Phius’ Post

oh HEC, EXCITING NEWS... Well at least for us water nerds. I will be looking at implementing this into standard land development workflows. Feel free to reach out if this interests you or you require something on your project. This release means I can actually stop using pumps or culverts to model pit and pipe networks, and use the new nested 1D-network! (Move over #Tuflow!, but not too far... I'll still need you) The HEC-RAS team has just released Version 6.6, packed with new features like 2D floodway encroachment zones, porosity and flow drag, and a beta version of Stormwater network pipes. You can download the new version and example data and play for yourself (Highly recommended). For release notes and new features, check out the link to their website, I've linked below. Link here> https://lnkd.in/g_fJZTue Additionally, there’s a sneak peek of RAS2025 Alpha (Sounds impressive), a complete software overhaul with a modern interface, enhanced modeling tools, and faster multi-core performance. This preview version is still in development, so expect some bugs (maybe a few #Belostomatidae's) and limited features. The team will host a live webinar on October 11th to showcase RAS2025. More details on their announcements page, I've linked below. Link Here > https://lnkd.in/gwsz5krz Happy modeling! For those interested in the gif, feel free to reach out. #HECRAS #RAS2025 #FloodModeling #Hydrology #WaterResources #GIS #StormwaterManagement #HydraulicModeling #Engineering #NewRelease #ModelingTools #SoftwareUpdate #ARR

🌊 Exploring Particle Movement Across Hydraulic Structures 🌊 Dive into our latest blog post where we explore the movement of Lagrangian particles in hydraulic environments. This study sheds light on how particles interact with complex hydraulic structures, a crucial aspect for engineers and environmental scientists involved in water quality modeling and management. Using EFDC_Explorer, we delve into modeling techniques that improve our understanding of particle behavior across weirs, dams, and more. Check out how these insights can enhance predictions for water flow and pollutant dispersion in real-world scenarios. 📖 Read the full article to learn more: https://lnkd.in/ebnvpwzK #EFDC #HydraulicEngineering #WaterQualityModeling #EnvironmentalScience #EFDCExplorer #LagrangianParticles #HydraulicStructures #ModelingInsights #EEMS #TimeSeriesCalibration #ModelingExcellence #EFDC #WaterQualityModeling #CyanobacteriaResearch #EnvironmentalScience #ModelingTechniques #EEModelingSystem #WaterEcosystems #EnvironmentalEngineering #AquaticEcology #ScienceInnovation #WaterManagement #EnvironmentalModeling #FluidDynamics #EcologicalResearch #WaterResearch

🗺️Digital Elevation Models (DEMs) are vital spatial data inputs for various hydrological applications. However their availability from diverse sources with varying resolutions poses challenges in identifying the most suitable product. 👥 Our team, in collaboration with other colleagues, recently evaluated six global freely available DEMs across diverse geographic regions to identify the best product for catchment and stream delineation and streamflow simulation. 💡Among the six DEMs, AW3D30 and COP30 showed the best performance in our evaluation, closely followed by MERIT. 📌Explore the full article here: https://lnkd.in/dh7Zy8i9. 📌Access the data and codes related to the article here: https://lnkd.in/dybViN6x

Groundwater Flow Modeling Using Modflow and GMS – Map to MODFLOW & Framework of Model | Part 19 https://lnkd.in/gHcQ5ps4

Groundwater Flow Modeling Using Modflow and GMS – Map to MODFLOW & Framework of Model | Part 19 https://lnkd.in/g3eZ3wVx

Intro to Groundwater Flow Modelling: Groundwater Flow Equation | Part 4 https://lnkd.in/derYmRgN

Groundwater Flow Modelling Using MODFLOW and GMS: Defining Top and Bottom Layers | Part 12 https://lnkd.in/gwu6zPS4

Dynamic land cover evapotranspiration model algorithm: DyLEMa Science Direct https://lnkd.in/grMVH5T3

There are four types of testing techniques that are employed in progressive collapse studies: static, quasi-static, dynamic, and pseudo-dynamic. Each testing method has its specific use case and limitations, and the choice depends on the study's objectives, available resources, and the level of realism required. 1. Static Testing is the simplest and most controlled but least realistic for sudden-collapse scenarios. 2. Quasi-Static Testing is a step closer to dynamic behavior than static tests but still does not fully capture time-dependent effects. 3. Dynamic Testing is the most realistic but complex and costly, capturing real-time effects. 4. Pseudo-dynamic Testing offers a balance, capturing dynamic response computationally with controlled loading. Read comments for further details. #StructuralEngineering #CivilEngineering #ProgressiveCollapse #Statics #Dynamics #QuasiStatic #PseudoDynamic #Buildings #StructuralAnalysis #Beginners

🔥 New Paper Alert! SIG team members co-authored "Quantifying the sampling error on burn counts in Monte-Carlo wildfire simulations using Poisson and Gamma distributions." This paper provides improved guidelines for finding the number of fires that we need to simulate in order to produce maps of fire risk. This replaces vague rules of thumb and time-consuming trial and error with simple mathematical formulas, making life easier for fire modelers. These findings promise to streamline simulation sizing and convergence assessment, saving time and resources. This work is leveraged in v3 of First Street’s #FireFactor which is anticipated to be released in June https://lnkd.in/gpNjtMmc 🌲📊 #WildfireResearch #Innovation