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Watershed dynamics: Many watershed
simulations today work in the batch world; an event is simulated based
on a static set of field data. If newer data become available, the
simulation is simply rerun. For example, hydrodynamic and sediment
transport simulations to predict geomorphologic changes within a stream
and the impact of these changes to the aquatic life are conducted by
considering a constant sediment input value from terrestrial sources
such as roads, floodplains, and other natural occurring disturbances
(i.e., landslides, fires). As a result perturbations that exist in the
system due to the spatial and temporal variability in the terrestrial
sediment input are not accounted. Very few applications use real time
data even if the capability to do so is available. A great effort has
been recently devoted to run simulations faster than real time based on
static data sets. However, this is highly inefficient and leads to
multiple sediment predictions that are conflicting when major events are
predicted. This lack of ability to dynamically inject data into
simulations and other applications, as these applications execute,
limits the analysis and the predictive capabilities of these
applications. The novel capabilities to be sought here are application
simulations that can dynamically accept and respond to on-line field
data and measurements and/or control such measurements. This
synergistic and symbiotic feedback control-loop between simulations and
measurements is a novel technical direction that can open domains in the
capabilities of simulations within watersheds that can facilitate the
“capturing” of episodic catastrophic events. |
| Infiltration and water quality:
Infiltration, the entry of water into the soil through rainfall,
snowmelt or irrigation, determines the amount of runoff as well as the
supply of water in the soil. Infiltration is important in predicting
surface runoff, water quality properties and hillside erosion. Among
the variables affecting runoff and soil retention of water are slope of
hillside, soil type, land management, and rainfall intensity. A study
is currently carried out in the Clear Creek watershed to expand our
knowledge on soil infiltration by performing for the first time detailed
field experiments under different soil aggregate attributes, landforms
and management conditions. Sensor technology will be used to obtain
measurements of infiltration and conductivity in a non-intrusive
manner. The study will lead to development of a versatile and robust
method useful in TMDLs (total maximum daily loads) for measuring surface
runoff and transport of contaminants. Because the study includes
extensive water quality sampling, it should reveal the amount of time
required for the benefits of best management practices (BMP) programs to
show up downstream. This would be a great benefit to watershed planners
who will apply BMP programs. Over the long term, the study will be
useful to farmers in the region interested in minimizing nutrient loss
to surface waters as part of ongoing BMPs, and to the Iowa Department of
Natural Resources in strategic planning to clean-up Iowa's surface
waters. The objectives of study are to prevent bank erosion, improve
soil and water quality and help the NRCS. |
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