MWH Soft Newsroom
Welcome to MWH Soft’s Newsroom, your source for MWH Soft news and information. Here you'll find the latest announcements and highlights about MWH Soft, our products and services, as well as customer casestudies and technical articles.
MWH Soft Releases InfoSewer Version 6.0 for ArcGIS 10
New Version of the Leading Wastewater Modeling and Management Package Leverages Newest Esri Software, Aug 31, 2010
MWH Soft, a leading global innovator of wet infrastructure modeling and simulation software and technologies, today announced the immediate availability of InfoSewer Generation V6 for ArcGIS 10 (Esri, Redlands, CA). The release is the first sewer network analysis, design and management software for ArcGIS 10, continuing MWH Soft’s longstanding tradition of continual product innovation and helping utilities leverage their geospatial platform.
Using InfoNet to build InfoWorks CS hydraulic models
, Sep 1, 2010

Water utilities are now using MWH Soft’s InfoNet database and network management solution to monitor data, which has in turn enabled digital models of these networks to be created in a more efficient way. The advantages of using InfoNet to build digital models, compared to the traditional option of importing data directly into InfoWorks CS, are being demonstrated in a project undertaken for the town of Drogheda in Ireland.
Impact of Network Simplification and Digital Terrain Models on Flood Risk Assessments
Stephen Kenney - MWH

Stephen Kenney (MWH) provides an overview of a study looking at the impact of network simplification and digital terrain models on flood risk assessments. As the water industry moves towards a risk based approach to flood modeling the question emerges as to whether existing models are suitable for this purpose. During the study a series of de-simplified models were created to look at flow, but also the surcharge levels that are key to flood risk. Stephen explains how the models were created and shows how in the case of this study the methodology led to a 44% increase in model confidence.