Emoji EPANET2.2 Reference Table

 

Author(s)	Year	Title	Emoji
Bhave	1991	Analysis of Flow in Water Distribution Networks	📘
Clark, R.M.	1998	Chlorine demand and Trihalomethane formation kinetics: a second-order model	🧪
Davis, M.J., Janke, R. & Taxon, T.N.	2018	Mass imbalances in EPANET water-quality simulations	⚖️
Dunlop, E.J.	1991	WADI Users Manual	📘
Edwards, D.K. III, Denny, V.E. & Mills, A.F.	1976	The eddy diffusivity in the turbulent boundary layer near a wall	🌀
George, A. & Liu, J.W.H.	1981	Computer Solution of Large Sparse Positive Definite Systems	💻
Koechling, M.T.	1998	Assessment and Modeling of Chlorine Reactions with Natural Organic Matter: Impact of Source Water Quality and Reaction Conditions	🧪
Liou, C.P. & Kroon, J.R.	1987	Modeling the propagation of waterborne substances in distribution networks	💧
Liu, J. W-H.	1985	Modification of the minimum-degree algorithm by multiple elimination	♾️
Notter, R.H. & Sleicher, C.A.	1971	The eddy diffusivity in the turbulent boundary layer near a wall	🌀
Rossman, L.A., Boulos, P.F. & Altman, T.	1993	Discrete volume-element method for network water-quality models	💧
Rossman, L.A. & Boulos, P.F.	1996	Numerical methods for modeling water quality in distribution systems: A comparison	📏
Rossman, L.A., Clark, R.M. & Grayman, W.M.	1994	Modeling chlorine residuals in drinking-water distribution systems	🧪
Todini, E. & Pilati, S.	1988	A gradient method for the solution of looped pipe networks	📏
Todini, E. & Rossman L.A.	2013	Unified Framework for Deriving Simultaneous Equation Algorithms for Water Distribution Networks	📏
Wagner, J.M., Shamir, U. & Marks, D.H.	1988	Water distribution reliability: Simulation methods	💧

SWMM 5 and ICM SWMM: A Powerful Duo for Urban Drainage Modeling 🤩

 SWMM 5 and ICM SWMM: A Powerful Duo for Urban Drainage Modeling 🤩

SWMM 5 🌧️, a free program developed by the U.S. Environmental Protection Agency (EPA), is a widely used tool for simulating the hydraulics and hydrology of urban drainage systems. ICM SWMM 💧 seamlessly integrates the SWMM 5 C engine into ICM as an ICM SWMM Network, unleashing the combined power of both platforms.

This integration empowers ICM SWMM to harness the comprehensive capabilities of SWMM 5 while also leveraging the extensive tools and features of ICM InfoWorks 🛠️ and the ICM 2D engine 🗺️. In essence, ICM SWMM stands as an enhanced version of SWMM 5, combining the strengths of both platforms to tackle complex drainage challenges with greater efficiency and accuracy 🎯.

Delving into the Key Components of ICM SWMM ⚙️:

• SWMM 5 C engine ☔️: The core computational engine for hydraulic and hydrologic modeling, providing the foundation for analyzing urban drainage systems with precision.

• ICM UX 📱: A user-friendly graphical interface that facilitates model setup, editing, and visualization, transforming complex data into intuitive visuals 📈📊.

• CM Output 📄: A powerful output generation and management tool that enables users to extract, analyze, and present model results in various formats, empowering informed decision-making 💡.

• Ruby 💎: A scripting language that provides flexibility in automating tasks and extending ICM SWMM's functionality, streamlining workflows and enhancing capabilities 🦾.

• SQL 💻: Support for accessing and manipulating data from external databases, enhancing data integration capabilities and enabling seamless collaboration across platforms 🤝.

• ICM Import 📂: Ability to import existing SWMM 5 models, ensuring a seamless transition and integration with ICM SWMM, eliminating the need for rework and saving valuable time ⏳.

ICM SWMM: A Comprehensive and Versatile Platform for Urban Drainage Modeling ☔️🛣️

ICM SWMM represents a comprehensive and versatile platform for urban drainage modeling, combining the established capabilities of SWMM 5 with the advanced features and tools of ICM InfoWorks. This combination empowers engineers and professionals to tackle complex drainage challenges with greater efficiency and accuracy, ensuring the optimal design and management of urban drainage systems for a healthier and more sustainable future 🌱🌎.

🌐 Employing SWMM Networks within InfoWorks ICM. 🌐

Employing SWMM Networks within InfoWorks ICM. 🌐

Embarking on the Digital Odyssey: Setting up SWMM Networks in InfoWorks ICM 🚀 In this digital era, akin to an interstellar journey, the first milestone is to incorporate a SWMM network into the database, akin to discovering a new galaxy through the Explorer window. Then, unveil this newly added SWMM network on the GeoPlan, much like unveiling a cosmic map. 🌌

Crafting the Digital Cosmos: Data Addition and Model Parameterization 🌟 As one crafts constellations in the sky, data is artfully added to the network. The process resembles aligning stars, where various options for model parameters are set - a crucial step much like aligning planets in a solar system. Pay particular attention to ensuring that network flow units and force main equations are correctly aligned. 🌠

The Galactic Network: Adding Objects and Defining Events 🛰️ Just as a galaxy is composed of diverse celestial bodies, the SWMM network is built with various objects - nodes, links, subcatchments, points, and polygons. These can be added through different methods, reflecting the diverse ways celestial objects form in the universe. Additionally, time-varying event data, the pulsars of our network, need to be specified, lending dynamic variability to our model. 🌍

Intertwining Fates: Linking Rainfall Events and Regulator Structures 🌧️ In the tapestry of our network galaxy, rainfall events act as nebulae, shaping the formation of our network. Ensure these are linked to the applicable network objects. Similarly, if regulator structures are the black holes of our system, define their control rules meticulously using the Control Rule Editor. 🌦️

The Snowy Comets: Specifying Snow Parameters ❄️ If your simulation orbits around modeling snow melt, do not forget to specify the snow parameters, akin to tracking comets in your cosmic model. 🌬️

The Dimensional Dance: Inclusion of 2D Simulations 🌈 For those daring to explore further dimensions, include a 2D simulation alongside the 1D one. This requires the creation of a 2D mesh, a step akin to unfolding the fabric of space-time. 🌀

Final Preparations: Validation and Simulation Settings 🛠️ Before launching this cosmic odyssey, validate the network. Correct any errors, much like fixing a spacecraft before a launch. Finally, set the parameters for your SWMM Run and embark on this digital journey. 🚀

The Journey's Fruit: Running Simulations and Harvesting Data 🌍 With dynamic wave routing at the heart of these simulations, akin to the pulsating core of a star, run your simulations. Then, observe the results, much like an astronomer gazing upon the outcomes of cosmic events. 📊

In this journey through the digital cosmos of SWMM Networks in InfoWorks ICM, we see a parallel to exploring the vast, mysterious universe. Each step, from setting up the network to running simulations, is akin to navigating through the endless expanse of space, uncovering the secrets held within our own created digital universe. 🌌🔭

SWMMReact - Issac Gardner

Source - https://www.linkedin.com/posts/issac-gardner-71455018a_swmm-water-data-activity-7130930177513029633-NTaG?utm_source=share&utm_medium=member_desktop

💧ICM InfoWorks Link or Conduit 1D Solution Options 💧

 💧ICM InfoWorks Link or Conduit 1D Solution Options 💧

Aspect	Conduit Model (Full Solution Model)	Pressurised Pipe Model	Force Main Model	Permeable Solution Model	Finite Volume Solution Model
Basic Description	Represents a link in the network, typically between two nodes.	Used for specific cases like rising mains or inverted siphons.	Advanced feature for pressurised systems, especially useful for long rising/force mains subject to low hydraulic heads.	Used for modelling permeable pavements or similar structures.	Developed for complex trans-critical flow scenarios, particularly useful for resolving hydraulic jumps within a conduit.
Key Characteristics	Boundary conditions are of outfall or headloss type. <br> - Gradient defined by invert levels at each end. <br> - Variety of pre-defined cross-sectional shapes.	Does not assign base flow or a Preissmann slot to a pipe. <br> - More accurately predicts velocities and storage.	- Assumes pipe is always full.- Water level maintained at least to pipe soffit level. <br> - Can result in erroneous flow generation if used inappropriately.	Governing equation based on Darcy's Law.	Replaces individual conduit's solution while integrating with the existing node-matrix solver and boundary conditions. <br> - Utilizes a Roe Riemann solver for flux term resolution.
Model Equations	Saint-Venant equations (conservation of mass and momentum).	Similar to the full model but with modifications for pressurised conditions.	Uses the same equations as the Pressurised Pipe Model but with specific assumptions for application.	Involves calculation of discharge using Darcy's Law and consideration of porosity and lateral inflow.	Based on de Saint-Venant equations in conservative vector form for a control volume.
Hydraulic Roughness	Two different values can be assigned for different parts of the conduit.	Not specified.	Not specified.	Not specified.	Not specified.
Sediment Consideration	A permanent depth of sediment may be defined; no erosion or deposition considered.	Not specified.	Not specified.	Not specified.	Not specified.
Special Features	- Non-standard cross-sectional shapes can be modelled. <br> - Preissmann slot for smooth transition between free surface and surcharged conditions.	- Excludes modelling of the inertia term for pressure pipes if selected. <br> - Stay pressurised simulation parameters option to prevent negative depths.	- Intermediate points such as junctions should be represented using break nodes. <br> - Negative hydraulic grade lines may occur.	- Modelling of lateral inflow and porosity.	- Capable of resolving transitions between sub- and super-critical flows. <br> - Implicit terms linearised with a first-order Taylor series expansion. <br> - Friction slope defined as a part of the equations.
Appropriate Use Cases	Suitable for a wide range of scenarios including both closed pipes and open channels.	Recommended for specific scenarios like rising mains where pressurisation is a key factor.	Best used in pressurised pipes, particularly for long rising mains. Not recommended for gravity pipes.	Ideal for scenarios involving permeable media.	Best for scenarios where there are transitions between sub- and super-critical flows, and for accurately modelling hydraulic jumps.

This table provides a high-level comparison of the different solution models, highlighting their unique features, governing equations, and appropriate use cases. If you need more detailed information or specific aspects of these models, feel free to ask!