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A Knowledge‐based Expert System for Natural Disaster Prediction Using Geomorphological and Geological Information
Author(s) -
Kashiyama Kazuo,
Ohashi Masakazu,
Suzuki Takasuke
Publication year - 1992
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.1992.tb00438.x
Subject(s) - key (lock) , natural (archaeology) , natural disaster , feature (linguistics) , computer science , expert system , data mining , data science , artificial intelligence , geography , archaeology , computer security , meteorology , linguistics , philosophy
A knowledge‐based expert system for the prediction of natural disaster potential is presented in this paper. The key feature of this system is that it predicts the natural disaster potential using the information of geomorphological and geological features of the examined site. The input data are obtained from topographic maps, geological maps, aerial photographs and other sources available. This system is developed for use with the personal computer and users can operate this system interactively. The results obtained are compared with actual disasters. These comparative studies indicate that the present system provides a useful tool for the prediction of natural disaster potential at the arbitrary sites.