On tilled fields runoff directions may be affected by tillage induced orien
ted roughness, causing runoff to Row along tillage lines instead of topogra
phic direction. That this has an important effect on runoff and erosion pat
terns was already reported [Ludwig et al., Catena 25 (1995); Desmet and Gov
ers, Catena 29 (1997); Souchere et al., J. Hydrol. 206 (1998); Takken et al
., Catena 37 (1999)]. However, limited research has been carried out to dev
elop models that can be used to predict whether flow will be in tillage or
topographic direction. In this study a wide range of data was collected on
runoff patterns observed in an agricultural catchment in the Belgian loess
belt. The data show that for more than 75% of the mapped areas on hillslope
s the dow was in direction of tillage. The data were analysed to develop tw
o logistic regression models to predict runoff direction. The first model u
ses topographic slope, the angle between the tillage orientation and aspect
direction and the degree of oriented roughness as input. In the second mod
el, the effect of discharge on the Row direction is also considered using u
nit contributing area as a substitute variable. However, the application of
the second model is complicated and error-prone. Furthermore, application
of both models to a validation dataset showed only a minor increase in mode
l performance when upslope area is included (95 vs. 93% of correct predicti
ons). Therefore, it may be better to predict Row directions without taking
discharge into account. The model without unit contributing area predicted
very well the spatial variation of Row directions within a field surveyed b
y [Desmet and covers, Catena 29 (1997)]. Including this logistic model in r
unoff and erosion models will result in much better predictions of runoff a
nd erosion patterns than can be obtained by using the traditional approach
of calculating a runoff pattern based on topography only. (C) 2001 Elsevier
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