Innovyze Releases InfoSWMM Generation V14, Spearheading New Era in GIS-Centric Smart Wastewater and Stormwater Modeling

Featuring Many Key Innovative Improvements, New Release Gives Communities Groundbreaking Network Simulation Power and Full Compatibility with the Latest USEPA SWMM 5

Broomfield, Colorado, USA, August 11, 2015

In its ongoing quest to equip the wastewater industry with the world’s most comprehensive and innovative smart network modeling and management solutions, Innovyze, a leading global innovator of business analytics software and technologies for smart wet infrastructure, today announced the worldwide availability of the V14 Generation of its industry-leading InfoSWMM for ArcGIS (Esri, Redlands, CA).InfoSWMM V14 provides unique new capabilities and enhancements that comprise the most advanced approach to guiding and optimizing collection systems planning, design, operation and management.

A complete ArcGIS-centric urban drainage modeling solution, the full-featured InfoSWMM analysis and design program delivers the highest rate of return in the industry. All operations of a typical sewer system — from analysis and design to management functions such as water quality assessment, pollution prediction, sediment transport and deposition, urban flooding, real-time control, and record keeping — are addressed in a single, fully integrated geoengineering environment. The program’s powerful hydraulic and water quality computational engine is based on an enhanced version of the latest USEPA SWMM 5, which is certified by FEMA. These features and more deliver an enhanced modeling experience and greater realism of displayed results — advantages that translate to increased productivity, reduced costs, higher accuracy, better efficiency, and improved designs.

InfoSWMM also serves as a robust base platform for advanced modeling, operational, short-term and long range planning, capital planning, urban stormwater treatment and analysis, and analytics-driven asset management extensions. Some of these critical applications includeInfoSWMM 2D (two-dimensional surface flood modeling), SWMMLive (real-time urban drainage modeling), CapPlan (risk-based capital planning and asset performance modeling), InfoSWMM Sustain (optimal selection and placement of LIDs/BMPs), InfoSWMM SFEM(dynamic sewer flow estimation model), InfoMaster (GIS-centric analytics-driven asset management), and RDII Analyst (rainfall-dependent inflow and infiltration planning and analysis).

The release of InfoSWMM V14 extends previous generations’ capabilities with a number of new features, improvements, and groundbreaking innovations in geoengineering productivity and efficiency as well as an improved user experience. These advances greatly simplify, accelerate, and integrate urban drainage network engineering, helping wastewater and stormwater engineers develop better designs and operational improvements faster. Among the new enhancements are:

• A new Modified Rational Method that reads IDF tables and allows user-defined time of concentration for each subcatchment.
• New monthly adjustments for hydraulic conductivity used for rainfall infiltration and exfiltration from storage nodes and conduits.
• A new feature that allows LID drains to send their outflows to a different node or subcatchment than the parent subcatchment in which they were placed.
• A new option for conveyance system outfall nodes to send their outflows onto a subcatchment, to simulate irrigation or complex LID treatment options.
• A new LID practice, Rooftop Disconnection, that allows users to explicitly model roof runoff with an optional limit on the flow capacity of downspouts.  
• A new optional soil layer to Permeable Pavement or Porous Pavement LID’s, enabling modeling of a sand filter or bedding layer beneath the pavement.
• Several new built-in variable names for use in custom groundwater flow equations for porosity, unsaturated hydraulic conductivity, infiltration rate and percolation rate.
• A new Groundwater Summary table to report multiple groundwater statistics for each subcatchment with groundwater definitions.
• Minimum Variable Time Step which limits the smallest time step that can be computed under variable time stepping for dynamic wave flow routing. In previous releases this figure was fixed at 0.5 seconds, which remains the default. The smallest value now available is 0.001 sec.
• An improved Node Depth Summary report table that shows the maximum depth recorded at the Reporting Time Step so it can be compared to the maximum depth attained over all routing time steps, also shown in the table.
• A new variable “Node Volume” added to the Rule Control premises.
• A new extension on Rule Control premises that allows comparison of a node or link variable at two different locations (e.g. IF NODE 123 HEAD > NODE 456 HEAD).

“Our priorities have always been to advance the frontiers of smart network modeling technology and support our customers’ successes by helping them be more productive, innovative and competitive — imperative in today’s economy,” said Paul F. Boulos, Ph.D., BCEEM, Hon.D.WRE, Dist.D.NE, Dist.M.ASCE, NAE, President, COO and Chief Technical Officer of Innovyze. “This major InfoSWMM release delivers on our promise to equip our customers with the ultimate ArcGIS-centric decision support tool for sewer collection and urban drainage systems. Like its predecessors, InfoSWMM V14 sets a new standard for quality and high-performance network modeling and management with unrivaled power and speed, cutting-edge capabilities, rich functionality and ease of use. From top to bottom, it is designed for record modeling performance that enables users to increase their productivity and quality while achieving their engineering, sustainability and business goals. We will continue to work hard to provide our customers with the best GIS-centric modeling solutions to help them build, manage and operate sustainable and resilient hydraulic infrastructure systems and drive engineering success.”
Pricing and Availability
Upgrade to InfoSWMM V14 (and H2OMAP SWMM V14) is now available worldwide by subscription. Subscription members can immediately download the new version free of charge directly from www.innovyze.com. The Innovyze Subscription Program is a friendly customer support and software maintenance program that ensures the longevity and usefulness of Innovyze products. It gives subscribers instant access to new functionality as it is developed, along with automatic software updates and upgrades. For the latest information on the Innovyze Subscription Program, visit www.innovyze.com or contact your local Innovyze Channel Partner.
About InnovyzeInnovyze is a leading global provider of wet infrastructure business analytics software solutions designed to meet the technological needs of water/wastewater utilities, government agencies, and engineering organizations worldwide. Its clients include the majority of the largest UK, Australasian, East Asian and North American cities, foremost utilities on all five continents, and ENR top-rated design firms. With unparalleled expertise and offices in North America, Europe and Asia Pacific, the Innovyze connected portfolio of best-in-class product lines empowers thousands of engineers to competitively plan, manage, design, protect, operate and sustain highly efficient and reliable infrastructure systems, and provides an enduring platform for customer success. For more information, call Innovyze at +1 626-568-6868, or visit www.innovyze.com.
Innovyze Contact:Rajan RayDirector of Marketing and Client Service Manager
Rajan.Ray@innovyze.com
+1 626-568-6868

H2S Modeling in an InfoSWMM Pond

The control of odorous gases and the corrosion of sewers are the two most important problems in operating wastewater collection systems.  H2S is the most commonly known and prevalent odorous gas associated with domestic wastewater collection and treatment systems.  InfoSewer. InfoSWMM, H2OMap SWMM or H2OMAP Sewer suite gives wastewater engineers a powerful Operations and Maintenance (O&M) tool to readily model and analyze entire sewer collection systems for sulfide generation and corrosion potential under varying conditions anticipated throughout the life of their systems. H2S  predicts sulfide buildup in sewer collection systems for gravity sewers, force mains, and wet wells using the Pomeroy-Parkhurst equations. This unique and powerful tool enables wastewater utilities to pinpoint odor and corrosion problems, develop effective monitoring programs, alert plant operators and sewer maintenance workers to potential danger and the need to observe safety practices, and evaluate and implement effective control system such as aeration, chlorination, and mechanical cleaning.

Modeling of hydrogen sulfide using H2S Detector requires minimal input data from the user. The required data include:

 average daily temperature for the region (in degrees C).

 reaction rate coefficient (per day) which was described above in relation to BOD modeling.

 pH of the wastewater. The normal pH range of municipal wastewater is 6.0 to 8.0.

 effective sulfide flux coefficient  for sulfide generation by the slime layer in gravity sewers (meter/hour). For conservative analysis (i.e., observed sulfide buildup generally less than predicted), the suggested values of this parameter is 0.00032.

 a dimensionless coefficient to account for sulfide losses by oxidation and escape to atmosphere. For conservative analysis (i.e., observed sulfide buildup generally less than predicted), the suggested values of this parameter is 0.64. For moderately conservative analysis a value of 0.96 is suggested.

 logarithmic ionization constant for hydrogen sulfide (unit less), a function of temperature and specific electrical conductance of the waste water. Its value generally varies from 6.67 (at a temperature of 40oC and specific electrical conductance of 50, 000 micromhos/cm) to 7.74 (at a temperature of 10oC and specific electrical conductance of 0 micromhos/cm).

 percent of total sulfides that occur in the soluble (dissolved) form for the wastewater, most frequently known to vary from 70 to 90 percent.

The default values used by the model for these inputs are shown in the following dialog box. In addition to the listed data, the user has to supply initial concentration of total sulfides and ultimate BOD of  the wastewater. These two variables could be assigned using the quality tab available at the top of the attribute browser, for one source node at a time, or using the " Group Edit on Domain" feature that enables simultaneous assignment of the two variables for all source nodes in the domain.

InfoSWMM or H2OMap SWMM S and BOD5 Parameters

How the H2S concentration changes with an increase in Pond Area.

The Hydrology options in Innovyze InfoSWMM/H2OMap SWMM versus Innovyze ICM

The Hydrology options in Innovyze InfoSWMM/H2OMap SWMM and ICM are shown in these mirror images map of the Runoff dialog in InfoSWMM and the Runoff Surface in ICM.   

Equivalent features in InfoSWMM and ICM are:
1.  SWMM 5 Non  Linear Reservoir  and SWMM in ICM
2. Snyder Routing
3. SCS UH Routing
4. Various Versions of the Rational Method

An Implicit-Explicit (IMEX) Picard Scheme and Adaptive Time Stepping Algorithm Applied to the Hydraulic Calculations in SWMM 5

When is Warning 02 Used in the SWMM 5 Engine?

When is Warning 02 Used in the SWMM 5 Engine?

1. If the crown elevation of the highest connecting link is greater than the maximum depth of the node, then

2. The maximum depth of the node is increased to the crown elevation of highest connecting link

3. This is an  internal engine change and is reflected in the Output HGL

4. For example, a 4 foot pipe connected to a node with a maximum depth of 2 feet will be increased to 4 feet

5. The output text file will say what the maximum depth is or 4 feet in this case

The Meaning of Warning 02

EPA SWMM-CAT Climate Adjustment Tool to InfoSWMM and H2OMap SWMM

How to set an internal boundary condition in SWMM 5, InfoSWMM and H2OMap SWMM

How to set an internal boundary condition in SWMM 5, InfoSWMM and H2OMap SWMM

1. Make the internal boundary node a storage node
2. Set the Storage node initial depth
3. Give it a large storage area
4. Set the offset depth of the link below the storage node to the Storage Node initial depth
5. The Node depth will be at the initial depth at the start of the simulation

                Internal Boundary Node in SWMM 5 at a fixed depth.

How to Make a Trapezoidal Inflow Time Series in InfoSWMM

You can make a Trapezoidal shaped Time Series in InfoSWMM by using the following steps:

1. .       Use the Inflow Icon at a Node in the Attribute Browser
2. .       Use either an Inflow Time series with date/time/value or
3. .       A baseline flow value with a pattern
4. .       The time series comprise a Date that matches your simulation time period
5. .       A hour:minute:second Time value in the Time Series Table
6. .       A flow unit with the units used in the General Tab of Run Manager
7. .       This time series is entered in the Attribute Browser under Time Series in the Operation Tab

How to Make An Inflow Time Series at a Node in InfoSWMM

How to Make Scatter Graphs in InfoSWMM and H2OMap SWMM

How to Make Scatter Graphs in InfoSWMM and H2OMap SWMM

Scatter graphs of velocity on the X axis and depth on the Y axis are important to help understand the reason for flow/depth relationships in flow surveys.  You can make a scatter graph in InfoSWMM by plotting the link flow and the by clicking on the Report button.  A right mouse click will bring up the Data Scatter Plot option. The column on the left of the selected columns will be the X Axis column of data. The column on the right will be the Y Axis column of data.  The default is depth followed by velocity. The order variables can be changed by using the Format Icon (bullet 1) followed by the Scatter Plot selection of velocity/depth (see Figure 1 for an example).  Figure 2 shows how to make a Log/Log Scatter Graph in InfoSWMM using the Properties Icon.

Figure 1.  The Basic Velocity vs Depth Scatter Graph in InfoSWMM

Figure 2.  The Log/Log Options for a Scatter Graph.

How to make a smaller model out of your larger InfoSWMM or H2OMap SWMM network

How to make a smaller model out of your larger InfoSWMM or H2OMap SWMM network:

•       Make a domain and then an active facility from the domain for your larger network
•       Export the Active Newtork in the current scenario to SWMM 5
•       Import the smaller model from SWMM 5 into a different InfoSWMM model
•       You now have a smaller model in InfoSWMM or H2OMap SWMM.

Steps to Make a Smaller Model from an InfoSWMM or H2OMap SWMM Model

Cool Inlets, Suds, LID Images from Twitter

Come across some different takes on sensitive SuDS inlets and outlets... pic.twitter.com/ly8ruIjU8G
— susdrain @ CIRIA (@Sudsulike) May 17, 2014

KC approach to storm water management. pic.twitter.com/gS1eR9f2ek
— steve sinclair (@stevesinclair52) May 21, 2014

And another one, for all those thinking of retrofitting a rain garden or two... pic.twitter.com/KO6kyPD8H7
— susdrain @ CIRIA (@Sudsulike) May 17, 2014

RT @SuDSWales: Bioretention planter in Llanelli. Part of the @DwrCymru RainScape programme (soon to be on @sudsulike) pic.twitter.com/hPR3wuzX9e
— susdrain @ CIRIA (@Sudsulike) May 15, 2014

KC approach to storm water management. pic.twitter.com/gS1eR9f2ek
— steve sinclair (@stevesinclair52) May 21, 2014

Tip for The Ponding Allowed Option in SWMM 5

Tip for The Ponding Allowed Option in SWMM 5

Normally, it is better to have smaller ponding allowed area in SWMM 5 due to considerations outlined in this earlier blog and 2nd Blog but if you have a low lying area with ponding allowed it is better if you have a larger ponding area so that the depth above the rim elevation of the node is small and you do not set up reverse  flow and cause flooding at other modes due to the  higher HGL.  Figure 1 illustrates a typical HGL profile and Figure 2 shows the better flooding  graphs as you increase the ponding surface area for the low lying node.

Figure 1.  HGL around a low Lying Node

Figure 2.  Smoother Flooding Graph due to Higher Surface Ponding Area

LID Sizing References for SWMM 5, H2OMap SWMM and InfoSWMM

 LID Sizing References:

http://www.lid-stormwater.net/index.html

http://www.scvurppp-w2k.com/pdfs/1112/c3_workshop/C3_Workshop_Track_2_Sizing_Calcs_6-5-12.pdf

http://www.co.pierce.wa.us/ArchiveCenter/ViewFile/Item/1155

http://extension.oregonstate.edu/stormwater/lid-infiltration-facility-calculator-aka-rain-garden-calculator

http://www.lowimpactdevelopment.org/epa03/LIDtrans/L07_Swales.pdf

http://www.cleanwaterservices.org/Content/Documents/Permit/LIDA%20Handbook.pdf

http://www.swmm5.net/2013/06/applicazione-di-tecnologie-bmp-ai.html

In addition we also have a PDF file in the InfoSWMM Help File directory called InfoSWMM Applications Guide.pdf which will help from the EPA SWMM 5 applications manual

InfoSWMM Applications Guide.pdf Network

How to Use Qfull in a Map Display in InfoSWMM

 How to Use Qfull in a Map Display in InfoSWMM and H2OMap SWMM

Here is how you can plot the Qfull for a link on the Map Display:

1.      Copy the Qfull Value from the Run Manger Conduit Summary Output Table

2.      Paste it into the DB Table for Conduit Information, You will need to make a new column with a numeric type

3.  The  Map Display will now have a Map Display variable called Qfull or whatever you created

4.      The Map will now show the  value of Qfull or the full flow based on Manning's equation

Qfull in a Map Display in InfoSWMM and H2OMap SWMM

How SWMM5 uses zero Subcatchment Slope in its Runoff Calculations

This is just a note on how SWMM5 uses zero Subcatchment Slope in its Runoff Calculations:

1. If the slope is zero then the engine will NOT calculate Runoff as the WCON parameter is zero (Bullet 4 in Figure 1)

2. If you do want Runoff from all of your Subcatchments then you need to check the slope value in your Hydrology by doing a data query (Bullet 2 in Figure 2)

3. If you want to use the zero slope as a facility manager in your models then you can use a zero slope and have no Runoff. it is a way to deactivate a portion or section of your model.

Figure 1.  How SWMM5 Uses Zero Subcatchment Slope

Graphical and Database Tools for Checking your InfoSWMM, H2OMap SWMM and SWMM 5 Models

If you are running a large InfoSWMM, H2OMap SWMM or SWMM 5 model is it often hard to see all of the details for the Runoff Hydrology at one glance.  A few quick checks on the overall balance sometimes help speed up the model greatly for new runs:

1. Check the Overall Runoff Balance (Bullet 1 in Figure 1)
2. Check the overall Hydraulic Balance (Bullet 2 in Figure 1)
3. Check the average time step (Bullet 3 in Figure 1). If the average time step is much less than the Maximum time step the Maximum time step should be reduced in the next run.
4. Do have pervious infiltration in every Subcatchment?  (Bullet 4 in Figure 1)
5. The Min, Mean and Max Infiltration Rate can be found with the DB Statistics Tool.
6. A Scatter Plot of Runoff Coefficient versus Infiltration for all the Subcatchments to show any outlying Subcatchments - this can show an improper setup for the Infiltration in InfoSWMM DB Table (Figure 2).

Figure 1. Mass Balance Items to Check in the InfoSWMM or H2OMap SWMM Output Run Manager

Figure 2.  A Scatter Plot of Runoff  Coefficient versus Infiltration can also Show Outlying Subcatchments

How an Inflow Time Series is Used in ICM compared to SWMM5 using H2OMap SWMM and InfoSWMM

How an Inflow Time Series is Used in ICM compared to SWMM5 using H2OMap SWMM and InfoSWMM.  The main points are illustrated by blue bullet points in Figure 1.  ICM and SWMM 5 both use time series but in SWMM 5 one time series can be applied to multiple nodes.

1. Inflow Time Series Name uses a CSV file
2. The CSV file has time rows, flows for the number of nodes with inflow and column headers with the names of the nodes,
3. InfoSWMM, H2OMap SWMM and SWMM 5 have a user defined time series at loading nodes in the Inflow Icon,
4. A time series is used as the source of flow and the time series can be the same for multiple nodes.

Figure 1.  Inflow Time Series in ICM and SWMM5

SCS Hydrology In InfoSWMM and H2OMap SWMM Initial Abstraction Values

If you are using one of the SCS Options in InfoSWMM and H2OMap SWMM (Bullet 1 in Figure 1) then you should:
1. The CN, Time of Concentration and an optional Initial Abstraction in the Subcatchment DB Table (Bullet 2)
2. If the Initial Abstraction is zero then the default SCS Storage Equation or S = 0.2 (1000/CN - 10)
3. The losses from the Subcatchment occur the start and during the simulation (Bullet 3) and the Runoff is delayed compared to the Rainfall.   
4. If you do not want to use S = 0.2 (1000/CN - 10) then a positive value based on alternatives such as S = 0.1 (1000/CN - 10) or S = 0.05 (1000/CN - 10)

Figure 1. SCS Hydrology In InfoSWMM and H2OMap SWMM

Dummy Outfall for Dynamic Wave Models converted from Kinematic Wave Models in SWMM 5

If you are using Kinematic Wave Routing in SWMM 5 you can switch to Dynamic Wave if you have any issues with a continuity error.  There is on potential issue, however, as you need to have an outfall in your dynamic wave model.  You can get around this issue by adding a dummy isolated outfall but it would be better to have an actual outfall.

Adding a Dummy Outfall in SWMM 5

RDII Components at a node for a 100 year simulation in SWMM 5

Introduction:  This set of blogs uses the 1000 year rainfall/runoff/hydraulics model that you can download at http://swmm2000.com/forum/topics/1000-year-simulation-with-rainfall-in-swmm-5 to show the inner workings of SWMM 5 and by extension InfoSWMM and H2oMap SWMM using a QA/QC version of SWMM 5 with extended graphics.   I always hope that seeing the inner workings of a SWMM 5 feature helps to understand the code, sensitivity and importance of a parameter.   It also helps show sometimes when a parameter is not important.   In this example, we show some of the internal working of the RDII estimation for SWMM5. 

Discussion:  There are nine main parameters for estimating RDII in SWMM 5:

1.       Slow response or R1, T1 and K1
2.      Medium response  R2, T2 and K2
3.      Fast Response or R3, T3 and K3
4.      The RDII flow is associated with a Node in SWMM 5 (Figure 1)
5.      The RDII flow is composed of three separate time series generated from the slow, medium and fast R,  T and K values (Figure 2)
6.      If you look at the total number of RDII events for the 100 years, the number of events goes down based on the value of the Time Base of the UH or T*K (also Figure 2) 

Figure 1.   RDII at a node for a 100 year simulation in SWMM 5

  

Figure 2.   RDII Component Events over the 100 year period using the SWMM 5 statistics block