MWH Soft, global provider of water resources applications software, has announced that after an intensive selection process, the Philadelphia Water Department (PWD) in Pennsylvania has adopted MWH Soft H2OMAP Water Suite software for its full-scale water distribution system GIS and hydraulic model. The choice was made following careful evaluation of a range of functional and technical requirements.
The selection underscores MWH Soft’s market-leading momentum in advanced geospatial infrastructure modeling solutions in North America.
The Philadelphia Water Department provides drinking water to approximately 1.7 million people in Philadelphia and parts of Lower Bucks County. Its three water treatment plants process a combined average of 270 million gallons of water a day, withdrawing water from the Delaware and Schuylkill Rivers for treatment. The treated water is then distributed through nearly 3,300 miles of water mains. The Department will use H2OMAP as the basis for developing a comprehensive GIS-based solution for modeling and managing its drinking water infrastructure and optimizing its capital improvement projects.
The H2OMAP software suite gives water utilities the ability to create and optimize rigorous water supply and distribution models faster and more accurately for superior decision making. Unlike competing products, this innovative new network modeling technology addresses every facet of utility infrastructure management and protection – delivering the highest rate of return in the industry. Drawing on the most advanced numerical computation and object-component geospatial technologies, it effortlessly reads GIS datasets; corrects network topology problems and data flaws; extracts pertinent modeling information; and automatically constructs, skeletonizes, loads, calibrates and generates credible network models with astounding speed. The suite also allows users to share mission-critical GIS and modeling information in real time over the Internet and corporate intranets. Once models have been established, users can easily run and simulate various conditions, pinpoint system deficiencies, and determine the most cost-effective improvements to achieve optimum performance and regulatory compliance.