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A Typhoon Disaster Loss Evaluation System Based on Multi-models

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Typhoon Impact and Crisis Management

Part of the book series: Advances in Natural and Technological Hazards Research ((NTHR,volume 40))

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Abstract

Typhoon disasters cause serious economic losses and human casualties every year. An accurate evaluation system for typhoon disaster losses is the prerequisite for preventing and reducing the consequences of the disasters. In this chapter, a multi-model system is introduced. Based on the databases of typhoon information, this system establishes a comprehensive evaluation model which is capable of evaluating the possible losses before, during, and after typhoon disasters and automatically generating disaster ranks. Accordingly, a report consisting of disaster losses and coping strategies is proposed by this system. This chapter illustrates the functional framework, the database design, the model construction, the evaluation methods and the generating report of the system. Besides, partial demonstrations and experimental results are also provided.

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Acknowledgments

This research was supported by: (1) Guangdong Natural Science Foundation Team Research Project, China, “Hazard Evaluation on Typhoons and Examination on Their Biological Effect in the South China Coastal Area Based on Satellite Remote Sensing” (8351030101000002). (2) Science and Technology Planning Project of Guangdong Province, China, “Development of Emergency Response System of Major Typhoon Disaster and Urban Fire Disaster” (2010B031900041). (3) Science and Technology Planning Project of Guangdong Province, China, “Research on Real Classification System of Peer-to-Peer Network Traffic based on Machine Learning Method” (2009B080701031).

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Correspondence to AiMin Yang .

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Yang, A., Sui, G., Tang, D., Chen, H., Lin, J. (2014). A Typhoon Disaster Loss Evaluation System Based on Multi-models. In: Tang, D., Sui, G. (eds) Typhoon Impact and Crisis Management. Advances in Natural and Technological Hazards Research, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40695-9_26

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