GIS aids in water infrastructure modelling

GIS aids in water infrastructure modelling

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Colorado, US: MWH Soft announced that Arvada (a city in Colorado), has adopted the company’s InfoWater suite software as its standard water modelling, design and management solution. The software will serve as the foundation for continued development of a comprehensive GIS-centric solution for the city’s complex drinking water distribution system.

InfoWater is a fully GIS integrated application, built atop ArcGIS using the latest Microsoft .NET and ESRI ArcObjects component technologies. The software seamlessly integrates advanced water network modelling and optimisation functionality with the latest generation of ArcGIS. It addresses all the operations of a typical water distribution system, but also allows engineers to accurately perform the most difficult hydraulic analyses — including multi-point and extended period fire flow simulations, variable speed pumps, and advanced water quality calculations. Users can then employ a rich array of ArcGIS presentation tools to powerfully showcase the results.

Kevin Tohill, Water Quality Technician for the City of Arvada, said, “We chose InfoWater because the products are very easy to learn and use, integrate seamlessly with our ArcGIS platform, and have the power to model and analyse our complex water network quickly and reliably. These tools make master planning fast, easy, accurate and cost-effective. That gives us more power to improve the operation, performance and integrity of our existing systems and plan the new facilities we need to accommodate growth.”

Arvad’s drinking water system has the capacity to produce 52 MGD (million gallons per day) from its two water treatment plants. Its two primary sources of water are the Denver Water Department’s Moffat System and Clear Creek.

Arvada also opted to extend the power of InfoWater by purchasing the suite’s add-on modules. These extras enable the City to perform valve criticality modelling, pump scheduling optimisation, automated demand allocation, on-demand contaminant and main break customer notifications, automated hydraulic design, and genetic algorithm-based model calibration.

Source: MWH Soft