Abstract
The periodic and long-range correlated volatility of river flow data for 30 rivers around the globe was analyzed. It was found that the volatility series were correlated with a power-law behavior for time scales less than 1 yr. The results suggested that nonlinear features may result from an interaction between noise and the seasonal trends.
Original language | English |
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Article number | 042101 |
Pages (from-to) | 421011-421014 |
Number of pages | 4 |
Journal | Physical Review E |
Volume | 67 |
Issue number | 4 1 |
State | Published - 1 Apr 2003 |
Externally published | Yes |
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Statistics and Probability
- Condensed Matter Physics