In press: Persistent drainage migration in a numerical landscape
evolution model, Geophysical
Research Letters.
Abstract: Numerical landscape evolution models driven by uniform
vertical uplift often develop a static drainage network and a precise
balance between uplift and erosion. Small-scale physical models of
uplifting drainage basins, however, continually reorganize by ridge
migration and do not reach an ideal steady state. Here I show that the
presence or absence of persistent drainage migration in a bedrock
numerical landform evolution model depends on the flow-routing
algorithm used to determine upstream contributing area. The model
version that uses steepest-descent routing achieves an ideal steady
state, while the model
version that uses bifurcation routing results in continually-evolving
drainage basins, even under conditions of uniform vertical uplift,
bedrock erodibility, precipitation, and landsliding threshold. This
result suggests that persistent drainage migration can occur by
erosional processes alone. This result has important implications for
numerical-modeling methodology, our understanding of the natural
variability of landform evolution, and the interpretation of
thermochronological data.
figures from the paper:


Pelletier, J.D. The influence of piedmont deposition on the time scale of mountain-belt denudation, Geophysical Research Letters. v. 31, 10.1029/2004GL020052, 2004.
Abstract: The linear correlation between modern sediment yields and
mean basin elevation suggests that mountain-belt topography is denuded
exponentially with a time scale of approximately 50 Myr following the
cessation of active uplift. However, some Paleozoic orogens still exist
as high-elevation terrain. Here I explore this paradox within the
broader question of what variables control the denudational time scales
of mountain belts. Using a two-dimensional model that couples the
stream-power law for bedrock channel erosion with the diffusion equation
for alluvial piedmonts, I determined the time scale of mountain-belt
denudation using numerical and analytic techniques. The piedmont plays
an important role in mountain-belt denudation because it sets the base
level for bedrock erosion, substantially reducing bedrock relief in
mountain belts with broad or steep piedmonts. The persistence of the
Appalachian and Ural Mountains may be understood within the model
framework as the result of resistant bedrock and a broad piedmont,
respectively.
figures from the paper:


Pelletier, J.D., Self-organization and
scaling relations of evolving river networks, J. Geophys. Res.,
104, 7359-7375, 1999.
Abstract: The
power spectrum S of linear transects of the earth's topography is often
observed to be a power-law function of wave number k with exponent close
to -2. In addition, river networks are fractal trees that satisfy
several power-law relationships between their morphologic components. A
model equation for the evolution of the earth's topography by erosional
processes which produces fractal topography and fractal river networks
is presented and its solutions compared in detail to real topography.
The model is the diffusion equation for sediment transport on hillslopes
and channels with the diffusivity constant on hillslopes and
proportional to the square root of discharge in channels. The dependence
of diffusivity on discharge follows from fundamental equations of
sediment transport. We study the model in two ways. In the first
analysis the diffusivity is parameterized as a function of elevation
and a Taylor expansion procedure is carried out to obtain a
differential equation for the landform elevation which includes the
spatially-variable diffusivity to first order in the elevation. The
solution to this equation is a self-affine or fractal surface with
linear transects that have power spectra S(k) proportional to k^-1.8,
independent of the age of the topography, consistent with observations
of real topography. The hypsometry produced by the model equation is
skewed such that lowlands make up a larger fraction of the total area
than highlands as observed in real topography. In the second analysis we
include river networks explicitly in a numerical simulation by
calculating the discharge at every point. We characterize the morphology
of real river basins with five independent scaling relations between
six morphometric variables. Scaling exponents are calculated for seven
river networks from a variety of tectonic environments using
high-quality digital elevation models. River networks formed in the
model match the observed scaling laws and satisfy Tokunaga
side-branching statistics.
sample figures:

