Title :
Severe rainfall prediction method using artificial intelligence
Author :
Oishi, S. ; Ikebuchi, S. ; Kojiri, T.
Author_Institution :
Disaster Prevention Res. Inst., Kyoto Univ., Japan
Abstract :
A severe rainfall prediction method using artificial intelligence, which can forecast the time series variation and spatial distribution of severe rainfall is developed for supporting flood control management. This method is unprecedented in the sense that severe rainfall is predicted mainly based on the physical processes of cloud development, qualitative reasoning, and the model based reasoning
Keywords :
common-sense reasoning; knowledge based systems; rain; time series; weather forecasting; AI; MBR; QR; SRAI; artificial intelligence; cloud development processes; flood control management; model based reasoning; qualitative reasoning; severe rainfall prediction method; spatial distribution; time series variation; Artificial intelligence; Atmosphere; Atmospheric modeling; Clouds; Floods; Physics computing; Prediction methods; Predictive models; Weather forecasting; Wind forecasting;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.727615
