摘要
应用多分形去趋势涨落分析(MF-DFA)方法,研究了中国地区相对湿度和温度序列的多分形特征差异,并对比分析了其对应的奇异谱3个参数(奇异谱宽度α、奇异谱不对称性αas和长程相关性α0)的特征。结果表明:1)相对湿度序列的多分形强度弱于温度序列;2)相对湿度序列多分形性强的地区与温度序列有较大差异,前者主要位于我国西南地区,后者主要在华南和黄河以北地区;3)相对湿度序列的多分形不对称性强于温度序列;4)相对湿度序列的奇异谱均为左偏,温度序列则基本是对称的;5)相对湿度序列的长程相关性大于温度序列。奇异谱的3个特征参数的组合完整地刻画了特定的长程相关特性,相对湿度和温度序列多分形特征的不同,揭示了其生成动力过程的差异。
The different multi-fractal behaviors of relative humidity and temperature over China are studied by means of multi-fractal detrended fluctuation analysis(MF-DFA for short) method.Three multi-fractal parameters(the spectrum width α,the asymmetry αas and the long range correlation index α0) of singularity spectrum are introduced to quantify the multi-fractal behaviors.Results show that multi-fractality in humidity daily records are stronger than that of temperature’s;stations with strong multi-fractality of relative humidity and temperature lie in different regions: southwest of China for relative humidity and South China and north of the Yellow River for the latter;asymmetry of singularity of relative humidity records is weaker than that of temperature’s and their singularity spectra exhibit left-skewed;singularity spectrum of temperature records exhibit symmetry on the whole;long range correlation of relative humidity records is higher than that of temperature’s.Combination of three parameters of multi-fractal spectrum stands for a kind of long range correlations and different behaviors of them reveal different dynamics underlying relative humidity and temperature.
出处
《北京大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2012年第3期399-404,共6页
Acta Scientiarum Naturalium Universitatis Pekinensis
基金
国家自然科学基金(40775040
40975027)资助
关键词
长程相关性
标度指数
多分形
多分形去趋势涨落分析
long range correlation
scaling exponent
multi-fractal
multi-fractal detrended fluctuation analysis