We investigate the consequences of fluid flowing on a continuous surface up
on the geometric and statistical distribution of the flow. We find that the
ability of a surface to collect water by its mere geometrical shape is pro
portional to the curvature of the contour line divided by the local slope.
Consequently, rivers tend to lie in locations of high curvature and flat sl
opes. Gaussian surfaces are introduced as a model of random topography. For
Gaussian surfaces the relation between convergence and slope is obtained a
nalytically. The convergence of flow lines correlates positively with drain
age area, so that lower slopes are associated with larger basins. As a cons
equence, we explain the observed relation between the local slope of a land
scape and the area of the drainage basin geometrically. To some extent, the
slope-area relation comes about not because of fluvial erosion of the land
scape, but because of the way rivers choose their path. Our results are sup
ported by numerically generated surfaces as well as by real landscapes.