Wallingford's procedure for runoff estimation is a well-known methodology

Wallingford's procedure for runoff estimation is a well-known methodology, especially in the UK. It's used for estimating urban stormwater runoff in drainage design. Here's a detailed table about the Wallingford procedure:

Aspect	Details with Emojis
Origin 🌍	Developed by the HR Wallingford group in the UK.
Primary Use 🛠️	Urban stormwater runoff estimation for drainage and sewerage system design.
Core Principle 🧠	Uses a unit hydrograph and rainfall depth to predict runoff hydrographs for a given rainfall event.
Components 📊	- Rainfall Profile: Defined using the time of concentration and a design storm profile. 🌧️\

• Unit Hydrograph: Represents runoff response to a unit of rainfall. 💧\
• Runoff Volume: Determined using impermeable area and rainfall depth. 🌊 | | Variables 🔢 | - Time of Concentration (Tc): Time taken for water to travel from the most distant point in the catchment to the outlet. ⏱️\
• Rainfall Intensity: Typically derived from Intensity-Duration-Frequency (IDF) curves. 📈\
• Impermeable Area: Surface areas that don't allow water infiltration, such as roads or buildings. 🏢🛣️ | | Applications 🏙️ | Commonly used in the design of urban drainage systems, including:\
• Stormwater drainage networks\
• Sewer systems\
• Flood risk assessments | | Advantages ✅ | - Relatively simple and requires fewer parameters than some other methods.\
• Widely accepted and used, especially in the UK.\
• Suitable for small to medium-sized urban catchments. | | Limitations ❌ | - May not be as accurate for larger or complex catchments.\
• Assumes a fixed proportion of rainfall becomes runoff, which might not be accurate for all scenarios.\
• Might not account for all complexities in real-world scenarios. |

This table provides a comprehensive overview of the Wallingford procedure for runoff estimation. It's worth noting that while the Wallingford method is valuable, it's essential to consider the specific requirements and conditions of a project when choosing a runoff estimation method.

XPSWMM to ICM SWMM or ICM Process Pathways

 

#	Process	Description
1	Technical details about how XPSWMM models a feature	This process involves understanding the specific algorithms, equations, and data inputs used by XPSWMM to model different features of an urban drainage system, such as hydrology, hydraulics, and water quality. This includes understanding how XPSWMM calculates runoff, infiltration, evaporation, and other hydrologic processes, as well as how it models the flow and routing of water through the drainage system.
2	The process of exporting a XPSWMM model to XPX	This process involves using the export functionality in XPSWMM to save the model in a format that can be used in the XPX software. This includes selecting the components of the model to export, specifying the export location, and ensuring that the exported file is in a format that can be read by XPX.
3	The process of exporting a XPSWMM model to SWMM5	This process involves using the export functionality in XPSWMM to save the model in a format that can be used in the SWMM5 software. This includes selecting the components of the model to export, specifying the export location, and ensuring that the exported file is in a format that can be read by SWMM5.
4	The process of importing the SWMM5 model to ICM SWMM	This process involves using the import functionality in ICM SWMM to load the model exported from SWMM5. This includes specifying the location of the exported file, mapping the components of the model to the appropriate inputs in ICM SWMM, and checking for any errors or inconsistencies in the imported model.
5	The process of importing the SWMM5 model to ICM	This process involves using the import functionality in ICM to load the model exported from SWMM5. This includes specifying the location of the exported file, mapping the components of the model to the appropriate inputs in ICM, and checking for any errors or inconsistencies in the imported model.
6	Validating the ICM SWMM Import	This process involves checking the imported model in ICM SWMM for errors or inconsistencies. This includes comparing the imported data to the original XPSWMM model, checking for missing or incorrect data, and making any necessary adjustments to the imported model before running the simulation.
7	Converting the ICM SWMM network to ICM	This process involves converting the imported model in ICM SWMM to the format used by the ICM software. This includes mapping the components of the model to the appropriate inputs in ICM, and making any necessary adjustments to the imported model before running the simulation.
8	Getting either ICM or ICM SWMM to run	This process involves configuring the software and the model, and then running the simulation. This includes setting the simulation parameters, specifying the time step and duration of the simulation, and specifying the output options.
9	Compare answers to XPSWMM	This process involves comparing the results of the XPSWMM simulation to the results of the simulation run in ICM or ICM SWMM. This includes comparing the hydrographs, water surface elevations, and other output variables, and identifying any discrepancies or issues with the results.
10	Technical details on how SWMM5 or ICM work compared to XPSWMM	This process involves identifying and implementing solutions to issues or problems that may arise during the use of the software or the simulation.

Importing InfoSWMM and SWMM5 to ICM SWMM Networks

 InfoSWMM_ICM_SWMM_InfoWorks in three minutes https://youtu.be/e9zq3UHFVWM via

@YouTube

Force Main hydraulic theory and how force mains are simulated in ICM, #SWMM5, #ICM_SWMM and XPSWMM - Emoji View

🚀 Force Main Hydraulics: A Dive into Theory and Simulation 🌊

Mel Meng's recent post is nothing short of enlightening! 🧠✨ Merging the intricacies of Force Main hydraulic theory with real-world simulation in tools like ICM, #SWMM5, #ICM_SWMM, and XPSWMM, Mel offers a comprehensive look at the subject. What stands out is his knack for blending theory with User Experience (UX), the magic of #Python 🐍, and the open-source wonders of #github 🖥️.

🔗 Dive into his insights here: LinkedIn Post

Want a more visual treat? 🎥 Check out this illustrative YouTube video that expands on his blog and code: Watch Now

Stay curious and keep exploring! 🌟🔍📚

#InfoWorks_ICM 7.0 comes with the Clark Unit Hydrograph routing model

#InfoWorks_ICM 7.0 comes with the Clark Unit Hydrograph routing model - see our blog https://t.co/VrcNm9L8qC pic.twitter.com/dt0WaGLxqp

— Innovyze (@Innovyze) September 1, 2016

Innovyze Further Expands RDII Analyst Functionality, Setting New Standard for Sanitary and Combined Sewer System Model Calibration

New Features Allow Unprecedented Analysis and Comparison of Rainfall-Derived Inflow and Infiltration Data, Parameters for Complex Sewers

Broomfield, Colorado, USA, March 15, 2016

Innovyze, a leading global innovator of business analytics software and technologies for smart wet infrastructure, today announced the newest release of its RDII Analyst (Rainfall-Derived Inflow and Infiltration) for InfoSWMM and H2OMAP SWMM. The new version delivers expanded functionality, incorporating many advanced Genetic Algorithm (GA) optimization features. It increases its unmatched productivity by making it easy for users to further adjust the dry weather flow (DWF) and RTK parameters (with initial and maximum monthly storages for continuous simulation) to achieve a better fit and ultimately a better model based on their experiences. The release confirms Innovyze’s commitment to giving the world the most complete toolset for modeling current sanitary and combined sewer collection systems.

Excessive wet weather flow from rainfall-derived manhole and pipe defect inflow and infiltration is a major source of sanitary and combined sewer overflows. Controlling these overflows is vital in reducing risks to public health and protecting the environment from water pollution. Computer modeling plays an important role in determining sound and economical remedial solutions that reduce RDII; improve system integrity, reliability and performance; and avoid overflows.

The processes for converting rainfall to RDII flow in sanitary sewer systems are very complicated. In addition to rainfall and antecedent moisture conditions, factors controlling RDII responses include depth to groundwater, depth to bedrock, land slope, number and size of sewer system defects, type of storm drainage system, soil characteristics, and type of sewer backfill. Given this degree of complexity, flow-monitoring data must be combined with mathematical modeling and analytics to provide accurate results. The wastewater flow monitoring data obtained by sewer collection systems consists of dry-weather flow components, ground water flow and twelve (12) RDII flow components. A crucial step in successfully modeling sewer collection systems is the ability to decompose flow-monitoring data into RDII flow, ground water flow and dry weather flow and its flow pattern.

Significantly superior to the EPA Sanitary Sewer Overflow Analysis and Planning (SSOAP) program and powered by advanced GA optimization and comprehensive data analytics and scenario management, RDII Analyst provides the ability to quickly and reliably perform these types of advanced flow decomposition data monitoring. It has been updated with tabular comparisons between the observed and calibrated RDII data for each event, including R value, peak flow, hydrograph volume and depth. This allows the user to better evaluate simulated and monitored data and judge how well it correlates on a per event basis. The user can also directly edit estimated DWF mean values to apply site specific knowledge to the RDII Analyst DWF extraction algorithm. These altered DWF values can then be used to estimate the wet weather flow component of the monitored flow, using a combination of the DWF extraction algorithm and site-specific knowledge. The new version also allows direct edits to the twelve RTK and storage parameters plus manual curve fitting to apply site specific knowledge to the genetic algorithm parameter estimation. Manual curve fitting is valuable in timing differences between monitored and calibrated wet weather flow components and employing previous experience in estimating RTK parameters.

“Innovyze continues to listen to our customers, invest very heavily in R&D, and deliver the advanced tools they need to effectively support their wastewater and urban drainage modeling and management challenges,” 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. “We are very excited that our vast worldwide customer base will now be able to use the powerful new features in RDII Analyst to enhance their modeling experiences, wrap better projects faster, and strengthen our communities’ sewer systems.”

Pricing and Availability
Upgrade to RDII Analyst is now available worldwide by subscription to the Executive program. 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/1667/Innovyze_Further_Expands_RDII_Analyst_Functionality,_Setting_New_Standard_for_Sanitary_and_Combined_Sewer_System_Model_Calibration#sthash.1h6ehlNs.dpuf

Room for more action in the London Sustainable Drainage Action Plan (SuDS)

Innovyze ‏@Innovyze  25m25 minutes ago

Modelling and Optimizing #SUDS available in #InfoSWMM #InfoWorks_ICM @Innovyze #rt https://twitter.com/PlanAbby/status/699593852366233600 …

A Good Groundwater Infiltration Module Blog in #Infoworks_ICM

A Good Groundwater Infiltration Module Blog in #Infoworks_ICM from DK on @INNOVYZE https://t.co/FltIDlfozg pic.twitter.com/cV9t8kVjE8

— Innovyze (@Innovyze) January 14, 2016

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