Denver Suburb to Use Geospatial Technology

The selection underscores the value of the company's geocentric hydraulic infrastructure modelling and design solutions, tools that have made MWH Soft a worldwide market leader. Among the reasons cited for the City of Arvada's decision were the software's many powerful tools, comprehensive functionality, speed, ease of use, flexibility, and seamless ArcGIS (ESRI, Redlands, CA) integration.

Located seven miles from the state capitol, between Denver and the eastern edge of the Rocky Mountains, Arvada covers 23,000 acres and serves a population in excess of 100,000. The City's drinking water system has the capacity to produce 52 MGD from its two water treatment plants. Its two primary sources of water are the Denver Water Department's Moffat System and Clear Creek. The Moffat water system, a year-round source, is diverted from Denver's Ralston Reservoir. This mountain snow melt water is collected from the Fraser River and South Boulder Creek Basins and transported to Gross Reservoir and then to Ralston Reservoir. Approximately 25% of the City's water supply is diverted from Clear Creek, where it is stored in a local reservoir until needed during months when water demand is high.

"MWH Soft has provided us with powerful software and top-notch service," said Kevin Tohill, Water Quality Technician for the City of Arvada. "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 analyze 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."

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 optimization, automated demand allocation, on-demand contaminant and main break customer notifications, automated hydraulic design, and genetic algorithm-based model calibration.