MAO Jun-jun; ZHU Liang-yan; ZHANG Xue-you; WU-tao;
This paper analyses the dynamic characteristics and evolutionary principle of Hefei’s temperature over the past fifty-four years, it combine R/S analysis with wavelet transform, choosing db4 wavelet function, deconstruct and reconstruct the original data. It analyses the temperature based on multi-fractal analysis, discusses the stability, long-term memory, statistical self-similarity and multi-fractal of the temperature trend in Hefei from fractal dimension, non-periodic length of circulation, singular index, and multi-fractal spectrum. Analysis results show that the temperature change in Hefei whose level is clear has a multiple-scale structure, the fractal dimension of Janmary, August, November shows that the irregular degrees and the complexities of temperatures are higher than the others.