کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
977334 1480168 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multifractal analyses of daily rainfall time series in Pearl River basin of China
ترجمه فارسی عنوان
تجزیه و تحلیل مولتی فرکتال سری زمانی بارندگی روزانه در حوضه رودخانه مروارید چین
کلمات کلیدی
سری زمانی بارندگی روزانه، داروی مولتی فکتال مدل مولتی فاکتور جهانی، تجزیه و تحلیل نوسانات مولتی فاکتوریل
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی


• Multifractal properties of daily rainfall data in Pearl river basin are examined.
• The universal multifractal model (UMM) and the MF-DFA are used.
• It is found that the empirical K(q)K(q) curves can be fitted very well by UMM.
• The estimated values of HH indicate that the data correspond to conserved fields.
• A relatively strong correlation between K(2)K(2) and elevation is found.

The multifractal properties of daily rainfall time series at the stations in Pearl River basin of China over periods of up to 45 years are examined using the universal multifractal approach based on the multiplicative cascade model and the multifractal detrended fluctuation analysis (MF-DFA). The results from these two kinds of multifractal analyses show that the daily rainfall time series in this basin have multifractal behavior in two different time scale ranges. It is found that the empirical multifractal moment function K(q)K(q) of the daily rainfall time series can be fitted very well by the universal multifractal model (UMM). The estimated values of the conservation parameter HH from UMM for these daily rainfall data are close to zero indicating that they correspond to conserved fields. After removing the seasonal trend in the rainfall data, the estimated values of the exponent h(2)h(2) from MF-DFA indicate that the daily rainfall time series in Pearl River basin exhibit no long-term correlations. It is also found that K(2)K(2) and elevation series are negatively correlated. It shows a relationship between topography and rainfall variability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 405, 1 July 2014, Pages 193–202
نویسندگان
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