A new class of probabilistic models of the width function, based on so-call
ed iterated random pulse (IRP) processes, is proposed. IRP processes reprod
uce the main characteristics of empirical width functions (nonnegativity, n
onstationarity, and power law decay of the spectrum) and require few and ea
sily accessible parameters. IRP models are based on a simple conceptualizat
ion of the geometrical structure of river basins and exploit in a natural w
ay the self-similarity of natural channel networks. A result that is derive
d from the IRP representation is that the exponent alpha of Hack's law, L s
imilar to A(alpha), and the exponent beta of the power spectral density of
the width function, S(omega) similar to \omega\(-beta), are related as alph
a = 1/beta. Empirical values of beta are typically in the range 1.8-2.0 and
are consistent with this theoretical result and the usual range of alpha.