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H2OMAP WQ Calibrator is the most powerful
and comprehensive dynamic water quality model calibration
software available on the market. It is the first geospatial
optimization software in the world to harness the unequaled
power of Object-Oriented Messy Genetic Algorithms technology
with advanced Elitist and Global Search Control strategies
in a true high-performance GIS environment. The result
is the fastest, most practical, most comprehensive and
accurate GIS-based network water quality model calibration
program ever created for water engineers.
Until now, calibrating a network water quality model
was an exhaustive trial-and-error process of adjusting
the pipe wall reaction coefficients for reactive species
(e.g., chlorine, chloramine) using basic engineering
judgement until the model results coincide with field
observations. Wall reaction coefficients depend on the
pipe material, age and its condition (e.g., amount of
biofilm growth or rate of corrosion). Typical values
range from 0.25 to 1.5 ft/day but can also be negligible
(for new cement-lined or plastic pipe) or much higher
(especially in locations where corrosion is very high).
These coefficients are also temperature dependent. However,
there is relatively little information in the literature
to help determine the pipe wall reaction coefficients
and no simple laboratory procedure currently exists
for estimating these coefficients; instead, field data
must be used to back-fit assumed coefficient values
to the data (i.e., pipe wall reaction coefficients must
be determined from field data).
H2OMAP WQ Calibrator fully automates and
greatly simplifies this process, making water quality
model calibration a remarkably easy and enjoyable task.
It considers any combination of field water quality
measurements, quickly determining pipe wall reaction
coefficients to provide the best water quality calibration
with a minimal effort and best reflect actual water
quality conditions in the distribution system.
Now you can consistently build and analyze more complete,
accurate and reliable water quality network models than
ever before and in record time. Without that credibility,
the most complex and theoretically sound model that
could be developed would not be effective in helping
plan a sound system. A well calibrated model will not
only result in more accurate water quality simulations
but will also greatly assist you in locating optimal
sampling and satellite treatment locations and in making
sound and cost-effective water quality management decisions.
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