Arizona Tourist Destination Selects InfoSWMM for Advanced Wastewater Network Modeling and Management

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Arizona Tourist Destination Selects InfoSWMM for Advanced Wastewater Network Modeling and Management
Decision Arms Bullhead City with Comprehensive GIS-Centric Solution for Managing its Sewer Infrastructure System
Broomfield, Colorado USA, January 22, 2013 — Innovyze, a leading global innovator of wet infrastructure modeling and simulation software and technologies, today announced that Bullhead City, Arizona, has selected the powerful smart drainage modeling solution InfoSWMM to implement system improvements based on the City’s Wastewater Master Plan. The purchase equips Bullhead City Public Works with comprehensive geospatial modeling technology that will allow it to better evaluate and optimize collection system operations and capacity.

Bullhead City, a community of 40,000 located 90 miles of south of Las Vegas in west-central Arizona, is a fast-growing regional tourism destination. It currently operates two major wastewater treatment plants, 15 sewer lift stations, and 190 miles of collection system. The Wastewater Master Plan was established to better address wastewater collection for the growing city. The City also intends to address effluent reuse system issues; plan for future collection, treatment and disposal; and identify, investigate and develop options for maximizing resources.

“Using this sophisticated technology to analyze and optimize our system will be a key factor in achieving our ultimate objectives,” said Bob Leuck, Assistant Public Works Director of Bullhead City. “InfoSWMM’s dependability, functionality and outstanding usability will empower us to better operate and sustain a safe and reliable wastewater system for our customers.”

InfoSWMM is a fully dynamic geospatial wastewater and stormwater modeling and management application that can be used to model the entire land phase of the hydrologic cycle as related to urban stormwater and wastewater collection systems. The model can perform single event or long-term (continuous) rainfall runoff simulations that account for climate, soil, land use, and topographic conditions of the watershed.

In addition to simulating runoff quantity, InfoSWMM can also predict runoff quality, including buildup and wash-off of pollutants from primarily urban watersheds. Once runoff quantity and quality are simulated and wastewater loads at receiving junctions are determined, the routing portion of InfoSWMM uses either steady routing, kinematic wave routing or dynamic wave routing to virtually transport this flow through a conveyance system of pipes, channels, storage/treatment devices, pumps, and hydraulic regulators such as weirs and orifices. The model also features a highly advanced Real-Time Control (RTC) scheme for the operational management of hydraulic structures.

“Bullhead City’s capital plan called for a cost-effective yet powerful tool to address its wastewater infrastructure needs,” said J. Erick Heath, P.E., Innovyze Vice President and Director of Americas Operations. “We are proud that progressive cities like this one continue to recognize our software as the best way to address their water and wastewater infrastructure concerns. We look forward to working with the City as it turns its capital plans into realities.”

Stopping Tolerance in InfoSWMM, H2OMAP SWMM and SWMM5 Internal Units

Stopping Tolerance in InfoSWMM, H2OMAP SWMM and SWMM5 Internal Units

InfoSWMM, H2OMAP SWMM and SWMM 5 share the same underlying dynamic engine code but one small difference is that InfoSWMM and H2OMAP SWMM allows the user to select the node stopping tolerance instead of always using the default SWMM 5 stopping tolerance of 0.0005  feet.  SWMM 5 uses internal units of feet and shows the output in meters if you are using SI units, as does InfoSWMM and H2OMAP SWMM.  The following table shows how the stopping tolerance translates to inches and millimeters in the engine of a US and SI model.   The smaller the tolerance the larger the number of iterations used during the simulation but using a very small tolerance does not always mean a better simulation.  If possible, for example, with pumps it is better to use a small time step and a medium level tolerance – for example 1 millimeter is a good starting  value, but maybe 2 or 3 millimeters may help if you have a continuity error at a pump node.  
The nodes are considered converged if the depths between successive iterations is less than the stop tolerance of the program (the default stop tolerance is less than the stopping tolerance (Figure 1)

Stopping Tolerance

Figure 1  If the node depths between successive iterations are less than the stopping tolerance then the node is considered to be converged.

Importing a Link Shapefile into InfoSWMM via GIS Gateway

Importing a Link Shapefile into InfoSWMM via GIS Gateway

Here is how you map the shapefile pipe fields to the InfoSWMM data fields.  One note, you had two diameter fields (feet and inches) and the feet column was mostly zero so I used the inch column.  Here are the four steps and mapping you need to import all of the data from your shapefile.  You will have to use blockedit and convert the diameter from inches to feet in the DB link table (Step 5 – note there are still three missing pipe diameters).

 Step 1.  Use the GIS Gateway command and set up the import of the file name, and ID field

 Step 2. Set up the mapping between the Shapefile fields and InfoSWMM.  We used link offset and the pipe diameter in inches.

Step 3. Load the mapped shapefile

Step 4.  The imported data from your shapefile into the DB table of InfoSWMM

Step 5  Convert to feet from inches

Hawaii’s Largest Utility Adopts InfoWater Smart Water Network Technology

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Hawaiis Largest Utility Adopts InfoWater Smart Water Network Technology
Oahus Board Water Supply Looks to Achieve Optimum Performance with Innovyze Industry-Leading Software
Broomfield, Colorado USA, January 15, 2013 — Innovyze, a leading global innovator of wet infrastructure modeling and simulation software and technologies, today announced that the Honolulu Board of Water Supply (BWS) has selected InfoWater to optimize O‘ahu’s municipal water resources and distribution system.
The BWS is the largest municipal water utility in the state of Hawai‘i and provides safe and dependable water service to over a million residents of O‘ahu. The utility manages an intricate system of 94 active potable water sources, 170 reservoirs, and nearly 2,100 miles of pipeline to deliver approximately 150 million gallons of water a day to nearly every community on the island.

“We needed a cost-effective solution that could address all areas of our utility’s operations and infrastructure,” said Ellen Hirayama, P.E., BWS Deputy Manager and Chief Engineer. “InfoWater not only enables us to better manage our vast hydraulic network, but also helps us ensure that we maintain the highest level of water quality and service to our many customers.”

The innovative InfoWater network modeling technology addresses every aspect of water distribution system management, optimization and protection — delivering the highest rate of return in the industry. Built atop ArcGIS (Esri, Redlands, CA) and drawing on the most advanced numerical computation and object-component geospatial technologies, it effortlessly reads GIS datasets and other vital utility systems; corrects network topology problems and data flaws; extracts pertinent modeling information; and automatically constructs, skeletonizes, loads, calibrates and generates optimized solutions with astounding speed. The result is performance modeling that sets new levels of scalability, reliability, functionality and flexibility within the powerful ArcGIS environment.

InfoWater makes this information available to support real-time operations decisions and business processes throughout the enterprise, allowing various departments to work together in deciding on the best actions and decisions. Using these advanced tools, utilities can easily simulate and evaluate various conditions, pinpoint system deficiencies, and determine the most cost-effective improvements to achieve optimum performance, ensure regulatory compliance, and meet new security challenges.

“Innovyze world-class software empowers water utilities to efficiently and cost-effectively manage and maintain their unique water systems,” said J. Erick Heath, P.E., Innovyze Vice President and Americas Business Director. “We are so pleased that InfoWater is the software solution for the BWS and are committed to assisting them in meeting the needs of the people of O‘ahu.”

Climate-proofing cities

Here's just one example, from Singapore:

Singapore's Marina's Marina Barrage.

The Marina Barrage and Reservoir, which opened in 2008, is at the heart of Singapore's two-billion-dollar campaign to improve drainage infrastructure, reduce the size of flood-prone areas, and enhance the quality of city life. It has nine operable crest gates, a series of enormous pumps, and a ten-thousand-hectare catchment area that is roughly one-seventh the size of the country. The system not only protects low-lying urban neighborhoods from flooding during heavy rains; it also eliminates the tidal influence of the surrounding seawater, creating a rainfed supply of freshwater that currently meets ten percent of Singapore's demand. More over, by stabilizing water levels in the Marina basin the barriers have produced better conditions for water sports. The Marina's public areas, which include a sculpture garden, a water-play space, a green roof with dramatic skyline vistas, and the Sustainable Singapore Gallery, bolster the city's tourist economy as well.

That's a brilliant way to address two climate impacts -- large precipitation events and rising sea levels -- at once. Singapore has also elevated all access points to its underground subway a least a meter above high-water flood levels. It's also building desalination plants and systems to reuse waste water. It's also burying its power lines.

Engineers at the Dutch firm Arcadis recently proposed a large new sea barrier for north of New York City's Verrazano-Narrows Bridge. The price tag: $6.5 billion. And that's just one small piece of the puzzle. All this stuff is prudent, but it's expensive.