ISSN:
0016-7835
Keywords:
Key words Counting statistics
;
Earthquake
;
1/f noise
Source:
Springer Online Journal Archives 1860-2000
Topics:
Geosciences
Notes:
Abstract In a variety of biological and physical phenomena, temporal fluctuations are found, which are not explainable as consequences of statistically independent random events. If these fluctuations are characterized by a power spectrum density S ( f ) decaying as f –β at low frequencies, this behaviour is called 1/ f noise. Counting statistics applied to earthquake activity data leads to three time scales with different characteristics, represented by the exponent β: at interval lengths less than 1 h, the shocks are randomly distributed as in a Poisson process. For medium time intervals (1 day to 3 months), the exponent 1+β is larger (1.4 for M 0=3), but approaches unity for higher threshold magnitudes M 0. In longer time ranges the exponent assumes values near 1.55, however, with increasing statistical variation at higher M 0, due to lower counts. The temporal sequence is different from white noise; thus, it might be fruitful to apply neural network algorithms, because this method allows predictions in some other cases with similar characteristics.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00192068
