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
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