Research Article
A transport-distance approach to scaling erosion rates: 2. sensitivity and evaluation of Mahleran
Article first published online: 15 JAN 2008
DOI: 10.1002/esp.1623
Copyright © 2008 John Wiley & Sons, Ltd.
Additional Information
How to Cite
Wainwright, J., Parsons, A. J., Müller, E. N., Brazier, R. E., Powell, D. M. and Fenti, B. (2008), A transport-distance approach to scaling erosion rates: 2. sensitivity and evaluation of Mahleran. Earth Surf. Process. Landforms, 33: 962–984. doi: 10.1002/esp.1623
Publication History
- Issue published online: 29 APR 2008
- Article first published online: 15 JAN 2008
- Manuscript Accepted: 27 SEP 2007
- Manuscript Revised: 7 SEP 2007
- Manuscript Received: 21 MAY 2007
Funded by
- NERC. Grant Number: GR3/12754
- NSF. Grant Number: DEB 00-80412
- Abstract
- References
- Cited By
Keywords:
- erosion;
- sediment transport;
- soil-erosion model;
- scaling;
- validation
Abstract
In the first paper in this series, we demonstrated that most process-based erosion models have a series of in-built assumptions that led us to question their true process basis. An alternative soil-erosion model (Mahleran – Model for Assessing Hillslope-Landscape Erosion, Runoff And Nutrients) based upon particle-travel distance has been presented in the first paper in this series and this paper presents the first of two evaluations of the model. Here, a sensitivity analysis shows that the numerical model is consistent with the analytical model of Parsons et al. (2004) and demonstrates that downslope patterns of sediment flux on hillslopes are a complex interaction of rainfall intensity, duration and pattern; hillslope gradient; surface roughness and sediment size. This result indicates that the spatial scaling of sediment transfers on hillslopes is a non-trivial problem and will vary from point to point and from event to event and thus from year to year. The model is evaluated against field data from a rainfall-simulation experiment on an 18 m × 35 m plot for which there are sub-plot-scale data on runoff hydraulics and sediment flux. The results show that the model is capable of reproducing the sedigraph with an overall normalized root-mean-square error of 18·4% and Nash–Sutcliffe efficiency of 0·90. Spatial and temporal patterns of particle-size distributions of the eroded sediment are also reproduced very well, once erosion parameters have been optimized for the specific soil conditions. Copyright © 2008 John Wiley & Sons, Ltd.

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