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| Titel |
Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China |
| VerfasserIn |
G. Y. Gao, B. J. Fu, Y. H. Lü, Y. Liu, S. Wang, J. Zhou |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 7 ; Nr. 16, no. 7 (2012-07-28), S.2347-2364 |
| Datensatznummer |
250013383
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| Publikation (Nr.) |
 copernicus.org/hess-16-2347-2012.pdf |
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| Zusammenfassung |
| Predicting event runoff and soil loss under different land covers is
essential to quantitatively evaluate the hydrological responses of
vegetation restoration in the Loess Plateau of China. The Soil Conservation
Service curve number (SCS-CN) and Revised Universal Soil Loss Equation
(RUSLE) models are widely used in this region to this end. This study
incorporated antecedent moisture condition (AMC) in runoff production and
initial abstraction of the SCS-CN model, and considered the direct effect of
runoff on event soil loss by adopting a rainfall-runoff erosivity factor in
the RUSLE model. The modified SCS-CN and RUSLE models were coupled to link
rainfall-runoff-erosion modeling. The effects of AMC, slope gradient and
initial abstraction ratio on curve number of SCS-CN, as well as those of
vegetation cover on cover-management factor of RUSLE, were also considered.
Three runoff plot groups covered by sparse young trees, native shrubs and
dense tussock, respectively, were established in the Yangjuangou catchment
of Loess Plateau. Rainfall, runoff and soil loss were monitored during the
rainy season in 2008–2011 to test the applicability of the proposed
approach. The original SCS-CN model significantly underestimated the event
runoff, especially for the rainfall events that have large 5-day antecedent
precipitation, whereas the modified SCS-CN model was accurate in predicting
event runoff with Nash-Sutcliffe model efficiency (EF) over 0.85. The
original RUSLE model overestimated low values of measured soil loss and
underpredicted the high values with EF values only about 0.30. In contrast,
the prediction accuracy of the modified RUSLE model improved with EF values
being over 0.70. Our results indicated that the AMC should be explicitly
incorporated in runoff production, and direct consideration of runoff should
be included when predicting event soil loss. Coupling the modified SCS-CN
and RUSLE models appeared to be appropriate for evaluating hydrological
effects of restoring vegetation in the Loess Plateau. The main advantages,
limitations and future study scopes of the proposed models were also
discussed. |
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