Back to Search
Start Over
Multifractal characteristics analysis of daily reference evapotranspiration in different climate zones of China.
- Source :
-
Physica A . Dec2021, Vol. 583, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- As a critical hydrological cycle parameter, reference evapotranspiration (ET 0) plays a vital role in guiding agricultural water management. Analyzing the multifractal nature of ET 0 can clarify the complex fluctuations and obtain insights into the evolutionary mechanism and the regular patterns of the time series. The present study used the Multifractal Detrended Fluctuation Analysis (MFDFA) method to explore the multifractality of daily ET 0 series from 1961 to 2017, which filtered the seasonal component at 719 weather stations in seven sub-regions of China. The results indicated that the ET 0 series exhibited persistence and presented a decreasing trend in all sub-regions as the value of h (2) was exceeded 0.5 and the right-skewed was displayed in the multifractal spectrum. Multifractality existed and showed heterogeneity among various sub-regions, where NE was characterized by the strongest multifractality, followed by NW, IM, CSC, QT, SC, and NC. Both long-range correlation and broad probability density function contributed to the multifractality, and the long-range correlation played a dominant role in multifractality. This study is helpful to understand the complex fluctuation of ET 0 series, and provides new ideas for accurately predicting agricultural water demand and formulating scientific irrigation schedules in different climate zones of China. • Comprehensive multifractal analysis of daily E T 0 series. • E T 0 series exhibited persistence and would persist in a decreasing trend in the future. • Multifractality existed in and differed from sub-regions with the strongest in NE. • Long-range correlation was the dominant source of multifractality. • Visualization of the spatial distribution of persistence and multifractality in China. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03784371
- Volume :
- 583
- Database :
- Academic Search Index
- Journal :
- Physica A
- Publication Type :
- Academic Journal
- Accession number :
- 152496088
- Full Text :
- https://doi.org/10.1016/j.physa.2021.126273