Forecasting accurately typhoon disaster condition is very important for preventing typhoon disaster. This paper studied a typhoon disaster condition forecasting system of Guangdong Province. forecasting model, the system divided typhoon disasters and typhoon paths and reducing To build the Guangdong Province into four areas, introduced the vulnerability of regional as evaluation factors, adopted the nonlinear GA-BP neural network, and trained and tested typhoon data of Guangdong Province between 2000 and 2005. The built system used the C# ＋ Arc Engine for post development and finally formed a typhoon forecasting system that integrates the function of GIS, aiming to provide decision aids for the preventing typhoon and reducing disaster work.
typhoon disaster condition forecastingGA-BPgeographic information system ( GIS )Guangdong Province
NETL
NSTL
万方数据
维普
