DocumentCode :
1715636
Title :
Application of fuzzy logic in seismic zonation
Author :
Guo, Wanwu ; Li, Dongguang ; Watson, Anthony
Author_Institution :
Sch. of Comput. & Inf. Sci., Edith Cowan Univ., Mount Lawley, WA, Australia
Volume :
2
fYear :
2001
Firstpage :
829
Abstract :
In this paper we propose a fuzzy logic system that uses crustal structural features (seismotectonics) and historic seismic activities (seismicity) as two fuzzy inputs for seismic zonation. Seismotectonics is a combination of features from the regional and deep geology, neotectonics, stress field and geophysics whereas seismicity is defined by historic earthquakes and their damages to some specific areas. Applying this fuzzy system to the northeastern Tibetan Plateau, a well-known intraplate seismic region in the world, outlines are not only the existing well-recognised seismic zones where large earthquakes took place in history, but also some areas where there have been no strong shocks occurred for the last 2000 years. The traditional statistical methods are not able to evaluate such areas due to the lack of the historic seismicity information.
Keywords :
earthquakes; fuzzy logic; geophysics computing; seismology; crustal structural features; earthquakes; fuzzy logic; geology; geophysics; historic seismic activities; neotectonics; northeastern Tibetan Plateau; seismic zonation; seismotectonics; stress field; Australia; Earthquakes; Electric shock; Fuzzy logic; Fuzzy systems; Geology; Geophysics computing; Information analysis; Statistical analysis; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN :
0-7803-7293-X
Type :
conf
DOI :
10.1109/FUZZ.2001.1009084
Filename :
1009084
Link To Document :
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