SWMM56

See how Colorado Springs Utilities, Colorado, has successfully transitioned from traditional water model to a real-time water model with Innovyze´s  IWLive . See how Colorado Springs Utilities, Colorado, has successfully transitioned from traditional water model to a real-time water model with Innovyze´s  IWLive . As the new model has evolved, the utility has seen planned and unplanned benefits for water quality, leak detection, water consumption, forecasting, demand forecasting, and everyday use in the control room.   Download a PDF version of this case study

Subject: How to use the Flow Splitter in InfoSewer for Dendritic Networks InfoSewer, which is an extension in Arc Map, does need to have slit split defined where gravity mains merge together to determine the amount of flow in each of the downstream conduits (Figure 1).   The options for the flow splitter in each of the downstream links are: 1. Automatic Allocation 2. Fixed Flow Percentage 3. Variable Flow Percentage and 4. Inflow-Outflow Curve At an outfall where the invert of the outfall pipe is raised compared to the inverts of the incoming and outgoing pipes a flow split of Variable Flow Percentage or Inflow/Outflow curve may work better (Figure 2).   Figure 1. Options for Performing a Flow Split in InfoSewer Figure 2.  The Effect of the flow split can be used to model complex situations in a dendritic model with outfalls.

Advanced Force Network Support in InfoSewer for Steady State and EPS EPS and Steady State FM Options Simulation Options for the Advanced ForceMain Network Support The Advanced Force Network Support allows the simulation of multiple upstream and downstream force mains entering and leaving one chamber junction during an Extended Period Dynamic Simulation or EPS solution in Sewer. All of the force mains, pumps, wet wells and force main chamber junctions that are connected are considered as one force main network in the EPS and steady state solution. You can have more than one force main network in a large Sewer model separated by gravity pipes and loading manholes. The individual force main networks are solved iteratively with different upstream head and downstream tail manholes which connect the force main network(s) to the rest of the network. A force main network consists of the following elements: · Wet well · Pump · Junction Chamber · Head Manhole where flow from other parts of the

InfoSewer - Minimum Travel Distance Note:    The minimum travel distance in an  InfoSewer  or H2OMap Sewer model can be related to the mean link length in the Pipe DB Table.  Here is a table of the Mass balance check for one network versus the minimum travel distance in feet for the default values of network accuracy, minimum time length and maximum number of segments at a report time step of 1 hour.   As you can see making the Minimum Travel equal to the mode of the length histogram yields the best results even for the default model parameters.   Minimum Travel Distance Mass Balance Check: Label 1 10.50 (%) 5 3.25 (%) 10 6.25 (%) 20 17.34 (%) 25 7.05 (%) 30 1.38 (%) 40 1.07 (%) 50 1.07 (%) 55 1.05 (%) 58 3.87 (%) 60 3.34 (%) 75 0.55 (%) 80 3.09 (%) 90 11.60 (%) 100 17.20 (%) 200 17.34 (%) 1000 17.34 (%) Tags   A Basic InfoSewer Wet Well/ Pump and Force Main System   InfoSewer - Minimum Travel Distance

How to Make a SWMM 5 Calibration File from InfoSWMM Subject:   How to Make a SWMM 5 Calibration File from InfoSWMM     1 st  Step:  Graph a Link  in InfoSWMM using the Date /Time Format     2 nd  Step:  Click on the Report Button and copy the 1 st  two columns of data     3 rd  Step:  Save the  copied columns to a data file, replace the semi colon and add the name of the link  to the top of the data file as shown below   4 th  Step:  Connect the created calibration data file t o the SWMM 5 Calibration Data Link Flow Rate   5 th  Step:  Run the  Simulation and you should see two  graphs on the screen for the designated link   EPA SWMM 5 Calibration Files The EPA SWMM 5 calibration file is only for comparing the following 12 internal variables graphically to either SWMM 4 results, monitored data or some other model results: Subcatchment Runoff Subcatchment Washoff Node Water Depth Link Flow Rate Node Water Quality Node Lateral Inflow Node Flooding Groundwater Flow Groundwater Elevation S

How to Use the Arc Map Editor in InfoSWMM Note:   How to Use the Arc Map Editor in InfoSWMM Step 1  is to use the Edit Feature for example the Subcatchment layer to bring up the Arc Map Editor Tool. Step 2  is to use the Reshape Feature tool or Vertex tools to bring together mis matched Subcatchment Boundaries Step 3  is to use save the edits and then Update the DB from the Map to recalculate the area of the Subcatchments Subject:  InfoSWMM and Arc GIS for Create Graphs Using Network Data and Model Results An important advantage of using InfoSWMM is the ability to use all of the Arc GIS layer and programming tools.  For example, you can graph the model results in Bar,  Pie, Scatter, Bubble or other types of Graphs once the model data and model result layers are Joined together.  The image below shows a thematic mapping for Node Flooding, Conduit Force Main Type and a  Pie  and  Bar Chart  of  Node Flooding Time  and the  Q Full  in the links, respectively. The Structure of InfoSWMM in

Innovyze Introduces SCADAWatch Suite, Letting Users See and Report on All Key Metrics from One Place Designed for Water and Wastewater Utilities of Any Size, Expanded Suite Gives Users More Power to Create Complete Online Role-Based Dashboards as well as Electronic and Paper Operational and Regulatory Compliance Reports Broomfield, Colorado, USA,  August 25, 2015  —  Innovyze, a leading global innovator of business analytics software and technologies for smart wet infrastructure, today announced the release of  SCADAWatch Suite edition. The Suite combines the company’s industry-leading geocentric online business performance visualization and analytics-driven dashboard solution with complete user-level customized paper and electronic reporting capabilities. With  SCADAWatch Suite , utilities can now consolidate key performance indicators to effectively monitor critical assets, quickly spot changes and patterns, identify areas that need immediate attention, instantly create internal and

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------------------------ Build 5.1.010 (08/05/15) ------------------------- Source Engine Updates: 1. A modified version of Green-Ampt infiltration (MODIFIED GREEN AMPT) was added that no longer redistributes upper zone moisture deficit during low rainfall events. The original authors of SWMM's Green-Ampt model have endorsed this modified version. It will produce more infiltration for storm events that begin with low rainfall intensities, such as the SCS design storm distributions. 2. A new type of weir, a ROADWAY weir, has been added. It models roadway overtopping using the FHWA HDS-5 method and would typically be used in parallel with a culvert conduit. 3. Rule premises can now test whether a link has been open (or closed) for a specific period of time. See the Help file for more details. 4. Unsaturated hydraulic conductivity ("K") was added to the list of variables that can be used in a user-supplied groundwater flow equation. 5

Abbotsford BC Selects DemandAnalyst to Power Its Smart Water Network DemandAnalyst Will Compute Accurate, Customer-Specific Water Usage Patterns Directly from AMIs for Real-Time Modeling and Management of Abbotsford Water Distribution System Broomfield, Colorado, USA, August 18, 2015 Innovyze, a leading global innovator of business analytics software and technologies for smart water infrastructure, today announced that the City of Abbotsford, British Columbia, Canada, has chosen the company’s  DemandAnalyst  to complement its smart water network modeling innovation initiative. The purchase will enable the City to directly import its entire Itron (Liberty Lake, WA) meter population and automatically determine accurate, representative baseline demands and associated diurnal patterns for its comprehensive water distribution network model. In addition, Abbotsford can now continually update nodal demand values directly from its Advanced Metering Infrastructure (AMI) system to power decision