Abstract

The USLE is used world-wide to predict soil loss on the field scale from sheet and rill erosion. The slope length (L) factor is derived as its topographical factor. The accuracy of L factor determines the precision of soil loss estimation with USLE. Uncertainties on L factor are caused by DEM resolution and the choice of the processing algorithm. In the present study we made two comparisons to evaluate the effects of DEM horizontal resolution and processing algorithm on the accuracy of the L factor in gently sloped landscapes: one is between the grid cumulating method (GC) and the contributing area method (CA) using D8 flow-routing algorithm, the other is among single (D8, Rho8) and multiple (FD8, FRho8 and DEMON) flow-routing algorithms for processing the contributing area method. In two comparisons, 5 m, 10 m, 25 m, 50 m and 100 m DEM of a 0.88 km 2 catchment in the lowland of Northern Germany were applied. The results indicate that L factor calculated with any of the six methods is sensitive to horizontal resolution, which strongly affects the accuracy. With decreasing resolution, correlations of L CA_Rho8 and L CA_D8 , L CA_FD8 and L CA_D8 , L CA_FD8 and L CA_Rho8 increase while those between DEMON and the other flow-routing algorithms do not change significantly. With decreasing resolution, the difference between L GC_D8 and L CA_D8 is enlarged, while differences between any two flow algorithms using CA did not change significantly. The L factor variation between any two methods is larger on the upslope than the flat valley for the 5 m and 10 m DEM while terrain characteristics are not visible on the 25 m, 50 m and 100 m DEM. The L factor also depends on the computation method. L GC_D8 is approximately half of L CA . It is concluded that DEM horizontal resolution is very important for L factor calculation. The most suitable calculation method is L GC_D8 for gently rolling landscapes. This study can be used for selecting a suitable method and DEM resolution for accurate calculation of L factor and soil loss in gently rolling landscapes. ► L factor calculated with any algorithm is sensitive to DEM horizontal resolution. ► Algorithm choice within CA impacts L factor less than DEM cell size or using GC. ► GC is superior to CA methods, especially for lower DEM resolutions. ► The most suitable calculation method for gently rolling landscapes is LGC_D8.

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