A Study on Time-Scaling Property of Temperature Events

Abstract

This study used detrended fluctuation analysis (DFA) and self-organized criticality method to characterize the temporal fluctuations of temperature events of Jiangxi Province. The DFA results show that the temporal scaling behaviors in temperature events. In shorter temporal scaling, it indicates the similar persistence corresponding to the annual cycle. However, in longer temporal scaling, the trends are different for the four series, which reflect the different inherent dynamic nature of various pollutant series. Furthermore, based on the self-organized criticality (SOC), the frequency-intensity distribution of temperature change satisfied Gutenberg-Richter power-law relation. Then, a numerical sandpile model with decay coefficient is constructed to reveal inherent dynamic mechanism of temperature events based on the idea of sand model. The study on occurring mechanism, temporal evolution and inherent dynamic behavior of temperature events, which could provide the scientific basis and important reference for effective establishing all kinds of emergency plan such as extreme weather disaster prevention, mitigation and relief.