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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. |