[2] C. F. Huang, Claudio Moraga: Extracting fuzzy if-then rules by using the information matrix technique. Journal of Computer and System Sciences 70(1) (2005), 26-52.

DOI: 10.1016/j.jcss.2004.05.001

Google Scholar

[3] Chongfu Huang, Yong Shi: Towards efficient fuzzy information processing--using the principle of information diffusion. Physica-Verlag (Springer), Heidelberg, Germany(2002).

Google Scholar

[4] Huang C. F.: Risk assessment of natural disaster—Theory & Practice. Science Press, Beijing (2005).

Google Scholar

[5] ESRI: Inc. MapObjects Internet Map Server User Guide,California, USA(1998).

Google Scholar

[6] ESRI: MapObjects LT Programmer's Reference: MapObject LT 2 ArcGIS. Environmental Systems Research, Institute, Inc. USA (2000). 309 pp.

Google Scholar