Taylor's power law in the Wenchuan earthquake sequence with fluctuation scaling

Abstract

Abstract. Taylor's power law (TPL) describes the scaling relationship between the temporal or spatial variance and mean of population densities by a simple power law. TPL has been widely testified across space and time in biomedical sciences, botany, ecology, economics, epidemiology, and other fields. In this paper, TPL is analytically reconfirmed by testifying the variance as a function of the mean of the released energy of earthquakes with different magnitudes on varying timescales during the Wenchuan earthquake sequence. Estimates of the exponent of TPL are approximately 2, showing that there is mutual attraction among the events in the sequence. On the other hand, the spatio-temporal distribution of the Wenchuan aftershocks tends to be nonrandom but approximately definite and deterministic, which highly indicates a stable spatio-temporally dependent energy release caused by regional stress adjustment and redistribution during the fault revolution after the mainshock. The effect of different divisions on estimation of the intercept of TPL straight line has been checked, while the exponent is kept to be 2. The result shows that the intercept acts as a logarithm function of the time division. It implies that the mean–variance relationship of the energy release from the earthquakes can be predicted, although we cannot accurately know the occurrence time and locations of imminent events.

Spatial and temporal autocorrelations affect Taylor's law for US county populations: Descriptive and predictive models

“…TL has been confirmed for thousands of biological taxa under various biological and environmental conditions [2], ranging from laboratory bacterial microcosms [3] to natural forest stands [4]; from agricultural crops [5,6] to wildlife animals [7]; and from free-living species to parasitized species [8,9]. TL has also been observed in non-biological systems [10][11][12][13][14][15][16].…”