A Fuzzy Logic Application for Explain Relationships Between 222Rn Concentration and Earthquakes
Abstract
Earthquake
behaviors are, in general, among the non-linear topics of physics. Unfortunately
researches up to now could not yet propose a complete mathematical model for
earthquake behavior prediction possibilities. The main reason for not being
able to establish such a model is due to the non-linear behavior of the
earthquake and its generation is dependent on a variety of indigenous factors.
Mathematical expressions and modeling of the non-linear systems is
comparatively difficult and sometimes requires high speed and memory computers.
For this reason, the expert systems as Fuzzy Logic (FL) are now commonly used
for such modelling. Model is suggested a system to examine the
space-time behavior of any physical phenomena through a set of convenient
mathematical expressions, which describe linear or non-linear aspects. Fuzzy
logic applications have a fast increase in past few years. Fuzzy logic
modelling can be a very powerful explains about internal structure of dynamic
system. The most commonly used indicator in earthquake prediction studies is
soil radon gas (222Rn). In this study, we have tried to explain
relationships between 222Rn and earthquakes using fuzzy logic. The
application region is performed for 222Rn data of Mersin region near
the East Anatolian Fault System, Turkey.
Keywords
References
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