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Determining wastewater contributions and the
spatial distribution of these flows throughout
the network model is a key element of sewer collection
system modeling. Models are loaded with existing
and future flows (existing and future developments),
depending on the type of analysis to be performed.
All collection features, sewer trunks and available
storage within the system are supporting elements
that provide flow routing of these system loads.
The variation of load during the course of a day
must also be accounted for during a kinematic
or dynamic wave analysis.
Temporal characteristics, typically represented
by their respective diurnal variations (hydrographs),
are also required. Generally, the sewer loading
factors are first estimated for all loading categories.
The temporal effects of sewage flows are then
adjusted based on individual sewer production
categories. A spatial intersection is then performed
to geographically allocate these generated flows
to the appropriate sewer manholes, thereby defining
system loading. A load factor calculator is then
used to modify load factors to match a known treatment
plant inflow, thus completing the allocation process.
H2OMAP SWMM DWF Allocator was developed to assist
stormwater and wastewater engineers to greatly
improve, simplify and fully automate the process
of generating and allocating sanitary loadings
for existing system conditions and for various
planning horizons.
H2OMAP SWMM DWF Allocator
An indispensable master planning tool,
H2OMAP SWMM DWF Allocator gives you seven highly
advanced and efficient geospatial methods for
processing geometric polygons to accurately compute
and load network models based on load type, location,
and variation:
- Geocoded meter billing data (meter consumption
database)
- Polygon Intersection - spatial intersection
of multiple polygon layers
- Polygon Extraction - spatial summation
of load category area polygon
- Closest (Nearest) Junction Method
- Closest (Nearest) Conduit Method
- Meter - Junction Allocation
- Meter - Conduit Allocation
The first method makes use of GIS layers to automatically
geocode sewer loadings. The wastewater load at
each junction is determined by identifying and
summing all the flow data within its associated
sanitary service area polygon. In the second method,
sewer loadings are automatically calculated based
upon a direct spatial intersection between wastewater
load categorization polygons (e.g., land use and
population polygons) and the sanitary service
area polygons (also know as sewersheds or service
basins). In the third method, junction loadings
are generated by summing the individually assigned
load category polygons. Both fourth and fifth
methods work in conjunction with geocoded billing/meter
data. The fourth method locates the junction closest
to each billing meter by using efficient search
algorithms and then allocates manhole loadings.
In the fifth method, search algorithms are used
to locate the closest sewer conduit to each geocoded
meter location. Loads are then assigned to the
nearest manhole on either side of the conduit
or divided based on a distance-weighted approach.
The meter-junction and the meter-conduit allocation
methods allow the user the freedom to graphically
determine which meters are tributary to which
junctions and conduits in the sewer collection
system.
Within a true GIS environment, H2OMAP SWMM DWF Allocator
also allows you to create, edit, manipulate, and
manage all your GIS polygons and their associated
data with incredible ease and astounding speed.
These comprehensive capabilities will let you
effectively utilize your engineering knowledge
and experience and leverage your existing GIS
data investments to strategically define/forecast
your combined or sanitary sewer network flows
for various planning horizons in your master planning
effort.
Automated Service Area/Boundary
Polygons
A complete GIS application software, H2OMAP SWMM
DWF Allocator also allows you to automatically
create, edit, manipulate, move, and manage all
your GIS polygons and their associated data with
incredible ease and speed. A very powerful and
efficient Thiessen polygon generation capability
is provided that lets you automatically create
a distinct service area polygon (contributing
area) for any or all manholes. Thiessen polygons
provide a means to divide an area into polygons
by creating regions that bisect known points.
These polygons typically signify the bounded region
closest to each of the manholes.
Considerable flexibility (four useful and practical
methods) is also provided for defining the boundary
of the Thiessen polygons to ensure accurate representation
of the sewer loads generated throughout the collection
system.
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Application Dependent
- H2OMAP SWMM Suite.
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