 |
| Titel |
Scale invariance of daily runoff time series in agricultural watersheds |
| VerfasserIn |
X. Zhou, N. Persaud, H. Wang |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 10, no. 1 ; Nr. 10, no. 1 (2006-02-14), S.79-91 |
| Datensatznummer |
250007916
|
| Publikation (Nr.) |
 copernicus.org/hess-10-79-2006.pdf |
|
|
|
|
|
| Zusammenfassung |
| Fractal scaling behavior of long-term records of daily runoff time
series in 31 sub-watersheds covering a wide range of size were examined
using the shifted box-counting method and Hurst rescaled range (R/S)
analysis. These sub-watersheds were associated with four agricultural
watersheds of different climate and topography. The results showed that the
records of daily runoff rate exhibited scale invariance over certain time
scales. Two scaling ranges were identified from the shifted box-counting
plots with a break point at about 9~12 months. Similar fractal
dimensions were obtained for the sub-watersheds within each watershed,
indicating that the runoff of these sub-watersheds have similar distribution
of occurrence. The Hurst R/S analysis showed that the long-term memory was
not present in runoff time series. The presence of scaling is not certain for
runoff time series in agricultural watersheds. |
| |
|
| Teil von |
|
|
|
|
|
|
|