Modelling soil erosion requires an equation for predicting the sediment tra
nsport capacity by interrill overland flow on rough surfaces. The conventio
nal practice of partitioning total shear stress into grain and form shear s
tress and predicting transport capacity using grain shear stress lacks rigo
ur and is prone to underestimation. This study therefore explores the possi
bility that inasmuch as surface roughness affects flow hydraulic variables
which, in turn, determine transport capacity, there may be one or more hydr
aulic variables which capture the effect of surface roughness on transport
capacity sufficiently well for good predictions of transport capacity to be
achieved from data on these variables alone. To investigate this possibili
ty, regression analyses were performed on data from 1506 flume experiments
in which discharge, slope, water temperature, rainfall intensity, and rough
ness size, shape and concentration were varied. The analyses reveal that 89
.8 percent of the variance in transport capacity can be accounted for by ex
cess flow power and flow depth. Including roughness size and concentration
in the regression improves that explained variance by only 3.5 per cent. Ev
idently, flow depth, when used in combination with excess flow power, large
ly captures the effect of surface roughness on transport capacity. This fin
ding promises to simplify greatly the task of developing a general sediment
transport equation for interrill overland flow on rough surfaces. (C) 1998
John Wiley & Sons, Ltd.