Title :
Development of Typhoon disaster risk evaluation and early warning system integrating real-time rainfall data from the satellite
Author :
Xing, Liwei ; Hu, Deyong ; Tang, Lili
Author_Institution :
Coll. of Resource Environ. & Tourism, Capital Normal Univ., Beijing, China
Abstract :
Typhoon is one of the worst natural disasters in the world. Sustainable development of the social and economic of our country is restricted by the effect of Typhoon. High-intensity rainfall brought by Typhoon is an important factor in the formation of disaster. There are two factors, the hazard of the Typhoon disaster control factors and the vulnerability of the regions Typhoon disaster happened, to evaluate Typhoon disaster comprehensive hazard. The Typhoon disaster hazard evaluation and early warning system is developed using the Development Kit ArcEngine based on COM-GIS and integrating real-time rainfall data from the satellite. Collection and storage of the data of Typhoon, searching and visualization of the path of Typhoon, storage of the location of real-time Typhoon point, early Warning of real-time Typhoon point, forecast of the next Typhoon point, early warning of the path of Typhoon and Typhoon disaster hazard Evaluation functions and so on are realized. It provides scientific basis for the evaluation and forecast of disasters and command decision-making of Typhoon disaster control.
Keywords :
decision making; disasters; geographic information systems; geophysical techniques; geophysics computing; rain; risk management; storms; sustainable development; ArcEngine; COM-GIS; decision-making; early warning system; high-intensity rainfall; natural disasters; real-time rainfall data; real-time typhoon point; sustainable development; typhoon disaster comprehensive hazard; typhoon disaster control factors; typhoon disaster hazard evaluation functions; typhoon disaster risk evaluation; Alarm systems; Databases; Hazards; Real time systems; Risk management; Satellites; Typhoons; Typhoon; early warning; hazard evaluation; real-time rainfall data;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5981067