Aquaveo & Water Resources Engineering News

The Watershed Modelling System (WMS) includes use of the Rational Method, which enables the calculation of peak flows for small watersheds in urban and rural areas. This feature can combine runoff from multiple basins to find the values.

The Rational Method requires a couple specific components to calculate the runoff coefficient for an area. The required inputs are soil data, along with either a table relating soil IDs to runoff coefficients, or a runoff coefficient coverage. Composite runoff coefficients use an area-weighted average of all runoff coefficients that overlay each basin for computation. The inputs chosen will depend on what method you choose to calculate runoff in the Rational Method module. The two primary methods to calculate runoff are first, to assign coefficients to polygons within a coverage, and second, to import a table with all of the coefficients already assigned to a land or soil use ID.

There are two ways to assign runoff coefficients to a polygon. The first way is to enter the coefficients polygon by polygon, and the second is to assign the coefficients through the Soil type mapping dialog.

To assign runoff coefficients polygon by polygon, do the following:

1. Start with a Runoff Coefficient coverage.
2. Select one of the polygons that intersects the drainage basin.
3. Enter the runoff coefficient that matches the soil or land type for that polygon in the Runoff Coefficient dialog window that appears.
4. After entering the data for each polygon that intersects the basin, activate the Hydrologic Modeling Module and go to Calculators | Compute GIS Attributes.
5. In the Compute GIS Attributes dialog, make sure the following options are active:
   • “WMS Coverages” is selected as the data type.
   • Under Computation, Runoff coefficients is selected on the dropdown menu.
   • The “Use” dropdown is set to runoff coefficient coverage.
   • The “coverage name” dropdown is set to your new coverage.

To assign runoff coefficients to polygons by soil mapping, do the following:

1. Start with a “Soil Type” coverage.
2. Select one of the polygons that intersects the drainage basin.
3. On the bottom left of the Soil type mapping dialog that appears, turn off the "SCS Soil Type" checkbox and turn on the "Runoff Coefficient" checkbox.
4. You will now have a list of soil IDs and names with a field for runoff coefficients. Enter a coefficient value for each of these fields according to the material type.
5. Open the Compute GIS Attributes dialog as described above.
6. Set everything the same as are in the last set of steps, except change the "Use" dropdown to Coverage.

There are multiple ways to create runoff coefficient tables to import into a project. One of the ways is to create a table from scratch. If you choose this route, you can view the structure requirements on the Aquaveo wiki to make sure it includes everything you need. To import a table with the runoff coefficients, do the following:

1. With the “Soil Type” coverage active, double-click on a polygon that intersects the drainage basin.
2. Select “Import file” under Import soil attribute file.

You can also import a table in the Compute GIS Attributes dialog.

Head over to WMS and try out the different ways to assign runoff coefficients to your watershed project today!

Have you wondered which MODFLOW solver to use for your MODFLOW project in the Groundwater Modeling System (GMS)? When creating a groundwater model in GMS using MODFLOW, the selection of the solver package is an important decision that will affect the accuracy, speed, and efficiency of your model. This post will cover different complexities to consider while using GMS for your project.

MODFLOW offers different solver packages, and the appropriate selection depends on the specific characteristics of your model. Here are some tips and ideas on how to select a solver package for your MODFLOW project in GMS:

• Consider the size and complexity of your model. Some solver packages are more suitable for large and complex models, while others are better for smaller and simpler models.
• Look at the type of boundary conditions you are using. Some solver packages are more appropriate for models with sharp contrasts in hydraulic conductivity, while others are better for models with more gradual changes.
• Consider the amount of memory available on your computer. Some solver packages require more memory than others, and this can affect the size of the model you can simulate.
• Look at the speed of the solver. Some solver packages are faster than others, but this may come at the expense of accuracy.
• Consider the level of expertise you have with the solver package. Some solver packages are more user-friendly than others, and require less knowledge to set up and run.

Here are some general pros and cons of the available solver packages in MODFLOW:

• PCG - this is the most commonly used solver package in MODFLOW. It is versatile and can handle a wide range of models. It is efficient for small to medium-sized models. However, it can be slow and memory-intensive for larger models.
• GMG - this solver package is suitable for models with irregular grids and can handle models with steep gradients in hydraulic conductivity. It is efficient and requires less memory than PCG. However, it can be slower than PCG for models with smoother gradients.
• LMG - this solver package is designed for large-scale models with highly heterogeneous geology. It is efficient and can handle models with multiple stress periods. However, it requires more memory than PCG and can be slower for smaller models.
• NWT - this solver package is suitable for models with nonlinearities and can handle models with large gradients in hydraulic conductivity. It is efficient and requires less memory than PCG. However, it may be less accurate than PCG for models with sharp contrasts in hydraulic conductivity.

In summary, selecting the appropriate solver package for your groundwater model in MODFLOW requires careful consideration of the size, complexity, and boundary conditions of your model, as well as the amount of memory available on your computer, the speed of the solver, and your level of expertise with the solver package. Using GMS makes it easier to see which MODFLOW solver is best suited for your project. GMS also prevents selecting MODFLOW solvers that are incompatible with the selected version of MODFLOW.

Try out using the different MODFLOW solvers in GMS today!

If you've worked with an SRH-2D model in the Surface-water Modeling System (SMS), you may have noticed that there will be times that some nodes appear to have a negative water depth. This can be problematic because it often doesn't reflect the true nature of the body of water. SRH-2D simulations default their calculations to be cell-centered, while meshes calculate data from the nodes. Inactive cells are set to have a null value of -999, but if you're working with meshes, the nodes that touch the inactive cells will interpolate with the value of -999, thus causing a negative water depth to generate on that node. If this is something you want to avoid, here are some ways to eliminate a negative water depth.

The first way to eliminate these negative water depth values from your SRH model when working with a mesh is to run your simulation as normal, and then use the Data Calculator in the Data Set Toolbox to truncate the data to a more desirable number, often this number will be zero. Follow these steps to truncate the data:

1. Open the Data Set Toolbox under the Data menu.
2. Under the Math section, select the Data Calculator.
3. Find the dataset you are wanting to truncate, which will be labeled with "d#".
4. Enter the following formula into the Calculator: "trunc(x,a,b)" where x is the dataset to be truncated, and where all the data will be greater than or equal to a, and less than or equal to b.
5. Change the Output dataset name to one that suits your project.
6. Click Compute, then close the Data Set Toolbox.

Make the new truncated dataset active in the Project Explorer, and note that the new minimum water depth is zero.

Another way to get rid of negative water depths is to use an unstructured grid (UGrid). Ugrids use the same cell centered calculations that SRH-2D does, so you won't run into the same issues with how the data is interpolated. If you have already created your simulation on a mesh, you can follow these steps to convert to a UGrid:

1. In the Project Explorer, right-click the desired mesh and select Convert | Mesh → Ugrid.
2. If desired, change the Output grid name to something that suits your project.
3. Remove the mesh from the simulation by right-clicking on the mesh name under the SRH-2D Simulations folder and selecting Remove.
4. Drag the newly converted UGrid under Sim in the SRH-2D Simulations folder.
5. Run the simulation again.

SRH has now recalculated the data with the UGrid with only cell-centered interpolation, which should remove any unintended negative water depth calculations.

Go to SMS and try out these ways to eliminate negative water depth today!

Do you have a raster that has holes in it? The Fill Nodata can fix small holes in raster data. Available in GMS, SMS, and WMS. In this article, we will explore the ways that the Fill Nodata tool can be used in WMS.

The Fill Nodata tool fills in small areas or gaps in a raster where no elevation data exists. It is located in the Rasters/Fill Nodata section of the Toolbox. The tool will interpolate an elevation to raster cells that are classified as "NODATA". Then the tool will create a new raster in the project that has the fillable no data areas filled.

These holes in the raster can occur for a number of reasons, one of the most common being that the data is incomplete. WMS is flexible enough that it can use a raster with small amounts of missing data for most simulations. However, it is recommended that you have data that is as complete as possible to ensure the generated model is as accurate. Therefore using the Fill Nodata tool can help ensure the accuracy of your model.

The Fill Nodata tool has a few input parameters to keep in mind. The input raster is the most important parameter. This needs to be a raster that has been imported into the project. The maximum distance to interpolate determines how far out WMS will look to fill data. It will use pixel units to do this. The number of 3x3 average filter smoothing iterations to run determines how many smoothing interactions will be run after the interpolation has been calculated. Additional interactions can help in improving the fill data.

Keep in mind that the tool was not intended to create data for large regions of missing data cells, especially regions on the border of the raster. If you have a large area of missing data, it would be best to use other processes to fill in the missing data, such as downloading the missing data and merging it with your raster.

The Fill Nodata tool is one of thetools provided in WMS to let you modify and edit raster data. Try out the Fill Nodata tool in WMS today!