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Because of their extended service areas and numerous
entry points, water distribution systems are inherently
susceptible to accidental or intentional introduction
of contaminants. Of paramount concern is the danger
associated with chemical, biological and radiological
contamination. While physical security can be
implemented to limit access to aboveground facilities
such as plants, reservoirs and pump stations,
the distribution system itself remains largely
unprotected against potential contamination. The
ability to monitor the distribution system in
real-time is critical to ensure the provision
of an early warning detection system (contamination
warning system) and timely notification and alarm,
thus, improving a utility's response capability
and reducing economic damages and public health
impacts. Sensors installed at key locations in
the water distribution system provide vital warning
against contaminant intrusion events.
InfoWater SLM solves the optimal monitoring
problem considering any combination of the distribution
system characteristics and modeling scenarios.
These can be user-defined to meet the specific
monitoring requirements of a water utility, and
are represented as functional layers in the optimization
model as shown in the figure below.
InfoWater SLM provides a fully automated
geospatial approach to develop a reliable and
comprehensive sensor installation strategy. It
helps you identify optimal areas (that are geographically
distributed and not clustered) for the location
of monitoring stations in your drinking water
distribution system, and give your customers added
security and peace of mind.
InfoWater SLM features
include:
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Determine optimal sensor locations for water
quality monitoring |
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Ensure geographically distributed optimal
sensor locations |
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Improve hydraulic calibration |
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Enhance water quality calibration |
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Rank sensors based upon a total score derived
from user-specified criteria and weights |
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Automatically provide hierarchical selection
process based on the water distribution system
characteristics, hydraulic and water quality
results, and proximity to critical facilities
(e.g., schools and hospitals) and population
density |
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Consider single and multiple modeling scenarios |
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Select and compare any number of scenarios
for optimal monitoring site identification |
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Choose any hour of interest during an EPS
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Select average, maximum and minimum parameter
results during an EPS |
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Offer natural beaks, equal interval and
quantile parameter classification methods |
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Report key statistics in graphical and tabular
forms |
| • |
Create detailed histograms for any hydraulic
and water quality parameters |
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Export all or selected critical sensor locations
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Graphically display calculated scores for
pipes and nodes directly on the map |
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Color code pipes and nodes based on their
score |
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Detail the spatial distribution of recommended
monitoring sites on the base map |
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Complete EPANET compatibility |
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