Aug, 2024: Improving SWMM Modeling with GIS Tools
Jul, 2024: Efficient Model Running With Automation
Apr, 2024: Water Quality Model Validation / Mass Balance Analysis
Mar, 2024: How to Benchmark your Hydraulic Solver
Nov, 2023: Real-time Flood Forecasting
Oct, 2023: Integrated Catchment & Receiving Water Modelling
Sep, 2023: Sediment Transport Modelling Applications
Aug, 2023: Computer Hardware Advice for Hydraulic Modelling
Apr, 2023: Water Quality Modelling - Part 2
Feb, 2023: Flood Modelling 101
Nov, 2022: 1D, 2D, 3D Hydraulic Modelling of Bridges
Oct, 2022: Flood Modelling Quality Control
Sep, 2022: Applied Hydrodynamic Modelling - Part 2
Jul, 2022: Applied Hydrodynamic Modelling - Part 1
Jun, 2022: Flood Risk Management
May, 2022: Coastal Water Quality Modelling
Apr, 2022: Operational Structure Modelling
Mar, 2022: 3D Coastal Modelling
Feb, 2022: Urban Pipe Network Modelling
Nov 2021: Modelling Water Quality in Lakes
Oct, 2021: Modelling Energy Losses at Structures
Sep, 2021: Tsunami, Dam Failure and Non-Newtonian Modelling
Jul, 2021: Next Generation 2D Hydraulic Modelling
June 2021, Maximising Hydraulic Model Accuracy
May, 2021: Coastal Modelling 101
Apr, 2021: Hydraulic Model Calibration to Historic Events
Mar, 2021: The Future of Water Quality Modelling
Feb 2021: Is Direct Rainfall (Rain-on-Grid) Accurate?
Dec 2020: 2D and 3D Sediment Transport Modelling
Nov 2020: 2D Cell Size Selection for Accurate Hydraulic Modelling
Oct 2020: Hardware Selection and Trends in Hydraulic Modelling
The United States Environmental Protection Agency (EPA) Storm Water Management Model (SWMM) is a popular, open source, hydrology and 1D modelling system. First developed in the late 60s and early 1970s by the University of Florida, Metcalf & Eddy, and CDM, the application has had many major upgrades over the decades to its current version.
Running a model efficiently relies primarily on making the right planning and design decisions. But once you know what results you need, and your models have been properly set up, there are many tools, tips, and tricks that can help you run them more efficiently.
The webinar discusses at an elementary level how to evaluate a hydraulic solver’s suitability and presents basic tests that can be carried out to help validate a model’s robustness. Hydraulic modellers and users of modelling outputs will find this webinar invaluable.
Choosing optimal compute hardware, on-premises or in the cloud, improves workflow efficiency and the ability to deliver modelling results on budget and on time. With a particular focus on GPU compute, this webinar is for IT managers as well as modellers and project managers.
Learn about the basic principles of hydraulic flood modelling. Dive into the history of 1D and 2D modelling, where to use one or the other, what are the data requirements, how should the boundaries be configured, explore a modelling example, and find out about some useful tips and tricks to quality control the modelling.
This webinar examines how, as a modeller, bridge crossings are best modelled in 1D, 2D, 3D layered and 3D CFD approaches. The uncertainties associated with each level of modelling and comparisons with measured data and industry guidelines are presented.
Two case studies demonstrating the use of hydrodynamic modelling as a tool for environmental management decision making. One focuses on water quality, the other on suspended sediment transport. The presenters will share lessons learnt and discuss key aspects of the modelling that were important for successful project execution.
This webinar presents a summary of current best practice flood risk management methods. It explores how to use data that is currently available to effectively assess flood risk and how to apply our understanding of flood risk to develop a suite of measures for an integrated approach to managing our floodplains.
1D pipe network / 2D above-ground modelling is common for urban flood risk and infrastructure design assessments. This webinar discusses the key 1D hydraulic calculations needed to replicate real-world flow behaviour. It also demonstrates automated GIS tools for data quality control review and error correction tasks.
Stationary water bodies exhibit unique physical behaviours, such as seasonal stratification and episodic turnover mixing. This webinar demonstrates hydraulic modelling of these complex physical behaviours. Learn about some common mistakes and gain various tips for your modelling.
This webinar explores the challenges and needs for accurately modelling extreme hydraulic shocks such as tsunamis and dam failures, along with non-Newtonian flow situations. Benchmarking to theoretical, flume and real-world measurements is presented.
Learn about the various aspects of hydraulic model calibration. Verification data types, reliability and quality control, useful model update practices to achieve accurate simulation results and also common result reporting considerations and approaches.
The use of smart particles that dynamically respond to environmental forcing and modify water quality is now possible. Learn how this capability can be exploited to better understand and manage aquaculture operations, and how GPU based computation can accelerate water quality simulation projects.
We discuss the accuracy of direct rainfall modelling based on benchmarking and calibration to historic data sets, and how new features in TUFLOW’s 2020 release have substantially overcome previous shortcomings of 2D hydraulic solvers for rain-on-grid modelling.
One size does not fit all. Hydraulic models need to be designed to suit the site-specific topography, hydrology and also study purpose. Chris Huxley leads this webinar stepping through a best practice workflow to guide your 2D hydraulic model design and build.
Greg Collecutt discusses how new generations of computer hardware favour certain hydraulic solution schemes and offer lower solution costs. Learn how and why current GPU technology can offer significantly lower costs per solution than CPU hardware.
Hear from Bill Syme, the original author of TUFLOW with over 30 years practical experience, as he discusses how new computational methods are increasing simulation speeds and analysis accuracy. Learn of the latest and greatest advancements, and the research that has underpinned TUFLOW’s 2020 release.
All models are wrong to some degree. If so, how wrong is the model and how do we as an industry quantify wrong? Where is the evidence base that a model is right? Watch as Bill Syme draws upon his 30 years experience in applying and developing hydraulic models.