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Project Summary
Personnel:
Matthew Rossi
Stephen DeLong (Ph.D.) Joel Johnson (Ph.D.)
Determination of process-based mathematical
approximations of surface processes is a central goal in geomorphology.
Researchers have long recognized the value of quantitative field
measurement and monitoring of both surface change and the processes
that drive them. New technology has now become available that has the
potential to revolutionize field geomorphology – converting well-chosen
field sites into laboratories where even rare, short-duration events
like overland flow in rangeland landscapes can be studied and
quantified in detail. We propose to couple environmental sensor
networks with repeat terrestrial LiDAR surveys to test hypotheses about
active surface processes and their accompanying landscape change. It is
now reasonable to combine off the shelf and custom equipment into
detailed environmental sensor networks capable of precise measurement
of a wide range of surface and near-surface characteristics and
processes in real time and to monitor resulting landscape changes in
detail over a large, morphologically complex area. These new
technologies are both most needed and best employed in rapidly changing
dryland environments such as alluvial channels, badland drainage
basins, rangeland gullies and some disequilibrium bedrock channel
settings, where landscape change is highly episodic but event-scale
landscape change occurs reliably up to several times per year, and can
provide insight into dynamics of active surface process if carefully
studied.
Gully networks and badland basins are ideal
sites for monitoring active erosional processes because of their
manageable size and their bearing on questions regarding the relative
roles of subsurface and surface processes that initiate and perpetuate
change in active landscapes. For instance, development of gully
networks and gully head migration have been interpreted to be driven by
various processes including interflow and groundwater sapping, excess
overland flow, and plunge-pool erosion. We will deploy sensor networks
that can test these hypotheses in real time during significant
precipitation events. We will also test hypotheses related to
development of discontinuous ephemeral stream systems, in which gully
heads are just one important component. Small badland drainage basins
offer the opportunity to quantify surface processes in small, coupled
hillslope-channel systems and, with limitations, provide analogy to
larger geomorphic systems. In both settings, we will deploy sensor
networks that can measure precipitation, overland flow, soil moisture,
channel discharge, local erosion and sedimentation in real time and at
high temporal and spatial resolution.
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