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Multifractal analysis of daily rainfall from a monsoon watershed in Eastern China

机译：中国东部季风流域日降水量的多重分形分析

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摘要

The multifractal behavior of daily rainfall was investigated for a watershed in Eastern China to better understand the temporal structure of rainfall under monsoonal climate. In this study, over periods of up to 46 years, daily rainfall recorded in 1962 to 2007 at 10 meteorological stations in the administrative area of Lin-Yi City in Shandong province were analyzed with focus on features of power spectra, standard statistical moments, and exceedance probability tails of these daily rainfall time series. Spectral analysis and study of the moments of the rainfall intensity showed that a scaling range from 1 day to 1 year is present. Empirical moment scaling functions of the rainfall intensity calculated for different moments of order suggested that the values of universal multifractal parameters α and C_1 for all stations were approximated to 0.7 and 0.37, respectively. Comparing with the parameters estimated in other literatures, our results showed higher values for α but lower values for C_1 in general, which suggested that the rainfall series in the study watershed influenced by the East-Asia monsoon climate have similarities to that in France, but are spikier and smoother than that in the semi-arid region in Portugal. The parameter H values were estimated as vary from -0.18 to -0.22, which is similar to the result obtained by Tessier et al. (J Geophys Res-Atmos 101:26427-26440, 1996).
机译：为了更好地了解季风气候下降雨的时间结构，对中国东部一个流域的日降雨的多重分形行为进行了研究。在这项长达46年的研究中，以功率谱的特征，标准的统计矩和标准差为特征，分析了1962年至2007年山东省临沂市行政区域内10个气象站的日降水量。这些每日降雨时间序列的超标概率尾巴。光谱分析和降雨强度矩的研究表明，存在的尺度范围为1天至1年。针对不同阶次矩计算的降雨强度的经验矩缩放函数表明，所有站的通用多重分形参数α和C_1的值分别近似为0.7和0.37。与其他文献中估计的参数相比，我们的结果总体上显示出较高的α值但较低的C_1值，这表明受东亚季风气候影响的该研究流域的降雨序列与法国相似，但比葡萄牙的半干旱地区更加滑顺和光滑。估计参数H值在-0.18至-0.22之间变化，这与Tessier等人获得的结果相似。 （J Geophys Res-Atmos 101：26427-26440，1996）。

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  • 来源
    《Theoretical and applied climatology》 |2012年第4期|p.591-598|共8页
  • 作者

    Liu Yonghe; Zhang Wanchang; Zhang Kexin; Pei Hongqin;

  • 作者单位

    Institute of Resources and Environment,Henan Polytechnic University,Jiaozuo 454000, People's Republic of China,Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029, People's Republic of China;

    Center for Hydro-sciences Research, Nanjing University,Nanjing 210093, People's Republic of China;

    Linyi Meteorological Bureau of Shandong Province,Linyi 276004, People's Republic of China;

    Linyi Meteorological Bureau of Shandong Province,Linyi 276004, People's Republic of China;

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