Warning: include_once(/html/left_nav_cell3.html) [function.include-once]: failed to open stream: No such file or directory in /home/28/45/2914528/web/html/hypact_desc.php on line 21
Warning: include_once() [function.include]: Failed opening '/html/left_nav_cell3.html' for inclusion (include_path='.:/usr/share/php:/usr/share/pear') in /home/28/45/2914528/web/html/hypact_desc.php on line 21
|
HYPACT Hybrid Particle And Concentration Transport
Model
HYPACT represents a state-of-the-art
methodology for predicting the dispersion of air pollutants in 3-D,
mesoscale, time dependent wind and turbulence fields. HYPACT
allows assessment of the impact of one or multiple sources emitted into
highly complex local weather regimes, including mountain/valley and
complex terrain flows, land/sea breezes, urban areas, and other situations
in which the traditional Gaussian-plume based models are know to fail.
HYPACT, developed by the the personnel at Mission Research Corporation and
current ATMET personnel, represents the next generation of dispersion
modeling systems. It combines the best features of grid-based Eulerian
dispersion methodologies with Lagrangian particle dispersion modeling.
The HYPACT Lagrangian dispersion scheme is
very flexible. Species can include gases, and a spectrum of aerosol sizes.
The 2-D or 3-D wind and turbulence fields are provided by MRC/*ASTER's
RAMS (Regional Atmospheric Modeling System)
for forecast applications, or an observational network for
diagnostic applications. A Lagrangian model is ideal for regimes in which
the assumptions underlying Gaussian plume-based models are violated, such
as highly sheared flows, recirculating coastal and mountain/valley wind
systems, urban heat islands, plume fumigation and bifurcation.
Although the RAMS code can directly compute
the dispersion of any number of "tracers" in an Eulerian framework,
HYPACT has certain advantages because it combines in one
code the best features of both the Lagrangian and Eulerian dispersion
estimating methodologies. The advantage is greatest near a source region
for tracers when the source is small and unresolvable on the Eulerian
grid. A comparable Eulerian treatment would necessarily represent the
source by a volume no smaller than one grid cell, and would immediately
begin diffusing the tracer in adjacent cells. A Lagrangian approach, on
the other hand, is fully capable of representing a source of any size, and
of maintaining a concentrated, narrow plume downwind of the source until
atmospheric dispersion dictates that it should broaden. In contrast, at
large distances from the source, where the tracer plume is typically broad
and well mixed, representation of the plume by Lagrangian particles can
become inefficient due to the large number of particles required to
achieve a smooth characterization of the plume. The hybrid Lagrangian and
Eulerian approach used in HYPACT represents a tracer by
Lagrangian particles near the source, but converts particles to Eulerian
concentrations where appropriate at large distances downwind.
Sources in HYPACT can be single or
multiple, instantaneous (explosive), continuous, or time varying for any
of the specified species. Source geometry can include point, line area and
volume sources of various orientations. The model domain can extend from
an area as small as an industrial plant site to hundreds of kilometers (up
to the size of the RAMS domain). The number of particles
released is limited only by available memory and can exceed hundreds of
thousands. Sources, species and emission scenarios can either be managed
through the namelist, or through database files.
HYPACT is a modular FORTRAN 90 compliant
code with new features being regularly added. Currently planned future
modules include dry deposition, rain out, re-evaporation, plume rise,
evaporative sources and chemical transformations. Further planned "house
keeping" enhancements include the removal of inactive particles and memory
reallocations, gridded source input (and background concentrations),
various file input/output formats and history restarts. Other enhancements
may include code parrallelization, an execution control GUI, and
enhancement of visualization tools (REVU and
RINGI). Collaborative development on any of these
enhancements is welcome.
|