The prediction of runoff flow directions on tilled fields

Citation
I. Takken et al., The prediction of runoff flow directions on tilled fields, J HYDROL, 248(1-4), 2001, pp. 1-13
Citations number
15
Categorie Soggetti
Environment/Ecology,"Civil Engineering
Journal title
JOURNAL OF HYDROLOGY
ISSN journal
00221694 → ACNP
Volume
248
Issue
1-4
Year of publication
2001
Pages
1 - 13
Database
ISI
SICI code
0022-1694(20010715)248:1-4<1:TPORFD>2.0.ZU;2-5
Abstract
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 Science B.V. All rights reserved.