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 |
|---|---|
| Article number | 042101 |
| Pages (from-to) | 421011-421014 |
| Number of pages | 4 |
| Journal | Physical Review E |
| Volume | 67 |
| Issue number | 4 1 |
| State | Published - Apr 2003 |