OpenFlows FLOOD: 1D/2D Flood Modeling - AulaGEO

This lecture introduces the essential first steps for creating a new flood model workspace from scratch using OpenFlows FLOOD. It builds on the previous exercise where we explored an existing workspace, model inputs, and simulation results to shift focus towards setting up a new project environment.

Creating a new workspace and model domain is foundational for any flood modeling project, regardless of the model type. This lesson guides you through starting an empty workspace, naming conventions, and establishing the directory structure that organizes simulation data.

The workflow includes configuring the model domain and selecting the appropriate numerical model to prepare for further model development, such as terrain and grid generation.

Key topics covered in this lecture:

• Creating a new workspace with default and custom naming

• Accessing and using the Workspace Manager dialog

• Creating and inserting a new model domain within the workspace

• Specifying directories and managing project folder structure

• Selecting the Urban Flow Simulator model type

• Setting up a project framework ready for terrain and simulation configuration

Practical value for flood modeling workflows:

• Establishing a clean starting point for building flood models

• Organizing project files and domains systematically

• Preparing a framework that supports integrated 1D/2D urban flood modeling

• Understanding software navigation for new project setup

By the end of this lesson, learners will know how to initiate a new workspace and create a model domain, setting the groundwork necessary for effective flood modeling projects in OpenFlows FLOOD.

This lecture continues the development of the Urban Flood Digital Twin model by focusing on the import of digital terrain data, a crucial step for accurate flood simulation.

Topographic data provides the essential elevation information needed to build the computational grid, representing surface heights within each cell. This surface elevation is fundamental to correctly simulate water flow dynamics and flood behavior in the model.

The lesson demonstrates how to import raw terrain files, particularly XYZ format data, into OpenFlows FLOOD's workspace. It explains the structure of XYZ files including their headers and footers, as well as how to position and register these files correctly within the project for later use in grid generation.

Key topics covered in this lecture

• Role and importance of topographic data in flood modeling

• Understanding the XYZ file format for terrain data

• Steps to import XYZ digital terrain files into the project workspace

• Managing project directories and file placement for correct integration

• Adding imported terrain data as layers on the model map

Practical value in flood modeling with OpenFlows FLOOD

• Enables creation of an accurate computational mesh representing surface elevations

• Facilitates integration of diverse topographic data sources into the flood model

• Supports essential data preparation for 1D/2D hydraulic simulations

By completing this lecture, learners will understand how to correctly import and visualize digital terrain data, setting the foundation for building reliable and precise flood simulation models.

This lecture focuses on creating the 2D computational grid, a fundamental step in setting up an urban flood model using OpenFlows FLOOD. The computational grid defines the spatial resolution and coverage where the hydraulic and hydrologic calculations occur.

The session explains the importance of selecting an appropriate grid resolution, balancing model accuracy with computational performance. It also covers how the digital terrain model (DTM) is generated by interpolating raw topographic data onto the grid, which influences how well the land surface is represented in the model.

Practical demonstration guides you through creating a constant-spaced computational grid, setting parameters such as grid origin, resolution, rows, and columns. You learn to save the grid file correctly within the project’s data structure and visualize it in the modeling environment.

Key topics covered in this lecture:

• Concept and purpose of a 2D computational grid

• Balancing grid resolution for accuracy versus runtime performance

• Generation of digital terrain model (DTM) by interpolation to the grid

• Types of grids supported by OpenFlows FLOOD (regular, rotated, curvilinear)

• Step-by-step creation of a constant-spaced grid

• Saving and organizing grid data files within the project folder

• Visualizing the computational grid on the map interface

Practical value for flood modeling workflows:

• Enables precise spatial discretization necessary for accurate flood simulations

• Improves representation of terrain elevation data in the hydraulic model

• Supports setup of an integrated 1D/2D urban flood Digital Twin workflow

• Facilitates model performance tuning by adjusting grid resolution

By completing this lecture, learners will understand how to create a computational grid that effectively balances detail and computational efficiency, set up the digital terrain model for flood simulations, and manage grid files within the project environment.

In this lecture, we continue the urban flood modeling workflow by learning how to smooth the Digital Terrain Model (DTM). Smoothing the terrain data is essential to reduce abrupt changes in elevation values, which can cause numerical instabilities during flood simulations. This process refines the elevation grid by averaging neighboring cells to produce a more stable and reliable model base.

We explore the Smooth Grid Data tool within OpenFlows FLOOD, learning how to select the appropriate input grid and set parameters such as the smoothing radius and factor. These parameters control how many adjacent cells influence the smoothing and the balance between the original and averaged elevations.

After generating the smooth DTM file, we also update the project domain to reference this improved terrain model, ensuring subsequent simulation steps use the more stable elevation data. This step is critical for enhancing simulation accuracy in urban flood modeling.

Key topics covered in this lecture:

• Purpose and importance of smoothing a Digital Terrain Model

• Using the Grid Data Smooth tool in OpenFlows FLOOD

• Understanding and selecting smoothing parameters: radius and factor

• Generating a new smoothed terrain grid data file

• Updating the domain properties to reference the smoothed DTM

Practical value for urban flood modeling:

• Improves numerical stability during hydrologic-hydraulic simulations

• Reduces unrealistic slopes and noise in terrain data

• Ensures more accurate representation of surface runoff and flow paths

• Prepares models for better integration in 1D/2D combined simulations

By the end of this lesson, you will understand how to apply smoothing algorithms to refine digital terrain models and incorporate the resulting data into your project domain, enabling you to build more stable and realistic urban flood simulations in OpenFlows FLOOD.

This lecture guides you through the process of creating and configuring the first simulation within the established model workspace and terrain domain. You will learn how to initiate a new simulation, assign its name, and understand the default settings for the various simulation modules involved.

The focus is on familiarizing you with the input files that control simulation parameters and outputs, specifically highlighting how to adjust common and critical settings. A key part of this session involves configuring the simulation timing through the editing of the model's input file.

By following this workflow, you will set the foundation for dynamic simulation management and prepare for advanced time series output configurations, which are essential for analyzing urban flood behavior.

Key topics covered in this lecture:

• Creating a simulation within the OpenFlows FLOOD domain

• Assigning simulation names and understanding default settings

• Exploring input files for module configurations

• Editing the primary model input file to set simulation start, end, and time step values

• Saving and managing simulation configuration files

Practical application in flood modeling:

• Establishing a simulation framework for urban flood analysis

• Configuring module parameters to reflect project needs

• Setting simulation timing for accurate time series data generation

• Preparing the model for subsequent steps like detailed time series output configuration

After completing this lesson, you will be able to confidently create and configure a simulation setup, ensuring proper control of module options and timing parameters essential for flood modeling workflows.

In this lecture, we delve into the process of defining time series output locations within OpenFlows FLOOD, an essential step for efficiently extracting dynamic simulation results. Because OpenFlows FLOOD does not generate output data for every grid cell to maintain performance and limit storage requirements, it is necessary to explicitly specify points or elements in the model where time series data should be recorded. This selection process enables targeted analysis of flood behavior in key areas of interest.

The workflow begins with the creation of a dedicated directory for time series output files, a prerequisite before any data specification. Within the project, users create a "Time Series" folder under the General Data section, organizing output files systematically. Then, using the toolbox, the user opens the tool "Create Time Series in Grid Location," which allows the definition of precise spatial points on the grid where output values will be generated over time.

Points can be added graphically by selecting locations on the map, enabling an intuitive approach to mark coordinates near significant features—such as the center of a digital terrain model. The option to save these points as XML geometries is recommended to preserve spatial information in a portable format. Additionally, the tool allows tuning the buffer size used for data writing, balancing between system memory usage and output writing frequency to optimize simulation performance.

Once points are defined and the time series location file is saved, it appears in the project modules pane and can be loaded as a map layer for visualization. This provides an immediate graphical feedback of output locations, enhancing user confidence in data configuration before running simulations.

A separate but related process involves defining time series at nodes within the drainage network, which differs from the stormwater drainage elements. This requires loading or creating the appropriate drainage network module. If such a network is not yet present, users can manually set up time series location files using the text editor in OpenFlows FLOOD. This flexibility ensures comprehensive output configuration regardless of the model’s current status.

Manual editing demands careful adherence to the file format conventions, including keywords such as dtoutputtime and maxbuffersize, specifying output intervals and internal buffer sizes. The file must detail node and link blocks with names matching elements in the stormwater network, enabling output generation for any number of nodes or conduits. This method supports advanced customization and direct control over output properties.

To illustrate, the lecture guides learners through creating and saving a blank time series location file titled "nodetimeserieslocations.DAT" in the Time Series directory. The file editor is then used to populate this file with structured data copied from a supporting resource. This approach instills the practical skills needed for manual configuration and understanding of the underlying data structures.

Key Topics Covered in This Lecture

• Rationale for selective time series output locations in flood modeling

• Creating and organizing output directories within the project

• Graphical selection of grid points for time series data

• Buffer size considerations for performance tuning during output writes

• Loading and visualizing time series location files on the map

• Definition and creation of node-based time series in drainage networks

• Manual configuration of time series files using the built-in text editor

• File formatting and keyword usage for time series input files

• Working with node and link blocks to match stormwater network elements

• Practical example of setting up a blank node time series location data file

Practical Value Within Flood Modeling Workflows

• Enables targeted observation of model outputs to critical areas reducing unnecessary data processing

• Optimizes performance and storage by limiting output to specified points

• Supports early detection and monitoring of flood dynamics through configurable time series

• Facilitates integration of drainage network output for comprehensive 1D/2D modeling

• Improves workflow flexibility by offering both graphical and manual output configuration methods

• Prepares time series data for scenario analysis and decision-making support

• Enhances the user’s ability to manage simulation data systematically within project structures

Upon completion of this lecture, learners will be proficient in establishing precise output locations for time-dependent data in OpenFlows FLOOD projects. They will understand the technical and practical considerations of managing output files, be able to use both graphical and manual methods to configure these outputs efficiently, and thus prepare their models for in-depth analysis of urban flood and stormwater behaviors.

This lecture introduces the fundamental steps in starting an urban flood modeling workflow using Bentley's OpenFlows FLOOD software. It focuses on creating and organizing your project workspace and preparing essential base data for a 2D flood simulation.

You will learn how to import and handle various spatial data types including digital terrain models (DTM) from common file formats like raster grids and shapefiles. The lecture also covers important editing techniques for DTMs to accurately represent real-world features such as building rooftop elevations.

The session further explains how to set critical surface properties, including roughness coefficients (Manning's n) and permeability values, which directly affect runoff generation during rainfall events. Finally, it guides you through defining the simulation domain, specifying geographic boundaries, numerical methods, and input/output file management.

Key topics covered in this lecture:

• Creating and structuring a workspace for flood modeling projects

• Importing and editing digital terrain models in various formats

• Assigning surface properties like roughness and permeability

• Defining the numerical domain with geographic boundaries and settings

• Overview of workflow steps for 2D flood simulation setup

Practical value for flood modeling and simulation:

• Establish a solid foundation for organizing flood modeling projects

• Prepare and customize terrain and surface data for accurate simulations

• Understand the importance of surface characteristics in runoff generation

• Set up a simulation domain aligned with project goals and software requirements

By the end of this lecture, you will be able to initiate a flood modeling project in OpenFlows FLOOD, effectively prepare terrain and surface data, and configure the simulation domain to begin urban flood simulations.

This lecture introduces the initial steps for preparing your project workspace within the OpenFlows FLOOD environment. Setting up the workspace correctly is essential for managing the flood modeling project efficiently and ensuring all related files and data are organized systematically.

You'll learn how to create the necessary folder structure on your computer, including mandatory folders such as 'temp' and 'project,' which can be located on any desired drive or directory. This helps keep your modeling workflow clean and manageable.

Following the folder setup, the lecture guides you through creating a new empty workspace named "UFS Reality Model" in OpenFlows FLOOD, which serves as the foundation for your watershed digital twin workflow simulations.

Key topics covered in this lecture:

• Folder and subfolder creation for flood modeling project files

• Understanding the role of 'temp' and 'project' directories

• Creating a new empty project workspace in OpenFlows FLOOD

• Naming and saving the workspace to maintain organization

Practical value for flood modeling workflows:

• Establishes a clean and structured working environment for project data management

• Prepares the foundation for efficient simulation setup and data handling

• Ensures reproducibility and clarity through organized file systems

After completing this lecture, you will understand how to properly prepare your project's file environment and create a new workspace in OpenFlows FLOOD, which sets the stage for all subsequent watershed modeling and simulation tasks.

In this lecture, you will learn the importance of digital terrain models (DTM) for defining land surface characteristics and study boundaries essential for flood modeling. The session introduces key GIS inputs including building footprints, vegetation coverage, stormwater inlet locations, and the study area boundary—all critical for accurate hydrologic and hydraulic simulations.

The workflow demonstrates how to import and manage these inputs within OpenFlows FLOOD’s GIS environment using shapefiles and digital surface models. You will explore essential steps such as loading the Digital Surface Model (DSM) from an ASCII file, configuring map projections, and adding layers for buildings and vegetation. This foundational step ensures that your watershed model is built on precise and well-defined spatial data.

By integrating these GIS layers, you establish the groundwork needed for later stages of hydrologic and hydraulic modeling, supporting more reliable flood analysis and scenario testing.

Key topics covered:

• Role of digital terrain and surface models in flood studies

• Using Bentley ContextCapture outputs as reality meshes

• Importing and visualizing DSM in OpenFlows FLOOD

• Adding shapefile layers for buildings, vegetation, and stormwater inlets

• Configuring geographic projections and layer properties

• Leveraging built-in GIS tools in OpenFlows FLOOD

Practical value for flood modeling:

• Establish accurate land surface representation for watershed modeling

• Define study boundaries and site features relevant for flood simulations

• Prepare and manage GIS inputs to support integrated 1D/2D flood workflows

• Enhance model reliability through proper terrain and feature mapping

After completing this lecture, you will understand how to load and configure essential GIS layers and terrain data in OpenFlows FLOOD. You will be equipped to build a strong spatial foundation for watershed flood modeling that supports detailed hydrologic analyses in subsequent workflow steps.

Topographic data forms the foundation for accurate flood and runoff simulations. In this lecture, you will learn how to create a computational grid required by OpenFlows FLOOD, which involves interpolating elevation data from your source terrain models to a grid format suitable for simulation.

The digital elevation model used initially often differs in resolution from the simulation grid. Therefore, you will manually define the grid’s origin, spacing, and dimensions to match your study area requirements. This step ensures your model captures key surface features within the drainage basin boundaries.

Following grid creation, you'll process elevation information by extrapolating data from raster or XYZ files into the grid, forming the digital terrain model (DTM) needed for hydrologic and hydraulic computations.

Key topics covered in this lecture:

• Understanding the need for a computational mesh with representative elevation values

• Manual creation of a constant spaced 2D simulation grid with defined resolution and extent

• Loading and interpolating digital elevation data from raster and XYZ files into the grid

• Use of shapefiles to define study area boundaries and exclusion zones

• Saving and managing grid and grid data files for simulation

• Visualizing and managing layer display within OpenFlows FLOOD

Practical value in flood modeling workflows:

• Enables accurate terrain representation tailored for 1D/2D flood simulations

• Supports defining the spatial domain and resolution of hydrologic and hydraulic analyses

• Facilitates integration of diverse topographic data sources (raster, XYZ, shapefiles)

• Prepares essential input files critical for successful numerical modeling

By the end of this lecture, you will be able to create a customized computational grid and accurately interpolate elevation data to generate a digital terrain model suitable for use in simulation workflows within OpenFlows FLOOD.

This lecture focuses on delimiting the study area for watershed-scale flood modeling using a shapefile boundary in OpenFlows FLOOD.

You will learn how to import and configure a polygon shapefile that defines the basin boundary, ensuring the grid cells outside this area are excluded from 2D hydrodynamic calculations.

The workflow integrates spatial data preparation with grid editing tools to set inactive all points lying outside the designated study polygon.

Key topics covered in this lecture:

• Importing and configuring ESRI shapefiles for the basin boundary

• Setting the coordinate projection to UTM WGS 1984 for accurate geo-referencing

• Using the Edit Grid Data toolbox to modify grid cell status

• Selecting grid cells by mouse and geometry methods

• Applying the 'Close Points' operation to mark inactive grid cells

• Saving edits to ensure inactive cells are excluded during simulation

Practical value in flood modeling workflows:

• Accurately defining the active simulation area for efficient computational performance

• Excluding irrelevant cells outside the watershed boundary to focus on the study region

• Preparing a clean and precise model domain essential for hydrologic-hydraulic analyses

• Improving model reliability by incorporating spatially correct boundary data

By completing this lecture, you will know how to use polygon shapefiles and grid editing functionalities in OpenFlows FLOOD to effectively delimit the study area, a crucial step that ensures your watershed modeling is spatially accurate and computationally optimized.

In this lecture, you will learn how to define surface roughness values, specifically Manning's n coefficients, for your flood modeling grid in OpenFlows FLOOD. Surface roughness is a critical factor influencing friction losses and runoff flow behavior across the modeled terrain. While elevation data provides the topographic context, assigning appropriate roughness coefficients allows the hydraulic simulation to realistically represent how water interacts with different surface features.

The lecture starts by explaining the option to apply a uniform Manning's n value across the entire computational grid as a baseline approach. You will then gain practical experience using the grid data editing tools within OpenFlows FLOOD to create a new layer of roughness data, which you will save separately to preserve your original elevation information. This workflow establishes a key best practice: maintain clear data versions for different model inputs to ensure flexibility and repeatability.

Next, you will learn how to refine the initial uniform roughness by assigning localized coefficients based on spatial polygons representing different land cover types. In the demonstration, building footprints and vegetation areas are identified as shapefiles that allow selective application of distinct roughness values—higher for buildings and vegetation, reflecting their greater resistance to flow compared to open terrain.

The process involves selecting grid elements based on polygon intersection, editing their Manning's n values accordingly, and saving these changes in your grid data file. The lecture details each step clearly, including selecting by mouse or geometry methods, using add-to-selection behaviors, and verifying the updated results through visualization layers.

This approach supports a nuanced representation of roughness variability within your flood model, improving the accuracy of hydrologic and hydraulic simulations. By integrating land cover information directly into the roughness data, you can better capture how urban structures and natural surfaces influence flood wave propagation and runoff distribution.

Throughout the tutorial, you will see how OpenFlows FLOOD's intuitive grid editing and data management tools streamline the assignment of Manning's coefficients, enabling efficient workflows grounded in both technical correctness and practical engineering needs.

Key topics covered:

• Role of Manning's n coefficient in flood and runoff modeling

• Setting a uniform Manning's n value for the entire computational grid

• Creating a new grid data file to store roughness layers without overwriting elevation data

• Selecting grid elements by mouse or polygon geometry

• Assigning different Manning's n values based on land cover polygons (buildings and vegetation)

• Using shapefiles for spatial roughness refinement

• Saving and managing multiple grid data layers for model input flexibility

• Visualizing and validating roughness distributions within the model grid

Practical value in flood modeling workflows:

• Enables accurate representation of surface friction and flow resistance in simulations

• Improves model realism by integrating land cover heterogeneity

• Supports scenario analysis by allowing easy adjustments of roughness values

• Preserves original elevation data by creating independent roughness layers

• Facilitates targeted parameterization for urban, vegetated, and open terrain zones

• Enhances simulation quality for flood risk assessment and infrastructure planning

• Streamlines grid data editing with OpenFlows FLOOD’s built-in tools

By the end of this lecture, you will be empowered to define and manage spatial distributions of surface roughness values within your watershed flood models. This skill is essential for producing hydrologically and hydraulically valid simulations that reflect the true complexity of real-world terrain and land cover. You will understand how to use OpenFlows FLOOD to flexibly assign, edit, save, and visualize Manning's coefficients, which directly influence flow resistance and runoff behavior in your integrated 1D/2D flood model workflows.

In this lecture, you will learn how to define surface permeability, a critical parameter for accurate runoff modeling in a watershed-scale flood simulation. While surface roughness accounts for friction losses as water flows over terrain, permeability determines the proportion of rainfall that infiltrates the soil versus the portion that becomes surface runoff. This distinction is essential for simulating realistic hydrologic processes and flood dynamics within the 2D computational grid.

The lecture begins by clarifying the role of permeability, or more specifically impermeability, within OpenFlows FLOOD. Unlike standard infiltration metrics, this permeability parameter indicates the fraction of a surface area that is impervious to water penetration. Consequently, higher permeability values represent greater potential for runoff generation, corresponding to areas like paved streets and buildings where infiltration is minimal. Conversely, vegetated or natural zones exhibit lower impermeability to reflect enhanced water absorption.

Practical application of this concept uses polygon shapefiles representing distinct land cover types such as streets, buildings, and vegetation, which you should have already loaded into your workspace. By assigning different impermeability values to these polygons, you customize the grid layer to reflect the watershed’s heterogeneous surface properties. For example, streets are set to 90% impermeability, buildings to 100%, and vegetated zones to 40%.

Throughout the lesson, a hands-on workflow within OpenFlows FLOOD guides you to update the grid data by selecting all grid elements and assigning an initial impermeability of 0.9 uniformly. Then, successive selections are made for vegetation and buildings using the GIS shapefile layers to apply their specific impermeability values. This involves methods such as selecting by geometry and intersections, applying user-defined values, and creating new selections to avoid overwriting previous assignments.

Moreover, you also explore OpenFlows FLOOD’s integration with web mapping layers, which enriches the visualization of your model background. By enabling a Bing Maps aerial base map and adjusting the map projection to Web Mercator, the software provides a clearer spatial context for the terrain and grid data. This feature complements the technical parameterization by enabling visual verification of impervious and pervious areas overlaid on real-world imagery.

Finally, you learn to manage the display of different grid data layers, using color gradients to visually assess the spatial distribution of Manning roughness and permeability values. This aids in review and quality control to ensure your surface property assignments accurately represent the modeled environment before proceeding with further hydrologic simulation steps.

This lecture balances technical parameter setup with spatial data integration, underscoring how surface permeability assignment directly influences runoff generation and flood modeling accuracy in the digital watershed twin.

Key topics covered in this lecture:

• Understanding the concept of surface permeability and impermeability

• Relation between permeability and runoff generation in 2D flood modeling

• Use of polygon shapefiles for land use classification

• Assigning impermeability values to streets, buildings, and vegetation

• Grid data editing in OpenFlows FLOOD using selection and geometry tools

• Applying user-defined values for grid element properties

• Incorporating web mapping layers with coordinate system adjustments

• Visualization and quality control with color gradients on grid layers

Practical value of this lecture in flood modeling and watershed digital twins:

• Enables realistic representation of surface runoff generation by mapping impermeable surfaces

• Supports accurate hydrologic response modeling by differentiating infiltration rates across land cover types

• Facilitates spatial integration of GIS data to enhance model detail and precision

• Improves confidence in simulation results through visual verification of parameter assignments

• Demonstrates effective use of OpenFlows FLOOD tools for grid data management and editing

• Provides workflow techniques transferable to various urban and watershed modeling scenarios

• Integrates web-based aerial imagery to contextualize surface characteristics geographically

By completing this lecture, you will have the knowledge and skills to define and customize surface permeability effectively within your watershed flood model. This will greatly improve your model’s ability to simulate runoff and flooding patterns influenced by land surface characteristics, an essential step in building reliable, data-driven Digital Twin water system representations.

In this lecture, you will learn how to create and define the urban simulation domain crucial for 1D/2D flood modeling within the watershed digital twin workflow. Establishing the simulation domain sets the foundation for accurate flood simulations by organizing project files, terrain data, and model inputs in a structured environment.

The process begins with naming and configuring the simulation domain, linking the digital terrain model (DTM), and assembling all necessary input files from earlier preprocessing steps. These include terrain data, boundary conditions like precipitation time series, and supporting elements like Manning coefficients and permeability data.

After organizing the domain’s directory and importing key files such as grid data and the sewer system model, you will finalize the setup by defining a new simulation instance within the domain. This includes selecting calculation modules and reviewing preloaded configuration files to adjust simulation timing and output options.

Key topics covered in this lecture:

• Creating a new urban flood simulation domain and project directories

• Importing and organizing key input files (terrain, Manning data, boundary conditions)

• Assigning the digital terrain model to the simulation domain

• Setting up the simulation instance and calculation modules

• Reviewing and editing module-specific configuration files

Practical value in flood modeling and watershed simulation:

• Establishes a clear project structure for managing complex model inputs

• Prepares the environment for integrated 1D/2D flood and stormwater simulations

• Ensures consistent data referencing for accurate simulation results

• Facilitates control over key simulation parameters and outputs

By completing this lesson, learners will be able to confidently create and configure a comprehensive urban flood simulation domain in OpenFlows FLOOD, ensuring all essential input data and settings are in place to carry out detailed hydrologic and hydraulic modeling workflows.

In this lecture, we continue the watershed modeling workflow by focusing on importing inlet locations from GIS data into OpenFlows FLOOD. Specifically, the lecture starts by recapping the previous session, where catch basin elements were exported to a shapefile from SewerGEMS. These inlet shapefiles are essential as they represent coupling points between the 1D drainage network and the 2D surface model, enabling integrated simulation of surface and subsurface flows.

The main challenge addressed here is transforming the point features from the shapefile into a grid format that OpenFlows FLOOD requires for defining catch basin elements effectively. This workflow demonstrates how to use the "Inlets from Points" tool within OpenFlows FLOOD, converting point shapefiles into grid files that the 1D/2D model can utilize during simulations.

Technically, you learn how to load the inlet shapefile by accessing the Maps tab, selecting the ESRI shapefile, and correctly projecting it using the UTM WGS 1984 coordinate system. Proper projection ensures spatial alignment between the inlet locations and other model elements.

Next, the workflow involves navigating through the toolbox to launch the Urban Floods Inlets from Points tool. Key user settings include selecting the correct Digital Terrain Model (DTM) as the grid raster input, specifying the inlet points layer, setting the inlet length to 2, and, importantly, choosing not to place inlets in depressions. The rationale behind this decision is that placing inlets in all depressions would unrealistically direct all ponded water towards the drainage network, whereas in reality, many depressions do not connect to the subsurface system.

The lecture guides you through saving the new grid data with the name "inletslocation.dat" in the project directory, followed by processing the conversion. Once complete, the resulting grid data layer titled "Inlets Location" appears in the map layers, indicating successful import and conversion of GIS inlet points into a model-ready format.

Understanding this step is critical in watershed Digital Twin workflows, as it sets the foundation for linking surface hydrology with the urban drainage system, enabling more accurate simulations of stormwater runoff and flood events.

Key Topics Covered

• Exporting catch basin element shapefiles from SewerGEMS

• Using GIS inlet shapefiles as coupling points between 1D and 2D flood models

• Projection and coordinate system settings for GIS data import

• Utilizing the Inlets from Points tool to convert point shapefiles into grid data

• Configuring tool options, including inlet length and placement settings

• Reasons for excluding inlet placement in depressions within the model

• Saving and naming grid files within the project workspace

• Visualizing new inlet location grids in OpenFlows FLOOD map layers

Practical Value in Watershed Flood Modeling

• Facilitates integration of GIS inlet data into flood simulation models

• Ensures spatial accuracy and alignment of inlet locations with terrain and drainage networks

• Improves realism in representing how surface water enters drainage systems

• Allows customization of inlet positioning to reflect actual field conditions

• Supports the Digital Twin approach by linking surface and subsurface hydrologic components

• Enables scenario testing of urban flooding with precise inlet definitions

• Enhances workflow efficiency by automating inlet grid generation from point features

By the end of this lecture, you will be able to confidently import and convert GIS-based inlet points into the grid format required by OpenFlows FLOOD, preparing your watershed model for integrated hydrologic-hydraulic simulation that accurately couples 1D drainage elements with 2D surface runoff processes.

In this lecture, you will learn how to configure time series reporting for stormwater elements within the 1D drainage network model. Time series reports record the simulation results at specific points of interest in your model, providing detailed insights into hydrologic and hydraulic behaviors over time. These points are not limited to inlets or other coupled nodes but can be any strategically selected locations along the network, enabling thorough monitoring and analysis for flood modeling and water system management.

The lecture begins by guiding you through the process of setting up a dedicated directory within the project workspace to store all time series configuration files. This organizational step ensures that your simulation inputs remain clear and accessible for future editing or review. You will create a new folder called "Time Series" inside the model's general data directory, which becomes the central location for all time-based report definitions.

Next, you will create and edit the time series location file, specifically named "Node Time Series Locations.DAT." This file is critical as it contains the list of model elements for which the simulation outputs will be generated at each time interval. With a supporting file provided, you can easily copy preformatted code and paste it into the file editor, streamlining the setup. This file specifies output generation every 60 seconds and is limited to 10,000 lines to manage data volume effectively.

The selected elements in the example model include two outfalls, a manhole, and multiple contour nodes that represent key points in the drainage network. These locations serve as monitoring stations to capture flood depths, flow velocities, and other hydraulic parameters essential for detailed analysis. The ability to select any element in the network as a reporting point increases flexibility and provides richer data for scenario evaluations and decision-making.

Following the configuration of reporting points, the lecture covers how to adjust simulation configuration settings to align with the time series report requirements. You will learn to locate and edit the simulation control files, such as Model1.DAT, which govern the start and end times of the simulation, the analysis time step, and user interface update intervals. Maintaining synchronization between the OpenFlows FLOOD simulation and linked 1D models, such as sewer or stormwater models, is emphasized to ensure accurate and consistent results across integrated workflows.

To conclude, you will be advised to save and close your configurations properly and proceed to run the simulation with the newly defined reporting setup. Once the simulation completes, you can analyze the generated time series outputs for the selected stormwater elements to better understand their hydraulic responses throughout the modeled event. This lesson finalizes by linking back to previous lectures where result interpretation was covered, reinforcing a holistic modeling workflow incorporating setup, simulation, and analysis.

Key Topics Covered in This Lecture

• Creating directories for time series configuration files

• Defining node time series location files

• Enabling time series output triggered every 60 seconds

• Selecting specific elements (outfalls, manholes, contours) for reporting

• Editing simulation control files (Model1.DAT) for timing and analysis settings

• Ensuring synchronization with linked 1D models

• Managing output file size limits

• Saving and closing configuration files

• Running simulation with configured reporting

• Accessing and reviewing simulation results

Practical Value in Flood Modeling and Stormwater Management

• Enables detailed temporal monitoring of hydraulic conditions at critical points

• Supports scenario-based analysis by capturing dynamic system responses

• Improves understanding of flood propagation and network behavior

• Facilitates integration with broader 1D/2D modeling workflows

• Allows management of simulation data size for efficient storage and processing

• Provides a basis for updating system design or operational strategies

• Supports workflow alignment between hydrologic inputs and hydraulic simulation

By completing this lecture, learners will be able to confidently configure time series reporting within OpenFlows FLOOD models, define targeted points for result generation during simulations, and adjust simulation timing settings aligned with integrated 1D models. This capability enhances model analysis depth and equips them to better assess flood risks and stormwater behaviors over time in complex drainage networks.

In this lecture, you will begin by familiarizing yourself with an existing watershed project in OpenFlows FLOOD. This introduction sets the stage for a practical exercise that will help you understand how workspaces are organized and managed.

You will start by creating a structured folder system on your local computer and then importing a ready-made project workspace into the software. This process is essential to ensure your work environment is properly set up for subsequent modeling tasks.

Following the import, you will explore the project domain in depth by navigating the workspace’s tree view, giving you insight into the spatial and data organization within an OpenFlows FLOOD project.

Key topics covered in this lecture:

• Setting up local folders and directories for project management

• Importing an existing workspace into OpenFlows FLOOD

• Navigating the Project Workspace Manager and OpenFlows FLOOD interface

• Exploring the project structure through the Explorer tab and project tree pane

• Understanding workspace naming conventions and imports

Practical value for watershed flood modeling:

• Learn how to efficiently organize project files and data for flood modeling

• Gain hands-on experience in importing and opening existing watershed workspaces

• Understand software navigation to review and interpret project elements

• Prepare a solid foundation for rebuilding and customizing watersheds from scratch

By the end of this lecture, you will be able to import existing watershed workspaces successfully and navigate their components within OpenFlows FLOOD, providing a basis for more advanced watershed modeling and simulations.

This lecture provides an in-depth review of an existing watershed project within OpenFlows FLOOD, focusing on understanding the workspace structure and how project elements are organized.

You will explore the project hierarchy, including the division of workspaces into domains, general data folders, simulations, and various file types. The interface navigation through the Explorer tab and Modules pane is covered, showing how selecting different items updates available data and simulation files.

The session also guides you through visualizing spatial data using the built-in GIS engine, adding digital terrain models and aerial background maps, and how projections affect the display. You will learn how to run simulations, monitor their progress, and review output files such as HDF and time series data for model results.

Key Topics Covered

• Workspace hierarchy and domain elements in OpenFlows FLOOD

• Project Explorer and Modules pane navigation

• Adding and configuring digital terrain and aerial map layers

• Running simulations and monitoring execution

• Reviewing and interpreting output files including HDF and time series

• Basic visualization and display settings adjustments

• Understanding projections and coordinate systems in mapping

Practical Value in Flood Modeling

• Gain proficiency in navigating existing watershed projects

• Learn to integrate spatial data visualization with flood modeling

• Understand how to execute and monitor flood simulations effectively

• Interpret simulation outputs to support further analysis and decision making

By the end of this lesson, learners will be able to confidently navigate an OpenFlows FLOOD watershed project, run simulations, and review significant model outputs. This foundation enables users to efficiently manage and interpret existing flood models, preparing them for advanced model building and analysis tasks.

This lecture introduces the workflow to create a new OpenFlows FLOOD workspace focused on simulating a rainfall-runoff event within a watershed. Unlike previous exercises where pre-existing projects are reused, this session guides you through every step necessary to build and configure the model from the ground up.

You will utilize specific data files stored in a designated directory to set up the workspace domain and simulation environment. This foundational process sets the stage for further detailed hydrologic and hydraulic modeling tasks covered later in the course.

During the lesson, you will learn how to initiate the software, create a new project workspace, define the project domain with a suitable numerical model for watershed analysis, and organize your project files systematically.

Key topics covered in this lecture include:

• Creating a new project workspace in OpenFlows FLOOD

• Defining the simulation domain and project structure

• Selecting the appropriate numerical model (Mohid Land) for watershed-only analysis

• Organizing project directories and file management

• Initial setup steps prior to grid and elevation data processing

Practical value in flood modeling and watershed simulation:

• Establishing a clean and efficient project workflow from scratch

• Understanding the role of domain definition in hydrologic modeling

• Preparing a project environment that supports complex rainfall-runoff simulations

• Building skills essential for Digital Twin–aligned hydrologic and hydraulic simulation setups

By completing this lecture, you will confidently create a structured OpenFlows FLOOD project workspace ready to proceed with generating grid data and detailed watershed modeling. These foundational skills are crucial for accurate and effective simulation of rainfall-runoff events in professional water resources projects.

This lecture focuses on the essential step of importing and preparing topographic source data for watershed modeling. Using a base topographic file, you will generate a gridded digital terrain model (DTM), which serves as the foundation for the 2D computational grid and elevation values needed for any OpenFlows FLOOD simulation.

The session guides you through the required input data types, including digital terrain points in XYZ format, study boundary polygons, and the computational grid. You will also learn how to organize and import these files properly within the OpenFlows FLOOD project environment to streamline simulation setup.

Following best practices, the workflow encourages preserving base data separately from working project files, facilitating easier management and updates. By importing sample files such as the fractowpoints.xyz and boundary polygon files in supported formats, you will become familiar with handling terrain data and project folder structures.

Key topics covered in this lecture:

• Understanding the role of digital terrain models in flood simulation

• Required file formats: XYZ points and boundary polygons

• Importing and organizing topographic files within OpenFlows FLOOD

• Verifying geographic projection settings (WGS 1984)

• Using OpenFlows FLOOD tools for file management

Practical value for watershed and flood modeling:

• Establishing a reliable base terrain for accurate hydrologic-hydraulic simulations

• Organizing and managing project data efficiently

• Ensuring compatibility with OpenFlows FLOOD through proper file formats

After completing this lecture, you will understand how to import and prepare key topographic data files essential for building digital terrain models in OpenFlows FLOOD, enabling you to set the groundwork for detailed watershed and flood simulations.

This lecture guides you through the process of creating a computational grid, which is a crucial step in setting up your flood model for accurate hydrologic and hydraulic simulations.

You'll start by accessing the toolbox dialog and selecting the 'Grid Constant Spaced Grid' option, which opens a dedicated pane for grid configuration. Here, you define a constant spaced horizontal grid by specifying essential parameters like the grid origin, number of rows and columns, and the spacing between grid points.

As you adjust the grid parameters, the map tab dynamically updates, allowing you to visualize the grid layout immediately. Once the grid is configured to your satisfaction, you'll save it with a specific file name in the designated project directory, completing this foundational modeling step.

Key topics covered in this lecture:

• Opening and navigating the grid creation toolbox

• Setting up a constant spaced horizontal computational grid

• Defining grid origin, rows, columns, and spacing

• Visualizing the grid layout interactively on the map

• Saving the grid file to the project directory

Practical value for flood modeling workflows:

• Establishes the spatial framework for terrain and hydrologic calculations

• Ensures accurate grid alignment with project digital terrain data

• Supports seamless integration of computational grids in 1D/2D flood simulations

• Enables iterative grid adjustments based on visual feedback

By the end of this lesson, you will be able to confidently generate and save a computational grid that serves as the basis for subsequent terrain processing and hydraulic modeling steps, enhancing your ability to create reliable flood simulation models.

In this lecture, you will combine elevation data and the computational grid to create a gridded digital terrain model (DTM) that serves as the foundational surface for flood simulations.

The process involves using OpenFlows FLOOD's toolbox to generate the grid data from XYZ points within the study area boundary. After configuring the tool and generating the DTM, you will inspect the model for noise or errors often caused by interpolation, especially in flat floodplain areas.

When noise is detected, you'll apply smoothing techniques selectively to improve the elevation model's accuracy, creating a more representative terrain surface for hydraulic simulations.

Key topics covered in this lecture:

• Combining elevation points, study boundaries, and grid data to create the DTM

• Using the Create Grid Data tool within OpenFlows FLOOD

• Inspecting the generated grid for noise and errors

• Adjusting elevation visualizations to identify noise-prone areas

• Applying the Smooth Grid Data tool with the denoise algorithm

• Comparing original and smoothed terrain surfaces

Practical value for flood modeling workflows:

• Enhances the accuracy of terrain data used in flood simulations

• Reduces artifacts that can misrepresent water flow and flood extents

• Prepares a reliable basis for further hydraulic and hydrologic modeling tasks

• Improves overall simulation quality and confidence in results

By the end of this lesson, you will understand how to build, inspect, and refine a computational terrain grid that is critical for realistic flood modeling in OpenFlows FLOOD.

This lecture introduces the River Burn-In tool, an optional feature used to enhance digital terrain models by imprinting river centerlines into the terrain grid. This process improves the accuracy of rivers' representation, particularly in areas with flat floodplains and coarse elevation data.

The lesson emphasizes the importance of first verifying the modeled river network against actual river locations derived from elevation data. If discrepancies exist between the apparent and real river positions, the River Burn-In tool helps to reconcile these differences and improve model performance.

Following a practical workflow, learners are guided through preparing the map view for focused visualization and running the Burn-In operation. This includes adjusting layer styles, selecting appropriate layers, configuring output settings, and executing the process to generate an updated terrain grid layer.

Key topics covered in this lecture:

• Purpose and benefits of the River Burn-In tool

• Checking and comparing river network locations in the terrain data

• Layer preparation and style adjustment for clear visualization

• Step-by-step use of the Burn-In tool within the software interface

• Interpreting processing feedback and managing output layers

Practical value for flood modeling workflows:

• Enhances digital terrain accuracy for floodplain and valley representation

• Improves runoff flow and river location simulation reliability

• Supports better flood risk analysis through refined terrain data

• Prepares model for subsequent terrain correction steps such as depression removal

By the end of this lecture, learners will understand how to apply the River Burn-In tool effectively to improve their terrain data, thereby enabling more realistic and reliable flood and watershed modeling results.

This lecture focuses on preparing the terrain data for flood simulation by removing localized depressions from the digital terrain model (DTM). Proper terrain preparation is critical for accurate hydrologic and hydraulic modeling, especially in reverse flow scenarios where topography detail affects flow paths.

The session demonstrates the use of OpenFlows FLOOD’s specialized geoprocessing tools to enhance previously smoothed elevation data. The key process involves identifying and eliminating artificial sinks or depressions in the DTM to ensure water flow simulation behaves realistically.

By working through the Remove Depressions tool, you will learn how to load the original terrain data, analyze the terrain for depressions, visually inspect identified problem areas, and apply iterative removal functions to clean the DTM layer.

Key topics covered in this lecture

• Loading and selecting digital terrain model files in OpenFlows FLOOD

• Analyzing the DTM to detect localized depressions impacting flow simulation

• Using the Remove Depressions tool with default iterative removal options

• Understanding the visualization of depressions with temporary geometry layers

• Saving processed terrain data for future simulation use

• Considerations on processing time related to DTM file size and complexity

Practical value for flood modeling and simulation

• Improves reliability and accuracy of flood simulations by eliminating artificial terrain artifacts

• Ensures hydrologic flow paths are realistic and continuous for better model performance

• Supports effective preparation of terrain data for both urban and watershed flood models

• Enables a streamlined workflow for terrain pre-processing using integrated software tools

After this lecture, learners will be able to prepare digital terrain data by efficiently removing depressions, setting a solid foundation for subsequent watershed delineation and hydraulic modeling tasks within OpenFlows FLOOD.

In this lecture, you will learn how to associate a finalized depression-free digital terrain model (DTM) with a flood modeling domain within OpenFlows FLOOD. This important step links your processed gridded topography directly to the project's domain, ensuring that all subsequent hydrologic and hydraulic analyses are based on accurate terrain data. The lecture builds on your prior work of creating the workspace, domain, and guided DTM, guiding you through the precise steps required to complete the domain association through the Explorer tab and project properties interface.

Following the terrain association, the lecture introduces the watershed delineation process, a critical task for defining how runoff accumulates and flows within the selected modeling domain. Since watershed delineation depends heavily on a topography that is free from local depressions, the course highlights the prior preprocessing steps such as smoothing, river burning, and depression removal that you have performed incrementally to prepare the topography. This preprocessing ensures accurate flow paths are generated by the delineation tool without artificial disruptions.

The watershed delineation workflow is detailed clearly: initially the tool runs to generate the drainage network based on the processed DTM. Then, you specify the watershed outlet coordinates either by inputting precise X and Y values or by interactively selecting the point on the drainage network visualization displayed on the map. The location for the outlet must be positioned within a cell traversed by the drainage network and away from the watershed border to correctly capture contributing area flow.

Once the watershed delineation is processed, the course shows how to interpret key attributes of the resulting drainage network, such as the maximum Strahler order. This metric quantifies the hierarchy and structure of the stream network, providing valuable insight for configuring hydraulic models later in the workflow. Utilizing the query tool, you extract this information from the drainage network layer, confirming, for example, that the maximum stream order at your outlet is four, a detail you will need to reference as you develop further simulations.

This lecture is part of the section aimed at reviewing and interpreting existing models, designed to enhance your ability to work with previously prepared datasets and guide your own watershed modeling tasks. The focus on associating terrain with domains and watershed delineation emphasizes practical steps and decision points to ensure accurate and functional flood simulation inputs for both single and multi-watershed analyses in OpenFlows FLOOD.

Throughout the lesson, you gain hands-on experience applying domain association properties, running delineation algorithms, selecting outlets, and querying network characteristics, all within an integrated GIS and hydrologic modeling environment. This comprehensive coverage prepares you to confidently set up and validate watershed boundaries for robust hydrologic simulation later in the course.

Key Topics Covered

• Associating depression-free DTM to the modeling domain

• Navigating domain properties in the OpenFlows Explorer tab

• Understanding the significance of depression removal, smoothing, and river burning

• Executing watershed delineation to generate a drainage network

• Specifying watershed outlets via coordinates or graphical selection

• Interpreting watershed outlet placement constraints and validation

• Processing delineation and handling warning prompts

• Querying drainage network attributes, including the maximum Strahler order

• Practical use of GIS integrated tools in watershed modeling workflows

Practical Value for Flood Modeling and Watershed Simulation

• Prepares terrain and domain for accurate hydrologic and hydraulic simulations

• Ensures proper watershed definition, crucial for runoff and flood routing calculations

• Facilitates basin outlet selection for targeted flood event analyses

• Supports extraction of network hierarchy metrics for stream order-based modeling

• Enables efficient multi-tool workflow integration within OpenFlows FLOOD

• Provides hands-on skills to manage and validate complex spatial datasets

• Improves model setup reliability by minimizing topographic artifacts

By completing this lecture, learners will be able to confidently associate processed digital terrain data with project domains and execute accurate watershed delineation using OpenFlows FLOOD’s tools. This capability forms the foundation for subsequent rainfall-runoff simulations and integrated hydraulic modeling, enhancing both technical proficiency and understanding of hydrologic system behavior within flood risk assessment workflows.

In flood modeling, accurately representing the drainage network is essential for simulating how water flows through a watershed. This lecture focuses on the process of creating default cross sections for the river network within OpenFlows FLOOD, which is a critical step in enabling hydraulic flow propagation throughout the modeled basin. Cross sections describe the shape and dimensions of river channels at specified nodes, establishing the foundation for the hydraulic calculations in the simulation.

The OpenFlows FLOOD river module specifically requires cross sections defined at each drainage network node to simulate flow movement. This lecture guides you through practical use of the 'Default Cross Sections' tool within the software, which streamlines this process by automatically assigning cross sections based on hydrologic ordering methods. Two main methods are available: defining cross sections as a function of Strahler order or as a function of tributary area. Here, the focus is on using Strahler order to classify river reaches and assign appropriate cross sections accordingly.

The workflow begins by expanding the toolbox and selecting the MohidLand Default Cross Sections tool. This tool is designed to assist in efficiently defining cross sections for all river reaches in the watershed with minimal manual input. The Strahler method is toggled on from the default cross sections pane, and individual cross sections are configured using the Add button. Values for each class are carefully set until the user achieves a representative cross section figure capturing the essential hydraulic dimensions of the drainage network segments.

After configuring each default cross section systematically, the changes are saved via the Save button. Upon saving, the software confirms that the cross sections file has been successfully created and applied to all drainage nodes. This automated approach eliminates the need to manually digitize cross sections for every node, which can be time-consuming and prone to inconsistency, especially in extensive watershed models.

With cross sections defined, the hydraulic model is now structurally prepared to simulate flow propagation through the river network accurately. These predefined sections serve as cross-sectional hydraulic profiles, and their correct definition is vital for downstream hydraulic simulations and flood risk assessments. The cross section data integrates directly with river hydraulics, accounting for channel shape and flow conveyance properties as water travels through the modeled basin.

This lecture thus marks a key technical milestone in the overall flood modeling workflow, bridging terrain and drainage data with hydraulic simulation setup. It demonstrates a practical approach to systematizing river geometry data using hydrologic ordering principles, enabling consistent and efficient model configuration. The automated cross section assignment forms the structural backbone for subsequent simulation runs, sensitivity analyses, and scenario modeling that will be developed later in the course.

Key topics covered in this lecture

• Importance of defining cross sections for hydraulic flow propagation

• Overview of OpenFlows FLOOD river module requirements

• Using the MohidLand Default Cross Sections tool

• Two methods for default cross section assignment: Strahler order and tributary area

• Step-by-step process using the Strahler ordering method

• Configuring individual cross section parameters

• Saving and applying cross sections to the drainage network nodes

• Interpreting confirmation messages and validating the process

Practical value in flood modeling and watershed simulations

• Enables hydraulic simulation of flow propagation in river networks

• Standardizes cross section definition for large drainage systems

• Saves time and reduces errors through automation of cross section assignment

• Supports accurate modeling of channel conveyance characteristics

• Facilitates integration of drainage network geometry with hydraulic calculations

• Prepares the model for subsequent simulation and flood risk analysis

• Enhances workflow efficiency when working with complex watershed models

Upon completing this lecture, learners will understand how to efficiently create default cross sections for all nodes in a drainage network using the Strahler ordering method in OpenFlows FLOOD. This foundational skill ensures the hydraulic model is correctly structured to simulate flow routing and sets the stage for deeper flood modeling and interpretation throughout the watershed simulation process.

In this lecture, you will learn to create and configure a new watershed simulation within OpenFlows FLOOD, an essential step for running effective hydrologic and hydraulic analyses. Starting with the creation of the simulation project, you will navigate through the Explorer tab and Projectory pane to insert the simulation, assign its name, and activate necessary modeling modules such as Hydrology and Drainage Network. This process lays the foundation for managing your watershed analysis by organizing and preparing essential input files and modules efficiently.

You will then delve into the configuration files associated with each simulation module. The lecture guides you on how to access and modify these critical files, including ModelX.dat, BasinGeometry1.dat, Atmosphere1.dat, Basin1.dat, DrainageNetwork1.dat, and Runoff1.dat, to tailor simulation parameters to your specific watershed scenario. Attention is paid to setting realistic and consistent timing parameters, basin outlet and threshold areas, rainfall and atmospheric conditions, and defining surface runoff dynamics.

The workflow emphasizes understanding parameter compatibility across different files and modules. For instance, while editing the basin geometry settings, you will ensure they align with watershed delineation outputs. The example of applying a constant precipitation input in the atmospheric file illustrates a simplified yet practical approach, with notes on additional environmental factors OpenFlows FLOOD can incorporate, such as solar radiation and humidity, which remain adjustable if more detailed modeling is required.

Throughout the lecture, you engage with the File Editor interface, learning how to confidently navigate, update, save, and close configuration files within the software. This hands-on approach reinforces best practices in managing simulation inputs and demonstrates how to handle dropdown menus or direct code editing depending on your software version. The process culminates in setting up the simulation to be run with calibrated parameters reflecting realistic watershed behaviors and drainage network characteristics.

This detailed configuration practice is vital for preparing robust flood and runoff models, ensuring that the watershed simulation accurately reflects physical conditions. The lesson highlights the importance of precision and consistency in defining simulation components, which significantly affect subsequent model outputs and scenario analyses.

By following this lecture, you gain the technical skills and practical know-how to customize watershed simulations confidently, preparing you to conduct performance assessments, flood risk identification, and scenario-based planning effectively within OpenFlows FLOOD.

Key Topics Covered in this Lecture

• Creating a new simulation in OpenFlows FLOOD

• Activating essential modeling modules (Hydrology, Drainage Network)

• Accessing and modifying configuration files for watershed simulations

• Setting simulation timing parameters in ModelX.dat files

• Editing basin geometry to set outlets and threshold areas

• Configuring atmospheric parameters with precipitation inputs

• Adjusting general watershed simulation options

• Managing drainage network and runoff configuration files

• Using the File Editor interface for parameter updates and saving

• Ensuring consistency across multiple configuration files

Practical Value of this Lecture for Watershed Modeling and Flood Analysis

• Learn to establish and configure watershed simulations for integrated flood analysis

• Acquire skills to navigate and edit complex configuration files effectively

• Understand the significance of matching watershed geometric parameters with delineation data

• Gain knowledge of how to input realistic precipitation and atmospheric conditions

• Develop ability to manage drainage network parameters for detailed hydrologic modeling

• Build confidence in using OpenFlows FLOOD File Editor for precise simulation setup

• Prepare simulations ready for accurate flood risk and runoff scenario evaluations

By completing this lecture, you will be able to create and configure a comprehensive watershed simulation within OpenFlows FLOOD, mastering the critical setup steps that enable precise and reliable hydrologic and hydraulic modeling for flood management and planning purposes.

In this lecture, you will learn how to define and configure time series outputs for a watershed flood model using OpenFlows FLOOD. Time series outputs are essential for capturing temporal variations in key hydraulic and hydrologic parameters at specified locations on the computational grid and drainage network nodes. By default, the software activates time series output for some grid elements, but to generate meaningful simulation data, you must explicitly designate the locations where these outputs will be recorded.

The process begins with creating a time series location file for grid points, referred to as the Time Series Location DAT. This file is generated via a dedicated toolbox within the software, where you add points on the grid by selecting elements within the watershed boundary. While grid parameter constancy means the exact location is flexible, it is recommended to select points near the center of the watershed for representative output. You will learn to save this configuration correctly within the project's folder structure to ensure proper referencing during the runoff simulation stage.

Subsequently, the lecture covers setting up time series outputs for specific nodes in the drainage network. Using a similar toolbox function, you will select drainage nodes, mark them for output saving, and export the settings as XML geometry. This step complements the grid-based outputs by capturing hydraulic behavior at critical infrastructure points within the network.

After preparing the time series location files for both the grid and nodes, you will integrate these outputs with the runoff module by referencing the created files appropriately. You will then explore how to configure output parameters within the drainage network module to tailor the simulation data collection according to project needs.

Throughout the lecture, practical tips such as maintaining an organized project directory and following consistent naming conventions are shared to facilitate workflow clarity and reproducibility. The careful definition of time series outputs enables effective monitoring of model performance over time and supports detailed post-simulation analysis.

This session lays the necessary groundwork for executing simulations with dynamic outputs and prepares you to interpret temporal results in later lectures for decision-making and validation purposes.

Key Topics Covered

• Default activation and importance of time series outputs in flood modeling

• Creating time series location files for grid elements using toolbox tools

• Selecting appropriate grid elements within watershed boundaries

• Saving and organizing time series location files within project folders

• Setting up time series outputs for drainage network nodes

• Referencing time series location files in the runoff simulation module

• Configuring output parameters in the drainage network module

• Maintaining project file organization and consistency

• Preparing for simulation runs with time series outputs

Practical Value in Flood Modeling

• Captures temporal dynamics of flood parameters at specified watershed locations

• Enables detailed analysis of grid and network hydraulic behaviors

• Supports model calibration and validation through time-based data

• Facilitates scenario testing by monitoring changes at critical nodes

• Improves understanding of watershed response to rainfall inputs

• Organizes simulation data for efficient post-processing and reporting

• Integrates temporal outputs for comprehensive flood risk assessment

By the end of this lecture, you will be able to create, configure, and manage time series outputs for both the computational grid and drainage network nodes within your watershed flood model. This capability will enhance your ability to run simulations that provide detailed temporal information, critical for analyzing flood behavior and supporting resilient water infrastructure planning.

This lecture guides you through running the watershed simulation using OpenFlows FLOOD. It assumes that you have correctly set up all model parameters and are ready to execute the analysis.

You will learn how to initiate the simulation from the software interface, monitor its progress, and review the outcomes once the run completes. Proper execution and verification of results are critical steps before proceeding to interpret the data and make decisions.

This session also briefly covers how to explore simulation outputs through map layers and time series graphs, reinforcing the connection to earlier exercises in the course workflow.

Key topics covered in this lecture

• Preparation and checks before running the watershed simulation

• Running the simulation using the OpenFlows FLOOD interface

• Understanding simulation progress and completion messages

• Accessing and reviewing model results in the output window

• Exploring simulation outputs via map layers and time series data

Practical value for flood modeling workflows

• Learn how to confidently execute complex watershed simulations

• Develop good practices for result verification ensuring model run success

• Gain familiarity with navigating and visualizing simulation outputs

• Connect model execution with earlier data preparation and interpretation steps

By completing this lecture, you will be able to run the watershed simulation efficiently, verify its successful completion, and begin exploring its outputs to support informed flood risk assessment and watershed management decisions.

This lecture offers a comprehensive overview of Bentley's hydraulics and hydrology product portfolio, highlighting a wide range of software designed for water distribution, wastewater, stormwater, and hydraulic analysis.

It introduces key tools such as WaterGEMS, WaterCAD, SewerGEMS, SewerCAD, StormCAD, PondPack, Flood, Culvert Master, and Flow Master, explaining their core functionalities and specialized applications.

The session also covers the WaterWorks Suite, which bundles advanced solutions for modeling water distribution and sewer systems, supporting utilities and consultants of various scales.

Key topics covered in this lecture:

• Overview of Bentley's water distribution modeling tools including WaterGEMS and WaterCAD

• Introduction to wastewater and stormwater modeling software such as SewerGEMS and StormCAD

• Explanation of hydraulic calculation tools like Culvert Master and Flow Master

• Features of PondPack for retention and drainage study design

• Capabilities of the Flood model for urban, river, and coastal flood risk analysis

• Description of the WaterWorks Suite and its editions

• Integration and interoperability of Bentley's hydraulic and hydrology applications

Practical value in water and environmental modeling:

• Supports intelligent planning and optimization of water distribution and wastewater systems

• Enables comprehensive analysis, design, and operation of stormwater and flood management projects

• Facilitates compliance with regulatory requirements and risk mitigation

• Improves decision-making through reliable modeling workflows and scenario planning

• Offers integrated tools suitable for utilities, consultants, and engineers across diverse project types

By the end of this lecture, learners will have a clear understanding of the capabilities and roles of Bentley’s hydraulics and hydrology software products, enabling them to select appropriate tools for modeling, analysis, and management of water infrastructure systems.

This lecture offers a concise overview of the Bentley OpenFlows product suite, detailing its organization and available offerings as of 2024. You will gain an understanding of how Bentley Systems organizes its hydraulic and hydrology solutions under the OpenFlows brand, grouped into four main categories.

The session begins by introducing the categories Storm, Sewer, Water, and Flood, with explanations of the specific software applications included in each group. It highlights their compatibility with platforms like MicroStation and AutoCAD and notes the integration capabilities within Bentley’s ecosystem.

Additionally, the lecture explains Bentley’s licensing options through the Virtuosity platform, emphasizing the flexibility available for educational and commercial users. The discussion also touches on specialized tools like CulvertMaster and FlowMaster, broadening your awareness of the full hydraulic toolset.

Key Topics Covered:

• Overview of Bentley OpenFlows product categories: Storm, Sewer, Water, Flood

• Specific software included in each category such as Civil Storm, StormCAD, SewerGEMS, WaterGEMS, and Hammer

• Integration and compatibility with MicroStation and AutoCAD platforms

• Virtuosity licensing and product availability, including Spanish-language options

• Overview of Bentley’s hydraulic toolset including CulvertMaster and FlowMaster

Practical Value in Flood Modeling and Hydraulic Workflows:

• Helps learners understand the comprehensive suite of Bentley hydraulic and hydrology tools

• Clarifies product selection according to project needs and software environment

• Supports making informed licensing decisions via the Virtuosity platform

• Frames how OpenFlows FLOOD fits within the broader Bentley ecosystem for advanced hydraulic modeling

By the end of this lecture, learners will have a clear understanding of Bentley’s OpenFlows offerings and their role in integrated flood and hydraulic modeling, equipping them to navigate and select appropriate software tools for their projects.