Autodesk Technologist with Information about Stormwater Management Model (SWMM) for watershed water quality, hydrology and hydraulics modelers (Note this blog is not associated with the EPA). You will find Blog Posts on the Subjects of SWMM5, ICM SWMM, ICM InfoWorks, InfoSWMM and InfoSewer.
Showing posts with label #INFOSWMM. Show all posts
Showing posts with label #INFOSWMM. Show all posts
Thursday, August 4, 2016
Sunday, May 1, 2016
Why is a Hot Start File important in SWMM 5 and InfoSWMM
A Hot Start File in InfoSWMM or SWMM 5 is important as it provides initial depths, initial flows and initial settings for the hydrology and hydraulics features of the SWMM 5 engine. You have three options:
- Save a hot Start File at the end of the simulation,
- Use a hot Start File at the beginning of the simulation,
- Create a hot start file from the a time during the Map Display
If you change any of the network types or add new links and nodes then the Hot Start file needes to be recreated. InfoSWMM use the Tab File in the Run Manager to name the Hot Start File (Figure 1). Each and every Scenario in InfoSWMM can use or Save a different scenario with different starting and ending times (Figure 2). If you USE a Hot Start File then:
- The new simulation starts at the end of the old simulation
- You can run a Quasi Steady State Simulation and use a very short simulation time of minutes if you use a Hot Start File
- Figure 3 shows the effect of Using a Hot Start File
Tuesday, April 12, 2016
InfoSWMM Sustain Generation V2.0 Delivers Significant Advancements for Comprehensive Urban Stormwater Treatment and Analysis
InfoSWMM Sustain Generation V2.0 Delivers Significant Advancements for Comprehensive Urban Stormwater Treatment and Analysis
Latest Release Confirms Product’s Role as Industry Leading GIS-Centric Solution for Determining Optimal Green Infrastructure Strategies
Broomfield, Colorado, USA, April 12, 2016
Innovyze, a leading global innovator of business analytics software and technologies for smart wet infrastructure, today announced worldwide availability of the V2.0 Generation of its industry-leading InfoSWMM Sustain for comprehensive urban stormwater treatment and analysis. The new version lets users quickly and reliably determine optimal green infrastructure strategies for reducing volume and peak flows to combined sewer systems as well as evaluating the benefits of distributed green infrastructure implementation on water quantity and quality in urban streams.
InfoSWMM Sustain is a comprehensive geocentric decision support system created to assist stormwater management professionals in developing and implementing plans for flow and pollution control measures to protect source waters and meet water quality goals. The software allows users to locate, develop, evaluate, and select optimal best management practice (BMP), low impact development (LID) and Sustainable Urban Drainage Systems (SUDS) combinations at various watershed scales based on cost and effectiveness. It can accurately model any combination of LID controls, such as porous permeable pavement, rain gardens, green roofs, street planters, rain barrels, infiltration trenches and vegetative swales to determine their effectiveness in managing stormwater and combined sewer overflows. Furthermore, InfoSWMM Sustain will automatically assess the geographic properties in the study area including soil properties, land use, slope, building footprint, groundwater, land ownership, imperviousness and other pertinent factors to determine all possible locations of feasible green infrastructure alternatives. These expanded capabilities can greatly assist users in developing cost-effective and reliable implementation plans for flow and pollution control aimed at protecting source waters and meeting water quality goals. They do so by helping users answer key questions: How effective are BMPs in reducing runoff and pollutant loadings? What are the most cost-effective solutions for meeting water quality and quantity objectives? Where, what type, and how extensive should BMPs be?
By seamlessly integrating ArcGIS 10.x (Esri, Redlands, CA) with SWMM 5.1, InfoSWMM Sustain greatly expands and improves on the USEPA SUSTAIN software to provide critically needed support to watershed practitioners at all levels in developing stormwater management evaluations and cost optimizations to meet their program needs. The software can automatically import any SWMM 5.1, InfoSWMM or InfoWorks ICM (exported to SWMM 5.1) model, then evaluate numerous potential combinations of BMPs and LIDs to determine the optimal combination to meet specified objectives such as runoff volume or pollutant loading reductions. Both kinematic wave and full dynamic wave flow routing models are fully supported. Among its many vital applications, InfoSWMM Sustain can be effectively used in developing TMDL implementation plans, identifying management practices to achieve pollutant reductions under a separate municipal storm sewer system (MS4) stormwater permit, determining optimal green infrastructure strategies for reducing volume and peak flows to combined sewer systems, evaluating the benefits of distributed green infrastructure implementation on water quantity and quality in urban streams, and developing a phased BMP installation plan using cost effectiveness curves.
Among its many major enhancements, Version 2.0 lets users optimize the entire system (using advanced Genetic Algorithms), not only individual subcatchments. Users can also choose a system-wide budget constraint and reduction target for runoff and/or pollution, view LID design and performance directly from the Cost Effectiveness Curve, compare hydrographs for runoff and pollutant of the various solutions on the Cost Effectiveness Curve, implement any desired LID design solution in InfoSWMM, and display the optimal system-wide runoff/pollutant reduction. The new release also introduces an improved, more intuitive user interface that visually highlights and simplifies the workflow process. Users can now quickly evaluate complex decisions about green infrastructure selection and placement performance, costs for meeting flow or water quality targets, or both. The software gives them the power they need to maximize water quality benefits, minimize stormwater management costs and combined sewer overflows, and protect the environment and public health.
“With InfoSWMM Sustain, we are extending our success in the smart network modeling marketplace to address the specific needs of stormwater management professionals and their engineering consultants,” 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. “The new release performs very sophisticated hydrologic and water quality modeling in watersheds and urban streams, and enables users to determine optimal management solutions at multiple-scale watersheds to achieve desired water quality objectives based on cost effectiveness. It also gives users the power tool they need to maximize water quality benefits, minimize stormwater management costs and combined sewer overflows, and protect the environment and public health. This is a must-have for predicting the environmental outcomes of different design and management approaches as well as developing optimal plans for flow and pollution control to protect source waters and meet water quality goals.”
Pricing and Availability
Upgrade to InfoSWMM Sustain V2.0 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
- See more at: http://www.innovyze.com/news/1672/#sthash.BhyC5GxG.dpufInfoSWMM Sustain is a comprehensive geocentric decision support system created to assist stormwater management professionals in developing and implementing plans for flow and pollution control measures to protect source waters and meet water quality goals. The software allows users to locate, develop, evaluate, and select optimal best management practice (BMP), low impact development (LID) and Sustainable Urban Drainage Systems (SUDS) combinations at various watershed scales based on cost and effectiveness. It can accurately model any combination of LID controls, such as porous permeable pavement, rain gardens, green roofs, street planters, rain barrels, infiltration trenches and vegetative swales to determine their effectiveness in managing stormwater and combined sewer overflows. Furthermore, InfoSWMM Sustain will automatically assess the geographic properties in the study area including soil properties, land use, slope, building footprint, groundwater, land ownership, imperviousness and other pertinent factors to determine all possible locations of feasible green infrastructure alternatives. These expanded capabilities can greatly assist users in developing cost-effective and reliable implementation plans for flow and pollution control aimed at protecting source waters and meeting water quality goals. They do so by helping users answer key questions: How effective are BMPs in reducing runoff and pollutant loadings? What are the most cost-effective solutions for meeting water quality and quantity objectives? Where, what type, and how extensive should BMPs be?
By seamlessly integrating ArcGIS 10.x (Esri, Redlands, CA) with SWMM 5.1, InfoSWMM Sustain greatly expands and improves on the USEPA SUSTAIN software to provide critically needed support to watershed practitioners at all levels in developing stormwater management evaluations and cost optimizations to meet their program needs. The software can automatically import any SWMM 5.1, InfoSWMM or InfoWorks ICM (exported to SWMM 5.1) model, then evaluate numerous potential combinations of BMPs and LIDs to determine the optimal combination to meet specified objectives such as runoff volume or pollutant loading reductions. Both kinematic wave and full dynamic wave flow routing models are fully supported. Among its many vital applications, InfoSWMM Sustain can be effectively used in developing TMDL implementation plans, identifying management practices to achieve pollutant reductions under a separate municipal storm sewer system (MS4) stormwater permit, determining optimal green infrastructure strategies for reducing volume and peak flows to combined sewer systems, evaluating the benefits of distributed green infrastructure implementation on water quantity and quality in urban streams, and developing a phased BMP installation plan using cost effectiveness curves.
Among its many major enhancements, Version 2.0 lets users optimize the entire system (using advanced Genetic Algorithms), not only individual subcatchments. Users can also choose a system-wide budget constraint and reduction target for runoff and/or pollution, view LID design and performance directly from the Cost Effectiveness Curve, compare hydrographs for runoff and pollutant of the various solutions on the Cost Effectiveness Curve, implement any desired LID design solution in InfoSWMM, and display the optimal system-wide runoff/pollutant reduction. The new release also introduces an improved, more intuitive user interface that visually highlights and simplifies the workflow process. Users can now quickly evaluate complex decisions about green infrastructure selection and placement performance, costs for meeting flow or water quality targets, or both. The software gives them the power they need to maximize water quality benefits, minimize stormwater management costs and combined sewer overflows, and protect the environment and public health.
“With InfoSWMM Sustain, we are extending our success in the smart network modeling marketplace to address the specific needs of stormwater management professionals and their engineering consultants,” 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. “The new release performs very sophisticated hydrologic and water quality modeling in watersheds and urban streams, and enables users to determine optimal management solutions at multiple-scale watersheds to achieve desired water quality objectives based on cost effectiveness. It also gives users the power tool they need to maximize water quality benefits, minimize stormwater management costs and combined sewer overflows, and protect the environment and public health. This is a must-have for predicting the environmental outcomes of different design and management approaches as well as developing optimal plans for flow and pollution control to protect source waters and meet water quality goals.”
Pricing and Availability
Upgrade to InfoSWMM Sustain V2.0 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
Saturday, February 6, 2016
Innovyze RDII Analyst for the Analysis and Calibration of RDII, DWF, DWF Patterns and GWI in Sewer Collection Systems
One of the most powerful InfoSWMM, InfoSWMM SA and H2OMAP SWMM Application Tools from Innovyze is RDII Analyst. RDII Analyst will separate out the Groundwater base flow, Dry Weather Flow (DWF), DWF Patterns, estimate the Wet Weather flow component or RDII Rainfall -Derived Infiltration Inflow (I&I) and use a Genetic Algorithm to find the best fit 12 RTK parameters for RDII modeling. This powerful tool can be used for RTK flow in InfoSWMM, H2OMAP SWMM, InfoSewer, SWMM 5 and InfoWorks ICM. Figure 1 shows one of the end results of RDII Analyst – a correlation plot of Observed versus Calibrated RDII Volume for the simulated events.
RDII Analyst is a significant improvement over the EPA SSOAP program, performs QA/QC of rainfall and flow monitoring data and decomposes the flow data into Dry-Weather Flow (DWF) and Wet-Weather Flow (RDII) components using criteria such as rainfall threshold. The DWF component is further analyzed to construct a DWF pattern that can be used to simulate the collection system using InfoSWMM. The DWF pattern is then assigned to the source nodes that contribute DWF to the meter location in proportion to sewershed areas or based on other criteria. The RDII component is then analyzed to determine RDII events and to calibrate parameters of the RTK synthetic unit hydrograph so that the RDII flow simulated by the RTK method closely matches the RDII flow obtained by the decomposition process. The RTK unit hydrograph parameters are calibrated with genetic algorithm optimization. The calibrated RTK parameters and the DWF patterns are then passed to InfoSWMM to carry out detailed dynamic flow routing through the sewer system and evaluate system response to support the development of an optimal capital improvement program. You can read the World Environmental and Water Resources Congress paper by Misgana and Boulos (2008) with a complete description and validation of the RDII Analyst workflow process for both RDII Analyst and for the InfoSWMM Calibrator Add-On in the InfoSWMM Suite (Boulos, 2005)
The steps in using RDII Analyst are both simple and powerful, the main steps are:
- Import flow monitoring data and rainfall data into RDII Analyst
- Perform QA/QC for the flow data and the rainfall data
- Determine dry day flows and create hourly DWF pattern for weekend and weekdays
- Determine the groundwater flow component of the dry days flows
- Determine RDII flow time series
- Identify RDII events, and perform linear regression analysis on the RDII depth and rainfall depth calculated for each RDII event
- Run Genetic Algorithms based calibration of the RTK hydrograph parameters and review calibration results
- Export the DWF patterns, the GWF time series and the calibrated RTK parameters to InfoSWMM
In this overview of the steps in the remainder of the blog post, you’ll learn how the RDII Analyst tool works in general and what terminology is used to describe each step. This is recommended reading for anyone who is new to RDII Analyst. If you are experienced in RDII decomposition, you can probably just skim it when needed.
Step 1. Define the Flow and Rainfall Data
The flow and rainfall data are imported by each monitored Node location. The flow and rainfall format are defined along with the monitored data time intervals. The rainfall and flow do not have to be at the same interval or cover exactly the same time period. The Flow Data Tab displays the flow data that has been read from the flow data file. The display consists of the data area showing Date Time and Value field that is read from the data file. The Rainfall Data Tab displays the flow data that has been read from the rainfall data file. The display consists of the data area showing Date Time and Value field that is read from the data file.
Step 2. DWF Extraction
The DWF Mean and Patterns are extracted from the Flow Time Series and the residual is used as the basis of the RTK parameter estimation. The dry day flows identified for weekdays and the weekend are further analyzed to determine hourly DWF patterns that can be used to model DWF in InfoSWMM . The DWF pattern presents average hourly DWF values across all dry days for both weekdays and weekend. The DWF pattern is given both graphically and in report form as shown below. The DWF patterns can be exported to InfoSWMM and are assigned to nodes that contribute flow to the meter location proportional to sewershed area or equally among all nodes.
Once determined, the dry days flows are presented both in report form and in graph form for weekend and for weekdays as shown below. The graph shows average daily flow for each dry day, and upper bound and the lower bounds. The upper bound refers to mean flow of all dry day flows plus standard deviation multiplier *standard deviation of dry day flows. The lower bound refers to mean flow of all dry day flows minus standard deviation multiplier *standard deviation of dry day flows. The bounds help the user visually identify outliers and, if necessary, discard those days from further consideration.
Step 3. Ground Water Base Flow Extraction
The DWF Mean and Patterns are extracted from the Flow Time Series and the residual is used as the basis of the RTK parameter estimation. As part of the DWF Extraction, the GW flow can be estimated and later exported to InfoSWMM and a Time Series (Figure 7). The groundwater flow time series can be exported to InfoSWMM as external inflow and can be assigned to nodes that contribute flow to the meter location proportional to sewershed area or equally among all nodes.
Step 4. Export DWF Pattern and DWF Means to the Domain in InfoSWMM
Assign DWF Pattern: This tool assigns the hourly DWF patterns developed for weekdays and weekends to InfoSWMM nodes that contribute flow to the monitoring site. The DWF pattern is allocated to the contributing nodes either proportional to sewershed area of each contributing node, or simply equally among all contributing nodes. The user must assign an ID to be used as the weekday and weekend pattern name. The assignment could be limited to nodes in a domain by checking the Assign to Domain Nodes option.
Step 5. Create the RDIII or Wet Weather Time Series
RDII flow is the difference between the corrected monitoring flow data, and the sum of average hourly DWF pattern and the groundwater flow time series. Once the hourly DWF pattern and the groundwater flow components are identified, the sum of the two components would be subtracted from the corrected flow data to determine the RDII flow component.
Step 6. Calibrate the 12 RDII Parameters
One of the objectives of decomposing flow monitoring data into dry weather flow and wet weather flow components is to improve the accuracy of modeling the wet-weather flow component. In H2OMAP SWMM, RDII flow is modeled using the RTK method as previously described. The RTK method requires definition of up to 12 parameters. Proper choice of these parameters is crucial for accurate modeling of the RDII flow. Traditionally, RDII UH parameters are assigned using a tedious and inexact trial-and-error process in which the parameters are manually adjusted in an iterative fashion to closely match wet-weather flow data with the RDII flow generated by the simulation model using the assumed RTK parameters. Since there are a vast number of possible combinations of RTK values, evaluating all options this way may not be manageable, and even knowledgeable modelers often fail to obtain good results. RDII Analyst uses Genetic Algorithms (GA) optimization to automatically determine the UH parameters that best match the RDII time series generated by the RDII Analyst with the RDII flow estimated using H2OMAP SWMM.
The RDII calibration tool is launched using Analysis -> Calibrate RDII Parameters or using from tools. Minimum and maximum value for each parameter should be defined using the RTK Parameters Range dialog editor.
The calibration tool systematically searches for the best set of parameters that matches the RDII flow simulated by H2OMAP SWMM with RDII time series determined by the decomposition process. The parameter values would be searched within the minimum and the maximum ranges assigned by the user on dialog editor shown above. The model would adjust the nominal parameter values assigned by the user on H2OMAP SWMM RDII hydrograph dialog editor (see below) by a randomly selected multiplier within the range assigned for the parameter and chooses the optimal set of adjustments. The Tributary Area may be taken from the sewershed area defined in H2OMAP SWMM’s Hydrograph page, or the user can directly specify area of the tributary sewersheds. In addition, the user has the option to use sewershed area of the nodes defined in a domain. The Ensure that R1>R2>R3 option ensures that the RDII flow contributed by the first triangle (fast flow contribution) would be higher than contribution of the second triangle (intermediate flow), and contribution of the second triangle would be higher than that of the third triangle (slow flow).
Domain Node option is checked, sewershed area of the nodes included in the domain will be considered. Nodes in the domain will not contribute sewershed area. Once the parameters are assigned, hitting the OK button would initiate the calibration dialog box (see below).
Options: Some Genetic Algorithms (GAs) parameters may be defined using the options page initiated by clicking the Options button on the Calibrate RDII Parameters dialog box.
Initial Population: Represents the number of initial solution candidates considered by the GAs calibrator. Each solution candidate contains a value H2OMAP SWMM the assigned range for each RTK parameters. The higher the Initial Population, the better the calibration results would be. However, the calibration process takes more run time as the number of population increases.
Max. Generation: Represents the maximum number of iterations required to complete the calibration process. One generation represents running the model for initial population number of times, and each simulation represents different solution candidates. The higher the maximum generation, the better the chance of improving the calibration. Again, the improvement comes at the cost of more calibration run time. The calibration process can stop before reaching the maximum generation if there is no improvement in results from generation to generation.
Mutation Rate: represents the percentage of solution candidates whose one or more parameter values needs to be randomly altered to inject new and potentially better solution candidates into the search process during each generation. The value must be within zero and one, and typical value is 0.1.
Calibration Results: Upon completing the calibration run, the best RTK parameter values would be reported as shown below. The percentage adjustment and then actual parameter values suggested are reported in the last two columns. In addition, graphical comparison of the RDII flow generated by the calibrated parameters and the RDII time series generated by the decomposition process would be provided to visually analyze the calibration results
Step 7. Examine the Calibration Report
The number of trial runs made so far, the maximum number of trials to be made and the best fitness obtained from the trail runs made so far would be shown while the model is running. If there is no significant improvement in the fitness for some time (i.e., from generation to generation), then the calibration process would be stopped. Once the calibration run is completed, the RDII flow simulated by the optimal RTK parameters identified by the calibration process would be compared graphically with the RDII time series obtained from the decomposition process. In addition, the optimal RTK parameters identified by the model would also be presented in table form.
RDII Analyst can further analyze the RDII time series to identify RDII events. Breaking RDII time series into separate events can enable a better understanding of the RDII process and aid in process of calibrating the model. Event definition depends on the values assigned for the inputs given in the RDII EVENT IDENTIFICATION dialog box shown below.
Minimum Rainfall Volume: represents the minimum rainfall depth that needs to be collected from “continuous” rain to initiate an event. By continuous rain, it means that for two rainfall occurrences to be considered as one event the time interval between the successive rains should not exceed the interevent time threshold defined by the user.
Minimum RDII Flow: represents the minimum RDII flow that should be generated as the result of the rainfall collected over the duration to accept the occurrence as an event.
Minimum Length of the Event (hr): refers to the minimum length of time that the RDII flow should exceed the minimum RDII flow for the occurrence to be accepted as an event.
Interevent Time Threshold (hr): refers to the length of time needed to separate two successive events. If two rainfall occurrences are separated by duration shorter than the Interevent Time Threshold, then the two rainfall occurrences are considered as one event.
Length of Time for Rain to become RDII (hr): This input refers to average time span for a rainfall event to start contributing RDII to the collection system. Depending on this input, the RDII event identification algorithm tests if an RDII flow has occurred within the Length of Time for Rain to become RDII (hr) after a rainfall event.
Tributary Area: This input is used to compute RDII flow depth based on RDII flow volume determined for each event. RDII Analyst can use the sewershed area defined in InfoSWMM’s RTK Hydrograph page, or the user can directly specify area of the tributary sewersheds. In addition, the user has the option to use sewershed area of the nodes defined in a domain. If the Use Domain Node option is checked, sewershed area of the nodes included in the domain will be considered. Nodes in the domain will not contribute sewershed area.
Step 8. RDII Event Analysis Results
Linear Regression Results: A linear regression equation is developed between the RDII depth and rainfall depth identified for each event. Slope of the regression equation represents the fraction of rainfall depth that enters the sewer system in the form of RDII (i.e., a representative R for all events).
Step 9. Export the RDII RTK Parameters to InfoSWMM
This function assigns either the RTK parameters determined by the calibration tool or the RDII time series determined by decomposing the flow monitoring data to InfoSWMM nodes that contribute flow to the monitoring site. The RTK parameters could be exported to InfoSWMM and assigned to RDII hydrographs for each contributing node. The time series is assigned to the nodes as external inflow. The RDII time series is allocated to the contributing nodes either proportional to sewershed area of each contributing node, or simply equally among all contributing nodes. The user must provide a name for the Hydrograph and/or the Time Series. The assignment could be limited to nodes in a domain by checking the Assign to Domain Nodes option. Please note that if both the GWF time series and the RDII time series are exported into InfoSWMM , only the time series exported last would be available for use. InfoSWMM takes only one exported external inflow time series at a time.
Saturday, January 16, 2016
A few connected tweets about #LID or #SuDS, #SWMM5, #INFOSWMM, #YOUTUBE and #INFOSEWER
A few connected tweets about #LID or #SuDS, #SWMM5, #INFOSWMM, #YOUTUBE and #INFOSEWER
via @WatershedCenter Low impact development #SuDS a natural way to manage #stormwater.http://bit.ly/1OmTzh1
2/ One of the Subscribed H&H Channels is https://www.youtube.com/user/Innovyze/playlists … for all @Innovyze Software on YouTube
1/ The YouTube channel https://www.youtube.com/user/SWMM5/playlists … is getting close to 15,000 views & subscribes to many H&H channels
New Help Files for #INFOSWMM and #INFOSEWER include many hyperlinks to our Forum, Blog and http://innovyyze.com
Wednesday, January 13, 2016
Thursday, December 17, 2015
There was a change in EPA SWMM 5.1 to better represent Weekend vs Weekday Hourly flow patterns
There was a change in EPA SWMM 5.1 to better represent Weekend vs Weekday
Hourly flow patterns
1. Scenario Name
2. Junction ID for the node that receives the DWF
3. The item – either FLOW, MASS or Concentration (Use Blockedit to just
set this at Flow for all Rows) and you should fix your problem.
4. Value – the flow in the units defined in the Run Manager
5. Pattern1 – Can be Weekend, Hourly (Weekday only), Monthly or Daily
patterns. They can be in any order but Hourly only applies Monday to
Friday.
6. Pattern2 – Can be Weekend, Hourly (Weekday only), Monthly or Daily
patterns. They can be in any order but Hourly only applies Monday to Friday.
7. Pattern3 – Can be Weekend, Hourly (Weekday only), Monthly or Daily
patterns. They can be in any order but Hourly only applies Monday to Friday.
8. Pattern4 – Can be Weekend, Hourly (Weekday only), Monthly or Daily
patterns. They can be in any order but Weekend only applies to Saturday and
Sunday.
9. Alloc Code which is a tag from the DWF Allocator
It used to be that the two hourly patterns were applies as
… the week end flows are generated in the model by
multiplying Node DWF x Hourly x Weekend x Daily x Monthly.
But now
… the week end flows (Saturday and Sunday) are generated in
the model by multiplying Node DWF x Weekend x Daily x Monthly.
… the daily flows (Monday to Friday) flows are generated in
the model by multiplying Node DWF x Hourly x Daily x Monthly.
Wednesday, December 16, 2015
How to Tell how Long Normal Flow is used in a Link in #InfoSWMM, H2OMap SWMM w/ #SWMM5
How to Tell how Long Normal Flow is used in a Link in #InfoSWMM, H2OMap SWMM w/ #SWMM5
Find the Fraction of Normal Flow Limited in the Flow Classification Table and copy it to the Link Information Table - the value of FLM can then be Displayed in a Map using the Map Display command. In this small example, three links primarily used normal flow and one uses it for a short time. Normal flow only uses the Manning's equation and the link upstream depth, hydraulic radius and cross sectional area to compute the flow.
Find the Fraction of Normal Flow Limited in the Flow Classification Table and copy it to the Link Information Table - the value of FLM can then be Displayed in a Map using the Map Display command. In this small example, three links primarily used normal flow and one uses it for a short time. Normal flow only uses the Manning's equation and the link upstream depth, hydraulic radius and cross sectional area to compute the flow.
Friday, November 27, 2015
The Water Resources industry needs to assess incidents such as #flooding @MWHGLOBAL h/t @Innovyze
@InnovyzeRobert You might find some interesting topic. #InfoSWMM #Sustain #SUDS #LIDs https://t.co/dwh5UV8OOr
— Innovyze (@Innovyze) November 27, 2015
Innovyze Retweeted MWH Global
Innovyze added,
The industry needs to assess incidents such as #flooding. Dr Horton talks to @WETNews http://ow.ly/V4AId Sunday, November 22, 2015
A common look to the Icons in #INFOWATER, #INFOSWMM, #INFOSEWER in #ARCMAP for the @Innovyze #ARCGIS Products
1/ A common look to the Icons in #INFOWATER, #INFOSWMM, #INFOSEWER in #ARCMAP for the @Innovyze #ARCGIS Products pic.twitter.com/4qknXQjdHD
— Robert Dickinson (@InnovyzeRobert) November 22, 2015
2/ A common look to the Icons in #INFOWATER, #INFOSWMM, #INFOSEWER for Editing pic.twitter.com/mRy69Yb8I4
— Robert Dickinson (@InnovyzeRobert) November 22, 2015
3/ A common look to the Icons in #INFOWATER, #INFOSWMM, #INFOSEWER for Allocation of Demand or DWF pic.twitter.com/ByE100RCil
— Robert Dickinson (@InnovyzeRobert) November 22, 2015
4/ A common look to the Icons in #INFOWATER, #INFOSWMM, #INFOSEWER for the control center for @InnovyzePatrick pic.twitter.com/2L8Dw3N8Ev
— Robert Dickinson (@InnovyzeRobert) November 22, 2015
Saturday, November 21, 2015
#ArcGIS Tools such as Catalog, Viewer, Magnifier, Arc Toolbox expand the power of #INFOSWMM #2D
#ArcGIS Tools such as Catalog, Viewer, Magnifier, Arc Toolbox expand the power of #INFOSWMM #2D #rt pic.twitter.com/zgmaehdm3u
— Robert Dickinson (@InnovyzeRobert) November 22, 2015
Thursday, November 19, 2015
Sunday, November 15, 2015
Innovyze St Venant Solutions for InfoSewer, H20Map Sewer, #InfoSWMM, H2OMap SWMM and #InfoWorks_ICM and #InfoWorks_ICM_SE
This blog contrasts the St Venant Solutions for InfoSewerH20Map Sewer (1), InfoSWMM/H2OMap SWMM and ICM/ICM SE.
1. Assumptions for the St. Venant Equations
The assumptions behind Lumped and Distributed Models along with the assumptions of the St Venant equations. InfoSewerH20Map Sewer, InfoSWMM, H2OMap SWMM, SWMM5, ICM and ICM SE are all Distributed models for Unsteady flow. InfoSWMM and InfoSewerH20Map Sewer have options for direct steady flow. ICM and InfoSWMM can also use a quasi steady flow solution. All of these Innovyze models use the Continuity Equation and Momentum equation for routing flows in links. The numerical solution differs between the three Innovyze main platforms:
- InfoSewer and H2OMap Sewer
- InfoSWMM, H2OMap SWMM and SWMM 5
- ICM and ICM SE
Continuity Equation
Various Forms of the Momentum Equation
2. Muskingum-Cunge for InfoSewerH20Map Sewer
The continuity (mass conservation) equation is:
where
x = distance along the pipe (longitudinal direction of sewer)
A = flow cross sectional area normal to x
y = coordinate direction normal to x on a vertical plane
d = depth of flow of the cross section, measured along y direction
Q = discharge through A
V = cross sectional average velocity along x direction
S0 = pipe slope, equal to sin θ
θ = angle between sewer bottom and horizontal plane
Sf = friction slope
g = gravitational acceleration
t = time
β = Boussinesq momentum flux correction coefficient for velocity distribution
3. SWMM5, H2OMap SWMM and InfoSWMM
4. ICM and ICM SE
5. A common look at the Equations for ICM, ICM SE. InfoSWMM and H2OMap SWMM
ICM 2D and InfoSWMM 2D Equations
ICM 2D and InfoSWMM share the same computational engine as described on the Innovyze Blog
As the scheme is an explicit solution it does not require iteration to achieve stability within defined tolerances like the ICM 1D scheme or the iterative solution in InfoSWMM. Instead, for each element, the required timestep is calculated using the Courant-Friedrichs-Lewy condition in order to achieve stability, where the Courant-Friedrichs-Lewy condition is
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